About me
Hello! I’m Shaokui Wei (魏少魁).
I am an Assistant Professor in the School of Computing and Artificial Intelligence at Shanghai University of Finance and Economics (SUFE). My research focuses on trustworthy artificial intelligence, with the goal of building machine learning systems that are secure, robust, fair, and reliable.
I received my Ph.D. in Data Science from The Chinese University of Hong Kong, Shenzhen, under the supervision of Professor Hongyuan Zha. I also received my B.Eng. in Electronic Information Engineering from the same university, graduating first in my class with first-class honors.
Research
My work centers on machine learning security, particularly backdoor attacks and defenses, as well as robustness and fairness in modern AI systems. I am also interested in the connections between trustworthy AI, computer vision, and optimization.
- Backdoor defense. Identifying and removing backdoors from compromised models through adversarial unlearning, proactive defense, and distance-driven detoxification. Representative work: D3, PDB, and SAU.
- Evaluation and benchmarking. Building reliable and reproducible evaluation systems for backdoor attacks and defenses, including BackdoorBench.
- Fair and reliable learning. Developing principled learning methods that balance predictive performance with fairness and robustness, including mean-parity fair regression.
Research Opportunities
I am always looking for motivated Ph.D. students, master’s students, and research assistants (undergraduate or master’s level) interested in trustworthy AI. Relevant topics include machine learning security, backdoor attacks and defenses, robustness, fairness, and reliable AI systems.
If you are interested, please email me with your CV and a brief introduction to your research interests.
News
- Jan. 2026 — Joined SUFE as an Assistant Professor.
- Sep. 2025 — Our survey was accepted by IEEE TPAMI.
- Jun. 2025 — One paper was selected as an ICCV 2025 Highlight (Top 5%).
- May 2025 — Selected as a Top Reviewer at ICML 2025.
Teaching
- Python Programming, 2026–2027 Term 1
- Computer Programming, 2025–2026 Term 2
Funding
- National Natural Science Foundation of China Young Scientists Fund (Category C) （国家自然科学基金青年科学基金项目（C类））
- Daoyuan Youth Fund Project — Class I (道远 I 类青年基金项目)