Chong You
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
2322016
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
1262016
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
1032017
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
592017
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
352018
Geometric Conditions for Subspace-Sparse Recovery
C You, R Vidal
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015
342015
Self-supervised convolutional subspace clustering network
J Zhang, CG Li, C You, X Qi, H Zhang, J Guo, Z Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
252019
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
192018
Rethinking bias-variance trade-off for generalization of neural networks
Z Yang, Y Yu, C You, J Steinhardt, Y Ma
arXiv preprint arXiv:2002.11328, 2020
182020
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
102018
Is an affine constraint needed for affine subspace clustering?
C You, CG Li, DP Robinson, R Vidal
Proceedings of the IEEE International Conference on Computer Vision, 9915-9924, 2019
72019
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
62016
Subspace-sparse representation
C You, R Vidal
arXiv preprint arXiv:1507.01307, 2015
52015
Deep isometric learning for visual recognition
H Qi, C You, X Wang, Y Ma, J Malik
International Conference on Machine Learning, 7824-7835, 2020
42020
Stochastic Sparse Subspace Clustering
Y Chen, CG Li, C You
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
42020
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, 2020
32020
Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis
DP Robinson, R Vidal, C You
arXiv preprint arXiv:1912.13091, 2019
32019
Sparse Methods for Learning Multiple Subspaces from Large-scale, Corrupted and Imbalanced Data
C You
Johns Hopkins University, 2018
32018
Deep networks from the principle of rate reduction
KHR Chan, Y Yu, C You, H Qi, J Wright, Y Ma
arXiv preprint arXiv:2010.14765, 2020
22020
Robust recovery via implicit bias of discrepant learning rates for double over-parameterization
C You, Z Zhu, Q Qu, Y Ma
arXiv preprint arXiv:2006.08857, 2020
22020
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Articles 1–20