Chong You

I am a sixth year PhD student in Electrical and Computer Engineering at Johns Hopkins University, under the supervision of Prof. Rene Vidal. I also work closely with Prof. Daniel Robinson.

Prior to coming to Hopkins, I got two B.S. degrees in electrical engineering as well as in applied mathematics in 2009 at Peking University. Then I got my M.S. degree in 2012 at Peking University, under the supervision of Prof. Bocheng Zhu.

Google Scholar CV

Contact: chong.you1987 at gmail.com

Research

I am currently interested in developing robust, efficient and provable algorithms for analyzing visual data with intrinsic low-rank structures. Specifically, we have designed algorithms to cluster data lying in a union of subspaces in large datasets (~1 million instances) with guaranteed correctness. Part of our work has been published at ICML’15, CVPR’16 and CVPR'17.

Generally, my research interests lie in the interplay of optimization, signal processing and statistics with applications to computer vision tasks. For the upcoming research, I am keen on developing practical technologies for understanding visual data.

Selected Publications

6. On Geometric Analysis of Affine Sparse Subspace Clustering

Chun-guang Li*, Chong You*, Rene Vidal

(* the first two authors contributed equally to this paper)

In IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2018

[Arxiv]

5. A Scalable Exemplar-based Subspace Clustering Algorithm for Class-Imbalanced Data

Chong You, Chi Li, Daniel P. Robinson, Rene Vidal

In European Conference in Computer Vision (ECCV), 2018

[pdf] [poster] [code]

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

Chong You, Daniel P. Robinson, Rene Vidal

In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2017 [Spotlight Presentation]

[arXiv] [poster] [talk] [code]

3. Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering

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

In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2016 [Oral Presentation]

[arXiv] [poster] [talk] [code]

2. Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit

Chong You, Daniel P. Robinson, Rene Vidal

In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2016 [Oral Presentation]

[arXiv] [poster] [talk] [code]

1. Geometric Conditions for Subspace-Sparse Recovery

Chong You, Rene Vidal

In International Conference in Machine Learning (ICML), 2015

[pdf] [poster]