Multiple papers accepted at NeurIPS 2025, including MedChain (Spotlight), SPACE, Large Language Models for Lossless Image Compression, and Unraveling the Mechanics of Learning-Based Demonstration Selection (Oral)
Publications in IEEE TPAMI 2025: Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations, Generalizing to New Dynamical Systems via Frequency Domain Adaptation, The NeRF Signature
ICCV 2025 papers: Test-time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates (Highlight), Temporal Unlearnable Examples
CVPR 2025 paper: Q-PART
ACL 2025 Oral presentation: Unraveling the Mechanics of Learning-Based Demonstration Selection
IEEE TIFS 2025 papers: Image Provenance Analysis via Graph Encoding with Vision Transformer, Towards Extensible Detection of AI-generated Images
IEEE TDSC 2025 paper: MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection
Background
Assistant Professor at the Department of Electrical Engineering, City University of Hong Kong
Broad research interests in AI security, multimedia forensics, and machine learning
Current research focuses on fake news detection, trustworthiness of LLMs, transfer learning, and applications in AI4S, healthcare, and circuit design
Serves as Associate Editor for IEEE Transactions on Information Forensics and Security and IEEE Transactions on Circuits and Systems for Video Technology, and Action Editor for Transactions on Machine Learning Research
Area Chair for conferences including NeurIPS, ICLR, CVPR, and ICASSP