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All publications by Dengyong Zhou
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Approval Voting and Incentives in Crowdsourcing
Nihar Shah, Dengyong Zhou and Yuval Peres
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
Dengyong Zhou, Qiang Liu, John Platt and Christopher Meek
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Dengyong Zhou and Michael I. Jordan
Advances in Neural Information Processing Systems 27, 2014


Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
Xi Chen, Qihang Lin and Dengyong Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning from the Wisdom of Crowds by Minimax Entropy
Dengyong Zhou, Sumit Basu, Yi Mao and John C. Platt
Advances in Neural Information Processing Systems 25, 2012


Hierarchical Classification via Orthogonal Transfer
Lin Xiao, Dengyong Zhou and Mingrui Wu
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Spectral clustering and transductive learning with multiple views
Dengyong Zhou and Christopher Burges
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Learning with Hypergraphs: Clustering, Classification, and Embedding
Dengyong Zhou, Jiayuan Huang and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


Learning from labeled and unlabeled data on a directed graph
Dengyong Zhou, Jiayuan Huang and Bernhard Schölkopf
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Semi-supervised Learning on Directed Graphs
Dengyong Zhou, Thomas Hofmann and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


Semi-supervised Protein Classification Using Cluster Kernels
Jason Weston, Dengyong Zhou, André Elisseeff, William S. Noble and Christina S. Leslie
Advances in Neural Information Processing Systems 16, 2003


Learning with Local and Global Consistency
Dengyong Zhou, Olivier Bousquet, Thomas N. Lal, Jason Weston and Bernhard Schölkopf
Advances in Neural Information Processing Systems 16, 2003


Ranking on Data Manifolds
Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet and Bernhard Schölkopf
Advances in Neural Information Processing Systems 16, 2003