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Chong You
Chong You
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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
3522016
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
2172016
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
1702017
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
1072019
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
1012017
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
962020
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
732018
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
512020
Geometric Conditions for Subspace-Sparse Recovery
C You, R Vidal
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015
482015
Stochastic sparse subspace clustering
Y Chen, CG Li, C You
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
392020
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
342018
Deep isometric learning for visual recognition
H Qi, C You, X Wang, Y Ma, J Malik
International Conference on Machine Learning, 7824-7835, 2020
312020
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
J Mach Learn Res 23 (114), 1-103, 2022
192022
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
192021
A critique of self-expressive deep subspace clustering
BD Haeffele, C You, R Vidal
arXiv preprint arXiv:2010.03697, 2020
192020
Is an affine constraint needed for affine subspace clustering?
C You, CG Li, DP Robinson, R Vidal
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
172019
Incremental learning via rate reduction
Z Wu, C Baek, C You, Y Ma
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
152021
Robust recovery via implicit bias of discrepant learning rates for double over-parameterization
C You, Z Zhu, Q Qu, Y Ma
Advances in Neural Information Processing Systems 33, 17733-17744, 2020
152020
A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis
H Jiang, DP Robinson, R Vidal, C You
Computational Optimization and Applications 70 (2), 395-418, 2018
132018
A divide-and-conquer framework for large-scale subspace clustering
C You, C Donnat, DP Robinson, R Vidal
2016 50th Asilomar Conference on Signals, Systems and Computers, 1014-1018, 2016
132016
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