I am a PhD student in Computer Science at Stanford University, where I am advised by Professor Yoav Shoham. My research interests lie in the intersection of computer science and economics, particularly in the economics of information. I am fortunate to be supported by a Stanford Graduate Fellowship.
I am very lucky to be mentored by Jaron Lanier and W. Brian Arthur during a summer internship at Microsoft Research in 2013. Our work was briefly mentioned in a recent issue of Scientific American (November 2013).
Previously, I was in the Natural Language Processing Group where I worked on deep learning with Professors Chris Manning and Andrew Ng. Before coming to Stanford, I graduated from Harvard University in 2010 with a B.A. in Applied Mathematics/Computer Science and a minor in Economics.
Price Manipulation in Prediction Markets: Analysis and Mitigation [PDF]
Eric H. Huang and Yoav Shoham.
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014.
Improving Word Representations via Global Context and Multiple Word Prototypes [PDF]
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection [PDF]
Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng and Christopher D. Manning.
Advances in Neural Information Processing Systems (NIPS), 2011.
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions [PDF]
Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng and Christopher D. Manning.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011.
Toward Automatic Task Design: A Progress Report [PDF]
Eric Huang, Haoqi Zhang, David C. Parkes, Krzysztof Gajos and Yiling Chen.
KDD - Human Computation Workshop (HCOMP), 2010.