CV

For the full version, please download my CV PDF.

Education

  • Indiana University Bloomington, Ph.D. in Computer Science, 2024-2029 expected.
  • The Chinese University of Hong Kong, Shenzhen, B.S. in Financial Engineering, 2020-2024.

Research Interests

My research interests are in reinforcement learning, including:

  • Ongoing projects
    • Multi-Agent Reinforcement Learning (MARL)
    • Reinforcement Learning for LLMs
    • Reinforcement Learning for Agentic Frameworks
  • Published work

Publications

ICML 2026

Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation

Runze Zhao*, Yue Yu*, Ruhan Wang, Chunfeng Huang, Dongruo Zhou.

Code PDF Poster

UAI 2025

Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation

Runze Zhao*, Yue Yu*, Yiyue Zhu, Chen Yang, Dongruo Zhou.

Code PDF Poster

NeurIPS 2023

Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning

Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li.

Code PDF Slides Poster

* Equal contribution.

Teaching

  • Associate Instructor, CSCI-B 455: Principles of Machine Learning, Spring 2025.
  • Associate Instructor, CSCI-B 565: Data Mining, Fall 2025.

Service

  • Reviewer: L4DC 2025, NeurIPS 2025 workshop, ICLR 2026, ICML 2026, UAI 2026.