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.
A full publication list is available.
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Chenhao Tan,
Ed H. Chi,
David Huffaker,
Gueorgi Kossinets,
Alexander J. Smola,
Instant Foodie: Predicting Expert Ratings From Grassroots.
In Proceedings of 22nd ACM International Conference on Information and
Knowledge Management (CIKM'2013)
[PDF]
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Daniel M. Romero,
Chenhao Tan,
Johan Ugander,
On the Interplay between Social and Topical Structure.
In Proceedings of 7th International AAAI Conference on Weblogs and Social Media (ICWSM'2013)
[PDF]
[Slides]
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Eunsol Choi,
Chenhao Tan,
Lillian Lee,
Cristian Danescu-Niculescu-Mizil,
Jennifer Spindel.
Hedge detection as a lens on framing in the GMO debates: A position paper
[Link for details]
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Chenhao Tan,
Evgeniy Gabrilovich,
Bo Pang.
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)
[PDF]
[Slides]
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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)
[PDF]
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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)
[PDF]
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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.
[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]