Yuqian Zhang

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John WrightElectrical Engineering, Columbia UniversityVerified email at columbia.edu
Han-Wen KuoColumbia UniversityVerified email at columbia.edu
Qing QuAssistant Professor, Dept. of EECS, University of MichiganVerified email at umich.edu
Abhay PasupathyProfessor of Physics, Columbia University and Group Leader, Brookhaven National LaboratoryVerified email at columbia.edu
Yudong ChenAssociate Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Ju SunAssistant Professor, Computer Science & Engineering, University of Minnesota at Twin CitiesVerified email at umn.edu
Cun MuDirector of Machine Learning, Walmart Global TechVerified email at walmart.com
Yonina EldarMath and Computer Science, WeizmannVerified email at weizmann.ac.il
Zhihui ZhuAssistant Professor, Ohio State UniversityVerified email at osu.edu
Yuexiang ZhaiUC BerkeleyVerified email at berkeley.edu
Donald GoldfarbColumbia UniversityVerified email at columbia.edu
Madeleine UdellAssistant Professor, Management Science and Engineering, Stanford UniversityVerified email at stanford.edu
Jicong FanThe Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Xin BingAssistant Professor, Department of Statistical Sciences, University of TorontoVerified email at utoronto.ca
Lijun DingUniversity of California San DiegoVerified email at ucsd.edu

Yuqian Zhang

Assistant Professor, Rutgers University

Verified email at rutgers.edu - Homepage

Machine Learning Computer Vision Data Science Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Scalable robust matrix recovery: Frank--Wolfe meets proximal methods C Mu, Y Zhang, J Wright, D Goldfarb SIAM Journal on Scientific Computing 38 (5), A3291-A3317, 2016	82	2016
On the global geometry of sphere-constrained sparse blind deconvolution Y Zhang, Y Lau, H Kuo, S Cheung, A Pasupathy, J Wright Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	81	2017
Structured local optima in sparse blind deconvolution Y Zhang, HW Kuo, J Wright IEEE Transactions on Information Theory 66 (1), 419-452, 2019	74*	2019
From symmetry to geometry: tractable nonconvex problems Y Zhang, Q Qu, J Wright arXiv preprint arXiv:2007.06753, 2020	61	2020
Convolutional phase retrieval via gradient descent Q Qu, Y Zhang, YC Eldar, J Wright IEEE Transactions on Information Theory 66 (3), 1785-1821, 2019	57*	2019
Geometry and symmetry in short-and-sparse deconvolution HW Kuo, Y Zhang, Y Lau, J Wright SIAM Journal on Mathematics of Data Science 2 (1), 216–245, 2020	50	2020
Geometric analysis of nonconvex optimization landscapes for overcomplete learning Q Qu, Y Zhai, X Li, Y Zhang, Z Zhu International Conference on Learning Representations, 2020, 2019	47*	2019
Short-and-sparse deconvolution --- a geometric approach Y Lau, Q Qu, HW Kuo, P Zhou, Y Zhang, J Wright arXiv preprint arXiv:1908.10959, 2019	34	2019
Polynomial matrix completion for missing data imputation and transductive learning J Fan, Y Zhang, M Udell Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3842-3849, 2020	33	2020
Dictionary learning in Fourier-transform scanning tunneling spectroscopy SC Cheung, JY Shin, Y Lau, Z Chen, J Sun, Y Zhang, MA Müller, ... Nature communications 11 (1), 1081, 2020	20*	2020
Structures of Spurious Local Minima in k-Means W Qian, Y Zhang, Y Chen IEEE Transactions on Information Theory 68 (1), 395-422, 2021	17	2021
Global convergence of least squares EM for demixing two log-concave densities W Qian, Y Zhang, Y Chen Neural Information Processing Systems Conference (NeurIPS), 2019, 2019	15	2019
Toward guaranteed illumination models for non-convex objects Y Zhang, C Mu, HW Kuo, J Wright Proceedings of the IEEE International Conference on Computer Vision, 937-944, 2013	15	2013
Efficient point-to-subspace query in with application to robust object instance recognition J Sun, Y Zhang, J Wright SIAM Journal on Imaging Sciences, 2014 7 (4), 2105–2138, 2014	4*	2014
A Geometric Approach to -means J Hong, W Qian, Y Chen, Y Zhang arXiv preprint arXiv:2201.04822, 2022	3	2022
Unique sparse decomposition of low rank matrices D Jin, X Bing, Y Zhang Advances in Neural Information Processing Systems, 2021, 2021	3	2021
Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle L Ding, Y Zhang, Y Chen arXiv preprint arXiv:2008.13777, 2020	1	2020
Low-complexity modeling for visual data: representations and algorithms Y Zhang Columbia University, 2018		2018

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