Resume
Academic Achievements
- Published multiple papers in top-tier international conferences such as ICML, IJCAI, and CVPR, and has been involved in several NTL-related studies, with some of his work highlighted in these conferences.
Research Experience
- Teaching Assistant for COMP5328 Advanced Machine Learning (Semester 2, 2025, The University of Sydney). Research projects include active protection for 3D Gaussian Splatting assets and benchmarking non-transferable learning (NTL) in various scenarios.
Education
- Ph.D. - School of Computer Science, The University of Sydney, supervised by Prof. Tongliang Liu; Master's - School of Electronic Information and Communications, Huazhong University of Science and Technology; Bachelor's - School of Information Engineering, Wuhan University of Technology.
Background
- Ph.D. candidate at the School of Computer Science, The University of Sydney, with a focus on Trustworthy AI, particularly in Intellectual Property (IP) protection. His research includes data-centric IP protection and IP protection for AI models via non-transferable learning (NTL).
Miscellany
- Serves as a reviewer for multiple prestigious international conferences (e.g., ICLR, NeurIPS, ICML, CVPR) and journals (e.g., IJCV, TIP, TNNLS).