Yusu Wang

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Tamal K. DeyProfessor Computer Science, Purdue UniversityVerified email at purdue.edu
Pankaj K. AgarwalDuke UniversityVerified email at cs.duke.edu
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon ScholarVerified email at ucsd.edu
Chen CaiUC San DiegoVerified email at ucsd.edu
Chao ChenStony Brook UniversityVerified email at stonybrook.edu
Sariel Har-PeledProfessor of Computer Science, UIUCVerified email at uiuc.edu
Facundo MémoliDepartment of Mathematics. The Ohio State University.Verified email at osu.edu
Zhengchao WanAssistant Professor of Mathematics, University of MissouriVerified email at missouri.edu
Xiaoyin GeGoogleVerified email at cse.ohio-state.edu
Fengtao FanGoogle LLCVerified email at osu.edu
jian sunProfessor, Tsinghua UniversityVerified email at math.tsinghua.edu.cn
Chuanjiang LuoGoogle Inc.Verified email at osu.edu
Partha P MitraCrick-Clay Professor of Biomathematics, Cold Spring Harbor LaboratoryVerified email at cshl.edu
Bei Wang Phillips (Publish Under Bei...University of UtahVerified email at sci.utah.edu
Pawas RanjanEngineering Manager, ConvivaVerified email at conviva.com
Herbert EdelsbrunnerProfessor of Mathematics, IST AustriaVerified email at ist.ac.at
Carola WenkProfessor of Computer Science, Tulane UniversityVerified email at tulane.edu
Radmila SazdanovicNC State UniveristyVerified email at ncsu.edu
Lori ZiegelmeierMacalester CollegeVerified email at macalester.edu
Anastasios SidiropoulosUniversity of Illinois at ChicagoVerified email at uic.edu

Yusu Wang

Professor, HDSI, Univ. California, San Diego.

Verified email at ucsd.edu - Homepage

Computational geometry computational topology data analysis using geometric and topological methods


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Discrete Laplace operator on meshed surfaces M Belkin, J Sun, Y Wang Proceedings of the twenty-fourth annual symposium on Computational geometry …, 2008	294	2008
A note on over-smoothing for graph neural networks C Cai, Y Wang arXiv preprint arXiv:2006.13318, 2020	276	2020
Computational topology for data analysis TK Dey, Y Wang Cambridge University Press, 2022	239	2022
Constructing Laplace Operator from Point Clouds in ℝ^d M Belkin, J Sun, Y Wang Proceedings of the twentieth annual ACM-SIAM symposium on Discrete …, 2009	239	2009
Fréchet distance for curves, revisited B Aronov, S Har-Peled, C Knauer, Y Wang, C Wenk Algorithms–ESA 2006: 14th Annual European Symposium, Zurich, Switzerland …, 2006	201	2006
Near-linear time approximation algorithms for curve simplification PK Agarwal, S Har-Peled, NH Mustafa, Y Wang Algorithmica 42, 203-219, 2005	191	2005
Extreme elevation on a 2-manifold PK Agarwal, H Edelsbrunner, J Harer, Y Wang Proceedings of the twentieth annual symposium on Computational geometry, 357-365, 2004	185	2004
Computing topological persistence for simplicial maps TK Dey, F Fan, Y Wang Proceedings of the thirtieth annual symposium on Computational geometry, 345-354, 2014	165	2014
Persistent heat signature for pose‐oblivious matching of incomplete models TK Dey, K Li, C Luo, P Ranjan, I Safa, Y Wang Computer Graphics Forum 29 (5), 1545-1554, 2010	152	2010
A topological regularizer for classifiers via persistent homology C Chen, X Ni, Q Bai, Y Wang The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	141	2019
Measuring distance between Reeb graphs U Bauer, X Ge, Y Wang Proceedings of the thirtieth annual symposium on Computational geometry, 464-473, 2014	141	2014
Exact algorithms for partial curve matching via the Fréchet distance K Buchin, M Buchin, Y Wang Proceedings of the twentieth annual ACM-SIAM symposium on Discrete …, 2009	136	2009
Data skeletonization via Reeb graphs X Ge, I Safa, M Belkin, Y Wang Advances in neural information processing systems 24, 2011	133	2011
Learning metrics for persistence-based summaries and applications for graph classification Q Zhao, Y Wang Advances in neural information processing systems 32, 2019	129	2019
A simple yet effective baseline for non-attributed graph classification C Cai, Y Wang arXiv preprint arXiv:1811.03508, 2018	118	2018
Unperturbed: spectral analysis beyond Davis-Kahan J Eldridge, M Belkin, Y Wang Algorithmic learning theory, 321-358, 2018	114	2018
Post-placement voltage island generation under performance requirement H Wu, IM Liu, MDF Wong, Y Wang ICCAD-2005. IEEE/ACM International Conference on Computer-Aided Design, 2005 …, 2005	96	2005
Topology-aware segmentation using discrete morse theory X Hu, Y Wang, L Fuxin, D Samaras, C Chen arXiv preprint arXiv:2103.09992, 2021	94	2021
An efficient computation of handle and tunnel loops via Reeb graphs TK Dey, F Fan, Y Wang ACM Transactions on Graphics (TOG) 32 (4), 1-10, 2013	90	2013
Graph coarsening with neural networks C Cai, D Wang, Y Wang arXiv preprint arXiv:2102.01350, 2021	87	2021

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