Beyond the Fourier Transform: A Machine Learning Approach to Microscopy Analysis.
Sky Cheung, Yenson Lau, Zhengyu Chen, Ju Sun, Yuqian Zhang, John Wright, and Abhay Pasupathy. Submitted to Nature Communications, 2017.
High-Speed Channel Modeling with Machine Learning Methods for Signal Integrity Analysis. [Draft][Paper] Tianjian Lu, Ju Sun, Ken Wu, Zhiping Yang. To appear in IEEE Trans. Electromagnetic Compatibility.
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.
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
A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval. [arXiv]
David Barmherzig, Ju Sun. NIPS Workshop on Optimization for Machine Learning, 2017.
- 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.
Selective Image Super-Resolution. [arXiv]
Ju Sun, Qiang Chen, Shuicheng Yan, Loong-Fah Cheong. Mar 2010.