Scholar
Renzhe Xu
Google Scholar ID: NnppITIAAAAJ
Assistant Professor of Computer Science, Shanghai University of Finance and Economics
Citations & Impact
Citations
1,941
H-index
14
i10-index
18
Publications
20
Co-authors
14
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top-tier conferences and journals such as Nature Machine Intelligence, WINE, ICML, and WWW; Served as a reviewer or program committee member for several international conferences including ICML, ICLR, NeurIPS; Contributor to the IEEE Standards Association 3198 Development Group - Standard for Evaluation Method of Machine Learning Fairness.
Research Experience
- Tenure-track assistant professor at the Institute for Theoretical Computer Science, School of Computing and Artificial Intelligence, Shanghai University of Finance and Economics; Visited the Theory Group at the Department of Computer Science, Duke University, working with Prof. Kamesh Munagala during the Spring Semester of 2024.
Education
- Ph.D. in Computer Science and Technology from Tsinghua University, advised by Prof. Peng Cui and Prof. Bo Li; B.E. in Computer Science and Technology from Tsinghua University.
Background
- Research interests lie at the intersection of machine learning and algorithmic game theory, focusing on understanding and designing complex ML-driven systems involving strategic interactions among agents. Particularly interested in characterizing agents’ behaviors and equilibria in environments such as recommendation systems, data markets, and online platforms. Also passionate about the trustworthiness of machine learning algorithms, with work on their generalization capabilities and algorithmic fairness.
Miscellany
- Happy to host remote graduate/undergraduate visitors and actively looking for Ph.D. students.
