PhD Students' Accepted Publications
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning
Brahmanage Janaka Chathuranga Thilakarathna, Jiajing LING, Akshat KUMAR
Paper published on The 39th Annual AAAI Conference on Artificial Intelligence in 2025.
A Contrastive Framework with User, Item and Review Alignment for Recommendation
DONG Viet Hoang, Yuan Fang
Hady W Lauw
Paper published on The 18th ACM International Conference on Web Search and Data Mining in 2025.
May 2025
MOSMAC: A Benchmark of MARL on Long Horizon Sequential Multi-Objective Tasks by
- PhD Candidate GENG Minghong;
- Shubham Pateria;
- Budhitama Subagdja;
- Ah-Hwee Tan;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
April 2025
Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems by
- PhD Candidate CHENG Mingfei;
- Xiaofei Xie;
- Yuan Zhou;
- Junjie Wang;
- Guozhu Meng;
- Kairui Yang;
Research Area(s):
- Information Systems & Technology
- Software Engineering
March 2025
VARIUM: Variational Autoencoder for Multi-Interest Representation with Inter-User Memory by
- PhD Candidate TRAN Nhu Thuat;
- Hady W. LAUW;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
February 2025
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated
Learning with Arbitrary Data Heterogeneity by
- Hongyan BAO;
- PhD Student CHEN Pengwen;
- Ying SUN;
- Zhize LI;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2024
A Full-History Network Dataset for BTC Asset Decentralization Profiling by in 2024 IEEE International Conference on Big Data (IEEE BigData 2024)
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
December 2024
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design by
- jxteoh-2023;
- PhD Candidate LI Wenjun;
- Pradeep VARAKANTHAM;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2024
Learning De-Biased Representations for Remote-Sensing Imagery by in The Thirty-Eighth Annual Conference on Neural Information Processing Systems
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2024
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games by
- PhD Student BUI The Viet;
- The Viet BUI;
- Tien MAI;
- Thanh NGUYEN;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2024
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning by
- PhD Student BUI The Viet;
- The Viet BUI;
- Tien MAI;
- Thanh NGUYEN;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
November 2024
A Survey of Ontology Expansion for Conversational Understanding by
- PhD Candidate LIANG Jinggui;
- Yuxia WU;
- Yuan FANG;
- Hao FEI;
- Lizi LIAO;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
November 2024
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs by
- PhD Candidate LIU Ran;
- Zhongzhou.LIU.2020;
- Xiaoli LI;
- Yuan FANG;
- ;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
November 2024
Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues by
- PhD Student DAO Quang Huy;
- Yang DENG;
- Khanh-Huyen BUI;
- Dung D. LE;
- Lizi LIAO;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
November 2024
Leveraging Large Language Model for Automatic Patch Correctness Assessment by
- PhD Candidate ZHOU Xin;
- Bowen Xu;
- Kisub Kim;
- DongGyun Han;
- huuhungn;
- Thanh Le-Cong;
- jundahe;
- Bach Le;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
November 2024
Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs by
- PhD Candidate ZENG Fengzhu;
- Wenqian Li;
- Wei Gao;
- Yan Pang;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
November 2024
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing by
- PhD Candidate ZHAO Wei;
- PhD Student LI Zhe;
- Yige Li;
- Ye Zhang;
- Jun Sun;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
October 2024
HiSOMA: A hierarchical multi-agent model integrating self-organizing neural networks with multi-agent deep reinforcement learning by
- PhD Candidate GENG Minghong;
- Shubham PATERIA;
- Budhitama SUBAGDJA;
- Ah-Hwee TAN;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
October 2024
Revisiting Masked Auto-Encoders for ECG-Language Representation Learning by
- PhD Candidate PHAM Hung Manh;
- Aaqib SAEED;
- Dong MA;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
October 2024
Promise and Peril of Collaborative Code Generation Models: Balancing Effectiveness and Memorization by
- PhD Candidate CHEN Zhi;
- Lingxiao JIANG;
Research Area(s):
- Information Systems & Technology
- Software Engineering
October 2024
Symbolic Execution for Dynamic Kernel Analysis by in ACM SIGSAC Conference on Computer and Communications Security 2024
Research Area(s):
- Cybersecurity
September 2024
Rethinking Unsupervised Outlier Detection via Multiple Thresholding by
- PhD Candidate LIU Zhonghang;
- Panzhong LU;
- Guoyang XIE;
- Zhichao LU;
- Wen-Yan LIN;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
September 2024
Deep Learning for Hate Speech Detection: A Comparative Study by
- PhD Candidate QIAO Hezhe;
- Jitendra Singh Malik;
- Guansong Pang;
- Anton van den Hengel;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
September 2024
Generative Semi-supervised Graph Anomaly Detection by
- PhD Candidate QIAO Hezhe;
- Qingsong Wen;
- Xiaoli Li;
- Ee-Peng Lim;
- Guansong Pang;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
September 2024
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement by
- PhD Candidate YING Jiahao;
- Mingbao Lin;
- Yixin Cao;
- Wei Tang;
- Bo Wang;
- Qianru Sun;
- Xuanjing Huang;
- Shuicheng Yan;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
September 2024
Automating dataset updates towards reliable and timely evaluation of large language models by
- PhD Candidate YING Jiahao;
- Yixin Cao ;
- Yushi Bai;
- Qianru Sun;
- Bo Wang;
- Wei Tang ;
- Zhaojun Ding;
- Yizhe Yang;
- Xuanjing Huang;
- YAN Shuicheng;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
September 2024
Enhancing Stance Classification on Social Media Using Quantified Moral Foundations by
- PhD Candidate ZHANG Hong;
- Quoc-Nam Nguyen;
- Prasanta Bhattacharya;
- Wei Gao;
- Liang Ze Wong;
- Brandon Siyuan Loh;
- Joseph J. P. Simons;
- Jisun An;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
August 2024
Temporal Gaussian Copula For Clinical Multivariate Time Series Data Interpolation by
- Ye Su;
- PhD Candidate QIAO Hezhe;
- Di Wu;
- Yuwen Chen;
- Lin Chen;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
August 2024
Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction by
- Hongbin Liang;
- PhD Candidate QIAO Hezhe;
- Wei Huang;
- Qizhou Wang;
- Mingsheng Shang;
- Lin Chen;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
July 2024
Unified Training of Universal Time Series Forecasting Transformers by
- PhD Candidate WOO Jiale Gerald;
- Chenghao LIU;
- Akshat KUMAR;
- Caiming XIONG;
- Silvio SAVARESE;
- Doyen SAHOO;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
July 2024
How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge Graphs by
- PhD Candidate XIAO Hanhua;
- Yuchen LI;
- Yanhao WANG;
- Panagiotis KARRAS;
- Kyriakos MOURATIDIS;
- Natalia-Rozalia AVLONA;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
July 2024
Augmenting Decision with Hypothesis in Reinforcement Learning by
- PhD Student NGUYEN Minh Quang;
- Hady W. LAUW;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
June 2024
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation by
- Haofeng LIU;
- PhD Candidate XU Chenshu;
- PhD Candidate YANG Yifei;
- Lihua ZENG;
- Shengfeng HE;
Research Area(s):
- Human-Machine Collaborative Systems
- Multimedia Systems
June 2024
BreathPro: Monitoring Breathing Mode during Running with Earables by
- PhD Student HU Changshuo;
- Thivya KANDAPPU;
- Yang LIU;
- Cecilia MASCOLO;
- Dong MA;
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
June 2024
Detecting Foot Strikes during Running with Earbuds by
- PhD Student HU Changshuo;
- Thivya KANDAPPU;
- Jake STUCHBURY-WASS;
- Yang LIU;
- Anthony TANG;
- Cecilia MASCOLO;
- Dong MA;
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
June 2024
Synergizing Large Language Models and Pre-Trained Smaller Models for Conversational Intent Discovery by
- PhD Candidate LIANG Jinggui;
- Lizi Liao;
- Hao Fei;
- Jing Jiang;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
June 2024
Imitating Cost-Constrained Behaviors in Reinforcement Learning by
- PhD Candidate SHAO Qian;
- Pradeep Reddy VARAKANTHAM;
- Shih-Fen CHENG;
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
June 2024
How is our mobility affected as we age? Findings from a 934 users field study of older adults conducted in an urban Asian city by
- yizhen-tan.2021;
- PhD Candidate TRAN Ngoc Doan Thu;
- Sapphire LIN;
- Fang ZHAO;
- Yee Sien NG;
- Dong MA;
- Jeonggil KO;
- Rajesh BALAN;
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
June 2024
MtdScout: Complementing the Identification of Insecure Methods in Android Apps via Source-to-Bytecode Signature Generation and Tree-based Layered Search by
- PhD Candidate ZHANG Zicheng;
- Haoyu MA;
- Daoyuan WU;
- Debin Gao;
- Xiao YIYufan CHEN;
- Yan WU;
- Lingxiao JIANG;
Research Area(s):
- Cybersecurity
May 2024
DreamAnime: Learning Style-Identity Textual Disentanglement for Anime and Beyond by
- PhD Candidate XU Chenshu;
- Yangyang XU;
- Huaidong ZHANG;
- Xuemiao XU;
- Shengfeng HE;
Research Area(s):
- Human-Machine Collaborative Systems
- Multimedia Systems
May 2024
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection by
- Yutong CHEN;
- Hongzuo XU;
- Guansong PANG;
- PhD Candidate QIAO Hezhe;
- Yuan ZHOU;
- Mingsheng SHANG;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
May 2024
Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts by
- PhD Candidate YING Jiahao;
- Yixin Cao;
- Kai Xiong;
- Yidong He;
- Long Cui;
- Yongbin Liu;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
May 2024
Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks by
- PhD Candidate GENG Minghong;
- Shubham PATERIA;
- Budhitama SUBAGDJA;
- Ah-Hwee TAN;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
May 2024
Scaling up Cooperative Multi-agent Reinforcement Learning Systems by in 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
May 2024
Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models by
- Khaing Phyo Wai;
- PhD Candidate GENG Minghong;
- Budhitama SUBAGDJA;
- Shubham PATERIA;
- Ah-Hwee TAN;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
May 2024
Learning Multi-Faceted Prototypical User Interests by
- PhD Candidate TRAN Nhu Thuat;
- Hady W. LAUW;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
May 2024
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead by
- PhD Candidate ZHOU Xin;
- Sicong CAO;
- Xiaobing SUN;
- David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
May 2024
Intriguing Properties of Data Attribution on Diffusion Models by
- PhD Candidate ZHENG Xiaosen;
- Tianyu Pang;
- Chao Du;
- Jing Jiang;
- Min Lin;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
May 2024
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast by
- Xiangming Gu;
- PhD Candidate ZHENG Xiaosen;
- Tianyu Pang;
- Chao Du;
- Qian Liu;
- Ye Wang;
- Jing Jiang;
- Min Lin;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
May 2024
Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel by
- PhD Candidate LYU Yunbo;
- Hong Jin KANG;
- Ratnadira Widyasari;
- Julia LAWALL;
- David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
April 2024
Isolating Compiler Bugs by Generating Effective Witness Programs with Large Language Models by
- PhD Candidate TU Haoxin;
- Zhide Zhou;
- He Jiang;
- PhD Candidate Imam Nur Bani YUSUF;
- Yuxian Li;
- Lingxiao Jiang;
Research Area(s):
- Information Systems & Technology
- Software Engineering
April 2024
Concretely Mapped Symbolic Memory Locations for Memory Error Detection by
- PhD Candidate TU Haoxin;
- Lingxiao Jiang;
- Jiaqi Hong;
- Xuhua Ding;
- He Jiang;
Research Area(s):
- Information Systems & Technology
- Software Engineering
April 2024
Actively Learn from LLMs with Uncertainty Propagation for Generalized Category Discovery by
- PhD Candidate LIANG Jinggui;
- Lizi Liao;
- Hao Fei;
- Bobo Li;
- Jing Jiang;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
April 2024
DronLomaly: Runtime Log-based Anomaly Detector for DJI Drones by
- PhD Student Wei Minn;
- Yan Naing Tun;
- Lwin Khin Shar;
- Lingxiao Jiang;
Research Area(s):
- Information Systems & Technology
- Software Engineering
April 2024
MiniMon: Minimizing Android Applications with Intelligent Monitoring-Based Debloating by
- Jiakun LIU;
- PhD Candidate ZHANG Zicheng;
- Xing HU;
- Ferdian THUNG;
- Shahar MAOZ;
- Debin GAO;
- Eran TOCH;
- Zhipeng ZHAO;
- David LO;
- ;
Research Area(s):
- Information Systems & Technology
- Software Engineering
April 2024
REDriver: Runtime Enforcement for Autonomous Vehicles by
- PhD Candidate SUN Yang;
- Christopher M. Poskitt;
- Xiaodong Zhang;
- Jun Sun;
Research Area(s):
- Information Systems & Technology
- Software Engineering
April 2024
Greening Large Language Models of Code by
- PhD Candidate SHI Jieke;
- PhD Candidate YANG Zhou;
- Hong Jin KANG;
- Bowen XU;
- PhD Candidate HE Junda;
- David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
April 2024
Curiosity-Driven Testing for Sequential Decision-Making Process by
- PhD Candidate HE Junda;
- PhD Candidate YANG Zhou;
- PhD Candidate SHI Jieke;
- PhD Candidate YANG Chengran;
- Kisub Kim;
- Bowen Xu;
- PhD Candidate ZHOU Xin;
- David Lo;
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
- Information Systems & Technology
- Software Engineering
April 2024
Beyond a Joke: Dead Code Elimination Can Delete Live Code by
- PhD Candidate TU Haoxin;
- Lingxiao JIANG;
- Debin GAO;
- He JIANG;
Research Area(s):
- Information Systems & Technology
- Software Engineering
March 2024
1. Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts;
2. Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection by
- 1. ;
- PhD Candidate ZHU Jiawen;
- Guansong PANG; 2. ;
- PhD Candidate ZHU Jiawen;
- Choubo DING;
- Yu TIAN;
- Guansong PANG;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
March 2024
Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation by
- PhD Student DAO Quang Huy;
- Yang DENG;
- Dung D. LE;
- Lizi LIAO;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
March 2024
DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers by
- PhD Candidate MA Xiao;
- Shengfeng HE;
- hezheqiao.2022;
- Dong MA;
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
February 2024
Modularized Networks for Few-shot Hateful Meme Detection by
- PhD Candidate CAO Rui;
- Roy Ka-Wei LEE;
- Jing JIANG;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
February 2024
Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training by
- PhD Candidate LI Wenjun;
- Pradeep Varakantham;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
January 2024
Predicting viral rumors and vulnerable users with graph-based neural multi-task learning for infodemic surveillance by
- PhD Candidate ZHANG Xuan;
- Wei GAO;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
January 2024
Conversational Localization: Indoor Human Localization through Intelligent Conversation by
- PhD Candidate SHESHADRI Smitha;
- Kotaro HARA;
Research Area(s):
- Human-Machine Collaborative Systems
- Human-Computer Interaction
January 2024
Intriguing Properties of Data Attribution on Diffusion Models by
- PhD Candidate ZHENG Xiaosen;
- Tianyu Pang;
- Chao Du;
- Jing Jiang;
- Min Lin;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
January 2024
Leveraging LLMs and Generative Models for Interactive Known-Item Video Search by
- PhD Candidate MA Zhixin;
- Jiaxin WU;
- Chong Wah NGO;
Research Area(s):
- Human-Machine Collaborative Systems
- Multimedia Systems
January 2024
Remote Multi-Person Heart Rate Monitoring with Smart Speakers: Overcoming Separation Constraint by
- PhD Candidate TRAN Ngoc Doan Thu;
- Dong MA;
- Rajesh BALAN;
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
January 2024
Knowledge Generation for Zero-shot Knowledge-based VQA by
- PhD Candidate CAO Rui;
- Jing JIANG;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2023
Estimating Propensity for Causality-based Recommendation without Exposure Data by
- PhD Candidate LIU Zhongzhou;
- Yuan FANG;
- Min WU;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
December 2023
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims by
- PhD Candidate ZENG Fengzhu;
- Wei GAO;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
- Machine Learning & Intelligence
December 2023
FlowPG: Action-constrained Policy Gradient with Normalizing Flows by
- PhD Candidate BRAHMANAGE Janaka Chathuranga Thilakarathna;
- Jiajing LING;
- Akshat KUMAR;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
- Machine Learning & Intelligence
December 2023
Handling Long and Richly Constrained Tasks through Constrained Hierarchical
Reinforcement Learning by
- PhD Candidate LU Yuxiao;
- Arunesh SINHA;
- Pradeep VARAKANTHAM;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
- Machine Learning & Intelligence
December 2023
Estimating Propensity for Causality-based Recommendation without Exposure Data by
- PhD Candidate LIU Zhongzhou;
- Yuan FANG;
- Min WU;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
December 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning by
- PhD Candidate CHEN Changyu;
- Ramesha Karunasena;
- Thanh Hong Nguyen;
- Arunesh Sinha;
- Pradeep Varakantham;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2023
Truncated affinity maximization: one-class homophily modeling for graph anomaly detection by
- hezhe-qiao-2022;
- Guansong Pang;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2023
Disentangling Transformer Language Models as Superposed Topic Models by
- PhD Candidate LIM Jia Peng;
- Hady LAUW;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2023
ROME: Evaluating pre-trained vision-language models on reasoning beyond visual common sense by
- yblai;
- AU YEONG Wei Bin;
- Prof Kyriakos MOURATIDIS;
- Prof Jing JIANG;
- Kankan ZHOU;
- Eason LAI;
- Wei Bin AU YEONG;
- Kyriakos MOURATIDIS;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2023
QuantumEyes: Towards Better Interpretability of Quantum Circuits by
- Shaolun Ruan;
- Qiang Guan;
- Paul Griffin;
- Ying Mao;
- Yong Wang;
Research Area(s):
- Human-Machine Collaborative Systems
- Human-Computer Interaction
December 2023
Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources by
- PhD Candidate ZHOU Xin;
- Kisub KIM;
- Bowen XU;
- Donggyun HAN;
- David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
December 2023
DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers by
- PhD Candidate MA Xiao;
- Shengfeng HE;
- PhD Candidate QIAO Hezhe;
- Dong MA;
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
December 2023
Representation Learning for Stack Overflow Posts: How Far are We? by
- PhD Candidate HE Junda;
- PhD Candidate ZHOU Xin;
- Bowen Xu;
- Ting Zhang;
- Kisub Kim;
- PhD Candidate YANG Zhou;
- Ferdian Thung;
- Ivana Clairine Irsan;
- David Lo;
Research Area(s):
- Information Systems & Technology
- Software Engineering
November 2023
KRover: A Symbolic Execution Engine for Dynamic Kernel Analysis by
- PhD Candidate Pansilu Madhura Bhashana Pitigalaarachchi PITIGALA ARACHCHILLAGE ;
- Xuhua DING;
- Haiqing QIU;
- haoxintu.2020;
- Jiaqi HONG;
- Lingxiao JIANG;
Research Area(s):
- Cybersecurity
November 2023
Memory Network-Based Interpreter of User Preferences in Content-Aware Recommender Systems by
- PhD Candidate TRAN Nhu Thuat;
- Hady W. LAUW;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
November 2023
VIOLET: Visual Analytics for Explainable Quantum Neural Networks by
- Shaolun Ruan;
- Zhiding Liang;
- Qiang Guan;
- Paul Griffin;
- Xiaolin Wen;
- Yanna Lin;
- Yong Wang;
Research Area(s):
- Human-Machine Collaborative Systems
- Human-Computer Interaction
November 2023
Large-scale Graph Label Propagation on GPUs by
- PhD Candidate YE Chang;
- Yuchen Li;
- Bingsheng He;
- Zhao Li;
- Jianling Sun;
Research Area(s):
- Information Systems & Technology
- Software Engineering
October 2023
Benchmarking Foundation Models with Language-Model-as-an-Examiner by
- Yushi Bai;
- PhD Candidate YING Jiahao;
- Yixin Cao;
- Xin Lv;
- Yuze He;
- Xiaozhi Wang;
- Jifan Yu;
- Kaisheng Zeng;
- Yijia Xiao;
- Haozhe Lyu;
- Jiayin Zhang;
- Juanzi Li;
- Lei Hou;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
October 2023
Multi-Representation Variational Autoencoder via Iterative Latent Attention and Implicit Differentiation by
- PhD Candidate TRAN Nhu Thuat;
- Hady W. LAUW;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
October 2023
ClusterPrompt: Cluster Semantic Enhanced Prompt Learning for New Intent Discovery by
- PhD Candidate LIANG Jinggui;
- Lizi LIAO;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
September 2023
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method by
- PhD Candidate ZHANG Xuan;
- Wei GAO;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
- Machine Learning & Intelligence
September 2023
CMD: Co-analyzed IoT Malware Detection and Forensics via Network and Hardware Domains by
- Ziming ZHAO;
- Zhaoxuan LI;
- PhD Candidate YU Jiongchi;
- Fan ZHANG;
- Xiaofei XIE;
- Haitao XU;
- Binbin CHEN;
Research Area(s):
- Information Systems & Technology
- Software Engineering
- Cybersecurity
September 2023
AdaVis: Adaptive and Explainable Visualization Recommendation for Tabular Data by
- Songheng;
- Haotian LI;
- Huamin QU;
- Yong WANG;
Research Area(s):
- Human-Machine Collaborative Systems
- Human-Computer Interaction
August 2023
Generalization through Diversity: Improving Unsupervised Environment Design by in THE 32nd INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI2023)
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
July 2023
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models by in The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023)
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
July 2023
Learning Deep Time-index Models for Time Series Forecasting by
- PhD Candidate WOO Jiale Gerald;
- Chenghao LIU;
- Doyen SAHOO;
- Akshat KUMAR;
- Prof Steven HOI;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
July 2023
Large-Scale Correlation Analysis of Automated Metrics for Topic Models by in The 61st Annual Meeting of the Association for Computational Linguistics
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
July 2023
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems by
- PhD Candidate CHENG Mingfei;
- Yuan Zhou;
- Assistant Prof XIE Xiaofei;
Research Area(s):
- Information Systems & Technology
- Software Engineering
July 2023
Zone of Proximal Development through Difficulty-Conditioned Generators by in Environment Generation for Generalizable Robots @ Robotics: Science and Systems 2023
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
July 2023
Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects by
- PhD Candidate LOW Siow Meng;
- Associate Prof Akshat KUMAR;
- Scott SANNER;
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
July 2023
Testing Automated Driving Systems by Breaking Many Laws Efficiently by
- Xiaodong Zhang;
- PhD Candidate ZHAO Wei;
- Yang Sun ;
- Jun Sun;
- Yulong Shen;
- Xuewen;
Research Area(s):
- Information Systems & Technology
- Software Engineering
July 2023
A hierarchical optimization approach for dynamic pickup and delivery problem with LIFO constraints by
- Jianhui DU;
- PhD Candidate ZHANG Zhiqin;
- Xu WANG;
- Prof LAU Hoong Chuin;
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
June 2023
YouNICon: YouTube's CommuNIty of Conspiracy Videos by
- PhD Candidate LIAW Shao Yi;
- Fan HUANG;
- Fabricio BENEVENUTO;
- Haewoon KWAK;
- Jisun AN;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
June 2023
gSWORD: GPU-accelerated Sampling for Subgraph Counting by
- PhD Candidate YE Chang;
- Yuchen Li;
- Shixuan Sun;
- Wentian Guo;
Research Area(s):
- Information Systems & Technology
- Software Engineering
June 2023
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency by
- PhD Candidate CHENG Ling;
- Associate Prof ZHU Feida;
- yongwang;
- Ruicheng Liang;
- PhD Candidate LIU Huiwen;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
June 2023
Toward Intention Discovery for Early Malice Detection in Cryptocurrency by
- PhD Candidate CHENG Ling;
- Associate Prof ZHU Feida;
- yongwang;
- Ruicheng Liang;
- PhD Candidate LIU Huiwen;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
June 2023
BinAlign: Alignment Padding Based Compiler Provenance Recovery by
- malihai-2020;
- Yan LIN;
- DongGyun HAN;
- Prof Debin GAO;
Research Area(s):
- Cybersecurity
June 2023
Preference-Aware Delivery Planning for Last-Mile Logistics by in 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2023)
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
June 2023
VENUS: A Geometrical Representation for Quantum State Visualization by
- PhD Candidate RUAN Shaolun;
- Ribo YUAN;
- Qiang GUAN;
- Yanna LIN;
- Ying MAO;
- Weiwen JIANG;
- Zhepeng WANG;
- Wei XU;
- yongwang;
Research Area(s):
- Human-Machine Collaborative Systems
- Human-Computer Interaction
June 2023
CCBERT: Self-Supervised Code Change Representation Learning by
- PhD Candidate ZHOU Xin;
- PhD Graduate XU Bowen;
- DongGyun HAN;
- Zhou YANG;
- Junda HE;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
June 2023
Extracting Class Activation Maps from Non-Discriminative Features as well by in The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
May 2023
LILOC: Enabling Precise 3D Localization in Dynamic Indoor Environments using LiDARs by
- PhD Candidate KANATTA GAMAGE Ramesh Darshana Rathnayake;
- Meeralakshmi RADHAKRISHNAN;
- Inseok HWANG;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
May 2023
GameRTS: A Regression Testing Framework for Video Games by in 2023 IEEE/ACM 45th International Conference on Software Engineering
Research Area(s):
- Information Systems & Technology
- Software Engineering
May 2023
Modularized Zero-shot VQA with Pre-trained Models by in The 61st Annual Meeting of the Association for Computational Linguistics
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
May 2023
Transferable Curricula through Difficulty Conditioned Generators by in 32nd International Joint Conference on Artificial Intelligence
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
April 2023
Wearing Masks Implies Refuting Trump?: Towards Target-specific User Stance Prediction across Events in COVID-19 and US Election 2020 by in 15th ACM Web Science Conference 2023
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
March 2023
Generalization through Diversity: Improving Unsupervised Environment Design by in THE 32nd INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
March 2023
Reinforcement Learning Enhanced PicHunter for Interactive Search by
- PhD Candidate MA Zhixin;
- Jiaxin WU;
- Weixiong LOO;
- Lee Kong Chian Prof NGO Chong Wah;
Research Area(s):
- Human-Machine Collaborative Systems
- Multimedia Systems
February 2023
Lightweight and Non-Invasive User Authentication on Earables by
- Changshuo HU;
- PhD Candidate MA Xiao;
- Assistant Prof MA Dong;
- Ting DANG;
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
February 2023
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation by in ACM Transactions on Information Systems, 02/2023, Volume 41, Issue 3, 1-27
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
January 2023
Avoiding Starvation of Arms in Restless Multi-Armed Bandits by in The 22nd International Conference on Autonomous Agents and Multiagent Systems
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
January 2023
Dual-View Preference Learning for Adaptive Recommendation by in IEEE Transactions on Knowledge and Data Engineering. 01/2023. Early Access. 1-12
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
December 2022
Towards Reinterpreting Neural Topic Models via Composite Activations by in The 2022 Conference on Empirical Methods in Natural Language Processing
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2022
The Impact of Citation Network Embeddedness on Crowdsourced Idea Refinement: The Moderating Role of Idea Breadth and Depth by
- PhD Candidate Vincent MACK Zhi Wei;
- Yimei ZHOU;
- Associate Prof Qian TANG;
Research Area(s):
- Information Systems & Management
November 2022
VLStereoSet: A Study of Stereotypical Bias in Pre-trained Vision-Language Models by
- kkzhou;
- Eason Lai;
- Prof Jing JIANG;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
November 2022
Predictive self-organizing neural networks for in-home detection of Mild Cognitive Impairment by
- PhD Candidate TEH Seng Khoon;
- Iris RAWTAER;
- Lee Kong Chian Prof TAN Ah Hwee;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
October 2022
Answer Summarization for Technical Queries: Benchmark and New Approach by
- PhD Candidate YANG Chengran;
- Bowen XU;
- Ferdian THUNG;
- Yucen SHI;
- PhD Candidate ZHANG Ting;
- ZHOU Yang;
- PhD Candidate ZHOU Xin;
- Jieke Shi;
- PhD Candidate HE Junda;
- DongGyun HAN;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
October 2022
Accurate Generation of Trigger-Action Programs with Domain-Adapted Sequence-to-Sequence Learning by in ICPC '22: Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension
Research Area(s):
- Information Systems & Technology
- Software Engineering
October 2022
On the Effectiveness of Pretrained Models for API Learning by
- Mohammad Abdul Hadi;
- PhD Candidate Imam Nur Bani YUSUF;
- Ferdian THUNG;
- Kien Gia Luong;
- Prof JIANG Lingxiao;
- Fatemeh H. Fard;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
October 2022
SoftSkip: Empowering Multi-Modal Dynamic Pruning for Single-Stage Referring Comprehension by
- PhD Candidate Mudiyanselage Dulanga Kaveesha WEERAKOON;
- Vigneshwaran SUBBARAJU;
- Tuan TRAN;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
October 2022
COSM2IC: Optimizing Real-Time Multi-Modal Instruction Comprehension by
- PhD Candidate Mudiyanselage Dulanga Kaveesha WEERAKOON;
- Vigneshwaran SUBBARAJU;
- Tuan TRAN;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
October 2022
Your Cursor Reveals: On Analyzing Workers' Browsing Behavior and Annotation Quality In Crowdsourcing Tasks by in IEEE ACCESS, 10/2022, EARLY ACCESS
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
October 2022
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing by
- PhD Candidate RUAN Shaolun;
- yongwang;
- Weiwen JIANG;
- Ying MAO;
- Qiang GUAN;
Research Area(s):
- Human-Machine Collaborative Systems
- Human-Computer Interaction
October 2022
Automatic Pull Request Title Generation by
- PhD Candidate ZHANG Ting;
- Ivana Clairine IRSAN;
- Ferdian THUNG;
- Donggyun HAN;
- OUB Chair Prof David LO;
- Prof JIANG Lingxiao;
Research Area(s):
- Information Systems & Technology
- Software Engineering
October 2022
LawBreaker: An Approach for Specifying Traffic Laws and Fuzzing Autonomous Vehicles by
- Yang Sun I cposkitt;
- Prof SUN Jun;
- Yuqi Chen;
- Zijiang Yang;
Research Area(s):
- Information Systems & Technology
- Software Engineering
October 2022
Locally Varying Distance Transform for Unsupervised Visual Anomaly Detection by
- Wen-yan LIN;
- PhD Candidate LIU Zhonghang;
- Siying LIU;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
October 2022
Interactive Video Corpus Moment Retrieval using Reinforcement Learning by in Proceedings of the 30th ACM International Conference on Multimedia
Research Area(s):
- Human-Machine Collaborative Systems
- Multimedia Systems
September 2022
Meta-Complementing the Semantics of Short Texts in Neural Topic Models by in Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
September 2022
Personalized Recommendation for Balancing Content Generation and Content Usage on Two-Sided Entertainment Platforms by
- PhD Candidate ZHANG Hao;
- Guo Zhiling (Former Faculty);
- Mingzheng WANG;
Research Area(s):
- Information Systems & Management
September 2022
Risk-Aware Procurement Optimization in a Global Technology Supply Chain by
- jdchase;
- PhD Graduate YANG Jingfeng;
- Prof LAU Hoong Chuin;
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
September 2022
Constrained Multiagent Reinforcement Learning for Large Agent Population by
- PhD Graduate LING Jiajing;
- Arambam James SINGH;
- NGUYEN Duc Thien;
- Associate Prof Akshat KUMAR;
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
September 2022
Curiosity-Driven and Victim-Aware Adversarial Policies by
- Chen GONG;
- PhD Candidate YANG Zhou;
- Yunpeng BAI;
- PhD Candidate SHI Jieke;
- Arunesh SINHA;
- Bowen XU;
- OUB Chair Prof David LO;
- Xinwen HOU;
- Guoliang FAN;
Research Area(s):
- Information Systems & Technology
- Software Engineering
September 2022
Adaptive Fairnesss Improvement based on Causality Analysis by in The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)
Research Area(s):
- Information Systems & Technology
- Software Engineering
September 2022
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation by in ACM Transactions on Information Systems
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
September 2022
FastKLEE: Faster Symbolic Execution via Reducing Redundant Bound Checking of Type-Safe Pointers by
- PhD Candidate TU Haoxin;
- Prof JIANG Lingxiao;
- Prof DING Xuhua;
- He Jiang;
Research Area(s):
- Information Systems & Technology
- Software Engineering
August 2022
Aligning Dual Disentangled User Representations from Ratings and Textual Content by in 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
August 2022
Predictive Accuracy of Digital Biomarker Technologies for Detection of Mild Cognitive Impairment and Pre-Frailty Amongst Older Adults: A Systematic Review and Meta-Analysis by
- PhD Candidate TEH Seng Khoon;
- Iris RAWTAER;
- Hwee Pink TAN;
Research Area(s):
- Information Systems & Technology
- Software Engineering
July 2022
Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset by in 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
July 2022
A Data-driven Approach for Scheduling Bus Services Subject To Demand Constraints by
- PhD Candidate BRAHMANAGE Janaka Chathuranga Thilakarathna;
- Assistant Prof Thivya KANDAPPU;
- Prof ZHENG Baihua;
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
July 2022
Compressing Pre-trained Models of Code into 3 MB by
- PhD Candidate SHI Jieke;
- PhD Candidate YANG Zhou;
- Bowen XU;
- PhD Graduate KANG Hong Jin;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
July 2022
COSM2IC: Optimizing Real-Time Multi-Modal Instruction Comprehension by
- PhD Candidate Mudiyanselage Dulanga Kaveesha WEERAKOON;
- Vigneshwaran SUBBARAJU;
- Tuan TRAN;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
June 2022
RemGen: Remanufacturing A Random Program Generator for Compiler Testing by
- haoxintu.2020;
- He Jiang;
- Xiaochen Li;
- Zhilei Ren;
- Zhide Zhou;
- Prof JIANG Lingxiao;
Research Area(s):
- Information Systems & Technology
- Software Engineering
June 2022
Multimodal Zero-Shot Hateful Meme Detection by
- PhD Candidate ZHU Jiawen;
- Roy Ka-Wei LEE;
- Wen Haw CHONG;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
June 2022
XAI4FL: Enhancing Spectrum-Based Fault Localization with Explainable Artificial Intelligence by
- PhD Candidate Ratnadira WIDYASARI;
- Gede Artha Azriadi PRANA;
- Stefanus A. HARYONO;
- Yuan TIAN;
- Hafil Noer ZACHIARY;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
June 2022
Real world projects, real faults: evaluating spectrum based fault localization techniques on Python projects by
- PhD Candidate Ratnadira WIDYASARI;
- Gede Artha Azriadi PRANA;
- Stefanus Agus HARYONO;
- Shaowei WANG;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
June 2022
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation by
- PhD Candidate CHEN Zhaozheng;
- Tan WANG;
- Xiongwei WU;
- Xian-Sheng HUA;
- Hanwang ZHANG;
- Associate Prof SUN Qianru;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
June 2022
Reinforcement Learning Approach to Solve Dynamic Bi-Objective Police Patrol Dispatching and Rescheduling Problem by
- PhD Graduate JOE Waldy;
- Prof LAU Hoong Chuin;
- Jonathan PAN;
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
May 2022
Dynamic Topic Models for Temporal Document Networks by in The Thirty-ninth International Conference on Machine Learning (ICML 2022)
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
May 2022
Variational Graph Author Topic Modeling by in 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
May 2022
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits by in 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022)
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
May 2022
Reflecting on Experiences for Response Generation by
- Chenchen YE;
- Assistant Prof LIAO Lizi;
- suyu-liu-2022;
- Tat-Seng CHUA;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
May 2022
Benchmarking Library Recognition in Tweets by
- PhD Candidate ZHANG Ting;
- Divya Prabha CHANDRASEKARAN;
- Ferdian THUNG;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
May 2022
AutoPRTitle: A Tool for Automatic Pull Request Title Generation by
- Ivana Clairine IRSAN;
- PhD Candidate ZHANG Ting;
- Ferdian THUNG;
- OUB Chair Prof David LO;
- Prof JIANG Lingxiao;
Research Area(s):
- Information Systems & Technology
- Software Engineering
April 2022
Detecting C++ Compiler Front-end Bugs via Grammar Mutation and Differential Testing by
- PhD Candidate TU Haoxin;
- He Jiang;
- Zhide Zhou;
- Yixuan Tang;
- Zhilei Ren;
- Lei Qiao;
- Prof JIANG Lingxiao;
Research Area(s):
- Information Systems & Technology
- Software Engineering
April 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning by
- PhD Graduate PHAM Hong Quang;
- Chenghao Liu;
- Prof Steven HOI;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
April 2022
TREND: TempoRal Event and Node Dynamics for Graph Representation Learning by in the ACM Web Conference 2022
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
March 2022
Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? by
- PhD Candidate YANG Chengran;
- Bowen Xu;
- Junaed Younus Khan;
- Gias Uddin;
- Donggyun Han;
- PhD Candidate YANG Zhou;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
March 2022
Learning User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes by in 27th ACM Annual Conference on Intelligent User Interfaces
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
March 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting by
- Gerald WOO Jia Le;
- Chenghao LIU;
- Doyen SAHOO;
- Associate Prof Akshat KUMAR;
- Prof Steven HOI;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
March 2022
On the Influence of Biases in Bug Localization: Evaluation and Benchmark by
- PhD Candidate Ratnadira WIDYASARI;
- Stefanus Agus HARYONO;
- Ferdian THUNG;
- Jieke SHI;
- Constance TAN;
- Fiona WEE;
- Jack PHAN;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
March 2022
Simple or Complex? Together for a More Accurate Just-In-Time Defect Predictor by
- PhD Candidate ZHOU Xin;
- DongGyun HAN;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
March 2022
Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? by
- PhD Candidate YANG Chengran;
- Bowen Xu;
- Junaed Younus Khan;
- Gias Uddin;
- Donggyun Han;
- PhD Candidate YANG Zhou;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
March 2022
Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks by
- PhD Candidate YANG Zhou;
- Jieke Shi;
- Muhammad Hilmi Asyrofi;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
March 2022
Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? by
- Jieke Shi;
- PhD Candidate YANG Zhou;
- Junda He;
- Bowen Xu;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
February 2022
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models by
- PhD Candidate CHEN Changyu;
- Avinandan BOSE;
- Associate Prof CHENG Shih-Fen;
- Arunesh SINHA (Former Faculty);
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
February 2022
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers by
- Yihuai Lan;
- PhD Candidate WANG Lei;
- Qiyuan Zhang;
- Yunshi Lan;
- Associate Prof DAI Bing Tian;
- Yan Wang;
- Dongxiang Zhang;
- Prof LIM Ee Peng;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2021
Channel Integration Services in Online Healthcare Communities by in 42th International Conference on Information Systems, ICIS 2021
Research Area(s):
- Information Systems & Technology
- Software Engineering
December 2021
DualNet: Continual Learning, Fast and Slow by
- PhD Graduate PHAM Hong Quang;
- Chenghao LIU;
- Prof Steven HOI;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
December 2021
Sample-efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs by
- PhD Candidate LOW Siow Meng;
- Associate Prof Akshat KUMAR;
- Scott SANNER;
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
November 2021
Probabilistic Verification of Neural Networks Against Group Fairness by
- PhD Candidate SUN Bing;
- Prof SUN Jun;
- Ting Dai;
- Lijun Zhang;
Research Area(s):
- Information Systems & Technology
- Software Engineering
November 2021
Learning Knowledge-Enriched Company Embeddings for Investment Management by in 2nd ACM International Conference on AI in Finance
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
November 2021
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset by
- Qiyuan ZHANG;
- PhD Candidate WANG Lei;
- PhD Graduate YU Sicheng;
- Shuohang WANG;
- Yang WANG;
- Prof Jing JIANG;
- Prof LIM Ee Peng;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
October 2021
The Efficacy of Collaborative Authoring of Video Scene Descriptions by
- PhD Candidate Rosiana NATALIE;
- Jolene LOH;
- Huei Suen TAN;
- Joshua Tseng;
- Ian Luke Yi-Ren CHAN;
- Ebrima H JARJUE;
- Hernisa Kacorri;
- Assistant Prof Kotaro HARA;
Research Area(s):
- Human-Machine Collaborative Systems
- Human-Computer Interaction
October 2021
Uncovering Patterns in Reviewers’ Feedback to Scene Description Authors by
- PhD Candidate Rosiana NATALIE;
- Jolene LOH;
- Huei Suen TAN;
- Joshua Tseng;
- Hernisa Kacorri;
- Assistant Prof Kotaro HARA;
Research Area(s):
- Human-Machine Collaborative Systems
- Human-Computer Interaction
October 2021
Geometry-Entangled Visual Semantic Transformer for Image Captioning by
- PhD Candidate CHENG Ling;
- Wei Wei;
- Associate Prof ZHU Feida;
- Yong Liu;
- Chunyan Miao;
Research Area(s):
- Human-Machine Collaborative Systems
- Multimedia Systems
September 2021
Learning and Evaluating Chinese Idiom Embeddings by in The 2021 International Conference on Recent Advances in Natural Language Processing
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
September 2021
Does BERT Understand Idioms? A Probing-Based Empirical Study of BERT Encodings of Idioms by in The 2021 International Conference on Recent Advances in Natural Language Processing
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
August 2021
Learning and Exploiting Shaped Reward Models for Large Scale Multiagent RL by in 31st International Conference on Automated Planning and Scheduling (ICAPS 2021)
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
August 2021
Integrating Knowledge Compilation with Reinforcement Learning for Routes by
- PhD Graduate LING Jiajing;
- Kushagra Chandak;
- Associate Prof Akshat KUMAR;
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
August 2021
COSY: COunterfactual SYntax for Cross-Lingual Understanding by
- PhD Graduate YU Sicheng;
- Hao ZHANG;
- Yulei Niu;
- Associate Prof SUN Qianru;
- Prof Jing JIANG;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
July 2021
Prediction of Sleep Quality in Live-Alone Diabetic Seniors Using Unobtrusive In-Home Sensors by
- PhD Candidate Barry NUQOBA;
- Hwee-Pink TAN (Former Faculty);
Research Area(s):
- Information Systems & Technology
- Software Engineering
July 2021
Disentangling Hate in Online Memes by
- PhD Graduate LEE Ka Wei Roy;
- PhD Candidate CAO Rui;
- Ziqing Fan;
- Prof Jing JIANG;
- Wen-Haw Chong;
Research Area(s):
- Artificial Intelligence & Data Science
- Decision Making & Optimisation
- Human-Machine Collaborative Systems
- Multimedia Systems
July 2021
Topic Modeling for Multi-Aspect Listwise Comparisons by in 30th ACM International Conference on Information and Knowledge Management (CIKM 2021)
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
July 2021
Assessing Generalizability of CodeBERT by
- PhD Candidate ZHOU Xin;
- DongGyun Han;
- OUB Chair Prof David LO;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
- Software & Cyber-Physical Systems
July 2021
Exploring Cross-Modality Utilization in Recommender Systems by
- PhD Graduate TRUONG Quoc Tuan;
- Aghiles Salah;
- Thanh-Binh Tran;
- Jingyao Guo;
- Associate Prof Hady W. LAUW;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
July 2021
Variational Learning from Implicit Bandit Feedback by in Machine Learning, Vol. 110, No. 8, pp. 2085-2105
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
July 2021
Meta-Inductive Node Classification across Graphs by
- PhD Graduate WEN Zhihao;
- Assistant Prof FANG Yuan;
- Zemin Liu;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
July 2021
Post2Vec: Learning Distributed Representations of Stack Overflow Posts by
- PhD Graduate XU Bowen;
- PhD Graduate HOANG Van Duc Thong;
- PhD Graduate Abhishek SHARMA;
- cryang;
- OUB Chair Prof David LO;
Research Area(s):
- Information Systems & Technology
- Software Engineering
July 2021
VibranSee: Enabling Simultaneous Visible Light Communication and Sensing by in 18th International Conference on Sensing, Communication, and Networking (SECON 2021)
Research Area(s):
- Human-Machine Collaborative Systems
- Pervasive Sensing & Systems
June 2021
SGUARD: Towards Fixing Vulnerable Smart Contracts Automatically by
- PhD Candidate NGUYEN Duy Tai;
- Long H. Pham;
- Prof SUN Jun;
Research Area(s):
- Information Systems & Technology
- Cybersecurity
- Software & Cyber-Physical Systems
June 2021
Semi-Supervised Semantic Visualization for Networked Documents by in 2021 The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
June 2021
Representation Learning on Multi-Layered Heterogeneous Network by in 2021 The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
June 2021
Coordinating Multi-party Vehicle Routing with Location Congestion via Iterative Best Response by in Multi-Agent Systems: 18th European Conference, EUMAS 2021
Research Area(s):
- Intelligent Systems & Optimization
June 2021
Hidden State Approximation in Recurrent Neural Networks Using Continuous Particle Filtering by in Data Science Meets Optimization workshop of The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021@DSO Workshop)
Research Area(s):
- Intelligent Systems & Optimization
June 2021
On the Usability (In)Security of In-App Browsing Interfaces in Mobile Apps by
- PhD Candidate ZHANG Zicheng;
- PhD Graduate WU Daoyuan;
- Lixiang Li;
- Prof Debin GAO;
Research Area(s):
- Cybersecurity
May 2021
Approximate Difference Rewards for Scalable Multiagent Reinforcement Learning by in 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
Research Area(s):
- Intelligent Systems & Optimization
May 2021
Meta-Inductive Node Classification across Graphs by
- PhD Graduate WEN Zhihao;
- Assistant Prof FANG Yuan;
- Zemin Liu;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
May 2021
Contextual Transformation Networks for Online Continual Learning by
- PhD Graduate PHAM Hong Quang;
- Chenghao Liu;
- PhD Graduate Doyen SAHOO;
- Prof Steven HOI;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
May 2021
GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection by
- PhD Candidate YE Chang;
- Associate Prof LI Yuchen;
- Bingsheng He;
- ZHAO Li;
- Jianling Sun;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
May 2021
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection by
- Md Rabiul Awal;
- PhD Candidate CAO Rui;
- PhD Graduate LEE Ka Wei Roy;
- Sandra Mitrovic;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
May 2021
Integrating Knowledge Compilation with Reinforcement Learning for Routes by
- PhD Graduate LING Jiajing;
- Kushagra Chandak;
- Associate Prof Akshat KUMAR;
Research Area(s):
- Intelligent Systems & Optimization
May 2021
On Decentralization of Bitcoin: An Asset Perspective by
- PhD Candidate CHENG Ling;
- Associate Prof ZHU Feida;
- PhD Candidate LIU Huiwen;
- Chunyan Miao;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
May 2021
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks by in The Conference on Uncertainty in Artificial Intelligence (UAI 2021)
Research Area(s):
- Intelligent Systems & Optimization
April 2021
Learning Network-Based Multi-Modal Mobile User Interface Embeddings by in 26th ACM Annual Conference on Intelligent User Interfaces (IUI 2021)
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
April 2021
IoTBox: Sandbox Mining to Prevent Interaction Threats in IoT Systems by
- PhD Graduate KANG Hong Jin;
- OUB Chair Prof David LO;
- Sheng Qin Sim;
Research Area(s):
- Software & Cyber-Physical Systems
April 2021
Adaptive Operating Hours for Improved Performance of Taxi Fleets by in 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021)
Research Area(s):
- Intelligent Systems & Optimization
April 2021
Learning Network-Based Multi-Modal Mobile User Interface Embeddings by in 26th International Conference on Intelligent User Interfaces (IUI) April 2021
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
March 2021
Explainable Recommendation with Comparative Constraints on Product Aspects by in The 14th ACM International Conference on Web Search and Data Mining (WSDM 2021)
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
March 2021
A BERT-based two-stage model for Chinese Chengyu recommendation by in ACM Transactions on Asian and Low-Resource Language Information Processing (TBD)
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
March 2021
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues by
- PhD Graduate LE Hung;
- Nancy F. Chen;
- Prof Steven HOI;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
March 2021
Bilateral Variational Autoencoder for Collaborative Filtering by
- PhD Graduate TRUONG Quoc Tuan;
- Aghiles Salah;
- Associate Prof Hady W. LAUW;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
March 2021
Sentiment-Oriented Metric Learning for Text-to-Image Retrieval by in 43rd BCS-IRSG European Conference on Information Retrieval
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
March 2021
Adaptive & Simultaneous Pervasive Visible Light Communication and Sensing by in The 19th International Conference on Pervasive Computing and Communications (PerCom 2021)
Research Area(s):
- Software & Cyber-Physical Systems
March 2021
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection by
- Md Rabiul Awal;
- PhD Candidate CAO Rui;
- PhD Graduate LEE Ka Wei Roy;
- Sandra Mitrovic;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
March 2021
Bilateral Variational Autoencoder for Collaborative Filtering by
- PhD Graduate TRUONG Quoc Tuan;
- Aghiles Salah;
- Associate Prof Hady W. LAUW;
Research Area(s):
- Artificial Intelligence & Data Science
- Machine Learning & Intelligence
March 2021
Sentiment-Oriented Metric Learning for Text-to-Image Retrieval by in 43rd BCS-IRSG European Conference on Information Retrieval (ECIR 2021)
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
- Machine Learning & Intelligence
February 2021
Differential Training: A Generic Framework to Reduce Label Noises for Android Malware Detection by
- Jiayun XU;
- LI Yingjiu (Former Faculty);
- AXA Chair Prof Robert H. DENG;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
February 2021
Exploring Cross-Modality Utilization in Recommender Systems by
- PhD Graduate TRUONG Quoc Tuan;
- Aghiles Salah;
- Thanh-Binh Tran;
- Jingyao Guo;
- Associate Prof Hady W. LAUW;
Research Area(s):
- Artificial Intelligence & Data Science
- Data Management & Mining
January 2021
Adversarial Specification Mining by in ACM Transactions on Software Engineering and Methodology (TOSEM) (01/2021) 1-40
Research Area(s):
- Software & Cyber-Physical Systems
January 2021
Demonstrating High-Performance Simultaneous Visible Light Communication and Sensing by in 13th International Conference on COMmunication Systems & NETworkS (COMSNETS 2021)
Research Area(s):
- Software & Cyber-Physical Systems
December 2020
A BERT-based Dual Embedding Model for Chinese Idiom Prediction by in The 28th International Conference on Computational Linguistics (COLING'2020)
Research Area(s):
- Data Science & Engineering
December 2020
HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection by in The 28th International Conference on Computational Linguistics (COLING'2020)
Research Area(s):
- Data Science & Engineering
December 2020
sk-teh-2020 | Iris RAWTAER | ahtan by in Proceedings of the Forty-First International Conference on Information Systems, India 2020
Research Area(s):
- Information Systems & Management
December 2020
Co-Embedding Attributed Networks with External Knowledge by in 2020 IEEE International Conference on Big Data (IEEE BigData 2020)
Research Area(s):
- Data Science & Engineering
December 2020
Prediction of Nocturia in Live Alone Elderly Using Unobtrusive In-Home Sensors by
- PhD Candidate Barry NUQOBA;
- Hwee-Pink TAN (Former Faculty);
Research Area(s):
- Software & Cyber-Physical Systems
December 2020
Action-Centric Relation Transformer Network for Video Question Answering by
- Jipeng ZHANG;
- Jie Shao;
- PhD Candidate CAO Rui;
- Lianli Gao;
- Xing Xu;
- Heng Tao Shen;
Research Area(s):
- Data Science & Engineering
November 2020
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues by
- PhD Graduate LE Hung;
- PhD Graduate Doyen SAHOO;
- Chenghao Liu;
- Nancy Chen;
- Prof Steven HOI;
Research Area(s):
- Data Science & Engineering
November 2020
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues by
- PhD Graduate LE Hung;
- PhD Graduate Doyen SAHOO;
- Nancy Chen;
- Prof Steven HOI;
Research Area(s):
- Data Science & Engineering
November 2020
BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies by
- PhD Candidate Ratnadira WIDYASARI;
- Sheng Qin SIM;
- Camellia LOK;
- Haodi QI;
- Jack PHAN;
- Qijin TAY;
- Constance TAN;
- Fiona WEE;
- Jodie Ethelda TAN;
- Yuheng YIEH;
- Brian GOH;
- Ferdian THUNG;
- PhD Graduate KANG Hong Jin;
- Thong HOANG;
- OUB Chair Prof David LO;
- Associate Prof OUH Eng Lieh;
Research Area(s):
- Data Science & Engineering
November 2020
Re-examining the Role of Schema Linking in Text-to-SQL by
- Wenqiang LEI;
- Weixin WANG;
- PhD Candidate MA Zhixin;
- Tian GAN;
- Wei LU;
- Min-Yen KAN;
- Tat-Seng CHUA;
Research Area(s):
- Data Science & Engineering
November 2020
SQL-like interpretable interactive video search by
- Jiaxin Wu;
- Phuong Anh Nguyen;
- PhD Candidate MA Zhixin;
- Lee Kong Chian Prof NGO Chong Wah;
Research Area(s):
- Data Science & Engineering
October 2020
Deep Reinforcement Learning Approach to Solve Dynamic Vehicle Routing Problem with Stochastic Customers by in 30th International Conference on Automated Planning and Scheduling (ICAPS 2020)
Research Area(s):
- Intelligent Systems & Optimization
October 2020
Reinforcement Learning for Zone Based Multiagent Pathfinding by
- PhD Graduate LING Jiajing;
- Tarun Gupta;
- Associate Prof Akshat KUMAR;
Research Area(s):
- Intelligent Systems & Optimization
July 2020
A Novel Dynamic Analysis Infrastructure to Instrument Untrusted Execution Flow Across User-Kernel Spaces by in 42nd IEEE Symposium of Security and Privacy (IEEE S&P 2021).
Research Area(s):
- Cybersecurity
July 2020
Correlated Learning for Aggregation Systems by in The Conference on Uncertainty in Artificial Intelligence (UAI)
Research Area(s):
- Intelligent Systems & Optimization
July 2020
Interactive Entity Linking Using Entity-Word Representations by in 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)
Research Area(s):
- Data Science & Engineering
July 2020
Synthesizing Aspect-Driven Recommendation Explanations from Reviews by in The 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020)
Research Area(s):
- Data Science & Engineering
June 2020
Video-Grounded Dialogues through Pretrained Language Models with Spatio-Temporal Reasoning by in The 58th annual meeting of the Association for Computational Linguistics (ACL)
Research Area(s):
- Data Science & Engineering
May 2020
Competitive Ratios for Online Multi-capacity Ridesharing by
- PhD Graduate Meghna LOWALEKAR;
- Prof Pradeep Reddy VARAKANTHAM;
- Patrick JAILLET;
Research Area(s):
- Intelligent Systems & Optimization
May 2020
DeepStyle: User Style Embedding for Authorship Attribution of Short Texts by
- Zhiqiang HU;
- PhD Graduate LEE Ka Wei Roy;
- PhD Candidate WANG Lei;
- Prof LIM Ee Peng;
- Bo DAI;
Research Area(s):
- Data Science & Engineering
May 2020
Hierarchical Multiagent Reinforcement Learning for Maritime Traffic Management by in International Conference on Autonomous Agents and Multi-Agent Systems 2020(AAMAS-20)
Research Area(s):
- Intelligent Systems & Optimization
May 2020
sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts by
- PhD Candidate NGUYEN Duy Tai;
- Long H. PHAM;
- Prof SUN Jun;
- Yun LIN;
- Quang Tran MINH;
Research Area(s):
- Software & Cyber-Physical Systems
April 2020
Graph-to-Tree Learning for Solving Math Word Problems by
- Jipeng ZHANG;
- PhD Candidate WANG Lei;
- PhD Graduate LEE Ka Wei Roy;
- Yi BIN;
- Yan WANG;
- Jie SHAO;
- Prof LIM Ee Peng;
Research Area(s):
- Data Science & Engineering
April 2020
Non-autoregressive Dialog State Tracking by
- PhD Graduate LE Hung;
- Richard SOCHER;
- Prof Steven HOI;
Research Area(s):
- Data Science & Engineering
April 2020
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem by
- Jipeng ZHANG;
- PhD Graduate LEE Ka Wei Roy;
- Prof LIM Ee Peng;
- Wei QIN;
- PhD Candidate WANG Lei;
- Jie SHAO;
- Associate Prof SUN Qianru;
Research Area(s):
- Data Science & Engineering
March 2020
Feature agglomeration networks for single stage face detection by
- Jialiang ZHANG;
- PhD Graduate WU Xiongwei;
- Prof Steven HOI;
- Jianke ZHU;
Research Area(s):
- Data Science & Engineering
March 2020
Hierarchical Multimodal Attention for End-to-End Audio-Visual Scene-Aware Dialogue Response Generation by
- PhD Graduate LE Hung;
- PhD Graduate Doyen SAHOO;
- Nancy F. CHEN;
- Prof Steven HOI;
Research Area(s):
- Data Science & Engineering
March 2020
Single-shot Bidirectional Pyramid Networks for High-quality Object Detection by
- PhD Graduate WU Xiongwei;
- PhD Graduate Doyen SAHOO;
- Daoxin ZHANG;
- Jianke ZHU;
- Prof Steven HOI;
Research Area(s):
- Data Science & Engineering
February 2020
Five Challenges in Cloud-enabled Intelligence and Control by
- Tarek ABDELZAHER;
- Yifan HAO;
- Kasthuri JAYARAJAH;
- Lee Kong Chian Prof Archan MISRA;
- Per SKARIN;
- Shuochao YAO;
- mweerakoon.2019;
- Karl-Erik Årzén;
Research Area(s):
- Software & Cyber-Physical Systems
February 2020
Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge by
- PhD Graduate LE Hung;
- Nancy F. CHEN;
Research Area(s):
- Data Science & Engineering
February 2020
Topic Modeling on Document Networks with Adjacent-Encoder by in 34th AAAI Conference on Artificial Intelligence (AAAI 2020)
Research Area(s):
- Data Science & Engineering
January 2020
Recent Advances in Deep Learning for Object Detection by in Neurocomputing, 01/2020, In press, doi:10.1016/j.neucom.2020.01.085
Research Area(s):
- Data Science & Engineering
December 2019
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing by
- Vinoj JAYASUNDARA;
- PhD Graduate BUI Duy Quoc Nghi;
- Prof JIANG Lingxiao;
- OUB Chair Prof David LO;
Research Area(s):
- Data Science & Engineering
November 2019
Assessing the Generalizability of code2vec Token Embeddings by
- PhD Graduate KANG Hong Jin;
- Tegawende F- BISSYANDE;
- OUB Chair Prof David LO;
Research Area(s):
- Software & Cyber-Physical Systems
November 2019
AutoFocus: Interpreting Attention-based Neural Networks by Code Perturbation by
- PhD Graduate BUI Duy Quoc Nghi;
- Yijun YU;
- Prof JIANG Lingxiao;
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
November 2019
SmrtFridge: IoT-based, user interaction-driven food item & quantity sensing by
- PhD Graduate AMIT;
- Lee Kong Chian Prof Archan MISRA;
- Vengateswaran SUBRAMANIAM ;
- Youngki LEE;
Research Area(s):
- Software & Cyber-Physical Systems
August 2019
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging by
- PhD Graduate Doyen SAHOO;
- Hao WANG;
- Shu KE;
- PhD Graduate WU Xiongwei;
- PhD Graduate LE Hung;
- Palakorn ACHANANUPARP;
- Prof LIM Ee Peng;
- Prof Steven HOI;
Research Area(s):
- Data Science & Engineering
August 2019
Learning Multiple Maps from Conditional Ordinal Triplets by in International Joint Conference on Artificial Intelligence (IJCAI'19)
Research Area(s):
- Data Science & Engineering
August 2019
SAR: Learning Cross-Language API Mappings with Little Knowledge by
- PhD Graduate BUI Duy Quoc Nghi;
- Yijun YU;
- Prof JIANG Lingxiao;
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
July 2019
Control-Flow Carrying Code by
- PhD Graduate LIN Yan;
- Xiaoyao CHENG;
- Prof Debin GAO;
Research Area(s):
- Cybersecurity
July 2019
Does Monetary Incentive Increase Microfinance Lending? An Empirical Study of Matching Gift Programs on Kiva by in Pacific Asia Conference on Information Systems (PACIS 2019)
Research Area(s):
- Information Systems & Management
July 2019
Entropy Based Independent Learning in Anonymous Multi-Agent Settings by in International Conference on Automated Planning and Scheduling (ICAPS 2019)
Research Area(s):
- Intelligent Systems & Optimization
July 2019
Resilient Collaborative Intelligence for Adversarial IoT Environments by
- PhD Candidate Mudiyanselage Dulanga Kaveesha WEERAKOON;
- PhD Graduate Kasthuri JAYARAJAH;
- Randy TANDRIANSYAH;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Software & Cyber-Physical Systems
July 2019
Semantic Patches for Java Program Transformation by
- PhD Graduate KANG Hong Jin;
- ferdianthung;
- Julia Lawall;
- Gilles Muller;
- Prof JIANG Lingxiao;
- OUB Chair Prof David LO;
Research Area(s):
- Software & Cyber-Physical Systems
July 2019
Towards Understanding Android System Vulnerabilities: Techniques and Insights by
- PhD Graduate WU Daoyuan;
- Prof Debin GAO;
- Eric K- T- CHENG;
- Yichen CAO;
- Jintao JIANG;
- AXA Chair Prof Robert H. DENG;
Research Area(s):
- Cybersecurity
June 2019
An Empirical Study of Mobile Network Behavior and Application Performance in the Wild by
- Shiwei ZHANG;
- Weichao LI;
- PhD Graduate WU Daoyuan;
- Bo JIN;
- Rocky K- C- CHANG;
- Debin GAO;
- Yi WANG;
- Ricky K- P- MOK;
Research Area(s):
- Software & Cyber-Physical Systems
June 2019
BuSCOPE : Fusing Individual & Aggregated Mobility Behavior for "Live" Smart City Services by
- Lakmal MEEGAHAPOLA;
- Assistant Prof Thivya KANDAPPU;
- PhD Graduate Kasthuri JAYARAJAH;
- Leman AKOGLU;
- Shili XIANG;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Software & Cyber-Physical Systems
June 2019
Demo: Passive Detection of Perceived Stress Using Location-driven Sensing Technologies at Scale by
- PhD Graduate Nur Camellia Binte ZAKARIA;
- Youngki LEE;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
June 2019
Does Monetary Incentive Increase Microfinance Lending? An Empirical Study of Matching Gift Programs on Kiva by
- PhD Graduate GAO Zhiyuan;
- Guo Zhiling (Former Faculty);
- Associate Prof Qian TANG;
Research Area(s):
- Information Systems & Management
June 2019
DynOpVm: VM-based Software Obfuscation with Dynamic Opcode Mapping by
- Xiaoyang CHENG;
- PhD Graduate LIN Yan;
- Prof Debin GAO;
Research Area(s):
- Cybersecurity
June 2019
Exploratory Analysis of Individuals’ Mobility Patterns and Experienced Conflicts in Workgroups by
- PhD Graduate Nur Camellia Binte ZAKARIA;
- Kenneth GOH;
- Prof Rajesh Krishna BALAN;
- Youngki LEE;
Research Area(s):
- Software & Cyber-Physical Systems
May 2019
Towards Zero Knowledge Learning for Cross Language API Mappings by in 41st International Conference on Software Engineering (ICSE 2019)
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
April 2019
DeepReview: Automatic Code Review using Deep Multi-Instance Learning by
- Heng-Yi Li;
- Shu-ting Shi;
- PhD Graduate THUNG Ferdian;
- Xuan Huo;
- PhD Graduate XU Bowen;
- Ming Li;
- OUB Chair Prof David LO;
Research Area(s):
- Data Science & Engineering
April 2019
Dependable Machine Intelligence at the Tactical Edge by
- Lee Kong Chian Prof Archan MISRA;
- PhD Graduate Kasthuri JAYARAJAH;
- Dulanga WEERAKOON;
- Randy TANDRIANSYAH;
- Shuochao YAO;
- Tarek ABDELZAHER;
Research Area(s):
- Software & Cyber-Physical Systems
March 2019
Design and Assessment of Myoelectric Games for Prosthesis Training of Upper Limb Amputees by
- PhD Graduate Meeralakshmi RADHAKRISHNAN;
- Asim SMAILAGIC;
- Brian FRENCH;
- Daniel SIEWIOREK;
- Rajesh BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
March 2019
The Challenge of Collaborative IoT-Based Inferencing in Adversarial Settings by
- Lee Kong Chian Prof Archan MISRA;
- PhD Candidate Mudiyanselage Dulanga Kaveesha WEERAKOON;
- PhD Graduate Kasthuri JAYARAJAH;
Research Area(s):
- Software & Cyber-Physical Systems
March 2019
WiWear:Wearable Sensing via Directional WiFi Energy Harvesting by in 17th IEEE International Conference on Pervasive Computing and Communications (PERCOM 2019)
Research Area(s):
- Software & Cyber-Physical Systems
February 2019
Bilateral Dependency Neural Networks for Cross-Language Algorithm Classification by in 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2019)
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
February 2019
Understanding Open Ports in Android Applications: Discovery, Diagnosis, and Security Assessment by
- PhD Graduate WU Daoyuan;
- Prof Debin GAO;
- Rocky K- C- CHANG;
- En HE;
- Eric K- T- CHENG;
- AXA Chair Prof Robert H. DENG;
Research Area(s):
- Cybersecurity
February 2019
ZAC: A Zone pAth Construction Approach for Effective Real-Time Ride Sharing by
- PhD Graduate Meghna LOWALEKAR;
- Prof Pradeep Reddy VARAKANTHAM;
- Patrick JAILLET;
Research Area(s):
- Intelligent Systems & Optimization
January 2019
End-to-End Multimodal Dialog Systems with Hierarchical Multimodal Attention on Video Features by
- PhD Graduate LE Hung;
- Prof Steven HOI;
- Doyen SAHOO;
- Nancy F- CHEN;
Research Area(s):
- Data Science & Engineering
January 2019
Externalities in Charitable Crowdfunding by in 52nd Hawaii International Conference on system Sciences
Research Area(s):
- Cybersecurity
January 2019
Multiagent Decision Making For Maritime Traffic Management by
- PhD Graduate Arambam James SINGH;
- Duc Thien Nguyen;
- Associate Prof Akshat KUMAR;
- Prof LAU Hoong Chuin;
Research Area(s):
- Information Systems & Management
January 2019
When Human cognitive modeling meets PINs: User-independent inter-keystroke timing attacks by
- PhD Graduate LIU Ximing;
- LI Yingjiu (Former Faculty);
- AXA Chair Prof Robert H. DENG;
- Bing CHANG;
- Shujun LI;
Research Area(s):
- Cybersecurity
December 2018
On Learning Psycholinguistics Tools for English-based Creole Languages using Social Media Data by in 2018 IEEE International Conference on Big Data
Research Area(s):
- Data Science & Engineering
December 2018
Typing-Proof: Usable, Secure and Low-Cost Two-Factor Authentication Based on Keystroke Timings by
- PhD Graduate LIU Ximing;
- LI Yingjiu (Former Faculty);
- AXA Chair Prof Robert H. DENG;
Research Area(s):
- Cybersecurity
October 2018
Categorizing the Content of GitHub README Files by
- PhD Graduate Gede Artha Azriadi PRANA;
- Christoph TREUDE;
- PhD Graduate THUNG Ferdian;
- Thushari ATAPATTU;
- OUB Chair Prof David LO;
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
October 2018
Exploiting the Interdependency of Mobility and Land Use for Applications in Urban Planning by in The 7th International Workshop on Pervasive Urban Applications (co-located with UbiComp'18).
Research Area(s):
- Software & Cyber-Physical Systems
October 2018
I4S: Capturing Shopper's In-Store Interactions by
- PhD Graduate Sougata SEN;
- Lee Kong Chian Prof Archan MISRA;
- Vigneshwaran SUBBARAJU;
- Karan GROVER;
- PhD Graduate Meeralakshmi RADHAKRISHNAN;
- Prof Rajesh Krishna BALAN;
- Youngki LEE;
Research Area(s):
- Software & Cyber-Physical Systems
October 2018
Multiperspective Graph-Theoretic Similarity Measure by in 27th ACM International Conference on Information and Knowledge Management (CIKM 2018)
Research Area(s):
- Data Science & Engineering
October 2018
Prediction of Relatedness in Stack Overflow: Deep Learning vs. SVM by
- PhD Graduate XU Bowen;
- Amirreza Shirani;
- OUB Chair Prof David LO;
- Mohammad Amin Alipour;
Research Area(s):
- Software & Cyber-Physical Systems
September 2018
Offline vs Online: A Meaningful Categorization of Ties for Retweets by
- Felicia NATALI;
- Associate Prof ZHU Feida;
Research Area(s):
- Data Science & Engineering
September 2018
The Role of Urban Mobility in Retail Business Survival by
- Krittika d'SILVA;
- PhD Graduate Kasthuri JAYARAJAH;
- Anasatasios NOULAS;
- Cecilia MASCOLO;
- Archan MISRA;
Research Area(s):
- Software & Cyber-Physical Systems
August 2018
Embedding WordNet Knowledge for Textual Entailment by in The 27th International Conference on Computational Linguistics (COLING2018)
Research Area(s):
July 2018
Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation by
- Duc-Trong Le;
- Associate Prof Hady W. LAUW;
- Assistant Prof FANG Yuan;
Research Area(s):
- Data Science & Engineering
July 2018
Moved by Conflict: Exploring the Relationship between Experienced Conflict and Individual Mobility Patterns by
- PhD Graduate Nur Camellia Binte ZAKARIA;
- Kenneth GOH;
- Youngki LEE;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Intelligent Systems & Optimization
- Software & Cyber-Physical Systems
July 2018
PACELA A Neural Framework for user visitation in Location-based social networks by in The 26th Conference on User Modeling, Adaptation and Personalization (UMAP 2018)
Research Area(s):
- Data Science & Engineering
June 2018
Causal Nowcasting For Country-pair Payment Flows When Disruptive Events Occur by
- PhD Graduate GAO Zhiyuan;
- Guo Zhiling (Former Faculty);
- Prof Robert KAUFFMAN;
Research Area(s):
- Information Systems & Management
June 2018
D-Pruner: Filter-Based Pruning Method for Deep Convolutional by
- PhD Graduate HUYNH Nguyen Loc;
- Youngki LEE;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
June 2018
Empath-D : VR-based Empathetic App Design for Accessibility by
- Wonjung KIM;
- PhD Graduate CHOO TSU Wei Kenny;
- Youngki LEE;
- Lee Kong Chian Prof Archan MISRA;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
June 2018
Reducing Uncertainty in Charitable Crowdfunding by
- PhD Graduate Deserina SULAEMAN;
- LIN Mei (Former Faculty);
Research Area(s):
- Information Systems & Management
June 2018
Smart Charities? Analyses of IT-enabled Charitable Fundraising by in 22nd Pacific Asia Conference on Information systems (PACIS 2018)
Research Area(s):
- Information Systems & Management
June 2018
Towards Dynamically Monitoring Android Applications on Non-rooted Devices in the Wild by in 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks(WiSec 2018)
Research Area(s):
- Cybersecurity
May 2018
Discovering Hidden Topical Hubs and Authorities in Online Social Networks by
- PhD Graduate LEE Ka Wei Roy;
- Tuan-Anh HOANG;
- Prof LIM Ee Peng;
Research Area(s):
- Data Science & Engineering
May 2018
Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code by in 40th International Conference on Software Engineering (ICSE 2018)
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
May 2018
Online Spatio-Temporal Matching in Stochastic and Dynamic Domains by
- PhD Graduate Meghna LOWALEKAR;
- Prof Pradeep Reddy VARAKANTHAM;
- Patrick JAILLET;
Research Area(s):
- Cybersecurity
May 2018
Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites by in https://websci18.webscience.org/
Research Area(s):
- Data Science & Engineering
May 2018
Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites by in 10th ACM Conference on Web Science (WebSci18)
Research Area(s):
- Data Science & Engineering
April 2018
Causal Nowcasting For Country-Pair Payment Flows When Disruptive Events Occur by
- PhD Graduate GAO Zhiyuan;
- zhilingguo;
- Prof Robert KAUFFMAN;
Research Area(s):
- Intelligent Systems & Optimization
April 2018
DeepRefiner: Multi-layer Android Malware Detection System Applying Deep Neural Networks by
- PhD Graduate XU Ke;
- LI Yingjiu (Former Faculty);
- AXA Chair Prof Robert H. DENG;
- Kai CHEN;
Research Area(s):
- Cybersecurity
April 2018
Towards Dynamically Monitoring Android Applications on Non-rooted Devices in the Wild by in 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec 2018)
Research Area(s):
- Cybersecurity
March 2018
SCLib: A Practical and Lightweight Defense against Component Hijacking in Android Applications by
- PhD Graduate WU Daoyuan;
- Yao CHENG;
- Prof Debin GAO;
- LI Yingjiu (Former Faculty);
- AXA Chair Prof Robert H. DENG;
Research Area(s):
- Cybersecurity
March 2018
Smartwatch-based Early Gesture Detection & Trajectory Tracking for Interactive Gesture-Driven Applications by
- PhD Graduate TRAN Huy Vu;
- Lee Kong Chian Prof Archan MISRA;
- Quentin ROY;
- PhD Graduate CHOO TSU Wei Kenny;
- Youngki LEE;
Research Area(s):
- Software & Cyber-Physical Systems
February 2018
Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks by
- PhD Graduate BUI Duy Quoc Nghi;
- Prof JIANG Lingxiao;
- Yijun YU;
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
February 2018
Exploiting User and Venue Characteristics for Fine-Grained Tweet Geolocation by in ACM Transactions on Information Systems (TOIS), 02/2018, 36, 3
Research Area(s):
- Data Science & Engineering
February 2018
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce by
- PhD Graduate YU Jianfei;
- Minghui Qiu;
- Prof Jing JIANG;
- Jun Huang;
- Shuangyong Song;
- Wei Chu;
- Haiqing Chen;
Research Area(s):
- Data Science & Engineering
February 2018
R^3: Reinforced Ranker-Reader for Open-Domain Question Answering by
- PhD Graduate WANG Shuohang;
- Mo YU;
- Xiaoxiao GUO;
- Zhiguo WANG;
- Tim KLINGER;
- Wei ZHANG;
- Shiyu CHANG;
- Gerald TESAURO;
- Bowen ZHOU;
- Prof Jing JIANG;
Research Area(s):
- Data Science & Engineering
January 2018
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering by
- PhD Graduate WANG Shuohang;
- Mo YU;
- Prof Jing JIANG;
- Wei ZHANG;
- Xiaoxiao GUO;
- Shiyu CHANG;
- Zhiguo WANG;
- Tim KLINGER;
- Gerald TESAURO;
- Murray CAMPBELL;
Research Area(s):
- Data Science & Engineering
January 2018
Smart Monitoring via Participatory BLE Relaying by
- PhD Graduate Meeralakshmi RADHAKRISHNAN;
- PhD Graduate Sougata SEN;
- Lee Kong Chian Prof Archan MISRA;
- Youngki LEE;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
November 2017
Domain-specific cross-language relevant question retrieval by
- PhD Graduate XU Bowen;
- Zhenchang XING;
- Xin XIA;
- OUB Chair Prof David LO;
- Shanping LI;
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
November 2017
Leveraging Auxiliary Tasks for Document-level Cross-Domain Sentiment Classification by in The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)
Research Area(s):
- Data Science & Engineering
November 2017
Modeling Check-In Behavior with Geographical Neighborhood Influence of Venues by in The 13th International Conference on Advanced Data Mining and Applications, (ADMA 2017)
Research Area(s):
- Data Science & Engineering
November 2017
Tweet Geolocation: Leveraging Location, User and Peer Signals by in 26th ACM International Conference on Information and Knowledge Management (CIKM 2017)
Research Area(s):
- Data Science & Engineering
October 2017
AnswerBot: Automated Generation of Answer Summary to Developers' Technical Questions by
- PhD Graduate XU Bowen;
- Zhenchang Xing;
- Xin Xia;
- OUB Chair Prof David LO;
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
October 2017
AudioSense: sound-based shopper behavior analysis system by
- PhD Graduate AMIT;
- Youngki LEE;
Research Area(s):
- Software & Cyber-Physical Systems
October 2017
Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN by in 25th ACM Multimedia Conference (ACMMM 2017)
Research Area(s):
- Data Science & Engineering
September 2017
AudioSense - Sound Based Shopper Behavior Analysis System by
- PhD Graduate AMIT;
- Youngki LEE;
Research Area(s):
- Software & Cyber-Physical Systems
September 2017
GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms by in International Conference on Social Informatics, 2017 (SOCINFO 2017)
Research Area(s):
- Data Science & Engineering
September 2017
GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms by in International Conference on Social Informatics, 2017 (SOCINFO 2017)
Research Area(s):
- Data Science & Engineering
September 2017
Inferring Spread of Readers’ Emotion Affected by Online News by in 9th International Conference on Social Informatics (SocInfo 2017)
Research Area(s):
- Data Science & Engineering
September 2017
Toward Accurate Network Delay Measurement on Android Phones by
- Weichao LI;
- PhD Graduate WU Daoyuan;
- Rocky K. C. CHANG;
- Ricky K. P. MOK;
Research Area(s):
- Software & Cyber-Physical Systems
September 2017
XSearch: A Domain-Specific Cross-Language Relevant Question Retrieval Tool by
- PhD Graduate XU Bowen;
- Zhenchang Xing;
- Xin Xia;
- OUB Chair Prof David LO;
- PhD Graduate LE Dinh Xuan Bach;
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
August 2017
Basket-Sensitive Personalized Item Recommendation by
- PhD Graduate LE Duc Trong;
- Associate Prof Hady W. LAUW;
- Yuan Fang;
Research Area(s):
- Data Science & Engineering
August 2017
Basket-Sensitive Personalized Item Recommendation by
- Duc-Trong Le;
- Associate Prof Hady W. LAUW;
- Yuan Fang;
Research Area(s):
- Data Science & Engineering
August 2017
Proactive and Reactive Coordination of Non-dedicated Agent Teams Operating in Uncertain Environments by in 26th International Joint Conference on Artificial Intelligence - IJCAI 2017
Research Area(s):
- Intelligent Systems & Optimization
August 2017
Semantic Visualization for Short Texts with Word Embeddings by in The 26th International Joint Conference on Artificial Intelligence (IJCAI-17)
Research Area(s):
- Data Science & Engineering
August 2017
The Role of Different Tie Strength in Disseminating Different Topics on a Microblog by
- PhD Graduate NATALI Felicia;
- Kathleen M- CARLEY;
- Associate Prof ZHU Feida;
- Binxuan HUANG;
Research Area(s):
- Data Science & Engineering
July 2017
SafeStack+: Enhanced Dual Stack to Combat Data-Flow Hijacking by in 22nd Australasian Conference on Information Security and Privacy (ACISP 2017)
Research Area(s):
- Cybersecurity
June 2017
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues by in In Proceedings of the International Conference on Automated Planning and Scheduling, ICAPS-17.
Research Area(s):
- Intelligent Systems & Optimization
June 2017
Charitable Fundraising: Gaining Donors’ Trust on Online Platforms by in The 11th China Summer Workshop on Information Management
Research Area(s):
- Information Systems & Management
June 2017
DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications by
- PhD Graduate HUYNH Nguyen Loc;
- Youngki LEE;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
June 2017
Employing Smartwatch for Enhanced Password Authentication by
- Bing Chang;
- PhD Graduate LIU Ximing;
- LI Yingjiu (Former Faculty);
- Pingjian Wang;
- Wen-Tao Zhu;
- Zhan Wang;
Research Area(s):
- Information Systems & Management
June 2017
Establishing Causal Inference for Video on Demand (VoD) Content Consumption in Cable TV Services by in Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), June 2017, Ho Chi Minh City, Vietnam
Research Area(s):
- Information Systems & Management
June 2017
Incentivising the Use of Bike Trailers for Dynamic Repositioning in Bike Sharing Systems by in The 27th International Conference on Automated Planning and Scheduling (ICAPS)
Research Area(s):
- Intelligent Systems & Optimization
June 2017
Measuring The Declared SDK Versions and their Consistency with API calls in Android Apps by
- PhD Graduate WU Daoyuan;
- PhD Graduate LIU Ximing;
- PhD Graduate XU Jiayun;
- OUB Chair Prof David LO;
- Prof Debin GAO;
Research Area(s):
- Cybersecurity
- Software & Cyber-Physical Systems
June 2017
MopEye: Opportunistic Monitoring of Per-app Mobile Network Performance by
- PhD Graduate WU Daoyuan;
- Rocky K- C- CHANG;
- Weichao LI;
- Eric K- T- CHENG;
- Prof Debin GAO;
Research Area(s):
- Cybersecurity
- Software & Cyber-Physical Systems
June 2017
Music Popularity, Diffusion, and Recommendation in Social Networks: A Fusion Analytics Approach by in 25th European Conference on Information Systems (ECIS 2017), Doctoral Consortium.
Research Area(s):
- Data Science & Engineering
- Information Systems & Management
June 2017
Online Repositioning in Bike Sharing Systems by
- PhD Graduate Meghna LOWALEKAR;
- Prof Pradeep Reddy VARAKANTHAM;
- PhD Graduate GHOSH Supriyo;
- Sanjay Dominik JENA;
- Patrick JAILLET;
Research Area(s):
- Intelligent Systems & Optimization
June 2017
Online Repositioning in BikeSharing Systems by
- PhD Graduate Meghna LOWALEKAR;
- Prof Pradeep Reddy VARAKANTHAM;
- PhD Graduate GHOSH Supriyo;
- Sanjay Dominik JENA;
- Patrick JAILLET;
Research Area(s):
- Intelligent Systems & Optimization
June 2017
Understanding Music Track Popularity in a Social Network. by in 25th European Conference on Information Systems (ECIS 2017), full paper.
Research Area(s):
- Data Science & Engineering
- Information Systems & Management
May 2017
An Exploratory Study of Functionality and Learning Resources of Web APIs on ProgrammableWeb by in 21st International Conference on Evaluation and Assessment in Software Engineering (EASE 2017)
Research Area(s):
- Software & Cyber-Physical Systems
May 2017
Exploiting Contextual Information for Fine-Grained Tweet Geolocation by in The 11th International Conference of Web and Social Media (ICWSM-17)
Research Area(s):
- Data Science & Engineering
May 2017
Household informedness and policy analytics for the collection and recycling of household hazardous waste in California by
- PhD Graduate KUSTINI;
- Prof Robert KAUFFMAN;
- Gregory S- DAWSON;
Research Area(s):
- Information Systems & Management
May 2017
Real-time Prediction of Length of Stay Using Passive Wi-Fi Sensing by
- PhD Graduate LE Truc Viet;
- Baoyang SONG;
- Laura WYNTER;
Research Area(s):
- Data Science & Engineering
- Intelligent Systems & Optimization
April 2017
Collective Entity Linking in Tweets over Space and Time by
- PhD Graduate CHONG Wen Haw;
- Prof LIM Ee Peng;
- William COHEN;
Research Area(s):
- Data Science & Engineering
April 2017
Combining Machine-based and Econometrics Methods for Policy Analytics Insights. by
- PhD Graduate NGUYEN Thanh Son;
- PhD Graduate LE Van Minh Tuan;
- Associate Prof Hady W. LAUW;
- Panayiotis Tsaparas;
Research Area(s):
- Information Systems & Management
April 2017
Comparative Relation Generative Model by in IEEE Transactions on Knowledge and Data Engineering, 04/2017, Volume: 29, Issue: 4, 771-783.
Research Area(s):
- Data Science & Engineering
April 2017
Discovering anomalous events from urban informatics data by
- PhD Graduate Kasthuri JAYARAJAH;
- Vigneshwaran Subbaraju;
- Dulanga Weerakoon;
- Lee Kong Chian Prof Archan MISRA;
- La Thanh TAM;
- Noel ATHAIDE;
Research Area(s):
- Software & Cyber-Physical Systems
April 2017
On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites by
- PhD Graduate LEE Ka Wei Roy;
- Tuan-Anh HOANG;
- Prof LIM Ee Peng;
Research Area(s):
- Data Science & Engineering
April 2017
On the Effectiveness of Virtualization Based Memory Isolation on Multicore Platforms by in 2nd IEEE European Symposium on Security and Privacy
Research Area(s):
- Cybersecurity
March 2017
Location Matters: Geospatial Policy Analytics over Time for Household Hazardous Waste Collection in California by
- PhD Graduate KUSTINI;
- Prof Robert KAUFFMAN;
- Associate Prof KAM Tin Seong;
- Gregory S- DAWSON;
Research Area(s):
- Data Science & Engineering
- Information Systems & Management
February 2017
A Compare-Aggregate Model for Matching Text Sequences by in 5th International Conference on Learning Representations
Research Area(s):
- Information Systems & Management
February 2017
Attribute-Based Secure Messaging in the Public Cloud by
- MPhil (IS) Alumni POH Zhi Yuan;
- Hui CUI;
- AXA Chair Prof Robert H. DENG;
- LI Yingjiu (Former Faculty);
Research Area(s):
- Cybersecurity
February 2017
Collective Multiagent Sequential Decision Making Under Uncertainty by in AAAI Conference on Artificial Intelligence (AAAI), 2017
Research Area(s):
- Intelligent Systems & Optimization
February 2017
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems by
- PhD Graduate GHOSH Supriyo;
- Prof Pradeep Reddy VARAKANTHAM;
- Yossiri ADULYASAK;
- Patrick JAILLET;
Research Area(s):
- Intelligent Systems & Optimization
February 2017
Harnessing Twitter to Support Serendipitous Learning of Developers by
- PhD Graduate Abhishek SHARMA;
- PhD Graduate TIAN Yuan;
- PhD Graduate Agus SULISTYA;
- OUB Chair Prof David LO;
- Aiko-Yamashita@hioa-no;
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
February 2017
Machine Comprehension Using Match-LSTM and Answer Pointer by in 5th International Conference on Learning Representations
Research Area(s):
- Information Systems & Management
February 2017
Micro-review synthesis for multi-entity summarization by
- PhD Graduate NGUYEN Thanh Son;
- Associate Prof Hady W. LAUW;
- Panayiotis Tsaparas;
Research Area(s):
- Data Science & Engineering
February 2017
Online Repositioning in Bike Sharing Systems by
- PhD Graduate Meghna LOWALEKAR;
- Prof Pradeep Reddy VARAKANTHAM;
- PhD Graduate GHOSH Supriyo;
- Sanjay Dominik JENA;
- Patrick JAILLET;
Research Area(s):
- Intelligent Systems & Optimization
January 2017
They All Seem Good, But Which One Fits Me? Reducing Fit Uncertainty for Digital Entertainment Goods by in 39th Pacific Telecommunications Council Annual Conference (PTC’17)
Research Area(s):
- Information Systems & Management
December 2016
An agent-based approach to human migration movement by
- PhD Graduate LIN Junjie Larry;
- Kathleen M- CARLEY;
- Associate Prof CHENG Shih-Fen;
Research Area(s):
- Intelligent Systems & Optimization
December 2016
Demystifying and Puncturing the Inflated Delay in Smartphone-based WiFi Network Measurement by
- Weichao LI;
- PhD Graduate WU Daoyuan;
- Rocky K- C- CHANG;
- Ricky K- P- MOK;
Research Area(s):
- Software & Cyber-Physical Systems
December 2016
On the Effectiveness of Code-reuse-based Android Application Obfuscation by
- PhD Graduate TANG Xiaoxiao;
- Yu Liang;
- Xinjie Ma;
- PhD Graduate LIN Yan;
- Prof Debin GAO;
Research Area(s):
- Cybersecurity
November 2016
Spiteful, One-Off, and Kind: Predicting Customer Feedback Behavior on Twitter by in Social Informatics - 8th International Conference, SocInfo 2016
Research Area(s):
- Data Science & Engineering
October 2016
Attractiveness versus Competition: Towards an Unified Model for User Visitation. by in The 25th ACM International Conference on Information and Knowledge Management (CIKM 2016)
Research Area(s):
- Data Science & Engineering
October 2016
Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction by
- PhD Graduate LE Truc Viet;
- Richard OENTARYO;
- Siyuan LIU;
- Prof LAU Hoong Chuin;
Research Area(s):
- Data Science & Engineering
- Intelligent Systems & Optimization
October 2016
Plackett-Luce Regression Mixture Model for Heterogeneous Rankings by in 25th ACM International on Conference on Information and Knowledge Management
Research Area(s):
- Data Science & Engineering
September 2016
Control Flow Integrity Enforcement with Dynamic Code Optimization by
- PhD Graduate LIN Yan;
- PhD Graduate TANG Xiaoxiao;
- Prof Debin GAO;
- Jianming Fu;
Research Area(s):
- Cybersecurity
September 2016
Modeling sequential preferences with dynamic user and context factors by
- PhD Graduate LE Duc Trong;
- Yuan Fang;
- Associate Prof Hady W. LAUW;
Research Area(s):
- Data Science & Engineering
August 2016
A Reinforcement Learning Framework for Trajectory Prediction under Uncertainty and Budget Constraint by
- PhD Graduate LE Truc Viet;
- Siyuan Liu;
- Prof LAU Hoong Chuin;
Research Area(s):
- Intelligent Systems & Optimization
August 2016
Policy Analytics, Household Informedness and the Collection of Household Hazardous Waste by
- PhD Graduate KUSTINI;
- Prof Robert KAUFFMAN;
- Gregory S- DAWSON;
Research Area(s):
- Information Systems & Management
July 2016
Can Instagram Posts Help Characterize Urban Micro-Events? by in 19th International Conference on Information Fusion (FUSION 2016)
Research Area(s):
- Data Science & Engineering
July 2016
Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems by
- PhD Graduate GHOSH Supriyo;
- Prof Pradeep Reddy VARAKANTHAM;
- Michael TRICK;
Research Area(s):
- Intelligent Systems & Optimization
July 2016
Scalable Greedy Algorithms for Task / Resource Constrained Multi-Agent Stochastic Planning by
- PhD Graduate AGRAWAL Pritee;
- Prof Pradeep Reddy VARAKANTHAM;
- William Yeoh;
Research Area(s):
- Intelligent Systems & Optimization
July 2016
Word Clouds with Latent Variable Analysis for Visual Comparison of Documents by in 25th International Joint Conference on Artificial Intelligence (IJCAI 2016)
Research Area(s):
- Data Science & Engineering
June 2016
DEMO: Wearable Application to Manage Problem Behavior in Children with Neurodevelopmental Disorders by
- PhD Graduate Nur Camellia Binte ZAKARIA;
- Richard DAVIS;
Research Area(s):
- Software & Cyber-Physical Systems
June 2016
Friendship Maintenance and Prediction in Multiple Social Networks by in 27th ACM Conference on Hypertext and Social Media
Research Area(s):
- Data Science & Engineering
June 2016
Fusing WiFi and Video Sensing for Accurate Group Detection in Indoor Spaces by
- PhD Graduate Kasthuri JAYARAJAH;
- Zaman LANTRA;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Software & Cyber-Physical Systems
June 2016
ICCDetector: ICC-Based Malware Detection on Android by
- PhD Graduate XU Ke;
- LI Yingjiu (Former Faculty);
- AXA Chair Prof Robert H. DENG;
Research Area(s):
- Cybersecurity
June 2016
Learning Natural Language Inference with LSTM by in The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics
Research Area(s):
- Data Science & Engineering
June 2016
LiveLabs: Building In-Situ Mobile Sensing & Behavioural Experimentation TestBeds by
- PhD Graduate Kasthuri JAYARAJAH;
- Prof Rajesh Krishna BALAN;
- PhD Graduate Meeralakshmi RADHAKRISHNAN;
- Lee Kong Chian Prof Archan MISRA;
- Youngki LEE;
Research Area(s):
- Software & Cyber-Physical Systems
June 2016
Seeking Independent Management of Problem Behavior: A Proof-of-Concept Study with Children and their Teachers by
- PhD Graduate Nur Camellia Binte ZAKARIA;
- Richard DAVIS;
- Zachary WALKER;
Research Area(s):
- Software & Cyber-Physical Systems
June 2016
Strategic Planning for Setting up Base Stations in Emergency Medical Systems by in 26th International Conference on Automated Planning and Scheduling (ICAPS 2016)
Research Area(s):
- Intelligent Systems & Optimization
May 2016
Demo: Sound Localization Using Smartphone by
- PhD Graduate AMIT;
- Youngki LEE;
Research Area(s):
- Software & Cyber-Physical Systems
May 2016
Efficient Verifiable Computation of Linear and Quadratic Functions over Encrypted Data by
- nhtran-2013;
- AXA Chair Prof Robert H. DENG;
- Prof PANG Hwee Hwa;
Research Area(s):
- Cybersecurity
May 2016
Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization by in SIAM International Conference on Data Mining (SDM 2016)
Research Area(s):
- Data Science & Engineering
May 2016
Graph-Aided Directed Testing of Android Applications for Checking Runtime Privacy Behaviours by
- MPhil (IS) Alumni CHAN Joo Keng Joseph;
- Prof JIANG Lingxiao;
- TAN Kiat Wee;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Cybersecurity
- Software & Cyber-Physical Systems
May 2016
Leveraging Automated Privacy Checking For Design of Mobile Privacy Protection Mechanisms by
- MPhil (IS) Alumni CHAN Joo Keng Joseph;
- Prof JIANG Lingxiao;
- Kiat Wee TAN;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Cybersecurity
- Software & Cyber-Physical Systems
May 2016
On Unravelling Opinions of Issue Specific-Silent Users in Social Media by
- PhD Graduate GONG Wei;
- Prof LIM Ee Peng;
- Associate Prof ZHU Feida;
- Pei Hua CHER;
Research Area(s):
- Data Science & Engineering
May 2016
Online Sparse Passive Aggressive Learning with Kernels by
- PhD Graduate LU Jing;
- Peilin Zhao;
- Prof Steven HOI;
Research Area(s):
- Data Science & Engineering
- Intelligent Systems & Optimization
May 2016
Reinforcement Learning Framework for Modeling Spatial Sequential Decisions under Uncertainty by
- PhD Graduate LE Truc Viet;
- Siyuan LIU;
- Prof LAU Hoong Chuin;
Research Area(s):
- Intelligent Systems & Optimization
May 2016
Robust Influence Maximization by in International Conference on Agents and Multi-Agent Systems, AAMAS-2016.
Research Area(s):
- Intelligent Systems & Optimization
May 2016
Small Scale Deployment of Seat Occupancy Detectors by
- nhhuy-2014;
- Gihan Hettiarachchi;
- Youngki LEE;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
May 2016
Temporal Kernel Descriptors for Learning with Time-sensitive Patterns by
- Doyen SAHOO;
- PhD Graduate Abhishek SHARMA;
- Prof Steven HOI;
- Peilin ZHAO;
Research Area(s):
- Data Science & Engineering
- Intelligent Systems & Optimization
April 2016
Large Scale Online Kernel Learning by
- PhD Graduate LU Jing;
- Prof Steven HOI;
- Jialei Wang;
- Peilin Zhao;
- Zhi-yong Liu;
Research Area(s):
- Data Science & Engineering
- Intelligent Systems & Optimization
April 2016
Ontology-aided feature correlation for multi-modal urban sensing by
- Lee Kong Chian Prof Archan MISRA;
- Zaman LANTRA;
- PhD Graduate Kasthuri JAYARAJAH;
Research Area(s):
- Data Science & Engineering
April 2016
Semantic Visualization with Neighborhood Graph Regularization by in Journal of Artificial Intelligence Research, Date of Publication 04/2016, Volume 55, Pages 1091-1133
Research Area(s):
- Data Science & Engineering
April 2016
What Makes a Music Track Popular in Online Social Networks? by
- PhD Graduate REN Jing;
- Jialie SHEN;
- Prof Robert KAUFFMAN;
Research Area(s):
- Data Science & Engineering
March 2016
Did You Take a Break Today?: Detecting Playing Foosball Using Your Smartwatch by
- PhD Graduate Sougata SEN;
- Kiran RACHURI;
- Abhishek MUKHERJI;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Software & Cyber-Physical Systems
March 2016
IRIS: Tapping Wearable Sensing to Capture In-Store Retail Insights on Shoppers by
- PhD Graduate Meeralakshmi RADHAKRISHNAN;
- Sharanya ESWARAN;
- Lee Kong Chian Prof Archan MISRA;
- Deepthi CHANDER;
- Koustuv DASGUPTA;
Research Area(s):
- Software & Cyber-Physical Systems
March 2016
MAGI: Enabling multi-device gestural applications by
- PhD Graduate TRAN Huy Vu;
- PhD Graduate CHOO TSU Wei Kenny;
- Youngki LEE;
- Richard DAVIS;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Software & Cyber-Physical Systems
March 2016
Online Passive-Aggressive Active learning by
- PhD Graduate LU Jing;
- Peilin Zhao;
- Prof Steven HOI;
Research Area(s):
- Data Science & Engineering
- Intelligent Systems & Optimization
February 2016
Online Spatio-Temporal Matching in Stochastic and Dynamic Domains by
- PhD Graduate Meghna LOWALEKAR;
- Prof Pradeep Reddy VARAKANTHAM;
- Patrick Jaillet;
Research Area(s):
- Intelligent Systems & Optimization
January 2016
A Comparison of Fundamental Network Formation Principles between Offline and Online Friends on Twitter by in Proceedings of 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland
Research Area(s):
- Data Science & Engineering
January 2016
A Study on Singapore Haze by
- Associate Prof DAI Bing Tian;
- PhD Graduate Kasthuri JAYARAJAH;
- Prof LIM Ee Peng;
- Lee Kong Chian Prof Archan MISRA;
- Shriguru NAYAK;
Research Area(s):
- Data Science & Engineering
January 2016
Demo of MAMBA: A Graph-Aided Directed Tester for Android Applications by
- MPhil (IS) Alumni CHAN Joo Keng Joseph;
- Prof JIANG Lingxiao;
- TAN Kiat Wee;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Cybersecurity
- Software & Cyber-Physical Systems
January 2016
Experience Me! The Impact of Content Sampling Strategies on the Marketing of Digital Entertainment Goods by in 49th Hawaii International Conference on System Sciences (HICSS’16)
Research Area(s):
- Information Systems & Management
January 2016
Investigating the Influence of Offline Friendship on Twitter Networking Behaviors. by
- KIM Youngsoo (Former Faculty);
- PhD Graduate NATALI Felicia;
- Associate Prof ZHU Feida;
- Prof LIM Ee Peng;
Research Area(s):
- Data Science & Engineering
January 2016
IoT+Small Data: Transforming In-Store Shopping Analytics & Services by
- PhD Graduate Meeralakshmi RADHAKRISHNAN;
- PhD Graduate Sougata SEN;
- Vigneshwaran SUBBARAJU;
- Lee Kong Chian Prof Archan MISRA;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
January 2016
IoT+Small Data: Transforming In-Store Shopping Analytics & Services by
- PhD Graduate Meeralakshmi RADHAKRISHNAN;
- PhD Graduate Sougata SEN;
- Vigneshwaran SUBBARAJU;
- Lee Kong Chian Prof Archan MISRA;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
January 2016
Pervasive Physical Analytics using Multi-Modal Sensing by in Graduate Forum - Eighth International Conference on COMmunication Systems and NETworkS COMSNETS 2016
Research Area(s):
- Software & Cyber-Physical Systems
January 2016
Pervasive physical analytics using multi-modal sensing by in 2016 8th International Conference on Communication Systems and Networks (COMSNETS)
Research Area(s):
- Software & Cyber-Physical Systems
January 2016
Pervasive Physical Analytics using Multi-Modal Sensing by in IEEE COMSNETS Graduate Student Forum 2016
Research Area(s):
- Software & Cyber-Physical Systems
January 2016
Privacy-Preserving and Verifiable Data Aggregation by
- nhtran-2013;
- Prof PANG Hwee Hwa;
- AXA Chair Prof Robert H. DENG;
Research Area(s):
- Cybersecurity
December 2015
"On Neighborhood Effects in Location-based Social Networks" by in WI-IAT 2015
Research Area(s):
- Data Science & Engineering
December 2015
Building Crowd Movement Model Using Sample-Based Mobility Survey by in 2015 Winter Simulation Conference (WSC 2015)
Research Area(s):
- Intelligent Systems & Optimization
December 2015
MopEye: Monitoring Per-app Network Performance with Zero Measurement Traffic by
- PhD Graduate WU Daoyuan;
- Weichao LI;
- Rocky CHANG;
- Prof Debin GAO;
Research Area(s):
- Cybersecurity
- Software & Cyber-Physical Systems
November 2015
Modelling Cascades Over Time in Microblogs. by
- PhD Graduate XIE Wei;
- Associate Prof ZHU Feida;
- Siyuan LIU;
- Ke WANG;
Research Area(s):
- Data Science & Engineering
November 2015
Not All Trips are Equal: Analyzing Foursquare Check-ins of Trips and City Visitors by in ACM CONFERENCE ON ONLINE SOCIAL NETWORKS (COSN'15)
Research Area(s):
- Data Science & Engineering
November 2015
On Effective Location-Aware Music Recommendation by
- PhD Graduate CHENG Zhiyong;
- Jialie Shen;
Research Area(s):
- Data Science & Engineering
November 2015
On very large scale test collection for landmark image search benchmarking by
- PhD Graduate CHENG Zhiyong;
- Jialie Shen;
Research Area(s):
- Data Science & Engineering
November 2015
Real-time Detection Of Seat Occupancy & Hogging by
- nhhuy-2014;
- Nakul GULATI;
- Youngki LEE;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
November 2015
Stack Layout Randomization with Minimal Rewriting of Android Binaries by
- Yu LIANG;
- Xinjie MA;
- PhD Graduate WU Daoyuan;
- PhD Graduate TANG Xiaoxiao;
- Prof Debin GAO;
- Guojun PENG;
- Chunfu JIA;
- Huanguo ZHANG;
Research Area(s):
- Cybersecurity
October 2015
Smartphones and BLE Services: Empirical Insights by
- PhD Graduate Meeralakshmi RADHAKRISHNAN;
- Lee Kong Chian Prof Archan MISRA;
- Prof Rajesh Krishna BALAN;
- Youngki LEE;
Research Area(s):
- Software & Cyber-Physical Systems
October 2015
Social Signal Processing for Real-time Situational Understanding: a Vision and Approach by
- PhD Graduate Kasthuri JAYARAJAH;
- Shuochao YAO;
- Raghava MUTHARAJU;
- Lee Kong Chian Prof Archan MISRA;
- Geeth DE MEL;
- Julie SKIPPER;
- Tarek ABDELZAHER;
- Michael KOLODNY;
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
September 2015
Candy crushing your sleep by
- PhD Graduate Kasthuri JAYARAJAH;
- PhD Graduate Meeralakshmi RADHAKRISHNAN;
- Prof Steven HOI;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Software & Cyber-Physical Systems
September 2015
Did You Expect Your Users to Say This? Distilling Unexpected Micro-reviews for Venue Owners by in 26th ACM Conference on Hypertext and Social Media (HT 2015)
Research Area(s):
- Data Science & Engineering
September 2015
Need accurate user behaviour? Pay attention to groups! by
- PhD Graduate Kasthuri JAYARAJAH;
- Youngki LEE;
- Lee Kong Chian Prof Archan MISRA;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
September 2015
What’s Hot in Software Engineering Twitter Space? by in 2015 IEEE 31st International Conference on Software Maintenance and Evolution (ICSME)
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
August 2015
Event Detection: Exploiting Socio-Physical Interactions in Physical Spaces by in 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Research Area(s):
- Software & Cyber-Physical Systems
August 2015
Latent Factors Meet Homophily in Diffusion Modelling by in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015)
Research Area(s):
- Data Science & Engineering
August 2015
VenueMusic: A Venue-Aware Music Recommender System by
- PhD Graduate CHENG Zhiyong;
- Jialie SHEN;
Research Area(s):
- Data Science & Engineering
July 2015
A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features by in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015)
Research Area(s):
- Data Science & Engineering
July 2015
Probabilistic Inference Based Message-Passing For Resource Constrained DCOPs by in 24th International Joint Conference on Artificial Intelligence (IJCAI-2015)
Research Area(s):
- Intelligent Systems & Optimization
July 2015
Towards city-scale mobile crowdsourcing: Task recommendations under trajectory uncertainties by
- PhD Graduate CHEN Cen;
- Associate Prof CHENG Shih-Fen;
- Prof LAU Hoong Chuin;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Intelligent Systems & Optimization
June 2015
Designing Bus Transit Services for Routine Crowd Situations at Large Event Venues by in 6th International Conference on Computational Logistics (ICCL’ 2015) “Coordination for Real-Time Logistics”
Research Area(s):
- Intelligent Systems & Optimization
June 2015
Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems by
- PhD Graduate GHOSH Supriyo;
- Prof Pradeep Reddy VARAKANTHAM;
- Yossiri ADULYASAK;
- Patrick JAILLET;
Research Area(s):
- Intelligent Systems & Optimization
May 2015
A Quantitative Analysis of Decision Process in Social Groups Using Human Trajectories by
- PhD Graduate LE Truc Viet;
- Siyuan LIU;
- Prof LAU Hoong Chuin;
- Ramayya KRISHNAN;
Research Area(s):
- Intelligent Systems & Optimization
May 2015
Characterizing Silent Users in Social Media Communities by in International AAAI Conference on Web and Social Media (ICWSM 2015)
Research Area(s):
- Data Science & Engineering
May 2015
GameOn: p2p Gaming On Public Transport by
- Nairan Zhang;
- Youngki LEE;
- PhD Graduate Meeralakshmi RADHAKRISHNAN;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
May 2015
Modeling User Arguments, Interactions, and Attributes for Stance Prediction in Online Debate Forums. by
- PhD Graduate QIU Minghui;
- Yanchuan Sim;
- Noah A- Smith;
- Prof Jing JIANG;
Research Area(s):
- Data Science & Engineering
May 2015
Modeling User Interest and Community Interest Microblogging: An Integrated Approach by in The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Research Area(s):
- Data Science & Engineering
May 2015
Multi-agent task assignment for mobile crowdsourcing under trajectory uncertainties by
- PhD Graduate CHEN Cen;
- Associate Prof CHENG Shih-Fen;
- Prof LAU Hoong Chuin;
- Lee Kong Chian Prof Archan MISRA;
Research Area(s):
- Intelligent Systems & Optimization
May 2015
Near-Optimal Decentralized Power Supply Restoration in Smart Grids by in In Proceedings of the Joint Conference of Autonomous Agents and Multi-Agent Systems(AAMAS-2015)
Research Area(s):
- Intelligent Systems & Optimization
May 2015
Predicting Bundles of Spatial Locations from Learning Revealed Preference Data by
- PhD Graduate LE Truc Viet;
- Siyuan LIU;
- Prof LAU Hoong Chuin;
- Ramayya KRISHNAN;
Research Area(s):
- Intelligent Systems & Optimization
May 2015
RCLinker: Automated Linking of Issue Reports and Commits Leveraging Rich Contextual Information by
- PhD Graduate LE Bui Tien Duy;
- Mario Linares-Vásquez;
- OUB Chair Prof David LO;
- Denys Poshyvanyk;
Research Area(s):
- Software & Cyber-Physical Systems
April 2015
Mining Business Competitiveness from User Visitation Data by in 2015 International Social Computing, Behavioral-Cultural Modeling and Prediction Conference (SBP15)
Research Area(s):
- Data Science & Engineering
April 2015
NIRMAL: Automatic Identification of Software Relevant Tweets Leveraging Language Model by in "IEEE SANER'15 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering "
Research Area(s):
- Data Science & Engineering
- Software & Cyber-Physical Systems
April 2015
On Robust Image Spam Filtering via Comprehensive Visual Modeling by
- Jialie SHEN;
- AXA Chair Prof Robert H. DENG;
- PhD Graduate CHENG Zhiyong;
- Liqiang NIE;
- Shuicheng YAN;
Research Area(s):
- Data Science & Engineering
March 2015
Active Semi-Supervised Approach for Checking App Behavior Against Its Description by
- PhD Graduate MA Siqi;
- PhD Graduate WANG Shaowei;
- OUB Chair Prof David LO;
- AXA Chair Prof Robert H. DENG;
- Cong SUN;
Research Area(s):
- Software & Cyber-Physical Systems
March 2015
Beyond mere following: Mention network, a better alternative for researching user interaction and behavior by
- PhD Graduate LUU Minh Duc;
- Andrew THOMAS;
Research Area(s):
- Data Science & Engineering
March 2015
Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion by in 37th European Conference on IR Research (ECIR 2015)
Research Area(s):
- Data Science & Engineering
March 2015
Opportunities and Challenges in multi-modal sensing for regular lifestyle tracking by in IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops 2015),
Research Area(s):
- Software & Cyber-Physical Systems
March 2015
Prediction of Venues in Foursquare using Flipped Topic Models by in 37th European Conference on Information Retrieval
Research Area(s):
- Data Science & Engineering
March 2015
Using Infrastructure-provided Context Filters for Efficient Fine-grained Activity Sensing by
- Vigneshwaran SUBBARAJU;
- PhD Graduate Sougata SEN;
- Lee Kong Chian Prof Archan MISRA;
- Satyadip CHAKRABORTY;
- Prof Rajesh Krishna BALAN;
Research Area(s):
- Software & Cyber-Physical Systems
February 2015
Beyond Support and Confidence: Exploring Interestingness Measures for Rule-Based Specification Mining by in 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015)
Research Area(s):
- Software & Cyber-Physical Systems
February 2015
Biometric Authentication on iPhone and Android: Usability, Perceptions, and Influences on Adoption by
- Chandrasekhar Bhagavatula;
- Blase Ur;
- Kevin Iacovino;
- PhD Graduate SU Mon Kywe;
- Lorrie Faith Cranor;
- Marios Savvides;
Research Area(s):
- Cybersecurity
