I am fortunate to be advised by Lillian Lee.
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.
A full publication list is available.
Ed H. Chi,
Alexander J. Smola,
Instant Foodie: Predicting Expert Ratings From Grassroots.
In Proceedings of 22nd ACM International Conference on Information and
Knowledge Management (CIKM'2013)
Daniel M. Romero,
On the Interplay between Social and Topical Structure.
In Proceedings of 7th International AAAI Conference on Weblogs and Social Media (ICWSM'2013)
Hedge detection as a lens on framing in the GMO debates: A position paper
[Link for details]
To Each His Own: Personalized Content Selection based on Text Comprehensibility.
In Proceedings of the Fifth ACM International Conference on Web Search and Data Mining (WSDM'2012)
Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, and Ping Li. User-level sentiment analysis incorporating social networks. In Proceedings of the Sixteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2011). (poster)
Shaomei Wu, Chenhao Tan, Jon Kleinberg, Michael Macy.
Does Bad News Go Away Faster?
In Proceedings of Fifth International AAAI Conference on Weblogs and Social Media (ICWSM'2011) (short paper)
Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, and Fengjiao Wang. Social Action Tracking via Noise Tolerant Time-varying Factor Graphs. In Proceedings of the Sixteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2010). pp. 1049-1058.
[PDF] [Slides][Data][Video][Link for details (back when I was at Tsinghua)]
I attended CAOSS (Computational and Online Social Science) 2012 in NYC. I wrote a brief summary containing the works covered in the workshop.
I gave a survey on machine learning interpretability at MLDG on Aug 15. We had a very nice discussion. Here are the slides.