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Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning



Qi Wang , Ying Cui , Chenglin Li , Junni Zou , Hongkai Xiong

* 16 pages, 7 figures, submitted to IEEE Trans. Signal Process. arXiv admin note: text overlap with arXiv:2109.08933 

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Analysis and Optimization of A Double-IRS Cooperatively Assisted System with A Quasi-Static Phase Shift Design



Gengfa Ding , Feng Yang , Lianghui Ding , Ying Cui

* 40 pages, 7 figures. This work is submitted to IEEE Trans.Wireless Commun. (under major revision) 

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PointAttN: You Only Need Attention for Point Cloud Completion



Jun Wang , Ying Cui , Dongyan Guo , Junxia Li , Qingshan Liu , Chunhua Shen


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Statistical Device Activity Detection for OFDM-based Massive Grant-Free Access



Yuhang Jia , Ying Cui , Wuyang Jiang

* 30 pages, 7 figures, be submitted to IEEE Transactions on WIreless Communications 

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An Optimization Framework for Federated Edge Learning



Yangchen Li , Ying Cui , Vincent Lau

* submitted to IEEE TWC. arXiv admin note: text overlap with arXiv:2110.12987 

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Optimization-Based GenQSGD for Federated Edge Learning



Yangchen Li , Ying Cui , Vincent Lau

* 6 pages, to appear in IEEE GLOBECOM 2021 

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Energy-efficient Cooperative Offloading for Edge Computing-enabled Vehicular Networks



Hewon Cho , Ying Cui , Jemin Lee

* 13 pages, 8 figures, submitted to IEEE Transactions on Wireless Communications 

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ML and MAP Device Activity Detections for Grant-Free Massive Access in Multi-Cell Networks



Dongdong Jiang , Ying Cui


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Sample-based and Feature-based Federated Learning via Mini-batch SSCA



Chencheng Ye , Ying Cui

* 18 pages, 4 figures. arXiv admin note: substantial text overlap with arXiv:2103.09506 

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