# Welcome

I’m Ju Sun, a Math+X postdoctoral scholar working with Professor Emmanuel Candes at Stanford University. Prior to this, I obtained my PhD degree from Electrical Engineering, Columbia University in 2016, working with Professor John Wright. I work at the intersection of computer vision, machine learning, numerical optimization, signal/image processing, information theory, and compressive sensing, focusing on modeling, harnessing, and computing with structures in massive data, with provable guarantees and practical algorithms.

[**New**] As of year 2017/2018, I’m on the academic job market. See my [CV] and [Research Statement].

### Contact

- Email: sunju@stanford.edu sunjunus@gmail.com
- Office: 380 U, Sloan Hall
- Webpage: http://sunju.org
- Mail address:

Stanford University, Mathematics

450 Serra Mall, Building 380

Stanford, CA 94305

### What’s New

#### Upcoming

- SIAM Conference on Imaging Science 2018 at Bologna, Italy (Jun 05 - 08, 2018)
- SIAM Conference on Applied Linear Algebra (SIAM-ALA18) at Hong Kong Baptist University, Hong Kong, PRC (May 04 - 08, 2018)
- 2017 Asilomar Conference on Signals, Systems, and Computers at Asilomar Grounds in Pacific Grove, CA (Oct 29 - Nov 01, 2017)

#### Past

- Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees at IMA, Minnesota U. (Aug 14 - 18, 2017)
- Talk at Data Science Reading Group Seminar at ECE, Iowa State U. (Jul 28, 2017)
- 2017 Meeting of the International Linear Algebra Society at Iowa State U. (Jul 24 - 28, 2017)
- Math + Stat + X: Conference on the Occasion of Dave Donoho’s 60th at Stanford U. (Jun 23 - 25, 2017)
- Talk at ISS seminar, SEAS, Harvard U. (Jun 15, 2017).
- Phase Retrieval: Theory, Application and Algorithms (HKUST-ICERM) at ICERM, Brown U. (Jun 5 - 18, 2017).
- SIAM Conference on Optimization at Vancouver, Bristish Columbia, Canada. (May 22 - 25, 2017).
- Representation Learning Workshop at Simons Institute for the Theory of Computing, UC Berkeley (Mar 27 -31, 2017).
- Synergies between Machine Learning and Physical Models at IPAM, UCLA. (Dec 5 - 8, 2016)
- Start postdoc life @ Stanford U.! (Sep 06, 2016)

#### Columbia Years (2011 - 2016)

- Conference on Learning Theory 2016 at Columbia U. (Jun 24 - 26, 2016)
- International Conference on Machine Learning 2016 at New York City (Jun 19 - 21, 2016)
- Talk at ISIT, ShanghaiTech University, Shanghai, China (Jun 2, 2016)
**Thesis released**! [PDF] (May 06, 2016)- Thesis defense! Special thanks to my advisor Professor John Wright, and my friend and collaborator Qing Qu! [Slides] (Apr 26, 2016)
**Code release**: accompanying codes for the paper A Geometric Analysis of Phase Retrieval is released here (Apr 18, 2016)- Talk at Prof. Qiang Du’s group seminar (Mar 10, 2016)
- Talk at Microsoft NYC (Feb 23, 2016)
**Paper release**: Full version of the paper A Geometric Analysis of Phase Retrieval on arXiv. (Feb 22, 2016)- Graduation Day at ITA Workshop 2016 at Scripps Seaside Forum, La Jolla (Jan 31 - Feb 05, 2016)
- Talk at Prof. Emmanuel Candes’ group meeting [Slides] (Feb 01, 2016)
- Visit Johns Hopkins University (Jan 20 - 21, 2016)
- My good friend and close collaborator, Mr. Qing Qu, receives the prestigious Microsoft PhD Research Fellowship for our work on provable nonconvex optimization! (Jan 15, 2016)
- IDeAS Seminar Talk at Princeton University (Dec 16, 2015)
- NIPS 2015 at Montreal, Quebec, Canada (Dec 07 - Dec 12, 2015)
**Paper release**: The expository paper When Are Nonconvex Problems Not Scary? gives a concise description of the structured nonconvex problems seen in eigen-decomposition, complete dictionary recovery, generalized phase retrieval, ICA and tensor decomposition. (Oct 20, 2015)**Award**: Our paper, Complete Dictionary Recovery over the Sphere, receives best student paper award from SPARS 2015. (July 07, 2015)- SPARS 2015 at Cambridge, UK (Jul 6 - 9, 2015)
- ShanghaiTech Symposium on Data Science (SSDS) 2015 at Shanghai, China (Jun 23 - 26, 2015)
**Paper release**: full version of the paper Complete Dictionary Recovery over the Sphere on arXiv. (Apr 27, 2015)**Code release**: accompanying codes for the paper Complete Dictionary Recovery over the Sphere is released here (Apr 26, 2015)**Code release**: accompanying codes for the paper Finding a sparse vector in a subspace: Linear sparsity using alternating directions is released here (Apr 26, 2015)- Information Theory and Concentration Phenomena at IMA, University of Minnesota (Apr 13 - 17, 2015)
- DTC Seminar Talk at University of Minnesota (Apr 16, 2015)
- 9th Annual Machine Learning Symposium at The New York Academy of Sciences (Mar 13, 2015)
- Talk at statistics student seminar at Columbia U (Mar 11, 2015)
- Full version of the paper Finding a sparse vector in a subspace: Linear sparsity using alternating directions on arXiv. (Dec 15, 2014)
- NIPS 2014 at Montreal, Quebec, Canada (Dec 08 - Dec 13, 2014)
- Thesis proposal [Slides] (Nov 21, 2014)
- ICERM workshop on Approximation, Integration, and Optimization at Brown University (Sep 29 - Oct 03, 2014)
- Our paper on finding sparse vector in a subspace accepted by NIPS 2014. Final manuscript is forthcoming! (Sep 09, 2014)
- We will work with physicists to develop tools for extracting basic motifs in microscopy images in the coming year. [See here and the proposal] (July 03 2014)
- Migrating most part of CU website to here, featuring a personalized domain! (Jan 24, 2014)
- Journal version of point-to-subspace query in \(\ell^1\) submitted [arXiv]. (Sep 07, 2013)
- Receiving third renewal of scholarship from WFPF, big thanks to WFPF! (Oct 16, 2013)
- Attending Princeton Minicourse on Spectral Methods. (June 20 - 21, 2013)
- Attending ECCV12 at Florence, Italy! (Oct 07 - 13, 2012)
- Receiving scholarship renewal from the Wei Family Private Foundation. Heartfelt thanks to WFPF! (Sep 06, 2012)
- Attending MMDS’12 and presenting one poster on point-to-subspace query in \(\ell^1\). (Jul 10, 2012)
- One paper on point-to-subspace query in \(\ell^1\) accepted by ECCV’12 [arXiv]. (Jun 25, 2012)
- Receiving official scholarship cheque from the Wei Family Private Foundation. (Sep 02, 2011)
- Starting PhD life @ EE, Columbia and working with Prof. John Wright again. (Sep 01, 2011)