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. I am currently seeking research internship opportunities. Please feel free to contact me regarding any potential opportunities. Previously, I worked as a research assistant with Prof. Sibo Wang at the Chinese University of Hong Kong from July to October 2024. Before 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, and influence maximization.
Selected Publications
Selected current and recent work.
Best Arm Identification in Generalized Linear Bandits via Hybrid Feedback
Studies best-arm identification in generalized linear bandits with hybrid feedback.
One Rounding Fits All: Memory-Efficient Approximation Algorithms for Partition-Constrained Influence Maximization
Studies memory-efficient approximation algorithms for influence maximization under partition constraints.
Fusing Reward and Dueling Feedback in Stochastic Bandits
Examines stochastic bandits with both reward observations and dueling feedback.
Education
Academic training and advising.
2025-present | Ph.D. in Computer Science
City University of Hong Kong
Advisor: Prof. Jinhang Zuo.
2021-2025 | B.S.
University of Science and Technology of China
School of the Gifted Young. Advised by Prof. Xue Chen and Prof. Jinhang Zuo.
Honors
Selected honors, awards, and scholarships.
- 2026.06 ACM Hong Kong Chapter 1st Runner-Up.
- 2025.03 Outstanding Graduate Top 15%.
- 2022.03 Growth Empowerment Scholarship 35 selected from 1,950 students.
- 2021.10 Excellent Student Scholarship, Gold Top 3%.
Service
Academic service and mentoring.
- Reviewer or subreviewer for ICML 2025, NeurIPS 2025, and ICLR 2026, NeurIPS 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, collaboration inquiries, internship or employment opportunities, and other matters, please feel free to contact me at qirunzeng@gmail.com or qirun.zeng@my.cityu.edu.hk.