Chong You

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Rene VidalRachleff University Professor, University of Pennsylvania; Amazon Scholar; Chief Scientist, NORCEVerified email at seas.upenn.edu
Daniel P. RobinsonAssociate Professor, Lehigh UniversityVerified email at lehigh.edu
Chun-Guang LiAssociate Professor, Beijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Zhihui ZhuAssistant Professor, Ohio State UniversityVerified email at osu.edu
Yi Ma (马毅)Director of School of Computing and Data Science, HKU; Professor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
Qing QuAssistant Professor, Dept. of EECS, University of MichiganVerified email at umich.edu
Yaodong YuUniversity of California, BerkeleyVerified email at berkeley.edu
Sanjiv KumarGoogle Fellow, VP, Google ResearchVerified email at google.com
Xiao Li (李虓)Ph.D. candidate at University of MichiganVerified email at umich.edu
Jinxin ZhouOhio State UniversityVerified email at osu.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at google.com
Kwan Ho Ryan ChanUniversity of PennsylvaniaVerified email at seas.upenn.edu
Haozhi QiUC BerkeleyVerified email at berkeley.edu
Sheng LiuStanford UniversityVerified email at stanford.edu
Ankit Singh RawatResearch Scientist, GoogleVerified email at google.com
Sashank J. ReddiResearch Scientist, Google ResearchVerified email at cs.cmu.edu
Felix Xinnan YuSr. Staff Research Scientist, Google New YorkVerified email at google.com
Tianyu Ding, Ph.D.Principal Researcher, Microsoft | Johns Hopkins UniversityVerified email at microsoft.com
Jeremias SulamAssistant Professor, BME, Johns Hopkins UniversityVerified email at jhu.edu
Daliang LiAnthropicVerified email at anthropic.com

Chong You

Google

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Machine Learning Computer Vision Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Scalable sparse subspace clustering by orthogonal matching pursuit C You, D Robinson, R Vidal Proceedings of the IEEE conference on computer vision and pattern …, 2016	438	2016
Oracle based active set algorithm for scalable elastic net subspace clustering C You, CG Li, DP Robinson, R Vidal Proceedings of the IEEE conference on computer vision and pattern …, 2016	294	2016
Structured sparse subspace clustering: A joint affinity learning and subspace clustering framework CG Li, C You, R Vidal IEEE Transactions on Image Processing 26 (6), 2988-3001, 2017	236	2017
Rethinking bias-variance trade-off for generalization of neural networks Z Yang, Y Yu, C You, J Steinhardt, Y Ma International Conference on Machine Learning, 10767-10777, 2020	216	2020
Learning diverse and discriminative representations via the principle of maximal coding rate reduction Y Yu, KHR Chan, C You, C Song, Y Ma Advances in neural information processing systems 33, 9422-9434, 2020	196	2020
Self-supervised convolutional subspace clustering network J Zhang, CG Li, C You, X Qi, H Zhang, J Guo, Z Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	182	2019
A geometric analysis of neural collapse with unconstrained features Z Zhu, T Ding, J Zhou, X Li, C You, J Sulam, Q Qu Advances in Neural Information Processing Systems 34, 29820-29834, 2021	165	2021
ReduNet: A white-box deep network from the principle of maximizing rate reduction KHR Chan, Y Yu, C You, H Qi, J Wright, Y Ma Journal of machine learning research 23 (114), 1-103, 2022	137*	2022
Provable self-representation based outlier detection in a union of subspaces C You, DP Robinson, R Vidal Proceedings of the IEEE conference on computer vision and pattern …, 2017	136	2017
Robust training under label noise by over-parameterization S Liu, Z Zhu, Q Qu, C You International Conference on Machine Learning, 14153-14172, 2022	108	2022
Scalable exemplar-based subspace clustering on class-imbalanced data C You, C Li, DP Robinson, R Vidal Proceedings of the European Conference on Computer Vision (ECCV), 67-83, 2018	94	2018
The lazy neuron phenomenon: On emergence of activation sparsity in transformers Z Li, C You, S Bhojanapalli, D Li, AS Rawat, SJ Reddi, K Ye, F Chern, ... arXiv preprint arXiv:2210.06313, 2022	85*	2022
On the optimization landscape of neural collapse under mse loss: Global optimality with unconstrained features J Zhou, X Li, T Ding, C You, Q Qu, Z Zhu International Conference on Machine Learning, 27179-27202, 2022	85	2022
Stochastic sparse subspace clustering Y Chen, CG Li, C You Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	76	2020
Learning a self-expressive network for subspace clustering S Zhang, C You, R Vidal, CG Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	62	2021
Geometric Conditions for Subspace-Sparse Recovery C You, R Vidal Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015	60	2015
Deep isometric learning for visual recognition H Qi, C You, X Wang, Y Ma, J Malik International conference on machine learning, 7824-7835, 2020	57	2020
Are all losses created equal: A neural collapse perspective J Zhou, C You, X Li, K Liu, S Liu, Q Qu, Z Zhu Advances in Neural Information Processing Systems 35, 31697-31710, 2022	50	2022
On geometric analysis of affine sparse subspace clustering CG Li, C You, R Vidal IEEE Journal of Selected Topics in Signal Processing 12 (6), 1520-1533, 2018	39	2018
A critique of self-expressive deep subspace clustering BD Haeffele, C You, R Vidal arXiv preprint arXiv:2010.03697, 2020	36	2020

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