1. Selected as an Outstanding Reviewer for ECCV2024.
2. Paper 'Dependence Analysis and Structured Construction for Batched Sparse Code' accepted by IEEE Transactions on Communications (TCOM).
3. Paper 'Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity' accepted for Oral Presentation at NeurIPS2023.
4. MinD-Vis project featured by NBC News, The Telegraph, Reuters, and South China Morning Post.
Research Experience
Reviewer for NeurIPS, CVPR, ECCV, ICLR, ICML, ACM MM, AISTATS, and AAAI.
Education
Ph.D. candidate at the Department of Information Engineering, The Chinese University of Hong Kong, advised by Prof. Raymond Yeung; Bachelor's degree in Electrical Engineering with First Class Honors from The University of Sydney, worked with Prof. Philip Leong on perturbation-based neural network on-chip training.
Background
Research interests: learning and modeling complex systems with AI, particularly in finding the underlying representation of data and solving real-world problems with interdisciplinary knowledge. Field: Information Engineering.
Miscellany
Expected to graduate in late 2024, looking for postdoc positions.