Deep Learning-Based Joint Detection for OFDM-NOMA Scheme. - Yihang Xie; Kah Chan Teh; Alex C. Kot (IEEE Commun. Lett., 2021)

Robust Deep Learning-Based End-to-End Receiver for OFDM System With Non-Linear Distortion. - Yihang Xie; Xiaobei Liu; Kah Chan Teh; Yong Liang Guan 001 (IEEE Commun. Lett., 2022)

Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. - Qiyu Kang; Kai Zhao 010; Yang Song 012; Yihang Xie; Yanan Zhao 003; Sijie Wang; Rui She 001; Wee Peng Tay (AAAI, 2024)

Signal Enhancement Aided End-to-End Deep Learning Approach for Joint Denoising and Spectrum Sensing. - Zhengyang Su; Kah Chan Teh; Yihang Xie; Sirajudeen Gulam Razul; Alex C. Kot (IEEE Trans. Veh. Technol., 2024)

Comm-Transformer: A Robust Deep Learning-Based Receiver for OFDM System Under TDL Channel. - Yihang Xie; Kah Chan Teh; Alex C. Kot (IEEE Trans. Commun., 2024)

BEM-ANN Receiver With Linear Complexity for Severe Doubly-Selective Fading Channels. - Xiaobei Liu; Yong Liang Guan 001; Yihang Xie; Yan Qin; Kah Chan Teh (IEEE Trans. Veh. Technol., 2024)

Ensemble Learning Aided Large Communication Model for Multi-Scenario Nonlinear Distortion. - Yihang Xie; Xiaobei Liu; Zhengyang Su; Kah Chan Teh; Yong Liang Guan 001; Chaosan Yang (IEEE Trans. Cogn. Commun. Netw., 2025)