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Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity

Nov 05, 2020
Tanmay Gangwani, Jian Peng, Yuan Zhou

* CoRL 2020 camera-ready 

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Off-Policy Interval Estimation with Lipschitz Value Iteration

Oct 29, 2020
Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu

* To appear at NeurIPS 2020 

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Learning Guidance Rewards with Trajectory-space Smoothing

Oct 23, 2020
Tanmay Gangwani, Yuan Zhou, Jian Peng

* NeurIPS 2020 camera-ready 

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Efficient Competitive Self-Play Policy Optimization

Sep 13, 2020
Yuanyi Zhong, Yuan Zhou, Jian Peng

* 18 pages (10 for main text, 2 for reference, 8 for appendix) 

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Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity

Aug 28, 2020
Xianggen Liu, Yunan Luo, Sen Song, Jian Peng


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Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer

Jul 15, 2020
Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang

* ECCV 2020. Code: https://github.com/mikuhatsune/wsod_transfer 

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Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion

Jul 04, 2020
Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang


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Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch

Jun 12, 2020
Michael Wan, Tanmay Gangwani, Jian Peng

* Conference on Uncertainty in Artificial Intelligence (UAI 2020) 

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DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images

Mar 07, 2020
Jie Chen, Ziyang Yuan, Jian Peng, Li Chen, Haozhe Huang, Jiawei Zhu, Tao Lin, Haifeng Li

* 11 pages, 9 figures, 4 tables 

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Stein Variational Inference for Discrete Distributions

Mar 01, 2020
Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu

* AISTATS 2020 

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State-only Imitation with Transition Dynamics Mismatch

Feb 27, 2020
Tanmay Gangwani, Jian Peng

* ICLR 2020 camera-ready 

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Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning

Feb 21, 2020
Yuanyi Zhong, Alexander Schwing, Jian Peng

* Accepted to ICASSP 2020 

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Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification

Jan 27, 2020
Jie Chen, Haozhe Huang, Jian Peng, Jiawei Zhu, Li Chen, Wenbo Li, Binyu Sun, Haifeng Li

* 10 pages, 12 figures, 3 tables 

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cube2net: Efficient Query-Specific Network Construction with Data Cube Organization

Jan 18, 2020
Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han

* Full paper of the extended abstract published in ICDMW 2019 

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DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network

Nov 09, 2019
Ke Xu, Kaiyu Guan, Jian Peng, Yunan Luo, Sibo Wang

* 17 pages, 4 figures, 6 tables 

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$\sqrt{n}$-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank

Sep 08, 2019
Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou

* 39 pages. Added additional related works 

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HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding

Sep 07, 2019
Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng

* CIKM 2019 

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Characterizing Attacks on Deep Reinforcement Learning

Jul 24, 2019
Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song


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Learning Belief Representations for Imitation Learning in POMDPs

Jun 22, 2019
Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng

* Conference on Uncertainty in Artificial Intelligence (UAI 2019) 

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A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization

Jun 11, 2019
Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng

* Appears in ICML 2019 

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Exploration via Hindsight Goal Generation

Jun 10, 2019
Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng


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Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning

May 31, 2019
Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng


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Thresholding Bandit with Optimal Aggregate Regret

May 27, 2019
Chao Tao, Saùl Blanco, Jian Peng, Yuan Zhou


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Stochastic Variance Reduction for Deep Q-learning

May 20, 2019
Wei-Ye Zhao, Xi-Ya Guan, Yang Liu, Xiaoming Zhao, Jian Peng

* this is the full paper version, its extended abstract has been published 

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Knowledge Flow: Improve Upon Your Teachers

Apr 11, 2019
Iou-Jen Liu, Jian Peng, Alexander G. Schwing

* Accepted to ICLR 2019 

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Understanding the Importance of Single Directions via Representative Substitution

Dec 06, 2018
Li Chen, Hailun Ding, Qi Li, Zhuo Li, Jian Peng, Haifeng Li

* AAAI-19 Workshop on Network Interpretability for Deep Learning, 2019 
* 4 pages, 6 figures 

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Overcoming Catastrophic Forgetting by Soft Parameter Pruning

Dec 04, 2018
Jian Peng, Jiang Hao, Zhuo Li, Enqiang Guo, Xiaohong Wan, Deng Min, Qing Zhu, Haifeng Li

* 10 pages, 12 figures 

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Anchor Box Optimization for Object Detection

Dec 02, 2018
Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang


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The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration

Oct 12, 2018
Yihan Gao, Chao Zhang, Jian Peng, Aditya Parameswaran


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Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Sep 10, 2018
Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han

* EMNLP 2018 

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