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Mingkai Xu
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2020 – today
- 2023
- [j1]Liqing Shan, Songtao Gao, Shuaishuai Chen, Mingkai Xu, Fenghui Zhang, Xuecai Bao, Ming Chen:
Energy-efficient resource allocation in NOMA-integrated V2X networks. Comput. Commun. 197: 23-33 (2023) - [c5]Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang:
FedDisco: Federated Learning with Discrepancy-Aware Collaboration. ICML 2023: 39879-39902 - [i1]Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang:
FedDisco: Federated Learning with Discrepancy-Aware Collaboration. CoRR abs/2305.19229 (2023) - 2021
- [c4]Mingkai Xu, Fenghui Zhang, Liqing Shan, Michael Mao Wang:
Kalman Filter Based Precoding Approach for Inter-Beam Interference Cancellation in Maritime MTC Satellite. ICCCS 2021: 943-948 - [c3]Fenghui Zhang, Michael Mao Wang, Shuaishuai Chen, Liqing Shan, Ming Xiao, Mingkai Xu:
Applying NOMA to NR V2X: A Graph-based Matching and Cooperative Game Approach. VTC Spring 2021: 1-5 - 2020
- [c2]Mingkai Xu, Xingjun Wang, Xiaoqing Zhang, Guangxiang Bin, Ziqian Jia, Kexin Chen:
Computation-Efficient Multi-Model Deep Neural Network for Sleep Stage Classification. ASSE 2020: 1-8 - [c1]Ziqian Jia, Xingjun Wang, Xiaoqing Zhang, Mingkai Xu:
Automatic Arousal Detection Using Multi-model Deep Neural Network. ICCCS 2020: 130-133
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