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Jun Fang

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An In-depth Study of Stochastic Backpropagation

Sep 30, 2022
Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe

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Towards Regression-Free Neural Networks for Diverse Compute Platforms

Sep 27, 2022
Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia

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Confederated Learning: Federated Learning with Decentralized Edge Servers

May 30, 2022
Bin Wang, Jun Fang, Hongbin Li, Xiaojun Yuan, Qing Ling

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Over-the-Air Federated Multi-Task Learning via Model Sparsification and Turbo Compressed Sensing

May 08, 2022
Haoming Ma, Xiaojun Yuan, Zhi Ding, Dian Fan, Jun Fang

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Spatial Channel Covariance Estimation and Two-Timescale Beamforming for IRS-Assisted Millimeter Wave Systems

Apr 17, 2022
Hongwei Wang, Jun Fang, Huiping Duan, Hongbin Li

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Compressed Channel Estimation for IRS-Assisted Millimeter Wave OFDM Systems: A Low-Rank Tensor Decomposition-Based Approach

Mar 30, 2022
Xi Zheng, Peilan Wang, Jun Fang, Hongbin Li

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Beam Training and Alignment for RIS-Assisted Millimeter Wave Systems:State of the Art and Beyond

Mar 25, 2022
Peilan Wang, Jun Fang, Weizheng Zhang, Zhi Chen, Hongbin Li, Wei Zhang

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A Variational Bayesian Inference-Inspired Unrolled Deep Network for MIMO Detection

Sep 25, 2021
Qian Wan, Jun Fang, Yinsen Huang, Huiping Duan, Hongbin Li

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Joint Active and Passive Beamforming for IRS-Assisted Radar

Aug 09, 2021
Fangzhou Wang, Hongbin Li, Jun Fang

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Recent Advances on Sub-Nyquist Sampling-Based Wideband Spectrum Sensing

May 07, 2021
Jun Fang, Bin Wang, Hongbin Li, Ying-Chang Liang

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