Deep Neural Hybrid Beamforming for Multi-User mmWave Massive MIMO System. - Jiyun Tao; Jing Xing; Jienan Chen; Chuan Zhang 001; Shengli Fu (GlobalSIP, 2019)

Constrained Deep Neural Network Based Hybrid Beamforming for Millimeter Wave Massive MIMO Systems. - Jiyun Tao; Qi Wang 049; Siyu Luo; Jienan Chen (ICC, 2019)

Energy-Efficiency Millimeter Wave Communication System Based a New Beam Modulation Scheme. - Shuai Li 016; Jienan Chen; Jing Xing; Jiyun Tao; Zeyan Lu (ISCAS, 2020)

Autoencoder Neural Network Based Intelligent Hybrid Beamforming Design for mmWave Massive MIMO Systems. - Jiyun Tao; Jienan Chen; Jing Xing; Shengli Fu; Junfei Xie (IEEE Trans. Cogn. Commun. Netw., 2020)

Wireless Beam Modulation: An Energy- and Spectrum-Efficient Communication Technology for Future Massive IoT Systems. - Jienan Chen; Shuai Li 016; Jiyun Tao; Shengli Fu; Gerald E. Sobelman (IEEE Wirel. Commun., 2020)

DsMLP: A Learning-Based Multi-Layer Perception for MIMO Detection Implemented by Dynamic Stochastic Computing. - Qidie Wu; Jinsheng Kuang; Jiyun Tao; Jienan Chen; Warren J. Gross (IEEE Trans. Signal Process., 2022)

Over-the-Air Antenna Array Calibration for mmWave Hybrid Beamforming Systems Based on Monte Carlo Markov Chain Method. - Manlin Wang; Jienan Chen; Jiyun Tao; Hongye Li (IEEE Trans. Veh. Technol., 2023)

A deep learning driven hybrid beamforming method for millimeter wave MIMO system. - Jienan Chen; Jiyun Tao; Siyu Luo; Shuai Li 016; Chuan Zhang 001; Wei Xiang 001 (Digit. Commun. Networks, 2023)