I am a postdoctoral researcher at Microsoft Research. My research focuses on designing practical machine learning techniques for large and complex data and applying them to real world applications. My work spans the areas of Machine Learning and Natural Language Processing.
- email: kw AT kwchang DOT net
- office: 1 Memorial Drive, Cambridge, 02142
- 02.16.2016, We will organize a workshop on Structured Prediction for Natural Language Processing at EMNLP 16.
- 02.13.2016, Checkout our tutorial on Structured Prediction at AAAI16.
- 07.02.2015, I moved to Boston and join Microsoft Research as a postdoc.
- 05.01.2015, I will join the Computer Science Department at University of Virginia as an Assistant Professor in the Fall of 2016.
- C.L and Jane W. S. Liu Award, University of Illinois, 2013
- Yahoo! Key Scientific Challenges Program Award, 2011
- KDD Best Paper Award, 2010
Softwares & Demos
- Illinois-SL: Package for learning structured prediction models.
- Liblinear: A library for large-scale linear classification.
- Vowpal Wabbit: An online learning system (I contributed to several L2S applications)
- Coreference Resolution Demo: Identify noun phrases that refer to the same entity.
- MSR Continuous Space Text Representations: Measure the degree of relation of two words. (I contributed to MRLSA).
- Package for learning with limited memory: Learning a linear classifier when data cannot fit in memory.
Experience and Education (Curriculum Vitae)
- Post-doc, Microsoft Research New England 2015-2016
- Ph.D., Department of Computer Science, University of Illinois at Urbana-Champaign 2010--2015
- M.S. (Computer Science), National Taiwan University, 2007--2009
- B.S. (Computer Science), B.S. (Electrical Engineering), National Taiwan University, 2003--2007
- Summer intern, Microsoft Research New York (2014), Microsoft Research Redmond (ML group, 2013), Microsoft Could and Information Services Lab (2012), Google Taiwan (2008)