Mingxuan Sun

 

  Email: msun3 'AT' gatech 'DOT' edu

 

 

About Me

 

I am a Senior Scientist at Pandora Media Inc., working in the playlist recommendation group. I received a Ph.D. in Computer Science in College of Computing at Georgia Institute of Technology in 2012. I received my Master's degree in Computer Science from University of Kentucky in 2006 and my Bachelor's degree in Computer Science and Engineering from Zhejiang University, China in 2004.

 

My advisor is Guy Lebanon. My research area is statistical machine learning and computer vision. I am particularly interested in developing scalable algorithms to make use of massive data for prediction and recommendation tasks.

 

Research Projects

Modeling Rankings in Recommendation Systems

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Visualizing Search Algorithm Dissimilarities

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Modeling and Visualizing 4D City

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Document Restoration

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Spatial-Time Light Field Rendering

 

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Active Lighting for Video Conferencing

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Publications

 

Journal Papers

 

Joonseok Lee, Mingxuan Sun, and Guy Lebanon, PREA: Personalized Recommendation Algorithms Toolkit, Journal of Machine Learning Research (JMLR) 13:2699-2703, 2012.

 

Mingxuan Sun, Guy Lebanon, and Paul Kidwell, Estimating Probabilities in Recommendation Systems, Journal of the Royal Statistical Society, Series C, 61(3):471-492, May 2012.

 

Joonseok Lee, Mingxuan Sun, and Guy Lebanon, A Comparative Study of Collaborative Filtering Algorithms, ArXiv:1205.3193, May 2012.

 

Mingxuan Sun, Zicheng Liu, Jingyu Qiu, Zhengyou Zhang, and Mike Sinclair, Active Lighting for Video Conferencing, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol.19, no.12, pp.1819-1829, Dec. 2009.

 

Michael S. Brown, Mingxuan Sun, Ruigang Yang, Lin Yun, George Landon, and Brent Seales, Restoring 2D Content from Distorted Documents, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol.29, no.11, pp.1904-1916, Nov. 2007.

 

Huamin Wang, Mingxuan Sun, and Ruigang Yang, Space-Time Light Field Rendering, IEEE Transactions on Visualization and Computer Graphics (TVCG), vol.13, no.4, pp.697-710, July 2007.

 

Conference Papers

 

Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, and Hongyuan Zha, Learning Multiple-question Decision Trees for Cold-start Recommendation, The 6th ACM International Conference on Web Search and Data Mining (WSDM), Rome, Italy, Feb. 2013.

 

Joonseok Lee, Mingxuan Sun, Seungyeon Kim, and Guy Lebanon, Automatic Feature Induction for Stagewise Collaborative Filtering, Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, NV, Dec. 2012.

 

Mingxuan Sun, Guy Lebanon, and Paul Kidwell, Estimating Probabilities in Recommendation Systems, The 14th International Conference on Artificial Intelligence and Statistics (AISTATS), 2011.

 

Mingxuan Sun, Guy Lebanon, and Kevyn Collins-Thompson, Visualizing Differences in Web Search Algorithms Using the Expected Weighted Hoeffding Distance, The 19th International World Wide Web Conference (WWW), 2010.

 

Mingxuan Sun, Guy Lebanon, and Kevyn Collins-Thompson, Visualizing Spatial Proximity of Search Algorithms, Advances in Neural Information Processing Systems (NIPS) Workshop on Learning with Ordering (poster abstract), 2009.

 

Mingxuan Sun, Grant Schindler, Greg Turk, and Frank Dellaert, Color Matching and Illumination Estimation for Urban Scenes, IEEE International Workshop on 3-D Digital Imaging and Modeling, in conjunction with ICCV, Tokyo, Japan, Oct. 2009.

 

Miao Liao, Mingxuan Sun, Ruigang Yang, and Zhengyou Zhang, Robust and Accurate Visual Echo Cancellation in a Full-duplex Projector-camera System, Computer Vision and Pattern Recognition (CVPR) Workshop on Projector-Camera Systems (PROCAMS), June 2006.

 

Mingxuan Sun, Ruigang Yang, Lin Yun, George Landon, Brent Seales, and Michael S. Brown, Geometric and Photometric Restoration of Distorted Documents, The 10th International Conference on Computer Vision (ICCV), Beijing, China, Oct. 2005.

 

Patent

Co-invented with Zicheng Liu, Jingyu Qiu, Zhengyou Zhang, and Mike Sinclair in Microsoft, Lighting Array Control, U.S. Patent 7869705, Jan 11, 2011.

 

Software

Co-developed the personalized recommendation algorithm toolkit PREA.

 

TA

CS4455: Video Game Design and Programming (Spring 2009)

CSx495: Computer Vision (Fall 2006)