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).