| 2025 | AAAI | Computing Game Symmetries and Equilibria That Respect Them. | Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Tuomas Sandholm, Vincent Conitzer |
| 2025 | ICML | Expected Variational Inequalities. | Brian Hu Zhang, Ioannis Anagnostides, Emanuel Tewolde, Ratip Emin Berker, Gabriele Farina, Vincent Conitzer, Tuomas Sandholm |
| 2024 | AAAI | On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria. | Brian Hu Zhang, Tuomas Sandholm |
| 2024 | ICLR | Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games. | Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm |
| 2024 | IJCAI | Imperfect-Recall Games: Equilibrium Concepts and Their Complexity. | Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Manolis Zampetakis, Tuomas Sandholm, Paul Goldberg, Vincent Conitzer |
| 2024 | IJCAI | Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games. | Brian Hu Zhang, Tuomas Sandholm |
| 2023 | ICML | Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization. | Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm |
| 2022 | AAAI | Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions. | Brian Hu Zhang, Tuomas Sandholm |
| 2022 | ALT | Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally. | Pravesh K. Kothari, Peter Manohar, Brian Hu Zhang |
| 2021 | AAAI | Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games. | Brian Hu Zhang, Tuomas Sandholm |
| 2020 | ICML | Sparsified Linear Programming for Zero-Sum Equilibrium Finding. | Brian Hu Zhang, Tuomas Sandholm |
| 2018 | AIES | Mitigating Unwanted Biases with Adversarial Learning. | Brian Hu Zhang, Blake Lemoine, Margaret Mitchell |