Qirun Zeng

Qirun Zeng

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.

Publications Email

Selected Publications

⋆ Equal contribution.

Best Arm Identification in Generalized Linear Bandits via Hybrid Feedback

Qirun Zeng, Xuchuang Wang, Jiayi Shen, Xutong Liu, Fang Kong, Jinhang Zuo

In Proceedings of the 40th Annual Conference on Neural Information Processing Systems

NeurIPS'2026 Code

Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection

Qirun Zeng, Eric He, Richard Hoffmann, Xuchuang Wang, Jinhang Zuo

In Proceedings of the 40th Annual Conference on Neural Information Processing Systems

NeurIPS'2026 Code

One Rounding Fits All: Memory-Efficient Approximation Algorithms for Partition-Constrained Influence Maximization

Qixin Zhang⋆, Qirun Zeng⋆, Hui Lu, Pingchuan Ma, Jinhang Zuo, Renqiang Luo, Yi Yu, Dacheng Tao

In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining

KDD'2026 Code

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Research Interests

Bandit learning
Reward and preference feedback, best-arm identification, and sample-efficient exploration.
Adversarial robustness
Data poisoning in bandits and red-teaming of LLM multi-agent systems.
Sequential inference
Confidence sequences, e-values, and multiple testing.
Combinatorial optimization
Influence maximization, approximation algorithms, and memory-efficient sampling.

Recent News

  1. Two papers accepted to NeurIPS 2026.

  2. WEREWOLF accepted to Findings of EMNLP 2026.

  3. One Rounding Fits All accepted to KDD 2026.

All updates

About

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.

Service

2026

Reviewer

ICLR and NeurIPS.

2025

Reviewer

ICML and NeurIPS.

Teaching

I have served as a teaching assistant for programming, data structures, algorithms, and mathematical analysis courses.

View teaching experience

Programming

Codeforces · rewinery Expert
Current rating
1630
Peak rating
1648
Problems solved
118
Rated contests
18
Explore topics & languages

Problems by topic

Tag frequency

28topics
  1. greedy72
  2. math38
  3. constructive algorithms34
  4. brute force27
  5. implementation27
  6. dp22
Other (22) 143
  • sortings21
  • binary search16
  • data structures14
  • bitmasks10
  • dfs and similar10
  • graphs10
  • two pointers9
  • number theory8
  • interactive6
  • strings6
  • trees6
  • combinatorics5
  • games5
  • divide and conquer3
  • dsu2
  • geometry2
  • graph matchings2
  • hashing2
  • schedules2
  • shortest paths2
  • probabilities1
  • ternary search1

Languages

127 accepted submissions

2languages
  • C++98
  • Python29

Updated