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Overview
Centres, Labs & Initiatives
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Title
Large Vision-Language Models and Their Adaptation in Remote-Sensing Domains
by
Associate Professor SUN Qianru
Large Vision-Language Models and Their Adaptation in Remote-Sensing Domains
Locating People in Unknown Environments with No Infrastructure Support or Knowledge
by
Professor Rajesh Krishna BALAN
Locating People in Unknown Environments with No Infrastructure Support or Knowledge
Make Revocation Cheaper: Hardware-Based Revocable Attribute-Based Encryption
by
Associate Professor YANG Guomin
Make Revocation Cheaper: Hardware-Based Revocable Attribute-Based Encryption
MtdScout: Complementing the Identification of Insecure Methods in Android Apps via Source-to-Bytecode Signature Generation and Tree-based Layered Search
by
Professor Debin GAO
MtdScout: Complementing the Identification of Insecure Methods in Android Apps via Source-to-Bytecode Signature Generation and Tree-based Layered Search
Multimodal Human-Agent Interaction for Collaboration and Learning
by
Assistant Professor LI Jiannan
Multimodal Human-Agent Interaction for Collaboration and Learning
Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs
by
Associate Professor Wei GAO
Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs
Next Generation AI System
by
Associate Professor WANG Zhaoxia
Next Generation AI System
Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs
by
Assistant Professor WANG Xinrun
Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs
Online Healthcare Platforms: Bridging Online and Offline Care
by
Associate Professor Qian TANG
Online Healthcare Platforms: Bridging Online and Offline Care
Opportunities and Challenges of Large Language Model Powered AI Companions
by
Assistant Professor DENG Yang
Opportunities and Challenges of Large Language Model Powered AI Companions
Predicting Mild Cognitive Impairment through Ambient Sensing and Artificial Intelligence
by
Faculty | Research Posters
Lee Kong Chian Professor TAN Ah Hwee
Predicting Mild Cognitive Impairment through Ambient Sensing and Artificial Intelligence
Preferences and Recommendations from Data & AI
by
Associate Professor Hady W. LAUW
Preferences and Recommendations from Data & AI
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