A Cognitive Radio Spectrum Sensing Method for an OFDM Signal Based on Deep Learning and Cycle Spectrum. - Guangliang Pan; Jun Li 074; Fei Lin (Int. J. Digit. Multim. Broadcast., 2020)

A Signal Detection Scheme Based on Deep Learning in OFDM Systems. - Guangliang Pan; Zitong Liu; Wei Wang 100; Minglei Li (PIMRC, 2021)

Deep Stacked Autoencoder-Based Long-Term Spectrum Prediction Using Real-World Data. - Guangliang Pan; Qihui Wu 001; Guoru Ding; Wei Wang 100; Jie Li 027; Fuyuan Xu; Bo Zhou 012 (IEEE Trans. Cogn. Commun. Netw., 2023)

An Autoformer-CSA Approach for Long-Term Spectrum Prediction. - Guangliang Pan; Qihui Wu 001; Guoru Ding; Wei Wang 100; Jie Li 027; Bo Zhou 012 (IEEE Wirel. Commun. Lett., 2023)

Deep Learning for Spectrum Prediction in Cognitive Radio Networks: State-of-the-Art, New Opportunities, and Challenges. - Guangliang Pan; David K. Y. Yau; Bo Zhou 012; Qihui Wu 001 (CoRR, 2024)

Joint Bandwidth and Spectrum Usage Zones Flexible Allocation for Coexisting Multiple UAV Networks: An Interference Graph Approach. - Xiang Shao; Wei Wang 100; Bo Zhou 012; Guangliang Pan; Weiwei Jiang 003 (IEEE Internet Things J., 2025)

A Small-Sample Interturn Short-Circuit Diagnostic Framework Based on Gradient Spectral Generative Adversarial Network and Graph Attention. - Minglei Li; Yanfeng Geng; Xiang Wu; Weiliang Wang; Xin Jin; Yisen Yang; Guangliang Pan (IEEE Trans. Instrum. Meas., 2025)

Spectrum Prediction With Deep 3D Pyramid Vision Transformer Learning. - Guangliang Pan; Qihui Wu 001; Bo Zhou 012; Jie Li 027; Wei Wang 100; Guoru Ding; David K. Y. Yau (IEEE Trans. Wirel. Commun., 2025)