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Zhengchao Wan
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2020 – today
- 2024
- [c8]Tristan Brugère, Zhengchao Wan, Yusu Wang:
Distances for Markov Chains, and Their Differentiation. ALT 2024: 282-336 - [i13]Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang:
Comparing Graph Transformers via Positional Encodings. CoRR abs/2402.14202 (2024) - [i12]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 abs/2404.15261 (2024) - 2023
- [j2]Facundo Mémoli
, Axel Munk, Zhengchao Wan, Christoph Weitkamp:
The Ultrametric Gromov-Wasserstein Distance. Discret. Comput. Geom. 70(4): 1378-1450 (2023) - [c7]Aziz Burak Gülen, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
A Generalization of the Persistent Laplacian to Simplicial Maps. SoCG 2023: 37:1-37:17 - [c6]Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang:
Understanding Oversquashing in GNNs through the Lens of Effective Resistance. ICML 2023: 2528-2547 - [c5]Thomas Davies, Zhengchao Wan, Rubén J. Sánchez-García:
The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data. ICML 2023: 7249-7263 - [c4]Gal Mishne
, Zhengchao Wan, Yusu Wang, Sheng Yang:
The Numerical Stability of Hyperbolic Representation Learning. ICML 2023: 24925-24949 - [c3]Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs. TAG-ML 2023: 404-425 - [i11]Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs. CoRR abs/2302.00713 (2023) - [i10]Aziz Burak Gülen, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
A generalization of the persistent Laplacian to simplicial maps. CoRR abs/2302.03771 (2023) - [i9]Mitchell Black, Amir Nayyeri, Zhengchao Wan, Yusu Wang:
Understanding Oversquashing in GNNs through the Lens of Effective Resistance. CoRR abs/2302.06835 (2023) - [i8]Tristan Brugère, Zhengchao Wan, Yusu Wang:
Distances for Markov Chains, and Their Differentiation. CoRR abs/2302.08621 (2023) - [i7]Alexander Cloninger, Gal Mishne, Andreas Oslandsbotn, Sawyer Jack Robertson, Zhengchao Wan, Yusu Wang:
Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. CoRR abs/2308.09690 (2023) - 2022
- [j1]Facundo Mémoli, Zhengchao Wan, Yusu Wang
:
Persistent Laplacians: Properties, Algorithms and Implications. SIAM J. Math. Data Sci. 4(2): 858-884 (2022) - [c2]Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
Weisfeiler-Lehman Meets Gromov-Wasserstein. ICML 2022: 3371-3416 - [i6]Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
Weisfeiler-Lehman meets Gromov-Wasserstein. CoRR abs/2202.02495 (2022) - [i5]Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang
:
The Numerical Stability of Hyperbolic Representation Learning. CoRR abs/2211.00181 (2022) - 2021
- [i4]Facundo Mémoli, Zane T. Smith, Zhengchao Wan:
The Gromov-Hausdorff distance between ultrametric spaces: its structure and computation. CoRR abs/2110.03136 (2021) - 2020
- [i3]Kun Jin, Facundo Mémoli, Zhengchao Wan:
The Gaussian Transform. CoRR abs/2006.11698 (2020) - [i2]Facundo Mémoli, Zhengchao Wan, Yusu Wang:
Persistent Laplacians: properties, algorithms and implications. CoRR abs/2012.02808 (2020)
2010 – 2019
- 2019
- [c1]Facundo Mémoli, Zane T. Smith, Zhengchao Wan:
The Wasserstein Transform. ICML 2019: 4496-4504 - 2018
- [i1]Facundo Mémoli, Zane T. Smith, Zhengchao Wan:
The Wasserstein transform. CoRR abs/1810.07793 (2018)
Coauthor Index
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