Welcome to Mingjie Qian's Homepage

Grand Canyon

 
NEWS:
  1. libLAML (C++ Static Library for Linear Algebra and Machine Learning) was started.    Feb. 7th, 2014
  2. LAML (Linear Algebra and Machine Learning) released on SourceForge.    Dec. 17th, 2013
  3. I wrote a technical note on semi-continuity.    Sep. 20th, 2013
  4. MySearchEngine (a personalized search engine) released on SourceForge.    Apr. 24th, 2013
  5. JML (Java Library for Machine Learning) released on SourceForge.    Mar. 7th, 2013
  6. General Quadratic Programming by Primal-dual Interior-point Methods implemented in JML.    Feb. 27th, 2013
  7. Conditional Random Field implemented and included in JML.    Feb. 22ed, 2013
  8. I wrote a technical note on Conditional Random Fields, see my "Notes" page:)    Feb. 20th, 2013
  9. Maximum Entropy Modeling using L-BFGS implemented and incorporated in JML.    Feb. 18th, 2013
  10. Basic HMM (Hidden Markov Models) implemented and added in JML.    Feb. 15th, 2013
  11. I wrote a technical note on Hidden Markov Models, see my "Notes" page:)    Feb. 15th, 2013
  12. I wrote a crawler for RSS feed channels in Python: RSSFeedCrawler-Python.    Dec. 21st, 2012
  13. I wrote a crawler for RSS feed channels in Java: RSSFeedCrawler.    Dec. 18th, 2012
  14. I wrote a Java library for machine learning called JMLBLAS based on the jblas library.    Apr. 9th, 2012
  15. I built a pure Java library for machine learning called JML.    Mar. 9th, 2012
  16. I implemented a text data set pre-processing Java package TextProcessor which provides some frequently used text processing functions such as stemming, removing the stop-words, generating a term vocabulary, calculating the term-doc frequency matrix, and generating LDA and LIBSVM formatted data files. Basic topic mining models such as LDA and sparse NMF are also supportedSourceForge    Dec. 11th, 2011
  17. I co-implemented a UI Marketplace. This is a totally free platform for U of I students and staff for exchanging their goods and looking for services.    Dec. 1st, 2010
 
CONTACT
2113 Siebel Center, University of Illinois at Urbana-Champaign

RESEARCH INTERESTS
Machine learning, text mining, and information retrieval.
 
EDUCATION
 
Aug. 2010 ~ Present: University of Illinois at Urbana-Champaign 
Ph.D. student in Computer Science
Advisor: Professor Chengxiang Zhai
 
Sep. 2007 ~ July 2010: Tsinghua University
State Key Laboratory of Intelligent Technology and Systems
Tsinghua National Laboratory for Information Science and Technology
Master of Science in Control Science and Engineering, Dept. of Automation
Advisor: Professor Changshui Zhang
 
Aug. 2003 ~ July 2007: Tsinghua University
Bachelor of Engineering in Automation, Dept. of Automation

 

AWARDS
 
2010: Muroga Fellowship
2008: Second Prize, Tsinghua Idea Storm Contest 2008
2006: Tsinghua SK Fellowship for excellent student
2005: Tsinghua Cai Xiong Fellowship for excellent student
2004: Third Prize, Beijing College Student Physics Contest
2004: Tsinghua Third-class scholarship

 

PUBLICATIONS

Mingjie QianText-Image Topic Discovery for Web News Data. In Proceedings of the 36th European Conference on IR Research (ECIR 2014). Amsterdam, The Netherlands, 2014. [Paper] [Appendix] [Code]

Mingjie Qian and Chengxiang Zhai. Robust Unsupervised Feature Selection. In Proceedings of the 23rd International Joint Conference On Artificial Intelligence (IJCAI 2013). Beijing, China, 2013. [Paper[Code]

Mingjie Qian, Bo Chen, Hongzhi Xu, and Hongwei Qi. How About Utilizing Ordinal Information From the Distribution of Unlabeled Data? In Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM 2010). Toronto, Ontario, Canada, 2010. [Paper] [Slides] [Code]
 
Mingjie Qian, Feiping Nie, and Changshui Zhang. Probabilistic labeled Semi-supervised SVM. Workshop on Optimization Based Methods for Emerging Data Mining Problems, in Conjunction with the IEEE International Conference on Data Mining (ICDMW 2009). Miami, Florida, USA, 2009.
[Paper] [Slides] [Code]
 
Mingjie Qian, Feiping, Nie, and Changshui Zhang. Efficient Multi-class Unlabeled Constrained Semi-supervised SVM. In Proceedings of The 18th ACM Conference on Information and Knowledge Management (CIKM 2009). New York, NY, USA, 2009. [Paper] [Slides] [Code]

Bin Liu, Shuo Chen, Mingjie Qian, and Changshui Zhang. Sparse Norm-Regularized Reconstructive Coefficients Learning. IEEE International Conference on Data Mining series (ICDM 2009). Miami, FL, USA, 2009.

Shuo Chen, Bin Liu, Mingjie Qian, and Changshui Zhang. Kernel K-means Based Framework for Aggregate Outputs Classification. Workshop on Optimization Based Methods for Emerging Data Mining Problems, in Conjunction with the IEEE International Conference on Data Mining (ICDMW 2009). Miami, Florida, USA, 2009.

Shuo Chen, Bin Liu, Mingjie Qian, and Changshui Zhang. Instance- and Bag-Level Manifold Regularization for Aggregate Outputs Classification. In Proceedings of The 18th ACM Conference on Information and Knowledge Management (CIKM 2009). New York, NY, USA, 2009.