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Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population


May 03, 2021
Rui Chen, Jared D. Huling, Guanhua Chen, Menggang Yu


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Integer Programming for Causal Structure Learning in the Presence of Latent Variables


Feb 05, 2021
Rui Chen, Sanjeeb Dash, Tian Gao


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Towards Energy Efficient Federated Learning over 5G+ Mobile Devices


Jan 13, 2021
Dian Shi, Liang Li, Rui Chen, Pavana Prakash, Miao Pan, Yuguang Fang

* submitted to IEEE Wireless Communications 

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To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission Co-Design


Dec 21, 2020
Rui Chen, Liang Li, Kaiping Xue, Chi Zhang, Lingjia Liu, Miao Pan

* submitted to MOBIHOC 

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Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation


Dec 04, 2020
Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu

* Accepted to Offline Reinforcement Learning Workshop at Neural Information Processing Systems (2020) 

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Grounding Implicit Goal Description for Robot Indoor Navigation Via Recursive Belief Update


Nov 10, 2020
Rui Chen, Jinxin Zhao, Liangjun Zhang


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Explainable Recommender Systems via Resolving Learning Representations


Aug 21, 2020
Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi


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Towards Deeper Graph Neural Networks with Differentiable Group Normalization


Jun 12, 2020
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu


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Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS


Mar 09, 2020
Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu

* 12 pages with supplementary material; accepted to CVPR 2020 

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Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning


Jan 27, 2020
Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen


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Normal Assisted Stereo Depth Estimation


Dec 23, 2019
Uday Kusupati, Shuo Cheng, Rui Chen, Hao Su


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S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes


Oct 31, 2019
Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su

* Accepted at the Conference on Robot Learning (CoRL) 2019. Project webpage is available here: https://sites.google.com/view/s4ggrapsing 

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How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach


Sep 24, 2019
Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao


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Active Learning for Risk-Sensitive Inverse Reinforcement Learning


Sep 23, 2019
Rui Chen, Wenshuo Wang, Zirui Zhao, Ding Zhao

* 8 pages without acknowledgment, 7 figures, submitted to RA-L and ICRA 2020 for the IEEE Robotics and Automation Letters (RA-L) 

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Learning Lightweight Pedestrian Detector with Hierarchical Knowledge Distillation


Sep 20, 2019
Rui Chen, Haizhou Ai, Chong Shang, Long Chen, Zijie Zhuang

* 2019 IEEE International Conference on Image Processing (ICIP), pp. 1645-1649 
* Accepted at ICIP 2019 as Oral 

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How to Evaluate Self-Driving Testing Ground? A Quantitative Approach


Sep 20, 2019
Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao


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Point-Based Multi-View Stereo Network


Aug 12, 2019
Rui Chen, Songfang Han, Jing Xu, Hao Su

* Accepted as ICCV 2019 oral presentation 

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Physics-based Neural Networks for Shape from Polarization


Mar 25, 2019
Yunhao Ba, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, Achuta Kadambi


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GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments


Mar 20, 2019
Xiaotong Chen, Rui Chen, Zhiqiang Sui, Zhefan Ye, Yanqi Liu, R. Iris Bahar, Odest Chadwicke Jenkins

* 8 pages, 5 figures 

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Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games


Jan 14, 2019
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

* arXiv admin note: substantial text overlap with arXiv:1808.06573 

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Streaming Network Embedding through Local Actions


Nov 14, 2018
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen


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A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games


Oct 10, 2018
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

* to appear in ICDM 2018 

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An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles


Aug 09, 2018
Rui Chen, Mansur Arief, Ding Zhao


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Noise Level Estimation for Overcomplete Dictionary Learning Based on Tight Asymptotic Bounds


Dec 09, 2017
Rui Chen, Changshui Yang, Huizhu Jia, Xiaodong Xie


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Bayer Demosaicking Using Optimized Mean Curvature over RGB channels


May 17, 2017
Rui Chen, Huizhu Jia, Xiange Wen, Xiaodong Xie


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Learning a collaborative multiscale dictionary based on robust empirical mode decomposition


Apr 04, 2017
Rui Chen, Huizhu Jia, Xiaodong Xie, Wen Gao

* to be published in Neurocomputing 

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Correlation Preserving Sparse Coding Over Multi-level Dictionaries for Image Denoising


Dec 23, 2016
Rui Chen, Huizhu Jia, Xiaodong Xie, Wen Gao

* to be published in IEEE Signal Processing Letters 

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