Identification of Wireless User Perception Based on Unsupervised Machine Learning. - Kaixuan Zhang; Guanghui Fan; Jun Zeng 005; Guan Gui 001 (ADHIP (1), 2019)

Machine Learning Based Quantitative Association Rule Mining Method for Evaluating Cellular Network Performance. - Guanghui Fan; Wenjuan Shi; Liang Guo 003; Jun Zeng 005; Kaixuan Zhang; Guan Gui 001 (IEEE Access, 2019)

Cell Scene Division and Visualization Based on Autoencoder and K-Means Algorithm. - Jun Zeng 005; Juan Wang 008; Liang Guo 003; Guanghui Fan; Kaixuan Zhang; Guan Gui 001 (IEEE Access, 2019)

WeUp: Wireless User Perception Based on Dimensional Reduction and Semi-Supervised Clustering. - Kaixuan Zhang; Wenjuan Shi; Jun Zeng 005; Guanghui Fan; Yu Wang 078; Guan Gui 001 (IEEE Access, 2019)

Random Forest Algorithm-Based Lightweight Comprehensive Evaluation for Wireless User Perception. - Kaixuan Zhang; Juan Wang 008; Wei Zhang 122; Ke Wang 005; Jun Zeng 005; Guanghui Fan; Guan Gui 001 (IEEE Access, 2019)

Cellular Network Performance using Machine Learning based Quantitative Association Rule Mining Method. - Guanghui Fan; Juan Wang 008; Kaixuan Zhang; Jun Zeng 005; Guan Gui 001 (VTC Spring, 2020)

Lightweight Comprehensive Evaluation Method for Wireless User Perception Based on Random Forest. - Kaixuan Zhang; Guanghui Fan; Jun Zeng 005; Guan Gui 001 (VTC Spring, 2020)

Deep Transfer Learning for 5G Massive MIMO Downlink CSI Feedback. - Jun Zeng 005; Zhengran He; Jinlong Sun; Bamidele Adebisi; Haris Gacanin; Guan Gui 001; Fumiyuki Adachi (WCNC, 2021)

Downlink CSI Feedback Algorithm With Deep Transfer Learning for FDD Massive MIMO Systems. - Jun Zeng 005; Jinlong Sun; Guan Gui 001; Bamidele Adebisi; Tomoaki Ohtsuki; Haris Gacanin; Hikmet Sari (IEEE Trans. Cogn. Commun. Netw., 2021)