| 2021 | AAAI | Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision. | Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu |
| 2020 | ICLR | Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. | Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu |
| 2018 | ICLR | Towards Neural Phrase-based Machine Translation. | Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng |
| 2018 | ICLR | Action-dependent Control Variates for Policy Optimization via Stein Identity. | Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu |
| 2018 | ICLR | On the Discrimination-Generalization Tradeoff in GANs. | Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He |
| 2017 | ICLR | Neuro-Symbolic Program Synthesis. | Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, Pushmeet Kohli |
| 2017 | ICML | Stochastic Variance Reduction Methods for Policy Evaluation. | Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou |
| 2017 | ICML | Provably Optimal Algorithms for Generalized Linear Contextual Bandits. | Lihong Li, Yu Lu, Dengyong Zhou |
| 2017 | ICML | Sequence Modeling via Segmentations. | Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng |
| 2016 | ICML | Exact Exponent in Optimal Rates for Crowdsourcing. | Chao Gao, Yu Lu, Dengyong Zhou |
| 2016 | ICML | No Oops, You Won't Do It Again: Mechanisms for Self-correction in Crowdsourcing. | Nihar B. Shah, Dengyong Zhou |
| 2015 | AAAI | On the Impossibility of Convex Inference in Human Computation. | Nihar B. Shah, Dengyong Zhou |
| 2015 | ICML | Approval Voting and Incentives in Crowdsourcing. | Nihar B. Shah, Dengyong Zhou, Yuval Peres |
| 2014 | ICML | Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy. | Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek |
| 2013 | ICML | Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing. | Xi Chen, Qihang Lin, Dengyong Zhou |
| 2012 | WSDM | Query suggestion by constructing term-transition graphs. | Yang Song, Dengyong Zhou, Li-wei He |
| 2011 | ICML | Hierarchical Classification via Orthogonal Transfer. | Lin Xiao, Dengyong Zhou, Mingrui Wu |
| 2011 | SIGIR | Post-ranking query suggestion by diversifying search results. | Yang Song, Dengyong Zhou, Li-wei He |
| 2011 | WSDM | Recommender systems with social regularization. | Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, Irwin King |
| 2009 | CIKM | Product query classification. | Dou Shen, Ying Li, Xiao Li, Dengyong Zhou |
| 2008 | CIKM | Query suggestion using hitting time. | Qiaozhu Mei, Dengyong Zhou, Kenneth Ward Church |
| 2007 | ICML | Spectral clustering and transductive learning with multiple views. | Dengyong Zhou, Christopher J. C. Burges |
| 2007 | KDD | Evolutionary spectral clustering by incorporating temporal smoothness. | Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng |
| 2005 | ICML | Learning from labeled and unlabeled data on a directed graph. | Dengyong Zhou, Jiayuan Huang, Bernhard Schlkopf |