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Xiaoming Chen

Target Sensing with Intelligent Reflecting Surface: Architecture and Performance



Xiaodan Shao , Changsheng You , Wenyan Ma , Xiaoming Chen , Rui Zhang

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* Accepted by IEEE Journal on Selected Areas in Communications Special Issue on Integrated Sensing and Communication 
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Electromagnetic Effective Degree of Freedom of a MIMO System in Free Space



Shuai S. A. Yuan , Zi He , Xiaoming Chen , Chongwen Huang , Wei E. I. Sha

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* IEEE Antennas and Wireless Propagation Letters, 2021 
 * 5 pages, 5 figures 
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Unsourced Random Massive Access with Beam-Space Tree Decoding



Jingze Che , Zhaoyang Zhang , Zhaohui Yang , Xiaoming Chen , Caijun Zhong , Derrick Wing Kwan Ng

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* Accepted by IEEE JSAC special issue on Next Generation Multiple Access 
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C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel Representation and Prediction



Zhuoran Xiao , Zhaoyang Zhang , Chongwen Huang , Xiaoming Chen , Caijun Zhong , Mérouane Debbah

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Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition Kernels



Zexi Hu , Xiaoming Chen , Henry Wing Fung Yeung , Yuk Ying Chung , Zhibo Chen

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Generalized Memory Approximate Message Passing



Feiyan Tian , Lei Liu , Xiaoming Chen

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* This article provides a universal GMAMP framework including the existing OAMP/VAMP, GVAMP, and MAMP as instances. It gives new directions to construct low-complexity AMP algorithms for unitarily-invariant systems. BO-GMAMP is an example that overcomes the IID-matrix limitation of GAMP and avoids the high-complexity matrix inverse in GVAMP 
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Exploiting Simultaneous Low-Rank and Sparsity in Delay-Angular Domain for Millimeter-Wave/Terahertz Wideband Massive Access



Xiaodan Shao , Xiaoming Chen , Caijun Zhong , Zhaoyang Zhang

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* IEEE Transactions on Wireless Communications, 2021 
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A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access



Xiaodan Shao , Lei Cheng , Xiaoming Chen , Chongwen Huang , Derrick Wing Kwan Ng

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* IEEE GLOBECOM 2021 
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