Wan, Zhengchao

11 publications

ICML 2025 Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers Zhengchao Wan, Qingsong Wang, Gal Mishne, Yusu Wang

NeurIPS 2025 Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models Qingsong Wang, Zhengchao Wan, Mikhail Belkin, Yusu Wang

ICML 2024 Comparing Graph Transformers via Positional Encodings Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang

NeurIPS 2024 Continuous Partitioning for Graph-Based Semi-Supervised Learning Chester Holtz, Pengwen Chen, Zhengchao Wan, Chung-Kuan Cheng, Gal Mishne

ALT 2024 Distances for Markov Chains, and Their Differentiation Tristan Brugère, Zhengchao Wan, Yusu Wang

ICML 2023 The Numerical Stability of Hyperbolic Representation Learning Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang

ICML 2023 The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data Thomas Davies, Zhengchao Wan, Ruben J Sanchez-Garcia

ICMLW 2023 The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs Samantha Chen, Sunhyuk Lim, Facundo Memoli, Zhengchao Wan, Yusu Wang

ICML 2023 Understanding Oversquashing in GNNs Through the Lens of Effective Resistance Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang

ICML 2022 Weisfeiler-Lehman Meets Gromov-Wasserstein Samantha Chen, Sunhyuk Lim, Facundo Memoli, Zhengchao Wan, Yusu Wang

ICML 2019 The Wasserstein Transform Facundo Memoli, Zane Smith, Zhengchao Wan