Dengyong Zhou - RankMe

63 papers A* 16A 4Journal 25Unranked 17

Year	Rank	Type	Title / Venue / Authors
2021	A*	`conf`	Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision. AAAI Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu
2020	J	`jnl`	Approval Voting and Incentives in Crowdsourcing. ACM Trans. Economics and Comput. Nihar B. Shah, Dengyong Zhou
2020	A*	`conf`	Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. ICLR Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu
2020	J	`jnl`	Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision. CoRR Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu
2019	J	`jnl`	Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. CoRR Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu
2018	—	`conf`	Action-dependent Control Variates for Policy Optimization via Stein Identity. ICLR (Poster) Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
2018	A*	`conf`	Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation. NeurIPS Qiang Liu, Lihong Li, Ziyang Tang, Dengyong Zhou
2018	J	`jnl`	Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation. CoRR Qiang Liu, Lihong Li, Ziyang Tang, Dengyong Zhou
2018	J	`jnl`	Neural Phrase-to-Phrase Machine Translation. CoRR Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou
2018	—	`conf`	On the Discrimination-Generalization Tradeoff in GANs. ICLR (Poster) Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He
2018	—	`conf`	Towards Neural Phrase-based Machine Translation. ICLR (Poster) Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng
2017	—	`conf`	Hierarchical learning for automated malware classification. MILCOM Shayok Chakraborty, Jack W. Stokes, Lin Xiao, Dengyong Zhou, Mady Marinescu, Anil Thomas
2017	J	`jnl`	Neural Phrase-based Machine Translation. CoRR Po-Sen Huang, Chong Wang, Dengyong Zhou, Li Deng
2017	—	`conf`	Neuro-Symbolic Program Synthesis. ICLR (Poster) Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, Pushmeet Kohli
2017	J	`jnl`	On the Discrimination-Generalization Tradeoff in GANs. CoRR Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He
2017	J	`jnl`	Provable Optimal Algorithms for Generalized Linear Contextual Bandits. CoRR Lihong Li, Yu Lu, Dengyong Zhou
2017	A*	`conf`	Provably Optimal Algorithms for Generalized Linear Contextual Bandits. ICML Lihong Li, Yu Lu, Dengyong Zhou
2017	J	`jnl`	Sample-efficient Policy Optimization with Stein Control Variate. CoRR Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
2017	A*	`conf`	Sequence Modeling via Segmentations. ICML Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng
2017	J	`jnl`	Sequence Modeling via Segmentations. CoRR Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng
2017	A*	`conf`	Stochastic Variance Reduction Methods for Policy Evaluation. ICML Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou
2017	J	`jnl`	Stochastic Variance Reduction Methods for Policy Evaluation. CoRR Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou
2016	J	`jnl`	Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing. J. Mach. Learn. Res. Nihar B. Shah, Dengyong Zhou
2016	A*	`conf`	Exact Exponent in Optimal Rates for Crowdsourcing. ICML Chao Gao, Yu Lu, Dengyong Zhou
2016	J	`jnl`	Neuro-Symbolic Program Synthesis. CoRR Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, Pushmeet Kohli
2016	A*	`conf`	No Oops, You Won't Do It Again: Mechanisms for Self-correction in Crowdsourcing. ICML Nihar B. Shah, Dengyong Zhou
2016	J	`jnl`	Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing. J. Mach. Learn. Res. Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I. Jordan
2015	A*	`conf`	Approval Voting and Incentives in Crowdsourcing. ICML Nihar B. Shah, Dengyong Zhou, Yuval Peres
2015	J	`jnl`	Approval Voting and Incentives in Crowdsourcing. CoRR Nihar B. Shah, Dengyong Zhou, Yuval Peres
2015	A*	`conf`	On the Impossibility of Convex Inference in Human Computation. AAAI Nihar B. Shah, Dengyong Zhou
2015	J	`jnl`	Regularized Minimax Conditional Entropy for Crowdsourcing. CoRR Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek, Nihar B. Shah
2015	J	`jnl`	Statistical decision making for optimal budget allocation in crowd labeling. J. Mach. Learn. Res. Xi Chen, Qihang Lin, Dengyong Zhou
2014	A*	`conf`	Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy. ICML Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek
2014	J	`jnl`	Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing. CoRR Nihar B. Shah, Dengyong Zhou
2014	J	`jnl`	On the Impossibility of Convex Inference in Human Computation. CoRR Nihar B. Shah, Dengyong Zhou
2014	—	`conf`	Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing. NIPS Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I. Jordan
2014	J	`jnl`	Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling. CoRR Xi Chen, Qihang Lin, Dengyong Zhou
2013	J	`jnl`	Error Rate Bounds in Crowdsourcing Models. CoRR Hongwei Li, Bin Yu, Dengyong Zhou
2013	—	`conf`	Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing. ICML (3) Xi Chen, Qihang Lin, Dengyong Zhou
2012	—	`conf`	Learning from the Wisdom of Crowds by Minimax Entropy. NIPS Dengyong Zhou, John C. Platt, Sumit Basu, Yi Mao
2012	A	`conf`	Query suggestion by constructing term-transition graphs. WSDM Yang Song, Dengyong Zhou, Li-wei He
2011	A*	`conf`	Hierarchical Classification via Orthogonal Transfer. ICML Lin Xiao, Dengyong Zhou, Mingrui Wu
2011	A*	`conf`	Post-ranking query suggestion by diversifying search results. SIGIR Yang Song, Dengyong Zhou, Li-wei He
2011	A	`conf`	Recommender systems with social regularization. WSDM Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, Irwin King
2009	J	`jnl`	On evolutionary spectral clustering. ACM Trans. Knowl. Discov. Data Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng
2009	A	`conf`	Product query classification. CIKM Dou Shen, Ying Li, Xiao Li, Dengyong Zhou
2008	A	`conf`	Query suggestion using hitting time. CIKM Qiaozhu Mei, Dengyong Zhou, Kenneth Ward Church
2007	A*	`conf`	Evolutionary spectral clustering by incorporating temporal smoothness. KDD Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng
2007	J	`jnl`	Semi-Supervised Graph-Based Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Gustavo Camps-Valls, Tatyana V. Bandos Marsheva, Dengyong Zhou
2007	A*	`conf`	Spectral clustering and transductive learning with multiple views. ICML Dengyong Zhou, Christopher J. C. Burges
2007	—	`conf`	Transductive Link Spam Detection. AIRWeb Dengyong Zhou, Chris Burges, Tao Tao
2006	—	`ch.`	Discrete Regularization. Semi-Supervised Learning Dengyong Zhou, Bernhard Schölkopf
2006	—	`conf`	Information Marginalization on Subgraphs. PKDD Jiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou, Dale Schuurmans
2006	—	`conf`	Learning with Hypergraphs: Clustering, Classification, and Embedding. NIPS Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf
2005	A*	`conf`	Learning from labeled and unlabeled data on a directed graph. ICML Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf
2005	—	`conf`	Regularization on Discrete Spaces. DAGM-Symposium Dengyong Zhou, Bernhard Schölkopf
2005	J	`jnl`	Semi-supervised protein classification using cluster kernels. Bioinform. Jason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble
2004	—	`conf`	Learning from Labeled and Unlabeled Data Using Random Walks. DAGM-Symposium Dengyong Zhou, Bernhard Schölkopf
2004	—	`conf`	Semi-supervised Learning on Directed Graphs. NIPS Dengyong Zhou, Bernhard Schölkopf, Thomas Hofmann
2003	—	`conf`	Learning with Local and Global Consistency. NIPS Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Bernhard Schölkopf
2003	—	`conf`	Ranking on Data Manifolds. NIPS Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf
2003	—	`conf`	Semi-supervised Protein Classification Using Cluster Kernels. NIPS Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble
2001	J	`jnl`	The control structure of artificial creatures. Artif. Life Robotics Dengyong Zhou, Ruwei Dai