
Machine Learning Researcher at Motorola
Greater Chicago Area

Machine Learning Researcher at Motorola
Greater Chicago Area
My research work has been focusing on structured supervised learning, especially sequential supervised learning, such as Conditional Random Fields (CRFs). I am particularly interested in two research problems there. One is feature induction, and the other is the scalability to domains with large label sets.
Proficient in C/C++, Java, Matlab, Unix shell scripts
Extensive software development experience under Unix/Linux and
Windows
Solid background in machine learning, mathematics, statistics,
familiar with machine learning package Weka and statistical packages
S-PLUS and R
Proficient in LaTeX, Microsoft Office, and other common productivity packages for Windows and Linux
Experience with high performance computing cluster, MapReduce
Fluent in Chinese (native language) and English
(Public Company; MOT; Telecommunications industry)
August 2009 — Present (4 months)
Machine Learning Researcher in Applied Research and Technology Center (ARTC), Motorola
(Educational Institution; Higher Education industry)
September 2003 — July 2009 (5 years 11 months)
(Educational Institution; 1001-5000 employees; Higher Education industry)
September 2007 — June 2008 (10 months)
(Public Company; 10,001 or more employees; GOOG; Internet industry)
July 2007 — October 2007 (4 months)
PhD , Computer Science , 2003 — 2009
BE , Computer Science and Engineering , 1998 — 2003
Table tennis, Badminton
* Outstanding Student Scholarship at USTC, P.R.China. 1998, 2001, 2002
* Hua Wei Scholarship at USTC, P.R.China. 2000
* A third prize in "Hua Wei Business Plan Contest" at USTC, P.R.China. 2000
* Zhang Zongzhi Sci-Tech Scholarship at USTC, P.R.China. 1999
* First-Grade prizes in National Mathematics Contest for high school students, P.R.China. 1996, 1997