Ngai-Man Cheung

How Do Medical MLLMs Fail? A Study on Visual Grounding in Medical Images

AIR: Rethinking Image-Text Offset Alignment for Zero-Shot Generative Model Adaptation

CERSA: Cumulative Energy-Retaining Subspace Adaptation for Memory-Efficient Fine-Tuning

Revisiting Model Inversion Evaluation: From Misleading Standards to Reliable Privacy Assessment

Transformers Know When They Don’t Know: Layer-Wise Distance Awareness for OOD Detection

Model Inversion Attacks on Vision-Language Models: Do They Leak What They Learn?

Memory Makes The Poison: Over Memorization Drives Visual Poisoning in LVLMs