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Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth

Oct 29, 2020
Wei Chen, Bowen Zhang, Shi Jin, Bo Ai, Zhangdui Zhong

* IEEE Journal on Selected Areas in Communications (JSAC), accepted 

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Robot-assisted Backscatter Localization for IoT Applications

May 21, 2020
Shengkai Zhang, Wei Wang, Sheyang Tang, Shi Jin, Tao Jiang

* To appear in IEEE Transactions on Wireless Communications. arXiv admin note: substantial text overlap with arXiv:1908.03297 

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Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning

Mar 17, 2020
Yong Zeng, Xiaoli Xu, Shi Jin, Rui Zhang


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Federated Learning with Differential Privacy: Algorithms and Performance Analysis

Nov 08, 2019
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farokhi Farhad, Shi Jin, Tony Q. S. Quek, H. Vincent Poor


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Performance Analysis on Federated Learning with Differential Privacy

Nov 01, 2019
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farokhi Farhad, Shi Jin, Tony Q. S. Quek, H. Vincent Poor


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Localizing Backscatters by a Single Robot With Zero Start-up Cost

Aug 09, 2019
Shengkai Zhang, Wei Wang, Sheyang Tang, Shi Jin, Tao Jiang


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Model-Driven Deep Learning for Joint MIMO Channel Estimation and Signal Detection

Jul 22, 2019
Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

* 27 Pages, 8 Figures, 1 Table. This paper has been submitted to the IEEE for possible publication 

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Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

May 04, 2019
Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

* 5 pages, 4 figures, updated manuscript, International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019). arXiv admin note: substantial text overlap with arXiv:1903.04766 

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Artificial Intelligence-aided OFDM Receiver: Design and Experimental Results

Dec 20, 2018
Peiwen Jiang, Tianqi Wang, Bin Han, Xuanxuan Gao, Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

* 29 pages, 13 figures, submitted to IEEE Journal on Selected Areas in Communications 

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Model-Driven Deep Learning for Physical Layer Communications

Sep 17, 2018
Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu

* 14 pages,6 figures 

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Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

Oct 27, 2017
Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas


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