Computation-Efficient Multi-Model Deep Neural Network for Sleep Stage Classification. - Mingkai Xu; Xingjun Wang; Xiaoqing Zhang; Guangxiang Bin; Ziqian Jia; Kexin Chen (ASSE, 2020)

Automatic Arousal Detection Using Multi-model Deep Neural Network. - Ziqian Jia; Xingjun Wang; Xiaoqing Zhang; Mingkai Xu (ICCCS, 2020)

Kalman Filter Based Precoding Approach for Inter-Beam Interference Cancellation in Maritime MTC Satellite. - Mingkai Xu; Fenghui Zhang; Liqing Shan; Michael Mao Wang (ICCCS, 2021)

Applying NOMA to NR V2X: A Graph-based Matching and Cooperative Game Approach. - Fenghui Zhang; Michael Mao Wang; Shuaishuai Chen; Liqing Shan; Ming Xiao; Mingkai Xu (VTC Spring, 2021)

FedDisco: Federated Learning with Discrepancy-Aware Collaboration. - Rui Ye 001; Mingkai Xu; Jianyu Wang; Chenxin Xu; Siheng Chen; Yanfeng Wang 001 (ICML, 2023)

Energy-efficient resource allocation in NOMA-integrated V2X networks. - Liqing Shan; Songtao Gao; Shuaishuai Chen; Mingkai Xu; Fenghui Zhang; Xuecai Bao; Ming Chen 001 (Comput. Commun., 2023)

Semantic-aided Parallel Image Transmission Compatible with Practical System. - Mingkai Xu; Yongpeng Wu 001; Yuxuan Shi; Xiang-Gen Xia 001; Mérouane Debbah; Wenjun Zhang 001; Ping Zhang 003 (CoRR, 2025)

Learnable Residual-Based Latent Denoising in Semantic Communication. - Mingkai Xu; Yongpeng Wu 001; Yuxuan Shi; Xiang-Gen Xia 001; Wenjun Zhang 001; Ping Zhang 003 (IEEE Wirel. Commun. Lett., 2025)