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Jie Xu

An End-to-End Differentiable Framework for Contact-Aware Robot Design


Jul 15, 2021
Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, Pulkit Agrawal

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* Robotics: Science and Systems 
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Probabilistic Human Motion Prediction via A Bayesian Neural Network


Jul 14, 2021
Jie Xu, Xingyu Chen, Xuguang Lan, Nanning Zheng

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* Accepted at ICRA 2021 
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Multi-Objective Graph Heuristic Search for Terrestrial Robot Design


Jul 13, 2021
Jie Xu, Andrew Spielberg, Allan Zhao, Daniela Rus, Wojciech Matusik

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* IEEE International Conference on Robotics and Automation (ICRA 2021) 
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Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering


Jul 07, 2021
Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He

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* Because some important information about the authors hasn't been confirmed, and our manuscript need to be improved and revised. The new version may need a long time to modified, so we decide to withdrew it 
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Contrastive Multi-Modal Clustering


Jun 21, 2021
Jie Xu, Huayi Tang, Yazhou Ren, Xiaofeng Zhu, Lifang He

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Semi-supervised Optimal Transport with Self-paced Ensemble for Cross-hospital Sepsis Early Detection


Jun 18, 2021
Ruiqing Ding, Yu Zhou, Jie Xu, Yan Xie, Qiqiang Liang, He Ren, Yixuan Wang, Yanlin Chen, Leye Wang, Man Huang

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* 14 pages, 9 figures 
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Dynamic Metasurface Antennas for Energy Efficient Massive MIMO Uplink Communications


Jun 17, 2021
Li You, Jie Xu, George C. Alexandropoulos, Jue Wang, Wenjin Wang, Xiqi Gao

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DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact


Jun 09, 2021
Yifei Li, Tao Du, Kui Wu, Jie Xu, Wojciech Matusik

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User Grouping and Reflective Beamforming for IRS-Aided URLLC


May 26, 2021
Hailiang Xie, Jie Xu, Ya-Feng Liu, Liang Liu, Derrick Wing Kwan Ng

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* submitted for possible journal publication 
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Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges


Apr 14, 2021
Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen

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* 7 pages, 6 pages, accepted to IEEE Communications Magazine 
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Self-supervised Discriminative Feature Learning for Multi-view Clustering


Mar 28, 2021
Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu

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UAV-Enabled Wireless Power Transfer: A Tutorial Overview


Feb 27, 2021
Lifeng Xie, Xiaowen Cao, Jie Xu, Rui Zhang

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Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning


Feb 02, 2021
Letian Zhang, Lixing Chen, Jie Xu

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Personalized Education in the AI Era: What to Expect Next?


Jan 19, 2021
Setareh Maghsudi, Andrew Lan, Jie Xu, Mihaela van der Schaar

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Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks


Jan 10, 2021
Jie Xu, Heqiang Wang, Lixing Chen

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Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph


Jan 04, 2021
Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu

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A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization


Dec 29, 2020
Zhenglei He, Kim Phuc Tran, Sebastien Thomassey, Xianyi Zeng, Jie Xu, Chang Haiyi

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* Computers in Industry, Elsevier, 2020 
 * arXiv admin note: text overlap with arXiv:2012.01101 
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Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning


Dec 02, 2020
Zhenglei He, Kim Phuc Tran, Sebastien Thomassey, Xianyi Zeng, Jie Xu, Changhai Yi

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5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence


Oct 19, 2020
Qingqing Wu, Jie Xu, Yong Zeng, Derrick Wing Kwan Ng, Naofal Al-Dhahir, Robert Schober, A. Lee Swindlehurst

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* Submitted to IEEE JSAC 
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Neural Dialogue State Tracking with Temporally Expressive Networks


Oct 03, 2020
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

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* Accepted by Findings of EMNLP 2020 
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Parallel Interactive Networks for Multi-Domain Dialogue State Generation


Oct 03, 2020
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

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* Accepted by EMNLP 2020 
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A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy


Aug 21, 2020
Jie Xu, Wei Zhang, Fei Wang

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Deep Embedded Multi-view Clustering with Collaborative Training


Jul 26, 2020
Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu

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Adversarial Machine Learning based Partial-model Attack in IoT


Jul 10, 2020
Zhengping Luo, Shangqing Zhao, Zhuo Lu, Yalin E. Sagduyu, Jie Xu

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Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective


Apr 09, 2020
Jie Xu, Heqiang Wang

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D2D-Enabled Data Sharing for Distributed Machine Learning at Wireless Network Edge


Jan 28, 2020
Xiaoran Cai, Xiaopeng Mo, Junyang Chen, Jie Xu

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* Submit to IEEE Wireless Communications Letters 
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