1. Paper 'VSumMamba: Mamba Empowered Efficient Video Summarization with Multi-Scale Spatial-Temporal Modeling' accepted by ACM Multimedia (ACM MM) 2025 (CCF A)
2. Paper 'Sampling Enhanced Contrastive Multi-View Remote Sensing Data Clustering With Long-Short Range Information Mining' accepted by IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) (CCF A)
3. Paper 'Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence' accepted by International Conference on Computer Vision 2025 (ICCV) (CCF A)
4. Paper 'EASEMVC: Efficient Dual Selection Mechanism for Deep Multi-View Clustering' accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025 (CCF A)
5. Paper 'A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal' accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence(IEEE TPAMI) (CCF A)
6. Paper 'SMILENet: Unleashing Extra-Large Capacity Image Steganography via a Synergistic Mosaic Invertible Hiding Network' now available on arXiv
7. Four papers accepted by IEEE International Conference on Multimedia and Expo (ICME) 2025
Research Experience
1. Research Associate @ Imperial College London, Aug. 2019 - Aug. 2021
2. Research Intern @ Tencent AI Lab (Shenzhen, China), advised by Dr. Wenhan Luo, Oct. 2019 - Apr. 2020
3. Visiting Research Scholar @ Hong Kong Polytechnic University, advised by Prof. Kenneth K. M. Lam, Aug. 2018
5. Visiting Research Scholar @ Hong Kong Polytechnic University, advised by Prof. Wan-Chi Siu, Jun. 2016 - Aug. 2016
Education
1. Ph.D. in Computer Vision and Image Processing, Imperial College London, Nov. 2015 - Nov. 2019
2. M.Phil. in Image and Video Processing, University of Hong Kong, Sep. 2013 - Nov. 2015
3. B.Eng. (First Class Honours) in EIE, Hong Kong Polytechnic University, Sep. 2011 - Jun. 2013
4. B.Eng. in Microelectronics, San Yat-Sen University, Sep. 2009 - Jun. 2011
Background
Currently an Associate Professor in the Pattern Recognition and Machine Intelligence (PRMI) group at the Department of Computer Science, National University of Defense Technology (NUDT). Research interests include computer vision, deep learning, object detection and pattern recognition, image and video processing, and medical image analysis.
Miscellany
In spare time, enjoys playing piano, reading, and playing badminton