The Wasserstein Transform. - Facundo Mémoli; Zane T. Smith; Zhengchao Wan (ICML, 2019)

The Gaussian Transform. - Kun Jin; Facundo Mémoli; Zhengchao Wan (CoRR, 2020)

The Gromov-Hausdorff distance between ultrametric spaces: its structure and computation. - Facundo Mémoli; Zane T. Smith; Zhengchao Wan (CoRR, 2021)

Weisfeiler-Lehman Meets Gromov-Wasserstein. - Samantha Chen 001; Sunhyuk Lim; Facundo Mémoli; Zhengchao Wan; Yusu Wang 001 (ICML, 2022)

Persistent Laplacians: Properties, Algorithms and Implications. - Facundo Mémoli; Zhengchao Wan; Yusu Wang 001 (SIAM J. Math. Data Sci., 2022)

A Generalization of the Persistent Laplacian to Simplicial Maps. - Aziz Burak Gülen; Facundo Mémoli; Zhengchao Wan; Yusu Wang 001 (SoCG, 2023)

Understanding Oversquashing in GNNs through the Lens of Effective Resistance. - Mitchell Black 002; Zhengchao Wan; Amir Nayyeri; Yusu Wang 001 (ICML, 2023)

The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data. - Thomas Davies 001; Zhengchao Wan; Rubén J. Sánchez-García (ICML, 2023)

The Numerical Stability of Hyperbolic Representation Learning. - Gal Mishne; Zhengchao Wan; Yusu Wang 001; Sheng Yang 004 (ICML, 2023)

The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs. - Samantha Chen 001; Sunhyuk Lim; Facundo Mémoli; Zhengchao Wan; Yusu Wang 001 (TAG-ML, 2023)

The Gromov-Hausdor? distance between ultrametric spaces: its structure and computation. - Facundo Mémoli; Zane T. Smith; Zhengchao Wan (J. Comput. Geom., 2023)

The Ultrametric Gromov-Wasserstein Distance. - Facundo Mémoli; Axel Munk; Zhengchao Wan; Christoph Weitkamp (Discret. Comput. Geom., 2023)

Distances for Markov Chains, and Their Differentiation. - Tristan Brugère; Zhengchao Wan; Yusu Wang 001 (ALT, 2024)

Comparing Graph Transformers via Positional Encodings. - Mitchell Black 002; Zhengchao Wan; Gal Mishne; Amir Nayyeri; Yusu Wang 001 (ICML, 2024)

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

All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs. - Sawyer Jack Robertson; Zhengchao Wan; Alexander Cloninger (CoRR, 2024)

Elucidating Flow Matching ODE Dynamics with respect to Data Geometries. - Gal Mishne; Zhengchao Wan; Qingsong Wang; Yusu Wang 001 (CoRR, 2024)

Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. - Alexander Cloninger; Gal Mishne; Andreas Oslandsbotn; Sawyer Jack Robertson; Zhengchao Wan; Yusu Wang 001 (SIAM J. Matrix Anal. Appl., 2024)

Robust Graph-Based Semi-Supervised Learning via p-Conductances. - Sawyer Jack Robertson; Chester Holtz; Zhengchao Wan; Gal Mishne; Alexander Cloninger (CoRR, 2025)