Qirun Zeng

Qirun Zeng

Ph.D. student in Computer Science, CityUHK

Profile

Academic background and advising.

I am a Ph.D. student in computer science at City University of Hong Kong, advised by Prof. Jinhang Zuo. Bofore that, 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.

  • 6Total citations
  • 1h-index
  • 0i10-index
  • 2Conference papers
  • 2Preprints

Research Focus

I study sequential decision-making under limited, noisy, or hybrid feedback. My current work focuses on bandit learning, robust online learning, and influence maximization, with an emphasis on provable guarantees and efficient algorithms.

Learning Theory Bandit Learning Robust Online Learning Influence Maximization

Selected Publications

Selected current and recent work in learning theory, bandit learning, and approximation algorithms.

Best Arm Identification in Generalized Linear Bandits via Hybrid Feedback

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

Studies best-arm identification in generalized linear bandits with hybrid feedback.

arXiv 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

Studies memory-efficient approximation algorithms for influence maximization under partition constraints.

KDD'2026 Code

Fusing Reward and Dueling Feedback in Stochastic Bandits

Xuchuang Wang , Qirun Zeng , Jinhang Zuo , Xutong Liu , Mohammad Hajiesmaili , John C. S. Lui , Adam Wierman

Examines stochastic bandits with both reward observations and dueling feedback.

ICML'2025 Code

View all publications

Education

Academic training and advising.

2025-present | Ph.D. in Computer Science

City University of Hong Kong

Advisor: Prof. Jinhang Zuo.

Honors

Selected honors, awards, and scholarships.

  1. 2025.03 Outstanding Graduate Top 15%.
  2. 2022.03 Growth Empowerment Scholarship 35 selected from 1,950 students.
  3. 2021.10 Excellent Student Scholarship, Gold Top 3%.

Service

Academic service and mentoring.

  • Reviewer or subreviewer for ICML 2025, NeurIPS 2025, and ICLR 2026.
  • Student mentor for the Master of Science in Artificial Intelligence program, CityUHK, 2025.

Teaching

Teaching assistant experience and selected course materials.

I have served as a teaching assistant for programming, data structures, algorithms, and mathematical analysis courses. See the teaching page for details and available course materials.

Contact

For research discussions, seminar invitations, and collaboration inquiries, email is the most reliable contact channel.