Welcome to Mingjie Qian's Homepage

NEWS:

SequenceLabeling is open sourced on GitHub. March 6th, 2018
DependencyParsing is open sourced on GitHub. March 4th, 2018
I wrote a note on Adaptive Online Learning, see my "Notes" page. Aug. 18th, 2016
I wrote a note on Limited Memory BFGS, see my "Notes" page. Aug. 15th, 2016
I wrote a note on RNN, LSTM, and GRU, see my "Notes" page. Aug. 7th, 2016
I wrote a note on Expectation Maximization, see my "Notes" page. July 12th, 2016
JML released on Github. Dec. 4th, 2015
LAML released on Github. Dec. 4th, 2015
libLAML (C++ Static Library for Linear Algebra and Machine Learning) released on Github. Dec. 3rd, 2015
LAML (Linear Algebra and Machine Learning) released on SourceForge. Dec. 17th, 2013
I wrote a technical note on semi-continuity. Sep. 20th, 2013
1. MySearchEngine (a personalized search engine) released on SourceForge. Apr. 24th, 2013
2. JML (Java Library for Machine Learning) released on SourceForge. Mar. 7th, 2013
3. General Quadratic Programming by Primal-dual Interior-point Methods implemented in JML. Feb. 27th, 2013
Conditional Random Field implemented and included in JML. Feb. 22ed, 2013
I wrote a technical note on Conditional Random Fields, see my "Notes" page. Feb. 20th, 2013
Maximum Entropy Modeling using L-BFGS implemented and incorporated in JML. Feb. 18th, 2013
Basic HMM (Hidden Markov Models) implemented and added in JML. Feb. 15th, 2013
I wrote a technical note on Hidden Markov Models, see my "Notes" page. Feb. 15th, 2013
1. I wrote a crawler for RSS feed channels in Python: RSSFeedCrawler-Python. Dec. 21st, 2012
I wrote a crawler for RSS feed channels in Java: RSSFeedCrawler. Dec. 18th, 2012
I wrote a Java library for machine learning called JMLBLAS based on the jblas library. Apr. 9th, 2012
I built a pure Java library for machine learning called JML. Mar. 9th, 2012
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 supported. SourceForge Dec. 11th, 2011
1. 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

I am a senior applied scientist at Microsoft in the relevance and AI team, Microsoft AI and Research Group. I was a former research scientist in personalization and search science team at Yahoo Research/Labs.

CONTACT

1020 Enterprise Way

Sunnyvale, CA 94089

qianmingjie@gmail.com

RESEARCH INTERESTS

Machine learning, natural language processing, data mining, and information retrieval.

EDUCATION

University of Illinois at Urbana-Champaign

Aug. 2010 - Aug. 2015

Ph.D. in Computer Science

Advisor: Professor Chengxiang Zhai

Tsinghua University