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.

Publications

Price Manipulation in Prediction Markets: Analysis and Mitigation [PDF (Forthcoming)]

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]

Eric H. Huang, Richard Socher, Christopher D. Manning and Andrew Y. Ng.
Annual Meeting of the Association for Computational Linguistics (ACL), 2012.
[Dataset][Word Representations][Training Code]

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.