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Zhongwen Xu
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2020 – today
- 2024
- [c43]Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón:
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. ICLR 2024 - [c42]Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu:
Reinforcement Learning from Diverse Human Preferences. IJCAI 2024: 5298-5306 - [c41]Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu:
Learning to Optimize for Reinforcement Learning. RLC 2024: 481-497 - 2023
- [c40]Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. AAAI 2023: 11069-11077 - [c39]Siwei Chen, Xiao Ma, Zhongwen Xu:
Imitation Learning as State Matching via Differentiable Physics. CVPR 2023: 7846-7855 - [c38]Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR 2023 - [c37]Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu:
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics. ICLR 2023 - [c36]Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu:
Visual Imitation Learning with Patch Rewards. ICLR 2023 - [c35]Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu:
Efficient Offline Policy Optimization with a Learned Model. ICLR 2023 - [c34]Haiyan Yin, Shuicheng Yan, Zhongwen Xu:
Distributional Meta-Gradient Reinforcement Learning. ICLR 2023 - [c33]Fan Jin
, Qingling Chang
MuseumQA: A Fine-Grained Question Answering Dataset for Museums and Artifacts. MLNLP 2023: 221-226 - [c32]Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan:
Mutual Information Regularized Offline Reinforcement Learning. NeurIPS 2023 - [i30]Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu:
Reinforcement Learning from Diverse Human Preferences. CoRR abs/2301.11774 (2023) - [i29]Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu:
Visual Imitation Learning with Patch Rewards. CoRR abs/2302.00965 (2023) - [i28]Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu:
Learning to Optimize for Reinforcement Learning. CoRR abs/2302.01470 (2023) - [i27]Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón:
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. CoRR abs/2310.00036 (2023) - 2022
- [c31]Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan:
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. NeurIPS 2022 - [i26]Siwei Chen, Xiao Ma, Zhongwen Xu:
Imitation Learning via Differentiable Physics. CoRR abs/2206.04873 (2022) - [i25]Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. CoRR abs/2206.10558 (2022) - [i24]Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. CoRR abs/2206.12542 (2022) - [i23]Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu:
Efficient Offline Policy Optimization with a Learned Model. CoRR abs/2210.05980 (2022) - [i22]Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan:
Mutual Information Regularized Offline Reinforcement Learning. CoRR abs/2210.07484 (2022) - [i21]Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Boosting Offline Reinforcement Learning via Data Rebalancing. CoRR abs/2210.09241 (2022) - [i20]Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning. CoRR abs/2210.09646 (2022) - [i19]Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu:
Benchmarking Deformable Object Manipulation with Differentiable Physics. CoRR abs/2210.13066 (2022) - 2021
- [c30]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:
ETA Prediction with Graph Neural Networks in Google Maps. CIKM 2021: 3767-3776 - [c29]Dan A. Calian, Daniel J. Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy A. Mann:
Balancing Constraints and Rewards with Meta-Gradient D4PG. ICLR 2021 - [c28]Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt:
Emphatic Algorithms for Deep Reinforcement Learning. ICML 2021: 5023-5033 - [c27]Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh:
Discovery of Options via Meta-Learned Subgoals. NeurIPS 2021: 29861-29873 - [i18]Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh:
Discovery of Options via Meta-Learned Subgoals. CoRR abs/2102.06741 (2021) - [i17]Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt:
Emphatic Algorithms for Deep Reinforcement Learning. CoRR abs/2106.11779 (2021) - [i16]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:
ETA Prediction with Graph Neural Networks in Google Maps. CoRR abs/2108.11482 (2021) - 2020
- [j4]Zhongwen Xu
Urban water supply system optimization and planning: Bi-objective optimization and system dynamics methods. Comput. Ind. Eng. 142: 106373 (2020) - [c26]Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh:
What Can Learned Intrinsic Rewards Capture? ICML 2020: 11436-11446 - [c25]Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver:
Discovering Reinforcement Learning Algorithms. NeurIPS 2020 - [c24]Zhongwen Xu, Hado Philip van Hasselt, Matteo Hessel, Junhyuk Oh, Satinder Singh, David Silver:
Meta-Gradient Reinforcement Learning with an Objective Discovered Online. NeurIPS 2020 - [c23]Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh:
A Self-Tuning Actor-Critic Algorithm. NeurIPS 2020 - [i15]Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh:
Self-Tuning Deep Reinforcement Learning. CoRR abs/2002.12928 (2020) - [i14]Zhongwen Xu, Hado van Hasselt, Matteo Hessel, Junhyuk Oh, Satinder Singh, David Silver:
Meta-Gradient Reinforcement Learning with an Objective Discovered Online. CoRR abs/2007.08433 (2020) - [i13]Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver:
Discovering Reinforcement Learning Algorithms. CoRR abs/2007.08794 (2020) - [i12]Dan A. Calian, Daniel J. Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy A. Mann:
Balancing Constraints and Rewards with Meta-Gradient D4PG. CoRR abs/2010.06324 (2020)
2010 – 2019
- 2019
- [c22]Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh:
Discovery of Useful Questions as Auxiliary Tasks. NeurIPS 2019: 9306-9317 - [i11]Hado van Hasselt, John Quan, Matteo Hessel, Zhongwen Xu, Diana Borsa, André Barreto:
General non-linear Bellman equations. CoRR abs/1907.03687 (2019) - [i10]Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Richard L. Lewis, Janarthanan Rajendran, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh:
Discovery of Useful Questions as Auxiliary Tasks. CoRR abs/1909.04607 (2019) - [i9]Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh:
What Can Learned Intrinsic Rewards Capture? CoRR abs/1912.05500 (2019) - 2018
- [j3]Zhigang Ma, Xiaojun Chang
Joint Attributes and Event Analysis for Multimedia Event Detection. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2921-2930 (2018) - [c21]Hehe Fan, Zhongwen Xu, Linchao Zhu
Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification. IJCAI 2018: 705-711 - [c20]Zhongwen Xu, Hado van Hasselt, David Silver:
Meta-Gradient Reinforcement Learning. NeurIPS 2018: 2402-2413 - [i8]Zhongwen Xu, Hado van Hasselt, David Silver:
Meta-Gradient Reinforcement Learning. CoRR abs/1805.09801 (2018) - 2017
- [b1]Zhongwen Xu:
Large-scale video analysis and understanding. University of Technology Sydney, Australia, 2017 - [j2]Linchao Zhu
Uncovering the Temporal Context for Video Question Answering. Int. J. Comput. Vis. 124(3): 409-421 (2017) - [c19]Linchao Zhu
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos. CVPR 2017: 1339-1348 - [c18]Zhongwen Xu, Linchao Zhu
Few-Shot Object Recognition from Machine-Labeled Web Images. CVPR 2017: 5358-5366 - [c17]Zhongwen Xu, Joseph Modayil, Hado van Hasselt, André Barreto, David Silver, Tom Schaul:
Natural Value Approximators: Learning when to Trust Past Estimates. NIPS 2017: 2120-2128 - [i7]Fan Wu, Zhongwen Xu, Yi Yang:
An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning. CoRR abs/1703.07579 (2017) - 2016
- [c16]Yan Yan, Zhongwen Xu, Ivor W. Tsang
Robust Semi-Supervised Learning through Label Aggregation. AAAI 2016: 2244-2250 - [c15]Pingbo Pan, Zhongwen Xu, Yi Yang, Fei Wu, Yueting Zhuang:
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning. CVPR 2016: 1029-1038 - [i6]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
Strategies for Searching Video Content with Text Queries or Video Examples. CoRR abs/1606.05705 (2016) - [i5]Linchao Zhu, Zhongwen Xu, Yi Yang:
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos. CoRR abs/1611.09053 (2016) - [i4]Zhongwen Xu, Linchao Zhu, Yi Yang:
Few-Shot Object Recognition from Machine-Labeled Web Images. CoRR abs/1612.06152 (2016) - 2015
- [c14]Zhongwen Xu, Yi Yang, Alexander G. Hauptmann:
A discriminative CNN video representation for event detection. CVPR 2015: 1798-1807 - [c13]Shoou-I Yu, Lu Jiang, Zhongwen Xu, Yi Yang, Alexander G. Hauptmann:
Content-Based Video Search over 1 Million Videos with 1 Core in 1 Second. ICMR 2015: 419-426 - [c12]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:
CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED. TRECVID 2015 - [i3]Pingbo Pan, Zhongwen Xu, Yi Yang, Fei Wu, Yueting Zhuang:
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning. CoRR abs/1511.03476 (2015) - [i2]Linchao Zhu, Zhongwen Xu, Yi Yang, Alexander G. Hauptmann:
Uncovering Temporal Context for Video Question and Answering. CoRR abs/1511.04670 (2015) - 2014
- [c11]Zhongwen Xu, Ivor W. Tsang
Event Detection Using Multi-level Relevance Labels and Multiple Features. CVPR 2014: 97-104 - [c10]Zhongwen Xu, Yi Yang, Ashraf A. Kassim
Cross-media relevance mining for evaluating text-based image search engine. ICME Workshops 2014: 1-4 - [c9]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:
Informedia @ TRECVID 2014. TRECVID 2014 - [i1]Zhongwen Xu, Yi Yang, Alexander G. Hauptmann:
A Discriminative CNN Video Representation for Event Detection. CoRR abs/1411.4006 (2014) - 2013
- [j1]Yahong Han, Zhongwen Xu, Zhigang Ma, Zi Huang
Image classification with manifold learning for out-of-sample data. Signal Process. 93(8): 2169-2177 (2013) - [c8]Yahong Han, Jianguang Zhang, Zhongwen Xu, Shoou-I Yu:
Discriminative Multi-Task Feature Selection. AAAI (Late-Breaking Developments) 2013 - [c7]Zhigang Ma, Yi Yang, Zhongwen Xu, Shuicheng Yan, Nicu Sebe
Complex Event Detection via Multi-source Video Attributes. CVPR 2013: 2627-2633 - [c6]Yi Yang, Zhigang Ma, Zhongwen Xu, Shuicheng Yan, Alexander G. Hauptmann:
How Related Exemplars Help Complex Event Detection in Web Videos? ICCV 2013: 2104-2111 - [c5]Zhongwen Xu, Yi Yang, Ivor W. Tsang
Feature Weighting via Optimal Thresholding for Video Analysis. ICCV 2013: 3440-3447 - [c4]Sen Wang
Fall detection in multi-camera surveillance videos: experimentations and observations. MIIRH@ACM Multimedia 2013: 33-38 - [c3]Zhigang Ma, Yi Yang, Zhongwen Xu, Nicu Sebe
We are not equally negative: fine-grained labeling for multimedia event detection. ACM Multimedia 2013: 293-302 - [c2]Yan Yan, Zhongwen Xu, Gaowen Liu, Zhigang Ma, Nicu Sebe
GLocal structural feature selection with sparsity for multimedia data understanding. ACM Multimedia 2013: 537-540 - 2012
- [c1]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:
Informedia @TRECVID 2012. TRECVID 2012
Coauthor Index
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