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A New Implementation of Federated Learning for Privacy and Security Enhancement


Aug 03, 2022
Xiang Ma, Haijian Sun, Rose Qingyang Hu, Yi Qian


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Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition


Jun 30, 2022
Lin Yuan, Zhen He, Qiang Wang, Leiyang Xu, Xiang Ma

* 6 pages, 4 figures 

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User Scheduling for Federated Learning Through Over-the-Air Computation


Aug 05, 2021
Xiang Ma, Haijian Sun, Qun Wang, Rose Qingyang Hu


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DT-Net: A novel network based on multi-directional integrated convolution and threshold convolution


Sep 26, 2020
Hongfeng You, Long Yu, Shengwei Tian, Xiang Ma, Yan Xing, Xiaojie Ma


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Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval


Aug 19, 2020
Tao Wu, Ellie Ka-In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao

* Accepted at CIKM 2020 

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Scheduling Policy and Power Allocation for Federated Learning in NOMA Based MEC


Jun 21, 2020
Xiang Ma, Haijian Sun, Rose Qingyang Hu


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A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation


Mar 25, 2020
Hongfeng You, Shengwei Tian, Long Yu, Xiang Ma, Yan Xing, Ning Xin


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Deep Image Feature Learning with Fuzzy Rules


May 25, 2019
Xiang Ma, Zhaohong Deng, Peng Xu, Kup-Sze Choi, Shitong Wang


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