| 2025 | ICML | Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers. | Zhengchao Wan, Qingsong Wang, Gal Mishne, Yusu Wang |
| 2024 | ALT | Distances for Markov Chains, and Their Differentiation. | Tristan Brugre, Zhengchao Wan, Yusu Wang |
| 2024 | ICML | Comparing Graph Transformers via Positional Encodings. | Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang |
| 2023 | ICML | Understanding Oversquashing in GNNs through the Lens of Effective Resistance. | Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang |
| 2023 | ICML | The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data. | Thomas Davies, Zhengchao Wan, Rubn J. Snchez-Garca |
| 2023 | ICML | The Numerical Stability of Hyperbolic Representation Learning. | Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang |
| 2022 | ICML | Weisfeiler-Lehman Meets Gromov-Wasserstein. | Samantha Chen, Sunhyuk Lim, Facundo Mmoli, Zhengchao Wan, Yusu Wang |
| 2019 | ICML | The Wasserstein Transform. | Facundo Mmoli, Zane T. Smith, Zhengchao Wan |