Mingxuan Sun

Assistant Professor
Division of Computer Science and Engineering
Louisiana State University
Baton Rouge, LA 70803

Office: 3272S Patrick F. Taylor Hall
Email: msun 'AT' csc 'DOT' lsu 'DOT' edu
Phone: (225) 578-2882



About me

I am an Assistant Professor at Division of Computer Science and Engineering in the School of Electrical Engineering and Computer Science at Louisiana State University (LSU). I earned my Ph.D. degree in Computer Science from Georgia Institute of Technology in 2012, under the guidance of Guy Lebanon. 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. I was a Senior Scientist with playlist recommendation group, Pandora Media Inc from 2012 to 2015.

To prospective students:: I am looking for motivated graduate students and visiting scholars. If you are interested, please e-mail me at msun 'AT' csc 'DOT' lsu 'DOT' edu with your CV and transcripts.

Research

My research area is statistical machine learning, information retrieval and visualization. I am particularly interested in developing scalable algorithms to make use of massive data for prediction and recommendation tasks.

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

T. Wang, M. Sun, and K. Hu, Dilated Deep Residual Network for Image Denoising, The 29th International Conference on Tools with Artificial Intelligence (ICTAI), Boston, MA, Nov. 2017.

F. Zhang, X. Zhou, and M. Sun, Constrained VCG auction for spatial spectrum reuse with flexible channel evaluations, Proc. IEEE Global Commun. Conf. (GLOBECOM), Dec. 2017.

N. Wu, X. Zhou, and M. Sun, Secure transmission in heterogeneous networks: a two-level Stackelberg game approach, Proc. IEEE Global Commun. Conf. (GLOBECOM), Dec. 2017.

Mingxuan Sun, Changbin Li, and Hongyuan Zha, Inferring Private Demographics of New Users in Recommender Systems, The 20th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM), Miami, FL, Nov. 2017.

Mingxuan Sun, Guangyue Xu, Junjie Zhang, and Dae Wook Kim, Tracking You through DNS Traffic: Linking User Sessions by Clustering with Dirichlet Mixture Model, The 20th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM), Miami, FL, Nov. 2017.

Mingxuan Sun and Seungwong Yang, Personalization of Learning Paths in Online Communities of Creators, The 9th International Conference on Educational Data Mining, Raleigh, NC, June. 2016.

Komal Kapoor, Mingxuan Sun, Jaideep Srivastava, and Tao Ye, A Hazard Based Approach to User Return Time Prediction, The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York, NY, Aug. 2014.

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.

Co-invented with Gordon Parker Rios in Pandora, Increasing the Likelihood of Receiving Reedback for Content Items, U.S. Patent Pending.

Software

Co-developed the personalized recommendation algorithm toolkit PREA.

Other Projects

Research applications in visualization and computer vision.

Current Students

  • Jin Shang, PhD Student
  • Zihan Zhou, PhD Student
  • Zhongzhu Peng, MS Student

Alumni

  • Changbin Li, MS Student
  • Fei Li, MS Student

Teaching

  • CSC4402 Introduction to Database Management System (Spring 2017)
  • CSC4700 Predictive Analytics (Fall 2016)
  • CSC7402 Database Management System (Spring 2016)
  • CSC3102 Advanced Data Structures and Algorithm Analysis (Fall 2015)

Supporting Agencies