Yusu Wang

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 100

Top Venues

Publications

Cai Zhou, Rose Yu, Yusu Wang
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers. CoRR (2024)
Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR (2024)
Andrew B. Kahng, Arya Mazumdar, Jodi Reeves, Yusu Wang
The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics. AI Mag. 45 (1) (2024)
Andrew B. Kahng, Robert R. Nerem, Yusu Wang, Chien-Yi Yang
NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem. AAAI (2024)
Andrew B. Kahng, Robert R. Nerem, Yusu Wang, Chien-Yi Yang
NN-Steiner: A Mixed Neural-algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem. CoRR (2023)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang
Cycle Invariant Positional Encoding for Graph Representation Learning. CoRR (2023)
Chen Cai, Yusu Wang
Convergence of Invariant Graph Networks. ICML (2022)
Chen Cai, Yusu Wang
Convergence of Invariant Graph Networks. CoRR (2022)
Elena Farahbakhsh Touli, Yusu Wang
FPT-Algorithms for computing Gromov-Hausdorff and interleaving distances between trees. J. Comput. Geom. 13 (1) (2022)
Yikai Zhang, Jiachen Yao, Yusu Wang, Chao Chen
On the Convergence of Optimizing Persistent-Homology-Based Losses. CoRR (2022)
Samantha Chen, Puoya Tabaghi, Yusu Wang
Learning Ultrametric Trees for Optimal Transport Regression. CoRR (2022)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
Neural Approximation of Graph Topological Features. NeurIPS (2022)
Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang
The Numerical Stability of Hyperbolic Representation Learning. CoRR (2022)
Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess E. Smidt, Yusu Wang, Jian Tang, Rafael Gómez-Bombarelli
Generative Coarse-Graining of Molecular Conformations. ICML (2022)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
Neural Approximation of Extended Persistent Homology on Graphs. CoRR (2022)
Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess Smidt, Yusu Wang, Jian Tang, Rafael Gómez-Bombarelli
Generative Coarse-Graining of Molecular Conformations. CoRR (2022)
Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang
Weisfeiler-Lehman meets Gromov-Wasserstein. CoRR (2022)
Yusu Wang
Modeling and Application of Rule Optimization based on Neural Network. ICCSIE (2022)
Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang
Weisfeiler-Lehman Meets Gromov-Wasserstein. ICML (2022)
Xinyue Xia, Gal Mishne, Yusu Wang
Implicit Graphon Neural Representation. CoRR (2022)
Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen
Topology-Aware Segmentation Using Discrete Morse Theory. CoRR (2021)
Samantha Chen, Yusu Wang
Approximation Algorithms for 1-Wasserstein Distance Between Persistence Diagrams. SEA (2021)
Chen Cai, Dingkang Wang, Yusu Wang
Graph Coarsening with Neural Networks. CoRR (2021)
Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen
Topology-Aware Segmentation Using Discrete Morse Theory. ICLR (2021)
Chen Cai, Nikolaos Vlassis, Lucas Magee, Ran Ma, Zeyu Xiong, Bahador Bahmani, Teng-Fong Wong, Yusu Wang, WaiChing Sun
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph. CoRR (2021)
Lucas Magee, Yusu Wang
Graph skeletonization of high-dimensional point cloud data via topological method. CoRR (2021)
Chen Cai, Woojin Kim, Facundo Mémoli, Yusu Wang
Elder-Rule-Staircodes for Augmented Metric Spaces. SIAM J. Appl. Algebra Geom. 5 (3) (2021)
Chen Cai, Dingkang Wang, Yusu Wang
Graph Coarsening with Neural Networks. ICLR (2021)
Samantha Chen, Yusu Wang
Approximation algorithms for 1-Wasserstein distance between persistence diagrams. CoRR (2021)
Evan McCarty, Qi Zhao, Anastasios Sidiropoulos, Yusu Wang
NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs. NeurIPS (2021)
Erin W. Chambers, Brittany Terese Fasy, Yusu Wang, Carola Wenk
Map-Matching Using Shortest Paths. ACM Trans. Spatial Algorithms Syst. 6 (1) (2020)
Facundo Mémoli, Zhengchao Wan, Yusu Wang
Persistent Laplacians: properties, algorithms and implications. CoRR (2020)
Yusu Wang
Topological and geometric methods for graph analysis. CCCG (2020)
Tamal K. Dey, Tianqi Li, Yusu Wang
An Efficient Algorithm for 1-Dimensional (Persistent) Path Homology. SoCG (2020)
Samik Banerjee, Lucas Magee, Dingkang Wang, Xu Li, Bing-Xing Huo, Jaikishan Jayakumar, Katherine Matho, Meng-Kuan Lin, Keerthi Ram, Mohanasankar Sivaprakasam, Z. Josh Huang, Yusu Wang, Partha P. Mitra
Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks. Nat. Mach. Intell. 2 (10) (2020)
Chen Cai, Yusu Wang
Understanding the Power of Persistence Pairing via Permutation Test. CoRR (2020)
Dingkang Wang, Yusu Wang
Ordinally Consensus Subset over Multiple Metrics. CoRR (2020)
Chen Cai, Yusu Wang
A Note on Over-Smoothing for Graph Neural Networks. CoRR (2020)
Gill Barequet, Yusu Wang
Guest Editors' Foreword. Discret. Comput. Geom. 64 (4) (2020)
Dingkang Wang, Yusu Wang
An Improved Cost Function for Hierarchical Cluster Trees. J. Comput. Geom. 11 (1) (2020)
Chen Cai, Woojin Kim, Facundo Mémoli, Yusu Wang
Elder-rule-staircodes for Augmented Metric Spaces. CoRR (2020)
Michal Adamaszek, Henry Adams, Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
On homotopy types of Vietoris-Rips complexes of metric gluings. J. Appl. Comput. Topol. 4 (3) (2020)
Chen Cai, Woojin Kim, Facundo Mémoli, Yusu Wang
Elder-Rule-Staircodes for Augmented Metric Spaces. SoCG (2020)
Qi Zhao, Ze Ye, Chao Chen, Yusu Wang
Persistence Enhanced Graph Neural Network. AISTATS (2020)
Tamal K. Dey, Tianqi Li, Yusu Wang
An efficient algorithm for 1-dimensional (persistent) path homology. CoRR (2020)
Dingkang Wang, Lucas Magee, Bing-Xing Huo, Samik Banerjee, Xu Li, Jaikishan Jayakumar, Meng-Kuan Lin, Keerthi Ram, Suyi Wang, Yusu Wang, Partha P. Mitra
Detection and skeletonization of single neurons and tracer injections using topological methods. CoRR (2020)
Lin Yan, Yusu Wang, Elizabeth Munch, Ellen Gasparovic, Bei Wang
A Structural Average of Labeled Merge Trees for Uncertainty Visualization. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang
A Topological Regularizer for Classifiers via Persistent Homology. AISTATS (2019)
Minghao Tian, Yusu Wang
A limit theorem for the 1st Betti number of layer-1 subgraphs in random graphs. CoRR (2019)
Lin Yan, Yusu Wang, Elizabeth Munch, Ellen Gasparovic, Bei Wang
A Structural Average of Labeled Merge Trees for Uncertainty Visualization. CoRR (2019)
Ellen Gasparovic, Elizabeth Munch, Steve Oudot, Katharine Turner, Bei Wang, Yusu Wang
Intrinsic Interleaving Distance for Merge Trees. CoRR (2019)
Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
The relationship between the intrinsic Čech and persistence distortion distances for metric graphs. J. Comput. Geom. 10 (1) (2019)
Qi Zhao, Yusu Wang
Learning metrics for persistence-based summaries and applications for graph classification. NeurIPS (2019)
Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
Local Versus Global Distances for Zigzag Persistence Modules. CoRR (2019)
Tamal K. Dey, Jiayuan Wang, Yusu Wang
Road Network Reconstruction from satellite images with Machine Learning Supported by Topological Methods. SIGSPATIAL/GIS (2019)
Tamal K. Dey, Jiayuan Wang, Yusu Wang
Road Network Reconstruction from Satellite Images with Machine Learning Supported by Topological Methods. CoRR (2019)
Erin Wolf Chambers, Yusu Wang
Measuring similarity between curves on 2-manifolds via homotopy area. J. Comput. Geom. 10 (1) (2019)
Qi Zhao, Yusu Wang
Learning metrics for persistence-based summaries and applications for graph classification. CoRR (2019)
Elena Farahbakhsh Touli, Yusu Wang
FPT-Algorithms for Computing Gromov-Hausdorff and Interleaving Distances Between Trees. ESA (2019)
Tamal K. Dey, Dayu Shi, Yusu Wang
SimBa: An Efficient Tool for Approximating Rips-filtration Persistence via Simplicial Batch Collapse. ACM J. Exp. Algorithmics 24 (1) (2019)
Matthew Kahle, Minghao Tian, Yusu Wang
Local Cliques in ER-Perturbed Random Geometric Graphs. ISAAC (2019)
Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. IJCAI (2019)
Suyi Wang, Xu Li, Partha P. Mitra, Yusu Wang
Topological Skeletonization and Tree-Summarization of Neurons Using Discrete Morse Theory. CoRR (2018)
Matthew Kahle, Minghao Tian, Yusu Wang
Local cliques in ER-perturbed random geometric graphs. CoRR (2018)
Tamal K. Dey, Jiayuan Wang, Yusu Wang
Graph Reconstruction by Discrete Morse Theory. SoCG (2018)
Chuanjiang Luo, Xiaoyin Ge, Yusu Wang
Uniformization and Density Adaptation for Point Cloud Data Via Graph Laplacian. Comput. Graph. Forum 37 (1) (2018)
Mickaël Buchet, Tamal K. Dey, Jiayuan Wang, Yusu Wang
Declutter and resample: Towards parameter free denoising. J. Comput. Geom. 9 (2) (2018)
Pankaj K. Agarwal, Kyle Fox, Abhinandan Nath, Anastasios Sidiropoulos, Yusu Wang
Computing the Gromov-Hausdorff Distance for Metric Trees. ACM Trans. Algorithms 14 (2) (2018)
Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
The Relationship Between the Intrinsic Cech and Persistence Distortion Distances for Metric Graphs. CoRR (2018)
Erin W. Chambers, Brittany Terese Fasy, Yusu Wang, Carola Wenk
Map-matching using shortest paths. IWISC (2018)
Elena Farahbakhsh Touli, Yusu Wang
FPT-algorithms for computing Gromov-Hausdorff and interleaving distances between trees. CoRR (2018)
Justin Eldridge, Mikhail Belkin, Yusu Wang
Unperturbed: spectral analysis beyond Davis-Kahan. ALT (2018)
Tamal K. Dey, Tianqi Li, Yusu Wang
Efficient Algorithms for Computing a Minimal Homology Basis. LATIN (2018)
Michal Adamaszek, Henry Adams, Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
Vietoris-Rips and Cech Complexes of Metric Gluings. SoCG (2018)
Dingkang Wang, Yusu Wang
An Improved Cost Function for Hierarchical Cluster Trees. CoRR (2018)
Tamal K. Dey, Jiayuan Wang, Yusu Wang
Graph Reconstruction by Discrete Morse Theory. CoRR (2018)
Tamal K. Dey, Tianqi Li, Yusu Wang
Efficient algorithms for computing a minimal homology basis. CoRR (2018)
Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang
TopoReg: A Topological Regularizer for Classifiers. CoRR (2018)
Chen Cai, Yusu Wang
A simple yet effective baseline for non-attribute graph classification. CoRR (2018)
Anastasios Sidiropoulos, Dingkang Wang, Yusu Wang
Metric embeddings with outliers. SODA (2017)
Yang Zhang, Yusu Wang, Srinivasan Parthasarathy
Analyzing and Visualizing Scalar Fields on Graphs. ICDE (2017)
Mickaël Buchet, Tamal K. Dey, Jiayuan Wang, Yusu Wang
Declutter and Resample: Towards Parameter Free Denoising. SoCG (2017)
Yang Zhang, Yusu Wang, Srinivasan Parthasarathy
Visualizing Attributed Graphs via Terrain Metaphor. KDD (2017)
Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris N. Metaxas, Leon Axel
Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration. IPMI (2017)
Chao Chen, Dimitris N. Metaxas, Yusu Wang, Pengxiang Wu
Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution). SoCG (2017)
Yang Zhang, Yusu Wang, Srinivasan Parthasarathy
Analyzing and Visualizing Scalar Fields on Graphs. CoRR (2017)
Srinivasan Parthasarathy, David Sivakoff, Minghao Tian, Yusu Wang
A quest to unravel the metric structure behind perturbed networks. CoRR (2017)
Tamal K. Dey, Facundo Mémoli, Yusu Wang
Topological Analysis of Nerves, Reeb Spaces, Mappers, and Multiscale Mappers. SoCG (2017)
Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data. ICML (2017)
Justin Eldridge, Mikhail Belkin, Yusu Wang
Unperturbed: spectral analysis beyond Davis-Kahan. CoRR (2017)
Tamal K. Dey, Zhe Dong, Yusu Wang
Parameter-free Topology Inference and Sparsification for Data on Manifolds. SODA (2017)
Srinivasan Parthasarathy, David Sivakoff, Minghao Tian, Yusu Wang
A Quest to Unravel the Metric Structure Behind Perturbed Networks. SoCG (2017)
Michal Adamaszek, Henry Adams, Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
Vietoris-Rips and Cech Complexes of Metric Gluings. CoRR (2017)
Tamal K. Dey, Jiayuan Wang, Yusu Wang
Improved Road Network Reconstruction using Discrete Morse Theory. SIGSPATIAL/GIS (2017)
Tamal K. Dey, Facundo Mémoli, Yusu Wang
Topological Analysis of Nerves, Reeb Spaces, Mappers, and Multiscale Mappers. CoRR (2017)
Tamal K. Dey, Dayu Shi, Yusu Wang
SimBa: An Efficient Tool for Approximating Rips-Filtration Persistence via Simplicial Batch-Collapse. ESA (2016)
Justin Eldridge, Mikhail Belkin, Yusu Wang
Graphons, mergeons, and so on! NIPS (2016)
Justin Eldridge, Mikhail Belkin, Yusu Wang
Graphons, mergeons, and so on! CoRR (2016)
Tamal K. Dey, Dayu Shi, Yusu Wang
SimBa: An Efficient Tool for Approximating Rips-filtration Persistence via Simplicial Batch-collapse. CoRR (2016)
Tamal K. Dey, Facundo Mémoli, Yusu Wang
Multiscale Mapper: Topological Summarization via Codomain Covers. SODA (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yusu Wang