Performance Improvement of Chaotic Baseband Wireless Communication Using Echo State Network. - Hai-Peng Ren 001; Hui-Ping Yin; Chao Bai; Junliang Yao (IEEE Trans. Commun., 2020)

Artificial intelligence enhances the performance of chaotic baseband wireless communication. - Hai-Peng Ren 001; Hui-Ping Yin; Hong-Er Zhao; Chao Bai; Celso Grebogi (IET Commun., 2021)

Direct symbol decoding using GA-SVM in chaotic baseband wireless communication system. - Hui-Ping Yin; Haipeng Ren 001 (J. Frankl. Inst., 2021)

Autocorrelation Invariance Property of Chaos for Wireless Communication. - Hui-Ping Yin; Hai-Peng Ren 001; Celso Grebogi (CoRR, 2022)

Echo state network based symbol detection in chaotic baseband wireless communication. - Hui-Ping Yin; Chao Bai; Haipeng Ren 001 (Digit. Commun. Networks, 2023)

Deep-Learning-Based Channel Estimation for Chaotic Wireless Communication. - Hui-Ping Yin; Xiao-Hui Zhao; Junliang Yao; Haipeng Ren 001 (IEEE Wirel. Commun. Lett., 2024)

NOMA System Performance Improvement Using Chaos and Deep Learning. - Hui-Ping Yin; Haipeng Ren 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)