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ORCIDYusu Wang 0001
Person information
- affiliation: University of California, San Diego, CA, USA
- affiliation (former): Ohio State University, Columbus, OH, USA
- affiliation (PhD 2004): Duke University, Durham, NC, USA
Other persons with the same name
- Yusu Wang (aka: Yu-Su Wang) — disambiguation page
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2020 – today
- 2025
[j49]Samantha Chen, Yusu Wang:
Approximation algorithms for 1-Wasserstein distance between persistence diagrams. Comput. Geom. 129: 102190 (2025)- [i80]Zuoyu Yan, Qi Zhao, Ze Ye, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Enhancing Graph Representation Learning with Localized Topological Features. CoRR abs/2501.09178 (2025) - [i79]Robert R. Nerem, Samantha Chen, Sanjoy Dasgupta, Yusu Wang:
Graph neural networks extrapolate out-of-distribution for shortest paths. CoRR abs/2503.19173 (2025) - 2024
- [j48]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): 54-60 (2024) - [j47]Alexander Cloninger, Gal Mishne, Andreas Oslandsbotn, Sawyer Jack Robertson, Zhengchao Wan, Yusu Wang:
Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. SIAM J. Matrix Anal. Appl. 45(3): 1541-1572 (2024) - [j46]Puoya Tabaghi, Michael Khanzadeh, Yusu Wang, Siavash Mirarab:
Principal Component Analysis in Space Forms. IEEE Trans. Signal Process. 72: 4428-4443 (2024) - [c95]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: 13022-13030 - [c94]Samantha Chen, Puoya Tabaghi, Yusu Wang:
Learning Ultrametric Trees for Optimal Transport Regression. AAAI 2024: 20657-20665 - [c93]Cai Zhou, Rose Yu, Yusu Wang:
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers. AISTATS 2024: 2179-2187 - [c92]Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang:
DE-HNN: An effective neural model for Circuit Netlist representation. AISTATS 2024: 4258-4266 - [c91]Tristan Brugère, Zhengchao Wan, Yusu Wang:
Distances for Markov Chains, and Their Differentiation. ALT 2024: 282-336 - [c90]Puoya Tabaghi, Yusu Wang:
Universal Representation of Permutation-Invariant Functions on Vectors and Tensors. ALT 2024: 1134-1187 - [c89]Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang:
Comparing Graph Transformers via Positional Encodings. ICML 2024 - [c88]Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, 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: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024 - [i78]Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. 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 abs/2402.08871 (2024) - [i77]Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang:
Comparing Graph Transformers via Positional Encodings. CoRR abs/2402.14202 (2024) - [i76]Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang:
DE-HNN: An effective neural model for Circuit Netlist representation. CoRR abs/2404.00477 (2024) - [i75]Cai Zhou, Rose Yu, Yusu Wang:
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers. CoRR abs/2404.03380 (2024) - [i74]Robert R. Nerem, Zhishang Luo, Akbar Rafiey, Yusu Wang:
Differentiable Extensions with Rounding Guarantees for Combinatorial Optimization over Permutations. CoRR abs/2411.10707 (2024) - [i73]Gal Mishne, Zhengchao Wan, Qingsong Wang, Yusu Wang:
Elucidating Flow Matching ODE Dynamics with respect to Data Geometries. CoRR abs/2412.18730 (2024) - [i72]Pawel Dlotko, Dmitry Feichtner-Kozlov, Anastasios Stefanou, Yusu Wang, Jan F. Senge:
Applied and Combinatorial Topology (Dagstuhl Seminar 24092). Dagstuhl Reports 14(2): 206-239 (2024) - 2023
- [j45]Matthew Kahle, Minghao Tian, Yusu Wang:
On the clique number of noisy random geometric graphs. Random Struct. Algorithms 63(1): 242-279 (2023) - [c87]Xinyue Xia, Gal Mishne, Yusu Wang:
Implicit Graphon Neural Representation. AISTATS 2023: 10619-10634 - [c86]Lucas Magee, Yusu Wang:
Minimum Monotone Tree Decomposition of Density Functions Defined on Graphs. COCOA (1) 2023: 107-125 - [c85]Aziz Burak Gülen, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
A Generalization of the Persistent Laplacian to Simplicial Maps. SoCG 2023: 37:1-37:17 - [c84]Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang:
Understanding Oversquashing in GNNs through the Lens of Effective Resistance. ICML 2023: 2528-2547 - [c83]Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang:
On the Connection Between MPNN and Graph Transformer. ICML 2023: 3408-3430 - [c82]Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang:
The Numerical Stability of Hyperbolic Representation Learning. ICML 2023: 24925-24949 - [c81]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang:
Cycle Invariant Positional Encoding for Graph Representation Learning. LoG 2023: 4 - [c80]Samantha Chen, Yusu Wang:
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions. NeurIPS 2023 - [c79]Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs. TAG-ML 2023: 404-425 - [i71]Puoya Tabaghi, Michael Khanzadeh, Yusu Wang, Siavash Mirarab:
Principal Component Analysis in Space Forms. CoRR abs/2301.02750 (2023) - [i70]Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang:
On the Connection Between MPNN and Graph Transformer. CoRR abs/2301.11956 (2023) - [i69]Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs. CoRR abs/2302.00713 (2023) - [i68]Aziz Burak Gülen, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
A generalization of the persistent Laplacian to simplicial maps. CoRR abs/2302.03771 (2023) - [i67]Mitchell Black, Amir Nayyeri, Zhengchao Wan, Yusu Wang:
Understanding Oversquashing in GNNs through the Lens of Effective Resistance. CoRR abs/2302.06835 (2023) - [i66]Tristan Brugère, Zhengchao Wan, Yusu Wang:
Distances for Markov Chains, and Their Differentiation. CoRR abs/2302.08621 (2023) - [i65]Samantha Chen, Yusu Wang:
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions. CoRR abs/2308.00273 (2023) - [i64]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) - [i63]Lucas Magee, Yusu Wang:
Minimum Monotone Tree Decomposition of Density Functions Defined on Graphs. CoRR abs/2309.16045 (2023) - [i62]Puoya Tabaghi, Yusu Wang:
Universal Representation of Permutation-Invariant Functions on Vectors and Tensors. CoRR abs/2310.13829 (2023) - [i61]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang:
Cycle Invariant Positional Encoding for Graph Representation Learning. CoRR abs/2311.14333 (2023) - [i60]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 abs/2312.10589 (2023) - 2022
- [j44]Tamal K. Dey, Tianqi Li, Yusu Wang:
An Efficient Algorithm for 1-Dimensional (Persistent) Path Homology. Discret. Comput. Geom. 68(4): 1102-1132 (2022) - [j43]Elena Farahbakhsh Touli, Yusu Wang:
FPT-Algorithms for computing Gromov-Hausdorff and interleaving distances between trees. J. Comput. Geom. 13(1): 89-124 (2022) - [j42]Lucas Magee, Yusu Wang:
Graph skeletonization of high-dimensional point cloud data via topological method. J. Comput. Geom. 13(1): 429-470 (2022) - [j41]Facundo Mémoli, Zhengchao Wan, Yusu Wang:
Persistent Laplacians: Properties, Algorithms and Implications. SIAM J. Math. Data Sci. 4(2): 858-884 (2022) - [c78]Chen Cai, Yusu Wang:
Convergence of Invariant Graph Networks. ICML 2022: 2457-2484 - [c77]Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
Weisfeiler-Lehman Meets Gromov-Wasserstein. ICML 2022: 3371-3416 - [c76]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: 23213-23236 - [c75]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Neural Approximation of Graph Topological Features. NeurIPS 2022 - [i59]Chen Cai, Yusu Wang:
Convergence of Invariant Graph Networks. CoRR abs/2201.10129 (2022) - [i58]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Neural Approximation of Extended Persistent Homology on Graphs. CoRR abs/2201.12032 (2022) - [i57]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. CoRR abs/2201.12176 (2022) - [i56]Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
Weisfeiler-Lehman meets Gromov-Wasserstein. CoRR abs/2202.02495 (2022) - [i55]Yikai Zhang, Jiachen Yao, Yusu Wang, Chao Chen:
On the Convergence of Optimizing Persistent-Homology-Based Losses. CoRR abs/2206.02946 (2022) - [i54]Samantha Chen, Puoya Tabaghi, Yusu Wang:
Learning Ultrametric Trees for Optimal Transport Regression. CoRR abs/2210.12288 (2022) - [i53]Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang:
The Numerical Stability of Hyperbolic Representation Learning. CoRR abs/2211.00181 (2022) - [i52]Xinyue Xia, Gal Mishne, Yusu Wang:
Implicit Graphon Neural Representation. CoRR abs/2211.03329 (2022) - 2021
- [j40]Chen Cai, Woojin Kim, Facundo Mémoli, Yusu Wang:
Elder-Rule-Staircodes for Augmented Metric Spaces. SIAM J. Appl. Algebra Geom. 5(3): 417-454 (2021) - [c74]Chen Cai, Dingkang Wang, Yusu Wang:
Graph Coarsening with Neural Networks. ICLR 2021 - [c73]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. ICLR 2021 - [c72]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: 23023-23035 - [c71]Samantha Chen, Yusu Wang:
Approximation Algorithms for 1-Wasserstein Distance Between Persistence Diagrams. SEA 2021: 14:1-14:19 - [i51]Chen Cai, Dingkang Wang, Yusu Wang:
Graph Coarsening with Neural Networks. CoRR abs/2102.01350 (2021) - [i50]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. CoRR abs/2103.09992 (2021) - [i49]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 abs/2104.05608 (2021) - [i48]Samantha Chen, Yusu Wang:
Approximation algorithms for 1-Wasserstein distance between persistence diagrams. CoRR abs/2104.07710 (2021) - [i47]Lucas Magee, Yusu Wang:
Graph skeletonization of high-dimensional point cloud data via topological method. CoRR abs/2109.07606 (2021) - 2020
- [j39]Gill Barequet, Yusu Wang:
Guest Editors' Foreword. Discret. Comput. Geom. 64(4): 1123-1124 (2020) - [j38]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): 425-454 (2020) - [j37]Dingkang Wang, Yusu Wang:
An Improved Cost Function for Hierarchical Cluster Trees. J. Comput. Geom. 11(1): 283-331 (2020) - [j36]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): 585-594 (2020) - [j35]Erin W. Chambers, Brittany Terese Fasy, Yusu Wang, Carola Wenk:
Map-Matching Using Shortest Paths. ACM Trans. Spatial Algorithms Syst. 6(1): 6:1-6:17 (2020) - [j34]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): 832-842 (2020) - [c70]Qi Zhao, Ze Ye, Chao Chen, Yusu Wang:
Persistence Enhanced Graph Neural Network. AISTATS 2020: 2896-2906 - [c69]Chen Cai, Woojin Kim, Facundo Mémoli, Yusu Wang:
Elder-Rule-Staircodes for Augmented Metric Spaces. SoCG 2020: 26:1-26:17 - [c68]Tamal K. Dey, Tianqi Li, Yusu Wang:
An Efficient Algorithm for 1-Dimensional (Persistent) Path Homology. SoCG 2020: 36:1-36:15 - [i46]Chen Cai, Yusu Wang:
Understanding the Power of Persistence Pairing via Permutation Test. CoRR abs/2001.06058 (2020) - [i45]Tamal K. Dey, Tianqi Li, Yusu Wang:
An efficient algorithm for 1-dimensional (persistent) path homology. CoRR abs/2001.09549 (2020) - [i44]Chen Cai, Woojin Kim, Facundo Mémoli, Yusu Wang:
Elder-rule-staircodes for Augmented Metric Spaces. CoRR abs/2003.04523 (2020) - [i43]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 abs/2004.02755 (2020) - [i42]Chen Cai, Yusu Wang:
A Note on Over-Smoothing for Graph Neural Networks. CoRR abs/2006.13318 (2020) - [i41]Dingkang Wang, Yusu Wang:
Ordinally Consensus Subset over Multiple Metrics. CoRR abs/2011.05557 (2020) - [i40]Facundo Mémoli, Zhengchao Wan, Yusu Wang:
Persistent Laplacians: properties, algorithms and implications. CoRR abs/2012.02808 (2020)
2010 – 2019
- 2019
- [j33]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): 1.5:1-1.5:16 (2019) - [j32]Erin Wolf Chambers, Yusu Wang:
Measuring similarity between curves on 2-manifolds via homotopy area. J. Comput. Geom. 10(1): 96-126 (2019) - [j31]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): 477-499 (2019) - [c67]Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang:
A Topological Regularizer for Classifiers via Persistent Homology. AISTATS 2019: 2573-2582 - [c66]Elena Farahbakhsh Touli, Yusu Wang:
FPT-Algorithms for Computing Gromov-Hausdorff and Interleaving Distances Between Trees. ESA 2019: 83:1-83:14 - [c65]Tamal K. Dey, Jiayuan Wang, Yusu Wang:
Road Network Reconstruction from satellite images with Machine Learning Supported by Topological Methods. SIGSPATIAL/GIS 2019: 520-523 - [c64]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: 1312-1318 - [c63]Matthew Kahle, Minghao Tian, Yusu Wang:
Local Cliques in ER-Perturbed Random Geometric Graphs. ISAAC 2019: 29:1-29:22 - [c62]Qi Zhao, Yusu Wang:
Learning metrics for persistence-based summaries and applications for graph classification. NeurIPS 2019: 9855-9866 - [e1]Gill Barequet, Yusu Wang:
35th International Symposium on Computational Geometry, SoCG 2019, June 18-21, 2019, Portland, Oregon, USA. LIPIcs 129, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2019, ISBN 978-3-95977-104-7 [contents] - [i39]Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier:
Local Versus Global Distances for Zigzag Persistence Modules. CoRR abs/1903.08298 (2019) - [i38]Qi Zhao, Yusu Wang:
Learning metrics for persistence-based summaries and applications for graph classification. CoRR abs/1904.12189 (2019) - [i37]Ellen Gasparovic, Elizabeth Munch, Steve Oudot, Katharine Turner, Bei Wang, Yusu Wang:
Intrinsic Interleaving Distance for Merge Trees. CoRR abs/1908.00063 (2019) - [i36]Lin Yan, Yusu Wang, Elizabeth Munch, Ellen Gasparovic, Bei Wang:
A Structural Average of Labeled Merge Trees for Uncertainty Visualization. CoRR abs/1908.00113 (2019) - [i35]Tamal K. Dey, Jiayuan Wang, Yusu Wang:
Road Network Reconstruction from Satellite Images with Machine Learning Supported by Topological Methods. CoRR abs/1909.06728 (2019) - [i34]Minghao Tian, Yusu Wang:
A limit theorem for the 1st Betti number of layer-1 subgraphs in random graphs. CoRR abs/1911.00585 (2019) - 2018
- [j30]Chuanjiang Luo, Xiaoyin Ge, Yusu Wang:
Uniformization and Density Adaptation for Point Cloud Data Via Graph Laplacian. Comput. Graph. Forum 37(1): 325-337 (2018) - [j29]Mickaël Buchet, Tamal K. Dey, Jiayuan Wang, Yusu Wang:
Declutter and resample: Towards parameter free denoising. J. Comput. Geom. 9(2): 21-46 (2018) - [j28]Pankaj K. Agarwal, Kyle Fox, Abhinandan Nath, Anastasios Sidiropoulos, Yusu Wang:
Computing the Gromov-Hausdorff Distance for Metric Trees. ACM Trans. Algorithms 14(2): 24:1-24:20 (2018) - [c61]Justin Eldridge, Mikhail Belkin, Yusu Wang:
Unperturbed: spectral analysis beyond Davis-Kahan. ALT 2018: 321-358 - [c60]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: 3:1-3:15 - [c59]Tamal K. Dey, Jiayuan Wang, Yusu Wang:
Graph Reconstruction by Discrete Morse Theory. SoCG 2018: 31:1-31:15 - [c58]Erin W. Chambers, Brittany Terese Fasy, Yusu Wang, Carola Wenk:
Map-matching using shortest paths. IWISC 2018: 44-51 - [c57]Tamal K. Dey, Tianqi Li, Yusu Wang:
Efficient Algorithms for Computing a Minimal Homology Basis. LATIN 2018: 376-398 - [i33]Tamal K. Dey, Tianqi Li, Yusu Wang:
Efficient algorithms for computing a minimal homology basis. CoRR abs/1801.06759 (2018) - [i32]Tamal K. Dey, Jiayuan Wang, Yusu Wang:
Graph Reconstruction by Discrete Morse Theory. CoRR abs/1803.05093 (2018) - [i31]Suyi Wang, Xu Li, Partha P. Mitra, Yusu Wang:
Topological Skeletonization and Tree-Summarization of Neurons Using Discrete Morse Theory. CoRR abs/1805.04997 (2018) - [i30]Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang:
TopoReg: A Topological Regularizer for Classifiers. CoRR abs/1806.10714 (2018) - [i29]Matthew Kahle, Minghao Tian, Yusu Wang:
Local cliques in ER-perturbed random geometric graphs. CoRR abs/1810.08383 (2018) - [i28]Elena Farahbakhsh Touli, Yusu Wang:
FPT-algorithms for computing Gromov-Hausdorff and interleaving distances between trees. CoRR abs/1811.02425 (2018) - [i27]Chen Cai, Yusu Wang:
A simple yet effective baseline for non-attribute graph classification. CoRR abs/1811.03508 (2018) - [i26]Dingkang Wang, Yusu Wang:
An Improved Cost Function for Hierarchical Cluster Trees. CoRR abs/1812.02715 (2018) - [i25]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 abs/1812.05282 (2018) - 2017
- [c56]Mickaël Buchet, Tamal K. Dey, Jiayuan Wang, Yusu Wang:
Declutter and Resample: Towards Parameter Free Denoising. SoCG 2017: 23:1-23:16 - [c55]Tamal K. Dey, Facundo Mémoli, Yusu Wang:
Topological Analysis of Nerves, Reeb Spaces, Mappers, and Multiscale Mappers. SoCG 2017: 36:1-36:16 - [c54]Srinivasan Parthasarathy, David Sivakoff, Minghao Tian, Yusu Wang:
A Quest to Unravel the Metric Structure Behind Perturbed Networks. SoCG 2017: 53:1-53:16 - [c53]Chao Chen, Dimitris N. Metaxas, Yusu Wang, Pengxiang Wu:
Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution). SoCG 2017: 65:1-65:4 - [c52]Tamal K. Dey, Jiayuan Wang, Yusu Wang:
Improved Road Network Reconstruction using Discrete Morse Theory. SIGSPATIAL/GIS 2017: 58:1-58:4 - [c51]Yang Zhang, Yusu Wang, Srinivasan Parthasarathy:
Analyzing and Visualizing Scalar Fields on Graphs. ICDE 2017: 215-218 - [c50]Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen:
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data. ICML 2017: 2622-2631 - [c49]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: 80-92 - [c48]Yang Zhang, Yusu Wang, Srinivasan Parthasarathy:
Visualizing Attributed Graphs via Terrain Metaphor. KDD 2017: 1325-1334 - [c47]Anastasios Sidiropoulos, Dingkang Wang, Yusu Wang:
Metric embeddings with outliers. SODA 2017: 670-689 - [c46]Tamal K. Dey, Zhe Dong, Yusu Wang:
Parameter-free Topology Inference and Sparsification for Data on Manifolds. SODA 2017: 2733-2747 - [i24]Yang Zhang, Yusu Wang, Srinivasan Parthasarathy:
Analyzing and Visualizing Scalar Fields on Graphs. CoRR abs/1702.03825 (2017) - [i23]Srinivasan Parthasarathy, David Sivakoff, Minghao Tian, Yusu Wang:
A quest to unravel the metric structure behind perturbed networks. CoRR abs/1703.05475 (2017) - [i22]Tamal K. Dey, Facundo Mémoli, Yusu Wang:
Topological Analysis of Nerves, Reeb Spaces, Mappers, and Multiscale Mappers. CoRR abs/1703.07387 (2017) - [i21]Justin Eldridge, Mikhail Belkin, Yusu Wang:
Unperturbed: spectral analysis beyond Davis-Kahan. CoRR abs/1706.06516 (2017) - [i20]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 abs/1712.06224 (2017) - 2016
- [c45]Tamal K. Dey, Dayu Shi, Yusu Wang:
SimBa: An Efficient Tool for Approximating Rips-Filtration Persistence via Simplicial Batch-Collapse. ESA 2016: 35:1-35:16 - [c44]Justin Eldridge, Mikhail Belkin, Yusu Wang:
Graphons, mergeons, and so on! NIPS 2016: 2307-2315 - [c43]Tamal K. Dey, Facundo Mémoli, Yusu Wang:
Multiscale Mapper: Topological Summarization via Codomain Covers. SODA 2016: 997-1013 - [i19]Justin Eldridge, Mikhail Belkin, Yusu Wang:
Graphons, mergeons, and so on! CoRR abs/1607.01718 (2016) - [i18]Tamal K. Dey, Dayu Shi, Yusu Wang:
SimBa: An Efficient Tool for Approximating Rips-filtration Persistence via Simplicial Batch-collapse. CoRR abs/1609.07517 (2016) - 2015
- [j27]Tamal K. Dey, Fengtao Fan, Yusu Wang:
Graph induced complex on point data. Comput. Geom. 48(8): 575-588 (2015) - [c42]Justin Eldridge, Mikhail Belkin, Yusu Wang:
Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering. COLT 2015: 588-606 - [c41]Ulrich Bauer, Elizabeth Munch, Yusu Wang:
Strong Equivalence of the Interleaving and Functional Distortion Metrics for Reeb Graphs. SoCG 2015: 461-475 - [c40]Tamal K. Dey, Dayu Shi, Yusu Wang:
Comparing Graphs via Persistence Distortion. SoCG 2015: 491-506 - [c39]Pankaj K. Agarwal, Thomas Mølhave, Morten Revsbæk, Issam Safa, Yusu Wang, Jungwoo Yang:
Maintaining Contour Trees of Dynamic Terrains. SoCG 2015: 796-811 - [c38]Mickaël Buchet, Frédéric Chazal, Tamal K. Dey, Fengtao Fan, Steve Y. Oudot, Yusu Wang:
Topological Analysis of Scalar Fields with Outliers. SoCG 2015: 827-841 - [c37]Suyi Wang, Yusu Wang, Yanjie Li:
Efficient map reconstruction and augmentation via topological methods. SIGSPATIAL/GIS 2015: 25:1-25:10 - [c36]Pankaj K. Agarwal, Kyle Fox, Abhinandan Nath, Anastasios Sidiropoulos, Yusu Wang:
Computing the Gromov-Hausdorff Distance for Metric Trees. ISAAC 2015: 529-540 - [i17]Tamal K. Dey, Dayu Shi, Yusu Wang:
Comparing Graphs via Persistence Distortion. CoRR abs/1503.07414 (2015) - [i16]Tamal K. Dey, Facundo Mémoli, Yusu Wang:
Mutiscale Mapper: A Framework for Topological Summarization of Data and Maps. CoRR abs/1504.03763 (2015) - [i15]Boris Aronov, Sariel Har-Peled, Christian Knauer, Yusu Wang, Carola Wenk:
Fréchet Distance for Curves, Revisited. CoRR abs/1504.07685 (2015) - [i14]Tamal K. Dey, Zhe Dong, Yusu Wang:
Parameter-free Topology Inference and Sparsification for Data on Manifolds. CoRR abs/1505.06462 (2015) - [i13]Anastasios Sidiropoulos, Yusu Wang:
Metric embedding with outliers. CoRR abs/1508.03600 (2015) - [i12]Pankaj K. Agarwal, Kyle Fox, Abhinandan Nath, Anastasios Sidiropoulos, Yusu Wang:
Computing the Gromov-Hausdorff Distance for Metric Trees. CoRR abs/1509.05751 (2015) - [i11]Mickaël Buchet, Tamal K. Dey, Jiayuan Wang, Yusu Wang:
Declutter and Resample: Towards parameter free denoising. CoRR abs/1511.05479 (2015) - 2014
- [c35]Tamal K. Dey, Fengtao Fan, Yusu Wang:
Dimension Detection with Local Homology. CCCG 2014 - [c34]Tamal K. Dey, Fengtao Fan, Yusu Wang:
Computing Topological Persistence for Simplicial Maps. SoCG 2014: 345 - [c33]Ulrich Bauer, Xiaoyin Ge, Yusu Wang:
Measuring Distance between Reeb Graphs. SoCG 2014: 464 - [c32]Suyi Wang, Yusu Wang, Rephael Wenger:
The JS-graphs of Join and Split Trees. SoCG 2014: 539 - [c31]Qichao Que, Mikhail Belkin, Yusu Wang:
Learning with Fredholm Kernels. NIPS 2014: 2951-2959 - [i10]Tamal K. Dey, Fengtao Fan, Yusu Wang:
Dimension Detection with Local Homology. CoRR abs/1405.3534 (2014) - [i9]Mickaël Buchet, Frédéric Chazal, Tamal K. Dey, Fengtao Fan, Steve Y. Oudot, Yusu Wang:
Topological analysis of scalar fields with outliers. CoRR abs/1412.1680 (2014) - [i8]Ulrich Bauer, Elizabeth Munch, Yusu Wang:
Strong Equivalence of the Interleaving and Functional Distortion Metrics for Reeb Graphs. CoRR abs/1412.6646 (2014) - 2013
- [j26]Harish Doraiswamy, Nithin Shivashankar, Vijay Natarajan, Yusu Wang:
Topological saliency. Comput. Graph. 37(7): 787-799 (2013) - [j25]Tamal K. Dey, Yusu Wang:
Reeb Graphs: Approximation and Persistence. Discret. Comput. Geom. 49(1): 46-73 (2013) - [j24]Tamal K. Dey, Fengtao Fan, Yusu Wang:
An efficient computation of handle and tunnel loops via Reeb graphs. ACM Trans. Graph. 32(4): 32:1-32:10 (2013) - [j23]Jiating Chen, Xiaoyin Ge, Li-Yi Wei, Bin Wang, Yusu Wang, Huamin Wang, Yun Fei, Kang-Lai Qian, Jun-Hai Yong, Wenping Wang:
Bilateral blue noise sampling. ACM Trans. Graph. 32(6): 216:1-216:11 (2013) - [c30]Tamal Krishna Dey, Fengtao Fan, Yusu Wang:
Graph induced complex on point data. SoCG 2013: 107-116 - [c29]Erin Wolf Chambers, Yusu Wang:
Measuring similarity between curves on 2-manifolds via homotopy area. SoCG 2013: 425-434 - [c28]Tamal K. Dey, Pawas Ranjan, Yusu Wang:
Weighted Graph Laplace Operator under Topological Noise. SODA 2013: 197-208 - [i7]Erin W. Chambers, Yusu Wang:
Measuring Similarity Between Curves on 2-Manifolds via Homotopy Area. CoRR abs/1303.7427 (2013) - [i6]Tamal K. Dey, Fengtao Fan, Yusu Wang:
Graph Induced Complex on Point Data. CoRR abs/1304.0662 (2013) - [i5]Ulrich Bauer, Xiaoyin Ge, Yusu Wang:
Measuring Distance between Reeb Graphs. CoRR abs/1307.2839 (2013) - 2012
- [j22]Chuanjiang Luo, Issam Safa, Yusu Wang:
Feature-aware streamline generation of planar vector fields via topological methods. Comput. Graph. 36(6): 754-766 (2012) - [j21]Tamal Krishna Dey, Xiaoyin Ge, Qichao Que, Issam Safa, L. Wang, Yusu Wang:
Feature-Preserving Reconstruction of Singular Surfaces. Comput. Graph. Forum 31(5): 1787-1796 (2012) - [j20]Hong Sun, Ahmet Sacan, Hakan Ferhatosmanoglu, Yusu Wang:
Smolign: A Spatial Motifs-Based Protein Multiple Structural Alignment Method. IEEE ACM Trans. Comput. Biol. Bioinform. 9(1): 249-261 (2012) - [j19]Tamal K. Dey, Pawas Ranjan, Yusu Wang:
Eigen deformation of 3D models. Vis. Comput. 28(6-8): 585-595 (2012) - [c27]Oleksiy Busaryev, Sergio Cabello, Chao Chen, Tamal K. Dey, Yusu Wang:
Annotating Simplices with a Homology Basis and Its Applications. SWAT 2012: 189-200 - [c26]Mikhail Belkin, Qichao Que, Yusu Wang, Xueyuan Zhou:
Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries. COLT 2012: 36.1-36.26 - [i4]Tamal K. Dey, Fengtao Fan, Yusu Wang:
Computing Topological Persistence for Simplicial Maps. CoRR abs/1208.5018 (2012) - [i3]Mikhail Belkin, Qichao Que, Yusu Wang, Xueyuan Zhou:
Graph Laplacians on Singular Manifolds: Toward understanding complex spaces: graph Laplacians on manifolds with singularities and boundaries. CoRR abs/1211.6727 (2012) - 2011
- [c25]Tamal K. Dey, Yusu Wang:
Reeb graphs: approximation and persistence. SCG 2011: 226-235 - [c24]Xiaoyin Ge, Issam Safa, Mikhail Belkin, Yusu Wang:
Data Skeletonization via Reeb Graphs. NIPS 2011: 837-845 - [i2]Oleksiy Busaryev, Sergio Cabello, Chao Chen, Tamal K. Dey, Yusu Wang:
Annotating Simplices with a Homology Basis and Its Applications. CoRR abs/1107.3793 (2011) - 2010
- [j18]William Harvey, Yusu Wang:
Topological Landscape Ensembles for Visualization of Scalar-Valued Functions. Comput. Graph. Forum 29(3): 993-1002 (2010) - [j17]Tamal K. Dey, K. Li, Chuanjiang Luo, Pawas Ranjan, Issam Safa, Yusu Wang:
Persistent Heat Signature for Pose-oblivious Matching of Incomplete Models. Comput. Graph. Forum 29(5): 1545-1554 (2010) - [j16]Oleksiy Busaryev, Tamal K. Dey, Yusu Wang:
Tracking a Generator by Persistence. Discret. Math. Algorithms Appl. 2(4): 539-552 (2010) - [j15]Pankaj K. Agarwal, Sariel Har-Peled, Micha Sharir, Yusu Wang:
Hausdorff distance under translation for points and balls. ACM Trans. Algorithms 6(4): 71:1-71:26 (2010) - [c23]Oleksiy Busaryev, Tamal K. Dey, Yusu Wang:
Tracking a Generator by Persistence. COCOON 2010: 278-287 - [c22]Tamal K. Dey, Jian Sun, Yusu Wang:
Approximating loops in a shortest homology basis from point data. SCG 2010: 166-175 - [c21]William Harvey, Yusu Wang, Rephael Wenger:
A randomized O(m log m) time algorithm for computing Reeb graphs of arbitrary simplicial complexes. SCG 2010: 267-276 - [c20]Tamal K. Dey, Pawas Ranjan, Yusu Wang:
Convergence, Stability, and Discrete Approximation of Laplace Spectra. SODA 2010: 650-663
2000 – 2009
- 2009
- [j14]Chuanjiang Luo, Issam Safa, Yusu Wang:
Approximating Gradients for Meshes and Point Clouds via Diffusion Metric. Comput. Graph. Forum 28(5): 1497-1508 (2009) - [j13]Yusu Wang:
Relations between Two Common Types of Rectangular Tilings. Int. J. Comput. Geom. Appl. 19(2): 161-172 (2009) - [c19]Chuanjiang Luo, Jian Sun, Yusu Wang:
Integral estimation from point cloud in d-dimensional space: a geometric view. SCG 2009: 116-124 - [c18]Kevin Buchin, Maike Buchin, Yusu Wang:
Exact algorithms for partial curve matching via the Fréchet distance. SODA 2009: 645-654 - [c17]Mikhail Belkin, Jian Sun, Yusu Wang:
Constructing Laplace operator from point clouds in Rd. SODA 2009: 1031-1040 - [i1]Tamal K. Dey, Jian Sun, Yusu Wang:
Approximating Loops in a Shortest Homology Basis from Point Data. CoRR abs/0909.5654 (2009) - 2008
- [j12]Hong Sun, Hakan Ferhatosmanoglu, Motonori Ota, Yusu Wang:
An enhanced partial order curve comparison algorithm and its application to analyzing protein folding trajectories. BMC Bioinform. 9 (2008) - [j11]Yusu Wang:
Approximating nearest neighbor among triangles in convex position. Inf. Process. Lett. 108(6): 379-385 (2008) - [c16]Mikhail Belkin, Jian Sun, Yusu Wang:
Discrete laplace operator on meshed surfaces. SCG 2008: 278-287 - [c15]Zizhan Zheng, Kai-Wei Fan, Prasun Sinha, Yusu Wang:
Distributed roadmap aided routing in sensor networks. MASS 2008: 347-352 - [p1]Vijay Natarajan, Patrice Koehl, Yusu Wang, Bernd Hamann:
Visual Analysis of Biomolecular Surfaces. Visualization in Medicine and Life Sciences 2008: 237-255 - 2007
- [j10]Leonidas J. Guibas, Yusu Wang:
Toward Unsupervised Segmentation of Semi-Rigid Low-Resolution Molecular Surfaces. Algorithmica 48(4): 433-438 (2007) - [j9]Ahmet Sacan, Ozgur Ozturk, Hakan Ferhatosmanoglu, Yusu Wang:
LFM-Pro: a tool for detecting significant local structural sites in proteins. Bioinform. 23(6): 709-716 (2007) - [j8]Pankaj K. Agarwal, Nabil H. Mustafa, Yusu Wang:
Fast Molecular Shape Matching Using Contact Maps. J. Comput. Biol. 14(2): 131-143 (2007) - [j7]Huaizhi Wu, Martin D. F. Wong, I-Min Liu, Yusu Wang:
Placement-Proximity-Based Voltage Island Grouping Under Performance Requirement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 26(7): 1256-1269 (2007) - 2006
- [j6]Vijay Natarajan, Yusu Wang, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann:
Segmenting molecular surfaces. Comput. Aided Geom. Des. 23(6): 495-509 (2006) - [j5]Pankaj K. Agarwal, Herbert Edelsbrunner, John Harer, Yusu Wang:
Extreme Elevation on a 2-Manifold. Discret. Comput. Geom. 36(4): 553-572 (2006) - [j4]Pankaj K. Agarwal, Yusu Wang, Hai Yu:
A Two-Dimensional Kinetic Triangulation with Near-Quadratic Topological Changes. Discret. Comput. Geom. 36(4): 573-592 (2006) - [c14]Stefan Funke, Leonidas J. Guibas, An Thanh Nguyen, Yusu Wang:
Distance-Sensitive Information Brokerage in Sensor Networks. DCOSS 2006: 234-251 - [c13]Boris Aronov, Sariel Har-Peled, Christian Knauer, Yusu Wang, Carola Wenk:
Fréchet Distance for Curves, Revisited. ESA 2006: 52-63 - [c12]Yusu Wang, Leonidas J. Guibas:
Towards Unsupervised Segmentation of Semi-rigid Low-Resolution Molecular Surfaces. GMP 2006: 129-142 - [c11]Yusu Wang:
Relations Between Two Common Types of Rectangular Tilings. ISAAC 2006: 193-202 - 2005
- [j3]Pankaj K. Agarwal, Sariel Har-Peled, Nabil H. Mustafa, Yusu Wang:
Near-Linear Time Approximation Algorithms for Curve Simplification. Algorithmica 42(3-4): 203-219 (2005) - [c10]Huaizhi Wu, I-Min Liu, Martin D. F. Wong, Yusu Wang:
Post-placement voltage island generation under performance requirement. ICCAD 2005: 309-316 - [c9]Yusu Wang, Pankaj K. Agarwal, P. Brown, Herbert Edelsbrunner, Johannes Rudolph:
Coarse and Reliable Geometric Alignment for Protein Docking. Pacific Symposium on Biocomputing 2005: 66-77 - [c8]Pankaj K. Agarwal, Yusu Wang, Peng Yin:
Lower bound for sparse Euclidean spanners. SODA 2005: 670-671 - 2004
- [j2]Pankaj K. Agarwal, Herbert Edelsbrunner, Yusu Wang:
Computing the Writhing Number of a Polygonal Knot. Discret. Comput. Geom. 32(1): 37-53 (2004) - [j1]Sariel Har-Peled, Yusu Wang:
Shape Fitting with Outliers. SIAM J. Comput. 33(2): 269-285 (2004) - [c7]Pankaj K. Agarwal, Yusu Wang, Hai Yu:
A 2D kinetic triangulation with near-quadratic topological changes. SCG 2004: 180-189 - [c6]Pankaj K. Agarwal, Herbert Edelsbrunner, John Harer, Yusu Wang:
Extreme elevation on a 2-manifold. SCG 2004: 357-365 - 2003
- [c5]Sariel Har-Peled, Yusu Wang:
Shape fitting with outliers. SCG 2003: 29-38 - [c4]Pankaj K. Agarwal, Sariel Har-Peled, Micha Sharir, Yusu Wang:
Hausdorff distance under translation for points and balls. SCG 2003: 282-291 - 2002
- [c3]Pankaj K. Agarwal, Sariel Har-Peled, Nabil H. Mustafa, Yusu Wang:
Near-Linear Time Approximation Algorithms for Curve Simplification. ESA 2002: 29-41 - [c2]Pankaj K. Agarwal, Herbert Edelsbrunner, Yusu Wang:
Computing the writhing number of a polygonal knot. SODA 2002: 791-799 - 2001
- [c1]Yusu Wang, Pankaj K. Agarwal, Sariel Har-Peled:
An On-line Occlusio-Culling Algorithm for FastWalkthrough in Urban Areas. Eurographics (Short Presentations) 2001
Coauthor Index
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