Chong You

发表

Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering

Daniel P. Robinson, René Vidal, Chong You, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Improving age measurement in low- and middle-income countries through computer vision: A test in Senegal

R. Vidal, S. Helleringer, V. Delaunay, 2019, Demographic Research.

Teacher Guided Training: An Efficient Framework for Knowledge Transfer

R. Fergus, M. Zaheer, A. Rawat, 2022, ICLR.

Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers

Sashank J. Reddi, Felix X. Yu, Srinadh Bhojanapalli, 2022, ArXiv.

Robust Training under Label Noise by Over-parameterization

Zhihui Zhu, Qing Qu, Chong You, 2022, ICML.

Revisiting Sparse Convolutional Model for Visual Recognition

Shao-Lun Huang, Y. Ma, Chong You, 2022, NeurIPS.

A Geometric Analysis of Neural Collapse with Unconstrained Features pdf

Zhihui Zhu, Chong You, Qing Qu, 2021, NeurIPS.

Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training pdf

Zhihui Zhu, Chong You, Qing Qu, 2021, NeurIPS.

Recovery and Generalization in Over-Realized Dictionary Learning

Zhihui Zhu, Jeremias Sulam, Chong You, 2020, J. Mach. Learn. Res..

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

Chong You, Yaodong Yu, Yi Ma, 2020, NeurIPS.

Deep Networks from the Principle of Rate Reduction pdf

John Wright, Chong You, Yaodong Yu, 2020, ArXiv.

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

Zhihui Zhu, Chong You, Qing Qu, 2020, NeurIPS.

Classifying and Comparing Approaches to Subspace Clustering with Missing Data

Chong You, René Vidal, Manolis C. Tsakiris, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Sparse Methods for Learning Multiple Subspaces from Large-scale, Corrupted and Imbalanced Data

Chong You, Chong You, 2018 .

On Geometric Analysis of Affine Sparse Subspace Clustering

René Vidal, Chong You, Chun-Guang Li, 2018, IEEE Journal of Selected Topics in Signal Processing.

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

Daniel P. Robinson, René Vidal, Chong You, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

René Vidal, Chong You, Chun-Guang Li, 2016, IEEE Transactions on Image Processing.

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

Chong You, Yi Ma, Jacob Steinhardt, 2020, ICML.

Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data

Daniel P. Robinson, René Vidal, Chong You, 2018, European Conference on Computer Vision.

Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit

Daniel P. Robinson, René Vidal, Chong You, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Sparse Subspace Clustering by Orthogonal Matching Pursuit pdf

René Vidal, Chong You, R. Vidal, 2015, ArXiv.

Deep Isometric Learning for Visual Recognition

Chong You, Xiaolong Wang, Jitendra Malik, 2020, ICML.

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

John Wright, Chong You, Yaodong Yu, 2021, ArXiv.

Learning a Self-Expressive Network for Subspace Clustering

René Vidal, Chong You, Chun-Guang Li, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Stochastic Sparse Subspace Clustering

Chong You, Ying Chen, Chun-Guang Li, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Incremental Learning via Rate Reduction pdf

Chong You, Yi Ma, Ziyang Wu, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Self-Supervised Convolutional Subspace Clustering Network

Zhouchen Lin, Chong You, Honggang Zhang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Daniel P. Robinson, Chong You, Rene Vidal, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features

Zhihui Zhu, Qing Qu, Xiao Li, 2022, ICML.

Is an Affine Constraint Needed for Affine Subspace Clustering?

Daniel P. Robinson, Chong You, René Vidal, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Geometric Conditions for Subspace-Sparse Recovery

René Vidal, Chong You, R. Vidal, 2015, ICML.

The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers

Sashank J. Reddi, Srinadh Bhojanapalli, Ruiqi Guo, 2022, ICLR.

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

Daniel P. Robinson, Chong You, Rene Vidal, 2019, ArXiv.

A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data

Daniel P. Robinson, René Vidal, Chong You, 2018, ECCV.

Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit

Daniel P. Robinson, R. Vidal, Chong You, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Are All Losses Created Equal: A Neural Collapse Perspective

Zhihui Zhu, Qing Qu, Xiao Li, 2022, NeurIPS.