'*' 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, and Jia Liu.

   ICML, Seoul, South Korea, Jul. 2026 (acceptance rate: 26.6%).

2. Multi-Objective Bilevel Learning

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

   AAAI, Singapore, Jan. 2026 (acceptance rate: 17.6%).

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

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

   ACM MobiHoc, Houston, USA, Oct. 2025 (acceptance rate: 23%).

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, and Jia Liu.

   ICML, Vancouver, Canada, Jul. 2025 (acceptance rate: 26.9%).

5. Optimal Algorithm for Max-Min Fair Bandit

   Zilong Wang, Zhiyao Zhang, Shuai Li.

   ICML, Vancouver, Canada, Jul. 2025 (acceptance rate: 26.9%).

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

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

   NeurIPS, New Orleans, USA, Dec. 2023 (acceptance rate: 26.1%).