Deep Learning-Based Hybrid Precoding for FDD Massive MIMO-OFDM Systems with a Limited Pilot and Feedback Overhead. - Minghui Wu 002; Zhen Gao 001; Zhijie Gao; Di Wu; Yang Yang 007; Yang Huang 001 (ICC Workshops, 2022)

Deep Learning-Based Rate-Splitting Multiple Access for Massive MIMO-OFDM Systems With Imperfect CSIT. - Minghui Wu 002; Ziwei Wan; Yang Wang 154; Shicong Liu; Zhen Gao 001 (ISWCS, 2022)

Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems With Implicit CSI. - Zhen Gao 001; Minghui Wu 002; Chun Hu; Feifei Gao; Guanghui Wen; Dezhi Zheng; Jun Zhang 007 (IEEE J. Sel. Areas Commun., 2022)

Knowledge-Driven Deep Learning Based Channel Estimation for Terahertz Extra-Large MIMO Systems. - Kuiyu Wang; Zhen Gao 001; Yifei Zhang; Tong Qin; Rui Na; Minghui Wu 002; Zhongxiang Li (ICCT, 2023)

Data-Driven Deep Learning-Based Rate-Splitting Multiple Access for FDD Massive MIMO-OFDM Systems with Implicit CSI. - Minghui Wu 002; Zhen Gao 001; Chun Hu; Zhongxiang Li (SPAWC, 2023)

Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO. - Minghui Wu 002; Zhen Gao 001; Yang Huang 001; Zhenyu Xiao; Derrick Wing Kwan Ng; Zhaoyang Zhang 001 (IEEE J. Sel. Areas Commun., 2023)

Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network. - Minghui Wu 002; Zhen Gao 001; Zhaocheng Wang 001; Dusit Niyato; George K. Karagiannidis; Sheng Chen 001 (IEEE J. Sel. Areas Commun., 2025)

Residual Cross-Attention Transformer-Based Multi-User CSI Feedback With Deep Joint Source-Channel Coding. - Hengwei Zhang; Minghui Wu 002; Li Qiao 001; Ling Liu; Ziqi Han; Zhen Gao 001 (IEEE Wirel. Commun. Lett., 2025)