Zhongwen Xu

According to our database, Zhongwen Xu authored at least 57 papers between 2012 and 2024.

Collaborative distances:

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

2024

Learning to Optimize for Reinforcement Learning.

Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu

RLJ, 2024

Reinforcement Learning from Diverse Human Preferences.

Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform.

Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Mutual Information Regularized Offline Reinforcement Learning.

Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MuseumQA: A Fine-Grained Question Answering Dataset for Museums and Artifacts.

Fan Jin, Qingling Chang, Zhongwen Xu

Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023

Distributional Meta-Gradient Reinforcement Learning.

Haiyan Yin, Shuicheng Yan, Zhongwen Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Offline Policy Optimization with a Learned Model.

Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Visual Imitation Learning with Patch Rewards.

Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics.

Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning.

Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Imitation Learning as State Matching via Differentiable Physics.

Siwei Chen, Xiao Ma, Zhongwen Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning.

Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Benchmarking Deformable Object Manipulation with Differentiable Physics.

Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu

CoRR, 2022

RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning.

Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu

CoRR, 2022

Boosting Offline Reinforcement Learning via Data Rebalancing.

Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan

CoRR, 2022

Imitation Learning via Differentiable Physics.

Siwei Chen, Xiao Ma, Zhongwen Xu

CoRR, 2022

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine.

Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Discovery of Options via Meta-Learned Subgoals.

Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Emphatic Algorithms for Deep Reinforcement Learning.

Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt

Proceedings of the 38th International Conference on Machine Learning, 2021

Balancing Constraints and Rewards with Meta-Gradient D4PG.

Dan A. Calian, Daniel J. Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy A. Mann

Proceedings of the 9th International Conference on Learning Representations, 2021

ETA Prediction with Graph Neural Networks in Google Maps.

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Self-Tuning Deep Reinforcement Learning.

Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh

CoRR, 2020

Urban water supply system optimization and planning: Bi-objective optimization and system dynamics methods.

Zhongwen Xu, Liming Yao, Xudong Chen

Comput. Ind. Eng., 2020

A Self-Tuning Actor-Critic Algorithm.

Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Meta-Gradient Reinforcement Learning with an Objective Discovered Online.

Zhongwen Xu, Hado Philip van Hasselt, Matteo Hessel, Junhyuk Oh, Satinder Singh, David Silver

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discovering Reinforcement Learning Algorithms.

Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

What Can Learned Intrinsic Rewards Capture?

Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

General non-linear Bellman equations.

Hado van Hasselt, John Quan, Matteo Hessel, Zhongwen Xu, Diana Borsa, André Barreto

CoRR, 2019

Discovery of Useful Questions as Auxiliary Tasks.

Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Joint Attributes and Event Analysis for Multimedia Event Detection.

Zhigang Ma, Xiaojun Chang, Zhongwen Xu, Nicu Sebe, Alexander G. Hauptmann

IEEE Trans. Neural Networks Learn. Syst., 2018

Meta-Gradient Reinforcement Learning.

Zhongwen Xu, Hado van Hasselt, David Silver

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

Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification.

Hehe Fan, Zhongwen Xu, Linchao Zhu, Chenggang Yan, Jianjun Ge, Yi Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Large-scale video analysis and understanding

Zhongwen Xu

PhD thesis, 2017

Uncovering the Temporal Context for Video Question Answering.

Linchao Zhu, Zhongwen Xu, Yi Yang, Alexander G. Hauptmann

Int. J. Comput. Vis., 2017

An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning.

Fan Wu, Zhongwen Xu, Yi Yang

CoRR, 2017

Natural Value Approximators: Learning when to Trust Past Estimates.

Zhongwen Xu, Joseph Modayil, Hado van Hasselt, André Barreto, David Silver, Tom Schaul

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Bidirectional Multirate Reconstruction for Temporal Modeling in Videos.

Linchao Zhu, Zhongwen Xu, Yi Yang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Few-Shot Object Recognition from Machine-Labeled Web Images.

Zhongwen Xu, Linchao Zhu, Yi Yang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Strategies for Searching Video Content with Text Queries or Video Examples.

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

CoRR, 2016

Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning.

Pingbo Pan, Zhongwen Xu, Yi Yang, Fei Wu, Yueting Zhuang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Robust Semi-Supervised Learning through Label Aggregation.

Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Uncovering Temporal Context for Video Question and Answering.

Linchao Zhu, Zhongwen Xu, Yi Yang, Alexander G. Hauptmann

CoRR, 2015

CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED.

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

Proceedings of the 2015 TREC Video Retrieval Evaluation, 2015

Content-Based Video Search over 1 Million Videos with 1 Core in 1 Second.

Shoou-I Yu, Lu Jiang, Zhongwen Xu, Yi Yang, Alexander G. Hauptmann

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

A discriminative CNN video representation for event detection.

Zhongwen Xu, Yi Yang, Alexander G. Hauptmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Informedia @ TRECVID 2014.

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

Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014

Cross-media relevance mining for evaluating text-based image search engine.

Zhongwen Xu, Yi Yang, Ashraf A. Kassim, Shuicheng Yan

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

Event Detection Using Multi-level Relevance Labels and Multiple Features.

Zhongwen Xu, Ivor W. Tsang, Yi Yang, Zhigang Ma, Alexander G. Hauptmann

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Image classification with manifold learning for out-of-sample data.

Yahong Han, Zhongwen Xu, Zhigang Ma, Zi Huang

Signal Process., 2013

GLocal structural feature selection with sparsity for multimedia data understanding.

Yan Yan, Zhongwen Xu, Gaowen Liu, Zhigang Ma, Nicu Sebe

Proceedings of the ACM Multimedia Conference, 2013

Fall detection in multi-camera surveillance videos: experimentations and observations.

Sen Wang, Zhongwen Xu, Yi Yang, Xue Li, Chaoyi Pang, Alexander G. Hauptmann

Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare, 2013

We are not equally negative: fine-grained labeling for multimedia event detection.

Zhigang Ma, Yi Yang, Zhongwen Xu, Nicu Sebe, Alexander G. Hauptmann

Proceedings of the ACM Multimedia Conference, 2013

How Related Exemplars Help Complex Event Detection in Web Videos?

Yi Yang, Zhigang Ma, Zhongwen Xu, Shuicheng Yan, Alexander G. Hauptmann

Proceedings of the IEEE International Conference on Computer Vision, 2013

Feature Weighting via Optimal Thresholding for Video Analysis.

Zhongwen Xu, Yi Yang, Ivor W. Tsang, Nicu Sebe, Alexander G. Hauptmann

Proceedings of the IEEE International Conference on Computer Vision, 2013

Complex Event Detection via Multi-source Video Attributes.

Zhigang Ma, Yi Yang, Zhongwen Xu, Shuicheng Yan, Nicu Sebe, Alexander G. Hauptmann

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Discriminative Multi-Task Feature Selection.

Yahong Han, Jianguang Zhang, Zhongwen Xu, Shoou-I Yu

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012

Informedia @TRECVID 2012.

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

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012