Ph.D. candidate in Computer Science at City University of Hong Kong
I study learning and decision-making under uncertainty, focusing on bandit learning, feedback design, and adversarial robustness. My interests also include sequential inference and combinatorial optimization. My advisor is 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.
⋆ Equal contribution.
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.
Reviewer
AISTATS and WWW.
ICLR and NeurIPS.
ICML and NeurIPS.
| Account | Rating | Peak | Solved |
|---|---|---|---|
| Codeforces | 1630 | 1648 | 118 |
| AtCoder | 984 | 1023 | 71 |
| LeetCode | 1920 | 1920 | 116 |
| Luogu | 1216 | 1216 | 82 |
Updated
387 platform solves across 4 accounts
Problems can have multiple topics.
Problems can appear in multiple languages.
Topic coverage: Codeforces and Luogu. Language coverage: Codeforces, AtCoder and LeetCode. Missing data remains visible as Unclassified or Not public.