Bandit Learning in Matching Markets Robust to Adversarial Corruptions
Wu, Z., Zuo, J., Xu, Z., & Kong, F. (2026). Bandit Learning in Matching Markets Robust to Adversarial Corruptions. In ICLR.
CV
Education
- Ph.D. in Computer Science and Technology, Harbin Institute of Technology, Shenzhen, 2027 (expected)
- M.S. in Information and Communication Engineering, Sun Yat-sen University, 2023
- B.S. in Information and Interaction Design, South China University of Technology, 2020
Work Experience
- Jan. 2026 – July 2026: Research Intern
- Huawei Technologies Ltd.
- Noah’s Ark Lab
- Mentor: Dr. Yu Pan
- Nov. 2024 – Sept. 2025: Visiting Student
- Southern University of Science and Technology
- Department of Statistics and Data Science
- Supervisor: Prof. Fang Kong
Publications
Paper Title Number 5, with math \(E=mc^2\)
Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Paper Title Number 4
Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Multi-level federated graph learning and self-attention based personalized Wi-Fi indoor fingerprint localization
Wu, Z., Wu, X., & Long, Y. (2022). Multi-level federated graph learning and self-attention based personalized Wi-Fi indoor fingerprint localization. IEEE Communications Letters, 26(8), 1794-1798.
Paper Title Number 3
Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
Bandit Learning in Matching Markets Robust to Adversarial Corruptions
Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
Teaching
Service and leadership
- Currently signed in to 43 different slack teams