1. Computational Hardness of Reinforcement Learning with Partial qπ-Realizability (NeurIPS 2025)
2. Online Multi-Class Selection with Group Fairness Guarantee (NeurIPS 2025)
3. Online Allocation with Multi-Class Arrivals: Group Fairness vs Individual Welfare (ACM SIG)
Research Experience
Position: Assistant Professor, Department of Computing Science, University of Alberta
Background
Research Interests: Algorithms and decision-making under uncertainty, especially online algorithms, economic aspects of algorithms, and learning based on different forms of information access, as well as their broader societal implications in systems and networks shaped by dynamics and strategic behavior.