Dengyong Zhou
RESEARCHER
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I am a Researcher in the Machine Learning Department at Microsoft Research, Redmond, WA. My research is statistic machine learning. For more information, please visit my personal page here.
Publications
- Xi Chen, Qihang Lin, and Dengyong Zhou, Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing, in Proceedings of the 30th International Conference on Machine Learning (ICML), 2013
- Dengyong Zhou, John Platt, Sumit Basu, and Yi Mao, Learning from the Wisdom of Crowds by Minimax Entropy, in Advances in Neural Information Processing Systems (NIPS), December 2012
- Yang Song, Dengyong Zhou, and Li-wei He, Query Suggestion by Constructing Term-Transition Graphs, in WSDM '12, ACM, 8 February 2012
- Yang Song, Dengyong Zhou, and Li-wei He, Post-Ranking Query Suggestion by Diversifying Search Results, in SIGIR '11 Proceedings of the 34st annual international ACM SIGIR conference on Research and development in information retrieval , Association for Computing Machinery, Inc., July 2011
- Dengyong Zhou, Lin Xiao, and Mingrui Wu, Hierarchical Classification via Orthogonal Transfer, in Proceedings of the 28th International Conference on Machine Learning (ICML), Bellevue, WA, USA, June 2011
- Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, and Irwin King, Recommender systems with social regularization, in Proceedings of the fourth ACM international conference on Web search and data mining, Association for Computing Machinery, Inc., New York, NY, USA, January 2011
