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Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory

Aug 28, 2020
Jialun Liu, Jingwei Zhang, Wenhui Li, Chi Zhang, Yifan Sun

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CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions

Jul 15, 2020
Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang

* Accepted to ECCV 2020 

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Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning

Mar 09, 2020
Shengchao Yan, Jingwei Zhang, Daniel Buescher, Wolfram Burgard

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Multi-Modality Cascaded Fusion Technology for Autonomous Driving

Feb 08, 2020
Hongwu Kuang, Xiaodong Liu, Jingwei Zhang, Zicheng Fang

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Generalization Bounds for Convolutional Neural Networks

Oct 03, 2019
Shan Lin, Jingwei Zhang

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Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration

Mar 18, 2019
Jingwei Zhang, Niklas Wetzel, Nicolai Dorka, Joschka Boedecker, Wolfram Burgard

* A video of our experimental results can be found at 

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VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control

Jan 16, 2019
Jingwei Zhang, Lei Tai, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard

* IEEE RA-L 2019 to appear. The first two authors contributed equally. Video and supplement file are available on the project page(

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Theoretical Analysis of Adversarial Learning: A Minimax Approach

Nov 13, 2018
Zhuozhuo Tu, Jingwei Zhang, Dacheng Tao

* 22 pages 

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An Optimal Transport View on Generalization

Nov 08, 2018
Jingwei Zhang, Tongliang Liu, Dacheng Tao

* 27 pages, 2 figures, 1 table 

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An Information-Theoretic View for Deep Learning

Oct 02, 2018
Jingwei Zhang, Tongliang Liu, Dacheng Tao

* Add details in the proof of Theorem 2 

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Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning

May 14, 2018
Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu, Wolfram Burgard

* 5 pages, 4 figures; to be published in MLPC 2018 

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A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation

Apr 09, 2018
Lei Tai, Jingwei Zhang, Ming Liu, Joschka Boedecker, Wolfram Burgard

* 19 pages, 1 figures 

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Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning

Feb 26, 2018
Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard

* ICRA 2018 camera-ready version. 7 pages, video link: 

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On the Rates of Convergence from Surrogate Risk Minimizers to the Bayes Optimal Classifier

Feb 11, 2018
Jingwei Zhang, Tongliang Liu, Dacheng Tao

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Neural SLAM: Learning to Explore with External Memory

Nov 29, 2017
Jingwei Zhang, Lei Tai, Joschka Boedecker, Wolfram Burgard, Ming Liu

* A video of our experiments can be found at: 

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Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

Jul 23, 2017
Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard

* Camera ready version for IROS 2017 

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Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections

Aug 19, 2015
Jingwei Zhang, Aaron Gerow, Jaan Altosaar, James Evans, Richard Jean So

* EMNLP 2015 

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User-level Weibo Recommendation incorporating Social Influence based on Semi-Supervised Algorithm

Oct 26, 2012
Daifeng Li, Zhipeng Luo, Golden Guo-zheng Sun, Jie Tang, Jingwei Zhang

* to be sumitted in JASIST 

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Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging

Oct 24, 2012
Daifeng Li, Ying Ding, Xin Shuai, Golden Guo-zheng Sun, Jie Tang, Zhipeng Luo, Jingwei Zhang, Guo Zhang

* PLOS ONE Manuscript Draft 

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