Mingyang Liu

Ph.D. Candidate

EECS, MIT

Biography

I am a third-year Ph.D. candidate at MIT EECS, working on algorithmic game theory. I am very fortunate to be co-advised by Prof. Asu Ozdaglar and Prof. Gabriele Farina.

Download my resumé .

Education

Ph.D. in Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2025 - Present
S.M. in Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2023 - 2025
B.Eng. in Institute for Interdisciplinary Information Sciences (Yao Class), Tsinghua University, 2019 - 2023

Recent Publications

Quickly discover relevant content by filtering publications.

Mingyang Liu, Yongshan Chen, Zhiyuan Fan, Gabriele Farina, Asuman Ozdaglar, Kaiqing Zhang (2026). Online Learning and Equilibrium Computation with Ranking Feedback. ICLR 2026 (Oral, Top 1.18%).

PDF Cite

Mingyang Liu, Gabriele Farina, Asuman Ozdaglar (2026). Computing Equilibrium beyond Unilateral Deviation. ICLR 2026.

PDF Cite

Mingyang Liu, Gabriele Farina, Asuman Ozdaglar (2026). Differentially Private Equilibrium Finding in Polymatrix Games. ICLR 2026.

PDF Cite

Mingyang Liu, Gabriele Farina, Asuman Ozdaglar (2025). UFT: Unifying Supervised and Reinforcement Fine-Tuning. NeurIPS 2025.

PDF Cite

Mingyang Liu, Gabriele Farina, Asuman Ozdaglar (2025). A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence. ICLR 2025.

PDF Cite

Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu, Kaiqing Zhang (2023). The Power of Regularization in Solving Extensive-Form Games. ICLR 2023 (Alphabetical Order).

PDF Cite

Mingyang Liu, Chengjie Wu, Qihan Liu, Yansen Jing, Jun Yang, Pingzhong Tang, Chongjie Zhang (2022). Safe Opponent-Exploitation Subgame Refinement. NeurIPS 2022.

PDF Cite