Zhongwen Xu - RankMe

85 papers A* 33A 1B 1Journal 41Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Pre-Trained Video Generative Models as World Simulators. AAAI Haoran He, Yang Zhang, Liang Lin, Zhongwen Xu, Ling Pan
2025	J	`jnl`	Agents Play Thousands of 3D Video Games. CoRR Zhongwen Xu, Xianliang Wang, Siyi Li, Tao Yu, Liang Wang, Qiang Fu, Wei Yang
2025	J	`jnl`	Cogito, Ergo Ludo: An Agent that Learns to Play by Reasoning and Planning. CoRR Sai Wang, Yu Wu, Zhongwen Xu
2025	J	`jnl`	Impact of digital economy development on corporate green governance efficiency. Technol. Anal. Strateg. Manag. Yi Chen, Zhongwen Xu
2025	J	`jnl`	Pre-Trained Video Generative Models as World Simulators. CoRR Haoran He, Yang Zhang, Liang Lin, Zhongwen Xu, Ling Pan
2025	J	`jnl`	Single-stream Policy Optimization. CoRR Zhongwen Xu, Zihan Ding
2025	J	`jnl`	Understanding Tool-Integrated Reasoning. CoRR Heng Lin, Zhongwen Xu
2024	A*	`conf`	Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. ICLR Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón
2024	J	`jnl`	Learning to Optimize for Reinforcement Learning. RLJ Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu
2024	A*	`conf`	Reinforcement Learning from Diverse Human Preferences. IJCAI Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu
2023	J	`jnl`	Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. CoRR Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón
2023	A*	`conf`	DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics. ICLR Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu
2023	A*	`conf`	Distributional Meta-Gradient Reinforcement Learning. ICLR Haiyan Yin, Shuicheng Yan, Zhongwen Xu
2023	A*	`conf`	Efficient Offline Policy Optimization with a Learned Model. ICLR Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu
2023	A*	`conf`	Imitation Learning as State Matching via Differentiable Physics. CVPR Siwei Chen, Xiao Ma, Zhongwen Xu
2023	J	`jnl`	Learning to Optimize for Reinforcement Learning. CoRR Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu
2023	—	`conf`	MuseumQA: A Fine-Grained Question Answering Dataset for Museums and Artifacts. MLNLP Fan Jin, Qingling Chang, Zhongwen Xu
2023	A*	`conf`	Mutual Information Regularized Offline Reinforcement Learning. NeurIPS Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan
2023	A*	`conf`	RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu
2023	J	`jnl`	Reinforcement Learning from Diverse Human Preferences. CoRR Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu
2023	A*	`conf`	Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. AAAI Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan
2023	A*	`conf`	Visual Imitation Learning with Patch Rewards. ICLR Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
2023	J	`jnl`	Visual Imitation Learning with Patch Rewards. CoRR Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
2022	J	`jnl`	Benchmarking Deformable Object Manipulation with Differentiable Physics. CoRR Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu
2022	J	`jnl`	Boosting Offline Reinforcement Learning via Data Rebalancing. CoRR Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan
2022	J	`jnl`	Efficient Offline Policy Optimization with a Learned Model. CoRR Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu
2022	A*	`conf`	EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. NeurIPS Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan
2022	J	`jnl`	EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. CoRR Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan
2022	J	`jnl`	Imitation Learning via Differentiable Physics. CoRR Siwei Chen, Xiao Ma, Zhongwen Xu
2022	J	`jnl`	Mutual Information Regularized Offline Reinforcement Learning. CoRR Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan
2022	J	`jnl`	RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning. CoRR Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu
2022	J	`jnl`	Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. CoRR Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan
2021	A*	`conf`	Balancing Constraints and Rewards with Meta-Gradient D4PG. ICLR Dan A. Calian, Daniel J. Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy A. Mann
2021	A*	`conf`	Discovery of Options via Meta-Learned Subgoals. NeurIPS Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh
2021	J	`jnl`	Discovery of Options via Meta-Learned Subgoals. CoRR Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh
2021	A	`conf`	ETA Prediction with Graph Neural Networks in Google Maps. CIKM Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
2021	J	`jnl`	ETA Prediction with Graph Neural Networks in Google Maps. CoRR Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
2021	A*	`conf`	Emphatic Algorithms for Deep Reinforcement Learning. ICML Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt
2021	J	`jnl`	Emphatic Algorithms for Deep Reinforcement Learning. CoRR Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt
2020	A*	`conf`	A Self-Tuning Actor-Critic Algorithm. NeurIPS Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
2020	J	`jnl`	Balancing Constraints and Rewards with Meta-Gradient D4PG. CoRR Dan A. Calian, Daniel J. Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy A. Mann
2020	A*	`conf`	Discovering Reinforcement Learning Algorithms. NeurIPS Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver
2020	J	`jnl`	Discovering Reinforcement Learning Algorithms. CoRR Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver
2020	A*	`conf`	Meta-Gradient Reinforcement Learning with an Objective Discovered Online. NeurIPS Zhongwen Xu, Hado Philip van Hasselt, Matteo Hessel, Junhyuk Oh, Satinder Singh, David Silver
2020	J	`jnl`	Meta-Gradient Reinforcement Learning with an Objective Discovered Online. CoRR Zhongwen Xu, Hado van Hasselt, Matteo Hessel, Junhyuk Oh, Satinder Singh, David Silver
2020	J	`jnl`	Self-Tuning Deep Reinforcement Learning. CoRR Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
2020	J	`jnl`	Urban water supply system optimization and planning: Bi-objective optimization and system dynamics methods. Comput. Ind. Eng. Zhongwen Xu, Liming Yao, Xudong Chen
2020	A*	`conf`	What Can Learned Intrinsic Rewards Capture? ICML Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh
2019	A*	`conf`	Discovery of Useful Questions as Auxiliary Tasks. NeurIPS Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
2019	J	`jnl`	Discovery of Useful Questions as Auxiliary Tasks. CoRR Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Richard L. Lewis, Janarthanan Rajendran, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
2019	J	`jnl`	General non-linear Bellman equations. CoRR Hado van Hasselt, John Quan, Matteo Hessel, Zhongwen Xu, Diana Borsa, André Barreto
2019	J	`jnl`	What Can Learned Intrinsic Rewards Capture? CoRR Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh
2018	J	`jnl`	Joint Attributes and Event Analysis for Multimedia Event Detection. IEEE Trans. Neural Networks Learn. Syst. Zhigang Ma, Xiaojun Chang, Zhongwen Xu, Nicu Sebe, Alexander G. Hauptmann
2018	A*	`conf`	Meta-Gradient Reinforcement Learning. NeurIPS Zhongwen Xu, Hado van Hasselt, David Silver
2018	J	`jnl`	Meta-Gradient Reinforcement Learning. CoRR Zhongwen Xu, Hado van Hasselt, David Silver
2018	A*	`conf`	Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification. IJCAI Hehe Fan, Zhongwen Xu, Linchao Zhu, Chenggang Yan, Jianjun Ge, Yi Yang
2017	J	`jnl`	An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning. CoRR Fan Wu, Zhongwen Xu, Yi Yang
2017	A*	`conf`	Bidirectional Multirate Reconstruction for Temporal Modeling in Videos. CVPR Linchao Zhu, Zhongwen Xu, Yi Yang
2017	A*	`conf`	Few-Shot Object Recognition from Machine-Labeled Web Images. CVPR Zhongwen Xu, Linchao Zhu, Yi Yang
2017	—	`—`	Large-scale video analysis and understanding Zhongwen Xu
2017	—	`conf`	Natural Value Approximators: Learning when to Trust Past Estimates. NIPS Zhongwen Xu, Joseph Modayil, Hado van Hasselt, André Barreto, David Silver, Tom Schaul
2017	J	`jnl`	Uncovering the Temporal Context for Video Question Answering. Int. J. Comput. Vis. Linchao Zhu, Zhongwen Xu, Yi Yang, Alexander G. Hauptmann
2016	J	`jnl`	Bidirectional Multirate Reconstruction for Temporal Modeling in Videos. CoRR Linchao Zhu, Zhongwen Xu, Yi Yang
2016	J	`jnl`	Few-Shot Object Recognition from Machine-Labeled Web Images. CoRR Zhongwen Xu, Linchao Zhu, Yi Yang
2016	A*	`conf`	Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning. CVPR Pingbo Pan, Zhongwen Xu, Yi Yang, Fei Wu, Yueting Zhuang
2016	A*	`conf`	Robust Semi-Supervised Learning through Label Aggregation. AAAI Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang
2016	J	`jnl`	Strategies for Searching Video Content with Text Queries or Video Examples. CoRR Shoou-I Yu, Yi Yang, Zhongwen Xu, Shicheng Xu, Deyu Meng, Zexi Mao, Zhigang Ma, Ming Lin, Xuanchong Li, Huan Li, Zhen-Zhong Lan, Lu Jiang, Alexander G. Hauptmann, Chuang Gan, Xingzhong Du, Xiaojun Chang
2015	A*	`conf`	A discriminative CNN video representation for event detection. CVPR Zhongwen Xu, Yi Yang, Alexander G. Hauptmann
2015	—	`conf`	CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED. TRECVID Shoou-I Yu, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara J. Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Zhigang Ma, Yi Yang, Deyu Meng, Shiguang Shan, Pinar Duygulu Sahin, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Teruko Mitamura, Richard M. Stern, Alexander G. Hauptmann
2015	B	`conf`	Content-Based Video Search over 1 Million Videos with 1 Core in 1 Second. ICMR Shoou-I Yu, Lu Jiang, Zhongwen Xu, Yi Yang, Alexander G. Hauptmann
2015	J	`jnl`	Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning. CoRR Pingbo Pan, Zhongwen Xu, Yi Yang, Fei Wu, Yueting Zhuang
2015	J	`jnl`	Uncovering Temporal Context for Video Question and Answering. CoRR Linchao Zhu, Zhongwen Xu, Yi Yang, Alexander G. Hauptmann
2014	J	`jnl`	A Discriminative CNN Video Representation for Event Detection. CoRR Zhongwen Xu, Yi Yang, Alexander G. Hauptmann
2014	—	`conf`	Cross-media relevance mining for evaluating text-based image search engine. ICME Workshops Zhongwen Xu, Yi Yang, Ashraf A. Kassim, Shuicheng Yan
2014	A*	`conf`	Event Detection Using Multi-level Relevance Labels and Multiple Features. CVPR Zhongwen Xu, Ivor W. Tsang, Yi Yang, Zhigang Ma, Alexander G. Hauptmann
2014	—	`conf`	Informedia @ TRECVID 2014. TRECVID Shoou-I Yu, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara J. Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Zhigang Ma, Yi Yang, Deyu Meng, Shiguang Shan, Pinar Duygulu Sahin, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Teruko Mitamura, Richard M. Stern, Alexander G. Hauptmann, Anil Armagan, Yicheng Zhao
2013	A*	`conf`	Complex Event Detection via Multi-source Video Attributes. CVPR Zhigang Ma, Yi Yang, Zhongwen Xu, Shuicheng Yan, Nicu Sebe, Alexander G. Hauptmann
2013	—	`conf`	Discriminative Multi-Task Feature Selection. AAAI (Late-Breaking Developments) Yahong Han, Jianguang Zhang, Zhongwen Xu, Shoou-I Yu
2013	—	`conf`	Fall detection in multi-camera surveillance videos: experimentations and observations. MIIRH@ACM Multimedia Sen Wang, Zhongwen Xu, Yi Yang, Xue Li, Chaoyi Pang, Alexander G. Hauptmann
2013	A*	`conf`	Feature Weighting via Optimal Thresholding for Video Analysis. ICCV Zhongwen Xu, Yi Yang, Ivor W. Tsang, Nicu Sebe, Alexander G. Hauptmann
2013	A*	`conf`	GLocal structural feature selection with sparsity for multimedia data understanding. ACM Multimedia Yan Yan, Zhongwen Xu, Gaowen Liu, Zhigang Ma, Nicu Sebe
2013	A*	`conf`	How Related Exemplars Help Complex Event Detection in Web Videos? ICCV Yi Yang, Zhigang Ma, Zhongwen Xu, Shuicheng Yan, Alexander G. Hauptmann
2013	J	`jnl`	Image classification with manifold learning for out-of-sample data. Signal Process. Yahong Han, Zhongwen Xu, Zhigang Ma, Zi Huang
2013	A*	`conf`	We are not equally negative: fine-grained labeling for multimedia event detection. ACM Multimedia Zhigang Ma, Yi Yang, Zhongwen Xu, Nicu Sebe, Alexander G. Hauptmann
2012	—	`conf`	Informedia @TRECVID 2012. TRECVID Shoou-I Yu, Zhongwen Xu, Duo Ding, Waito Sze, Francisco Vicente, Zhenzhong Lan, Yang Cai, Shourabh Rawat, Peter F. Schulam, Nisarga Markandaiah, Sohail Bahmani, Antonio Juárez, Wei Tong, Yi Yang, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Richard M. Stern, Teruko Mitamura, Eric Nyberg, Lu Jiang, Qiang Chen, Lisa M. Brown, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Shuicheng Yan, Alexander G. Hauptmann, Sharath Pankanti