Assistant Professor, The University of Hong Kong
3 papers at NeurIPS 2025
We propose a novel DP-driven multimodal learning framework that automatically optimizes the balance between prominent intra-modal representation learning and cross-modal alignment.
MedAgentBoard finds multi-agent useful for some medical tasks, but single LLMs or conventional methods are often better, especially for VQA/EHR. Task-specific AI choice is key.
