Best Arm Identification in Generalized Linear Bandits via Hybrid Feedback
In Proceedings of the 40th Annual Conference on Neural Information Processing Systems
Ph.D. candidate at City University of Hong Kong
I study learning and decision-making under uncertainty, with a focus on bandit algorithms, feedback design, and adversarial robustness.
⋆ Equal contribution.
In Proceedings of the 40th Annual Conference on Neural Information Processing Systems
In Proceedings of the 40th Annual Conference on Neural Information Processing Systems
Our paper WEREWOLF: Reputation-Aware Red-Teaming for Self-Organizing LLM Multi-Agent Systems was accepted to Findings of EMNLP 2026.
Our paper One Rounding Fits All: Memory-Efficient Approximation Algorithms for Partition-Constrained Influence Maximization was accepted to KDD 2026.
I am a Ph.D. candidate in Computer Science at City University of Hong Kong, advised by Prof. Jinhang Zuo. Previously, I worked as a research assistant with Prof. Sibo Wang at the Chinese University of Hong Kong from July to October 2024.
I received my bachelor’s degree in Computer Science and Technology from the School of the Gifted Young at the University of Science and Technology of China, where I was advised by Prof. Xue Chen and Prof. Jinhang Zuo.
2026
ICLR and NeurIPS.
2025
ICML and NeurIPS.
I have served as a teaching assistant for programming, data structures, algorithms, and mathematical analysis courses.
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127 accepted submissions
Updated