Dengyong Zhou

According to our database, Dengyong Zhou authored at least 51 papers between 2001 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision.

Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Approval Voting and Incentives in Crowdsourcing.

Nihar B. Shah, Dengyong Zhou

ACM Trans. Economics and Comput., 2020

Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation.

Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Neural Phrase-to-Phrase Machine Translation.

Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou

CoRR, 2018

Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation.

Qiang Liu, Lihong Li, Ziyang Tang, Dengyong Zhou

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On the Discrimination-Generalization Tradeoff in GANs.

Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He

Proceedings of the 6th International Conference on Learning Representations, 2018

Action-dependent Control Variates for Policy Optimization via Stein Identity.

Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu

Proceedings of the 6th International Conference on Learning Representations, 2018

Towards Neural Phrase-based Machine Translation.

Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Sample-efficient Policy Optimization with Stein Control Variate.

Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu

CoRR, 2017

Provable Optimal Algorithms for Generalized Linear Contextual Bandits.

Lihong Li, Yu Lu, Dengyong Zhou

CoRR, 2017

Neural Phrase-based Machine Translation.

Po-Sen Huang, Chong Wang, Dengyong Zhou, Li Deng

CoRR, 2017

Hierarchical learning for automated malware classification.

Shayok Chakraborty, Jack W. Stokes, Lin Xiao, Dengyong Zhou, Mady Marinescu, Anil Thomas

Proceedings of the 2017 IEEE Military Communications Conference, 2017

Sequence Modeling via Segmentations.

Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng

Proceedings of the 34th International Conference on Machine Learning, 2017

Provably Optimal Algorithms for Generalized Linear Contextual Bandits.

Lihong Li, Yu Lu, Dengyong Zhou

Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Variance Reduction Methods for Policy Evaluation.

Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou

Proceedings of the 34th International Conference on Machine Learning, 2017

Neuro-Symbolic Program Synthesis.

Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, Pushmeet Kohli

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing.

Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I. Jordan

J. Mach. Learn. Res., 2016

Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing.

Nihar B. Shah, Dengyong Zhou

J. Mach. Learn. Res., 2016

No Oops, You Won't Do It Again: Mechanisms for Self-correction in Crowdsourcing.

Nihar B. Shah, Dengyong Zhou

Proceedings of the 33nd International Conference on Machine Learning, 2016

Exact Exponent in Optimal Rates for Crowdsourcing.

Chao Gao, Yu Lu, Dengyong Zhou

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Statistical decision making for optimal budget allocation in crowd labeling.

Xi Chen, Qihang Lin, Dengyong Zhou

J. Mach. Learn. Res., 2015

Regularized Minimax Conditional Entropy for Crowdsourcing.

Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek, Nihar B. Shah

CoRR, 2015

Approval Voting and Incentives in Crowdsourcing.

Nihar B. Shah, Dengyong Zhou, Yuval Peres

Proceedings of the 32nd International Conference on Machine Learning, 2015

On the Impossibility of Convex Inference in Human Computation.

Nihar B. Shah, Dengyong Zhou

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy.

Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Error Rate Bounds in Crowdsourcing Models.

Hongwei Li, Bin Yu, Dengyong Zhou

CoRR, 2013

Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing.

Xi Chen, Qihang Lin, Dengyong Zhou

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Query suggestion by constructing term-transition graphs.

Yang Song, Dengyong Zhou, Li-wei He

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Learning from the Wisdom of Crowds by Minimax Entropy.

Dengyong Zhou, John C. Platt, Sumit Basu, Yi Mao

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Recommender systems with social regularization.

Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, Irwin King

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Post-ranking query suggestion by diversifying search results.

Yang Song, Dengyong Zhou, Li-wei He

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Hierarchical Classification via Orthogonal Transfer.

Lin Xiao, Dengyong Zhou, Mingrui Wu

Proceedings of the 28th International Conference on Machine Learning, 2011

2009

On evolutionary spectral clustering.

Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng

ACM Trans. Knowl. Discov. Data, 2009

Product query classification.

Dou Shen, Ying Li, Xiao Li, Dengyong Zhou

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Query suggestion using hitting time.

Qiaozhu Mei, Dengyong Zhou, Kenneth Ward Church

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

Semi-Supervised Graph-Based Hyperspectral Image Classification.

Gustavo Camps-Valls, Tatyana V. Bandos Marsheva, Dengyong Zhou

IEEE Trans. Geosci. Remote. Sens., 2007

Evolutionary spectral clustering by incorporating temporal smoothness.

Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Spectral clustering and transductive learning with multiple views.

Dengyong Zhou, Christopher J. C. Burges

Proceedings of the Machine Learning, 2007

Transductive Link Spam Detection.

Dengyong Zhou, Chris Burges, Tao Tao

Proceedings of the AIRWeb 2007, 2007

2006

Information Marginalization on Subgraphs.

Jiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou, Dale Schuurmans

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Learning with Hypergraphs: Clustering, Classification, and Embedding.

Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Discrete Regularization.

Dengyong Zhou, Bernhard Schölkopf

Proceedings of the Semi-Supervised Learning, 2006

2005

Semi-supervised protein classification using cluster kernels.

Jason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble

Bioinform., 2005

Learning from labeled and unlabeled data on a directed graph.

Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf

Proceedings of the Machine Learning, 2005

Regularization on Discrete Spaces.

Dengyong Zhou, Bernhard Schölkopf

Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2004

Semi-supervised Learning on Directed Graphs.

Dengyong Zhou, Bernhard Schölkopf, Thomas Hofmann

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning from Labeled and Unlabeled Data Using Random Walks.

Dengyong Zhou, Bernhard Schölkopf

Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003

Ranking on Data Manifolds.

Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Learning with Local and Global Consistency.

Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Semi-supervised Protein Classification Using Cluster Kernels.

Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2001

The control structure of artificial creatures.

Dengyong Zhou, Ruwei Dai

Artif. Life Robotics, 2001