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
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
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
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
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 Graduate 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
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
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
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 Graduate 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 Graduate 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 Graduate 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
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
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
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
February 2021
Differential Training: A Generic
Framework to Reduce Label Noises for
Android Malware Detection by
- Jiayun XU;
- LI Yingjiu (Former Faculty);
- Prof Robert H. DENG;
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 Graduate 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
- PhD Graduate GAO Zhiyuan;
- Guo Zhiling (Former Faculty);
- Associate Prof Qian TANG;
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;
- 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;
- 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);
- Prof Robert H. DENG;
- Bing CHANG;
- Shujun LI;
Research Area(s):
- Cybersecurity
