Chong You

Most-cited papers

Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
Chong You, Daniel P. Robinson, R. Vidal
2015Computer Vision and Pattern Recognition385 citations Open access
Semantic Scholar
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhi-Hui Zhu, Tian-Yu Ding, Jinxin Zhou, Xiao Li +3 more
2021Neural Information Processing Systems309 citations
Semantic Scholar
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering
Chong You, Chun-Guang Li, Daniel P. Robinson, R. Vidal
2016Computer Vision and Pattern Recognition275 citations Open access
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Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song +1 more
2020Neural Information Processing Systems268 citations
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Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework
Chun-Guang Li, Chong You, R. Vidal
2016IEEE Transactions on Image Processing235 citations Open access
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Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt +1 more
2020International Conference on Machine Learning225 citations
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Self-Supervised Convolutional Subspace Clustering Network
Jun-Jian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi +3 more
2019Computer Vision and Pattern Recognition172 citations Open access
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Robust Training under Label Noise by Over-parameterization
Sheng Liu, Zhi-Hui Zhu, Qing Qu, Chong You
2022International Conference on Machine Learning168 citations
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ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi +2 more
2021arXiv.org163 citations
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The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
Zong-xiao Li, Chong You, Srinadh Bhojanapalli, Daliang Li +7 more
2022International Conference on Learning Representations160 citations
Semantic Scholar
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Jin-Xin Zhou, Xiao Li, Tian Ding, Chong You +2 more
2022International Conference on Machine Learning136 citations Open access
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Provable Self-Representation Based Outlier Detection in a Union of Subspaces
Chong You, Daniel P. Robinson, R. Vidal
2017Computer Vision and Pattern Recognition125 citations Open access
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Are All Losses Created Equal: A Neural Collapse Perspective
Jin-Xin Zhou, Chong You, Xiao Li, Kangning Liu +3 more
2022Neural Information Processing Systems93 citations Open access
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Stochastic Sparse Subspace Clustering
Ying Chen, Chun-Guang Li, Chong You
2020Computer Vision and Pattern Recognition85 citations Open access
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Learning a Self-Expressive Network for Subspace Clustering
Shangzhi Zhang, Chong You, R. Vidal, Chun-Guang Li
2021Computer Vision and Pattern Recognition67 citations Open access
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Deep Isometric Learning for Visual Recognition
Haozhi Qi, Chong You, X. Wang, Yi Ma +1 more
2020International Conference on Machine Learning59 citations
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Generalized Neural Collapse for a Large Number of Classes
Jia-Chen Jiang, Jinxin Zhou, Peng Wang, Qing Qu +3 more
2023International Conference on Machine Learning56 citations Open access
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Incremental Learning via Rate Reduction
Ziyang Wu, Christina Baek, Chong You, Yi Ma
2020Computer Vision and Pattern Recognition53 citations Open access
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Geometric Conditions for Subspace-Sparse Recovery
Chong You, R. Vidal
2015International Conference on Machine Learning51 citations
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Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data
Chong You, Chi Li, Daniel P. Robinson, R. Vidal
2018European Conference on Computer Vision50 citations
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Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
Chong You, Zhi-Hui Zhu, Qing Qu, Yi Ma
2020Neural Information Processing Systems47 citations
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Revisiting Sparse Convolutional Model for Visual Recognition
Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong +5 more
2022Neural Information Processing Systems45 citations Open access
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A Critique of Self-Expressive Deep Subspace Clustering
B. Haeffele, Chong You, R. Vidal
2020International Conference on Learning Representations38 citations
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On Geometric Analysis of Affine Sparse Subspace Clustering
Chun-Guang Li, Chong You, R. Vidal
2018IEEE Journal on Selected Topics in Signal Processing37 citations Open access
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A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data
Chong You, Chi Li, Daniel P. Robinson, R. Vidal
2018European Conference on Computer Vision35 citations
Semantic Scholar
Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers
Zong-xiao Li, Chong You, Srinadh Bhojanapalli, Daliang Li +7 more
2022arXiv.org31 citations Open access
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Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You +3 more
2021Neural Information Processing Systems30 citations
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Is an Affine Constraint Needed for Affine Subspace Clustering?
Chong You, Chun-Guang Li, Daniel P. Robinson, R. Vidal
2019IEEE International Conference on Computer Vision29 citations Open access
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Deep Networks from the Principle of Rate Reduction
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi +2 more
2020arXiv.org22 citations
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Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces
Chong You, Chi Li, Daniel P. Robinson, R. Vidal
2020IEEE Transactions on Pattern Analysis and Machine Intelligence21 citations Open access
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Classifying and Comparing Approaches to Subspace Clustering with Missing Data
Connor Lane, Ron Boger, Chong You, M. Tsakiris +2 more
20192019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)21 citations
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A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis
Hao Jiang, Daniel P. Robinson, R. Vidal, Chong You
2018Computational optimization and applications19 citations
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Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis
Daniel P. Robinson, R. Vidal, Chong You
2019arXiv.org10 citations
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A divide-and-conquer framework for large-scale subspace clustering
Chong You, Claire Donnat, Daniel P. Robinson, R. Vidal
2016Asilomar Conference on Signals, Systems and Computers10 citations
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Recovery and Generalization in Over-Realized Dictionary Learning
Jeremias Sulam, Chong You, Zhi-Hui Zhu
2020Journal of machine learning research9 citations
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Sparse Subspace Clustering by Orthogonal Matching Pursuit
Chong You, R. Vidal
2015arXiv.org9 citations
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Improving age measurement in low- and middle-income countries through computer vision: A test in Senegal
S. Helleringer, Chong You, Laurence Fleury, Laetitia Douillot +4 more
2019Demographic Research8 citations Open access
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A Nullspace Property for Subspace-Preserving Recovery
M. Kaba, Chong You, Daniel P. Robinson, Enrique Mallada +1 more
2021International Conference on Machine Learning6 citations
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Subspace-Sparse Representation
Chong You, R. Vidal
2015arXiv.org6 citations
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Sparse Methods for Learning Multiple Subspaces from Large-scale, Corrupted and Imbalanced Data
Chong You
20184 citations
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Teacher Guided Training: An Efficient Framework for Knowledge Transfer
M. Zaheer, A. Rawat, Seungyeon Kim, Chong You +4 more
2022International Conference on Learning Representations1 citations Open access
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