Scholar
Wei Tang
Google Scholar ID: LTxifDkAAAAJ
Chinese University of Hong Kong
Citations & Impact
Citations
807
H-index
11
i10-index
13
Publications
20
Co-authors
11
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as SODA, NeurIPS, ITCS, EC, and ICML; Organized a tutorial at WINE 2025 on 'Information Design Perspective on Calibration'; Presented works at INFORMS 2024 on dynamic pricing with long-term reference effects, rationality-robust information design, and dynamic pricing with Bayesian persuasion; Contributed to research on designing confusion matrix for downstream decision-making and the robustness of Prophet inequality to strategic reward signaling.
Research Experience
- Currently an assistant professor at the Chinese University of Hong Kong, previously a postdoctoral fellow at the Data Science Institute, Columbia University.
Education
- Ph.D. in Computer Science from Washington University in St. Louis, advised by Chien-Ju Ho; Postdoctoral fellow at the Data Science Institute, Columbia University, mentored by Shipra Agrawal; Bachelor's degree from Tianjin University, China.
Background
- Currently an assistant professor in the Department of Decisions, Operations and Technology at the Chinese University of Hong Kong. His research interests include sequential decision-making (with uncertainty), reinforcement learning, information design, socially responsible machine learning, and human-AI interaction. He is particularly interested in how to efficiently and effectively design or provide information/predictions to help humans/algorithms make desired decisions in complex environments.
Miscellany
- Looking for students and interested individuals are encouraged to send an email with their CV.
