Hoi Leong Lee — accepted AI-conference papers

2026

Group Cognition Learning: Making Everything Better Through Controlled Two-Stage Agents Collaboration

Chunlei Meng, Pengbin Feng, Rong Fu, Hoi Leong Lee, Xiaojing Du, Yuying Li +4

ICML 2026poster

Centralized multimodal learning commonly compresses language, acoustic, and visual signals into a single fused representation for prediction. While effective, this paradigm suffers from two limitations: modality dominance, where optimization gravitates towards the path of least resistance, ignoring …

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2026

SPR-RAFT: Parameter-Efficient Regression-Aware Fine-Tuning for Biomedical LLM Regression

Yuanlin Yang, Chenhui Li, Xuhao Guo, ANQI ZHANG, Hoi Leong Lee, Haodong Liu

ICML 2026poster

Biomedical regression tasks require predicting continuous targets from heterogeneous and unstructured evidence. While Large Language Models (LLMs) provide a robust interface for reasoning over mixed modalities, they are inherently limited by their discrete tokenization and cross-entropy objectives, …

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