General

I am fortunate to be advised by Lillian Lee.
Committee member: Jon Kleinberg, Robert Kleinberg .
Research Interests: Mostly I am interested in natural language processing and social interaction. Occasionally, I am also interested in machine learning. More broadly, I am interested in computer science in a social context.


Education

CORNELL UNIVERSITY, Ithaca, NY
PhD Student in Computer Science   (2010-)
TSINGHUA UNIVERSITY, Beijing, China
B. Eng in Computer Science: July 2010
B. Eng in Economics: July 2010 (Second Major)

Work/Research Experiences

2012.5-2012.8    Hamornizing place scores & instant foodie, Google, Mountain view, CA
2011.5-2011.8    Personalization based on text comprehensibility, Yahoo! Research, Santa Clara, CA
2010.4-2010.7    Sentiment analysis in Twitter incorporating social networks, MSRA NLP Group, Beijing, China
2009.8-2010.7    Social Networks and Arnetminer, KEG Group, Tsinghua University, Beijing, China
2009.7-2009.9    Trecvid Competition, in National Institute of Standards and Technology, Tsinghua University, Beijing China,

Teaching Experiences

2011.9-2011.12    Teaching assistant for CS 4780/5780 Machine Learning

A biased sample of publications

A full publication list is available.


Courses in Cornell

Analysis of Algorithms Statistical Principles Theory of Linear Models
Advanced Programming Language Information Networks Natural Language Processing and Social Interaction
Advanced Database Systems Algorithmic Game Theory Reasoning about Knwoledge
Applied Stochastic Processes

Honors and Awards

2012    Yahoo! Key Scientific Challenges
2011,2010    KDD Student Travel Award
2010    Best Undergraduate Thesis of Tsinghua University (Top 1 among ~160)
2010    Excellent Undergraduate of Tsinghua University (Top 58 among 3144)
2010    Excellent Undergraduate of Beijing
2009, 2008   National Scholarship (Top 3 among ~160)

Miscellaneous

I attended CAOSS (Computational and Online Social Science) 2012 in NYC. I wrote a brief summary containing the works covered in the workshop. [PDF]

I gave a survey on machine learning interpretability at MLDG on Aug 15. We had a very nice discussion. Here are the slides. [Slides]