Zhengchao Wan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Fukunaga Koontz

Hausdorff Distance

Computationally Feasible

Top Venues

Discret. Comput. Geom.

Publications

Tristan Brugère, Zhengchao Wan, Yusu Wang
Distances for Markov Chains, and Their Differentiation. ALT (2024)
Sawyer Jack Robertson, Zhengchao Wan, Alexander Cloninger
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs. CoRR (2024)
Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang
Comparing Graph Transformers via Positional Encodings. CoRR (2024)
Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang
The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs. CoRR (2023)
Alexander Cloninger, Gal Mishne, Andreas Oslandsbotn, Sawyer Jack Robertson, Zhengchao Wan, Yusu Wang
Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. CoRR (2023)
Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang
The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs. TAG-ML (2023)
Tristan Brugère, Zhengchao Wan, Yusu Wang
Distances for Markov Chains, and Their Differentiation. CoRR (2023)
Mitchell Black, Amir Nayyeri, Zhengchao Wan, Yusu Wang
Understanding Oversquashing in GNNs through the Lens of Effective Resistance. CoRR (2023)
Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang
The Numerical Stability of Hyperbolic Representation Learning. ICML (2023)
Aziz Burak Gülen, Facundo Mémoli, Zhengchao Wan, Yusu Wang
A generalization of the persistent Laplacian to simplicial maps. CoRR (2023)
Aziz Burak Gülen, Facundo Mémoli, Zhengchao Wan, Yusu Wang
A Generalization of the Persistent Laplacian to Simplicial Maps. SoCG (2023)
Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang
Understanding Oversquashing in GNNs through the Lens of Effective Resistance. ICML (2023)
Facundo Mémoli, Axel Munk, Zhengchao Wan, Christoph Weitkamp
The Ultrametric Gromov-Wasserstein Distance. Discret. Comput. Geom. 70 (4) (2023)
Thomas Davies, Zhengchao Wan, Rubén J. Sánchez-García
The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data. ICML (2023)
Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang
The Numerical Stability of Hyperbolic Representation Learning. CoRR (2022)
Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang
Weisfeiler-Lehman meets Gromov-Wasserstein. CoRR (2022)
Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang
Weisfeiler-Lehman Meets Gromov-Wasserstein. ICML (2022)
Facundo Mémoli, Zhengchao Wan, Yusu Wang
Persistent Laplacians: Properties, Algorithms and Implications. SIAM J. Math. Data Sci. 4 (2) (2022)
Facundo Mémoli, Zane T. Smith, Zhengchao Wan
The Gromov-Hausdorff distance between ultrametric spaces: its structure and computation. CoRR (2021)
Facundo Mémoli, Zhengchao Wan, Yusu Wang
Persistent Laplacians: properties, algorithms and implications. CoRR (2020)
Kun Jin, Facundo Mémoli, Zhengchao Wan
The Gaussian Transform. CoRR (2020)
Facundo Mémoli, Zane T. Smith, Zhengchao Wan
The Wasserstein Transform. ICML (2019)
Facundo Mémoli, Zane T. Smith, Zhengchao Wan
The Wasserstein transform. CoRR (2018)