Zhiyao Zhang

Research

I am a second year Ph.D. student in the ECE Department at The Ohio State University, advised by Professor Jia (Kevin) Liu. Before joining OSU, I majored in Mathematics and Applied Mathematics and received my Bachelor of Science from the School of Mathematics at Southeast University in 2024. I also studied at the University of California Santa Barbara as a visiting student in 2022.

My research focuses on optimization, reinforcement learning, and multi-armed bandits, with interests in theory-guided algorithms for sequential decision-making and networked intelligent systems.

Publications

* marks co-primary authors.

  1. A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization

    Zhiyao Zhang, Myeung Suk Oh, Zhen Qin, Jiaxiang Li, Xin Zhang, Jia Liu.

    ICML, Seoul, South Korea, Jul. 2026.

  2. Multi-Objective Bilevel Learning

    Zhiyao Zhang, Zhuqing Liu, Xin Zhang, Wen-Yen Chen, Jiyan Yang, Jia Liu.

    AAAI, Singapore, Jan. 2026.

  3. Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization

    Myeung Suk Oh, Zhiyao Zhang, FNU Hairi, Alvaro Velasquez, Jia Liu.

    ACM MobiHoc, Houston, USA, Oct. 2025.

  4. Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning

    Zhiyao Zhang*, Myeung Suk Oh*, FNU Hairi, Ziyue Luo, Alvaro Velasquez, Jia Liu.

    ICML, Vancouver, Canada, Jul. 2025.

  5. Optimal Algorithm for Max-Min Fair Bandit

    Zilong Wang, Zhiyao Zhang, Shuai Li.

    ICML, Vancouver, Canada, Jul. 2025.

  6. Adversarial Attacks on Online Learning to Rank with Click Feedback

    Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman.

    NeurIPS, New Orleans, USA, Dec. 2023.