Paper citations: [Google Scholar] [Semantic Scholar] [arXiv Personal Page]

Reports

Subgradient Descent Learns Orthogonal Dictionaries. [arXiv]
    Yu Bai, Qijia Jiang, Ju Sun. 2018.

Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy. [arXiv]
    Sky Cheung, John Shin, Yenson Lau, Zhengyu Chen, Ju Sun, Yuqian Zhang, John Wright, and Abhay Pasupathy. Submitted to Nature Communications, 2018.

Journals

High-Speed Channel Modeling with Machine Learning Methods for Signal Integrity Analysis. [Draft][Paper]
    Tianjian Lu, Ju Sun, Ken Wu, Zhiping Yang. IEEE Trans. Electromagnetic Compatibility, 60(6):1957–1964, 2018.

A Geometrical Analysis of Phase Retrieval. [extended abstract][arXiv] [Paper]
    Ju Sun, Qing Qu, John Wright. Foundations of Computational Mathematics, 18(5):1131–1198, 2018.

Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture. [summary][Arxiv] [Paper][Codes][Arxiv-Full Report]
    Ju Sun, Qing Qu, John Wright. IEEE Trans. Information Theory, 63(2): 853 - 884, 2017.

Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method. [summary][Arxiv] [Paper] [Codes][Arxiv-Full Report]
    Ju Sun, Qing Qu, John Wright. IEEE Trans. Information Theory, 63(2): 885 – 914, 2017.

Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Direction. [arXiv] [Paper] [Codes]
    Qing Qu, Ju Sun, John Wright. IEEE Trans. Information Theory, 62(10): 5855 - 5880, 2016.

Efficient Point-to-Subspace Query in $\ell^1$ with Application to Robust Object Instance Recognition. [arXiv] [paper]
    Ju Sun, Yuqian Zhang, John Wright. SIAM J. Imaging Sciences (SIIMS), 7(4):2105 - 2138, 2014.

Robust Recovery of Subspace Structures by Low-Rank Representation. [arXiv] [paper] [Codes1]
    Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, and Yi Ma. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 35(1):171 - 184, 2013.

Conferences and Workshops

When Nonsmoothness Meets Nonconvexity.
    Yu Bai, Qijia Jiang, Ju Sun, Emmanuel Candès.

  • Invited talk at Allerton Conference on Communication, Control, and Computing 2018. [Slides]

1D Phase Retrieval and Spectral Factorization. [draft] [paper] [slides]
    David A. Barmherzig, Ju Sun. OSA Imaging and Applied Optics Congress 2018.

On Block-Reference Coherent Diffraction Imaging. [draft] [paper] [slides]
    David A. Barmherzig, Ju Sun, T.J. Lane, and Po-Nan Li. OSA Imaging and Applied Optics Congress 2018.

A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval. [arXiv][Codes]
    David Barmherzig, Ju Sun. NIPS Workshop on Optimization for Machine Learning, 2017.

A Geometrical Analysis of Phase Retrieval. [extended abstract][arXiv]
    Ju Sun, Qing Qu, John Wright. International Symposium on Information Theory (ISIT), 2016.

When Are Nonconvex Problems Not Scary?. [arXiv] [poster]
    Ju Sun, Qing Qu, John Wright. NIPS Workshop on Non-convex Optimization for Machine Learning: Theory and Practice, 2015.

Complete Dictionary Recovery over the Sphere. [summary] [Extended Abstract] [Arxiv]
    Ju Sun, Qing Qu, John Wright.

  • Short Abstract in International Conference on Sampling Theory and Applications (SampTA), 2015.
  • Short Abstract in Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS) [Best Student Paper Award], 2015.
  • Extended Abstract in International Conference on Machine Learning (ICML), 2015.

Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Direction. [arXiv] [paper] [poster] [Codes]
    Qing Qu, Ju Sun, John Wright. Advances in Neural Information Processing Systems (NIPS), 2014.

Efficient Point-to-Subspace Query in $\ell^1$: Theory and Applications in Computer Vision [arXiv].
    Ju Sun, Yuqian Zhang, John Wright. NIPS Workshop on Big Learning, 2012.

Efficient Point-to-Subspace Query in $\ell^1$ with Application to Robust Face Recognition.[arXiv][Poster][Video Highlight]
    Ju Sun, Yuqian Zhang, John Wright. European Conference on Computer Vision (ECCV), 2012.

Closed-Form Solutions to a Category of Nuclear Norm Minimization Problems. [arXiv]
    Guangcan Liu, Ju Sun, Shuicheng Yan. NIPS Workshop on Low-Rank Methods for Large-Scale Machine Learning, 2010.

Robust Low-Rank Subspace Segmentation with Semi-Definite Guarantees. [arXiv] [Slides]
    Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong-Fah Cheong. ICDM Workshop on Optimization Based Methods for Emerging Data Mining Problems (OEDM), 2010.

Randomized Locality Sensitive Vocabularies for Bag-of-Features Model. [PDF]
    Yadong Mu, Ju Sun, Shuicheng Yan, Loong-Fah Cheong. European Conference on Computer Vision (ECCV), 2010.

Activity Recognition Using Dense Long-Duration Trajectories. [PDF] [Slides]
    Ju Sun, Yadong Mu, Shuicheng Yan, Loong-Fah Cheong. International Conference on Multimedia & Expo (ICME), 2010 (Invited paper to special session).

Hierarchical Spatio-Temporal Context Modeling for Action Recognition. [PDF]
    Ju Sun, Xiao Wu, Shuicheng Yan, Loong-Fah Cheong, Tat-Seng Chua, Jintao Li. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009 (Oral).

3D Ordinal Constraint in Spatial Configuration for Robust Scene Recognition. [PDF]
    Ching-Lik Teo, Shimiao Li, Loong-Fah Cheong, Ju Sun. IEEE International Conference on Pattern Recognition (ICPR), 2008.

Dissertation

When Are Nonconvex Optimization Problems Not Scary? [PDF] [Official Version]

Unpublished Reports

Selective Image Super-Resolution. [arXiv]
    Ju Sun, Qiang Chen, Shuicheng Yan, Loong-Fah Cheong. Mar 2010.

  1. Code maintained by Dr. Guangcan Liu