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Learning a Self-Expressive Network for Subspace Clustering


Oct 08, 2021
Shangzhi Zhang, Chong You, René Vidal, Chun-Guang Li

* 15 pages, 11 figures, 6 tables. The paper is the complete version of the CVPR2021's paper with a set of extra experimental results and a link to download the code 

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ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction


Jun 10, 2021
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma

* This paper integrates previous two manuscripts: arXiv:2006.08558 and arXiv:2010.14765, with significantly improved organization, presentation, and new results; V2 polishes writing and adds citation 

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A Geometric Analysis of Neural Collapse with Unconstrained Features


May 06, 2021
Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu

* 42 pages, 8 figures, 1 table; the first two authors contributed to this work equally 

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Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training


Mar 01, 2021
Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu

* SL and XL contributed equally to this work; 23 pages, 6 figures, 6 tables 

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Incremental Learning via Rate Reduction


Nov 30, 2020
Ziyang Wu, Christina Baek, Chong You, Yi Ma


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Deep Networks from the Principle of Rate Reduction


Oct 27, 2020
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma


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A Critique of Self-Expressive Deep Subspace Clustering


Oct 08, 2020
Benjamin D. Haeffele, Chong You, René Vidal


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Deep Isometric Learning for Visual Recognition


Jun 30, 2020
Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik

* ICML 2020; Code: https://github.com/HaozhiQi/ISONet 

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Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization


Jun 16, 2020
Chong You, Zhihui Zhu, Qing Qu, Yi Ma


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Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction


Jun 15, 2020
Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma


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Recovery and Generalization in Over-Realized Dictionary Learning


Jun 11, 2020
Jeremias Sulam, Chong You, Zhihui Zhu


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Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces


Jun 07, 2020
Chong You, Chi Li, Daniel P. Robinson, Rene Vidal

* In submission; conference version at ECCV'2018 

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Is an Affine Constraint Needed for Affine Subspace Clustering?


May 08, 2020
Chong You, Chun-Guang Li, Daniel P. Robinson, Rene Vidal

* ICCV 2019. Including proofs that are omitted in the conference version 

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Stochastic Sparse Subspace Clustering


May 04, 2020
Ying Chen, Chun-Guang Li, Chong You

* 16 pages, 9 figures and 8 tables. This work is accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020 

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Rethinking Bias-Variance Trade-off for Generalization of Neural Networks


Mar 21, 2020
Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma


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Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis


Dec 30, 2019
Daniel P. Robinson, Rene Vidal, Chong You

* 31 pages, 6 figures 

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Self-Supervised Convolutional Subspace Clustering Network


May 01, 2019
Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin

* 10 pages, 2 figures, and 5 tables. This paper has been accepted by CVPR2019 

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On Geometric Analysis of Affine Sparse Subspace Clustering


Sep 06, 2018
Chun-Guang Li, Chong You, René Vidal

* 15 pages, 6 figures, 2 tables. To appear on IEEE Journal of Selected Topics in Signal Processing 

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Provable Self-Representation Based Outlier Detection in a Union of Subspaces


Apr 12, 2017
Chong You, Daniel P. Robinson, René Vidal

* 16 pages. CVPR 2017 spotlight oral presentation 

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Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework


Apr 05, 2017
Chun-Guang Li, Chong You, René Vidal

* 14 pages, 6 figures 

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Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering


May 09, 2016
Chong You, Chun-Guang Li, Daniel P. Robinson, Rene Vidal

* 15 pages, 6 figures, accepted to CVPR 2016 for oral presentation 

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Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit


May 05, 2016
Chong You, Daniel P. Robinson, Rene Vidal

* 13 pages, 1 figure, 2 tables. Accepted to CVPR 2016 as an oral presentation 

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