Data-Driven Receiver for OTFS System with Deep Learning. - Qingyu Li 003; Yi Gong 002; Fanke Meng; Zhan Xu (IC-NIDC, 2021)

A novel Channel Estimation Method based on Deep Neural Network for OTFS system. - Qingyu Li 003; Yi Gong 002; Fanke Meng; Lingyi Han; Zhan Xu (CISP-BMEI, 2022)

Deep Learning-Based Channel Estimation for HPO-MIMO Systems in IoV Scenario. - Xinru Li; Qingyu Li 003; Fanke Meng; Zixin Xu; Zhan Xu; Yi Gong 002 (CISP-BMEI, 2022)

Model-driven Deep Learning Based Channel Estimation for HPO-MIMO. - Yujia Liu; Qingyu Li 003; Fanke Meng; Zixin Xu; Yi Gong 002 (CISP-BMEI, 2022)

Gaussian mixture model-based Expectation-Maximization signal processing algorithm in power-efficiency networks. - Yi Gong 002; Fanke Meng; Qingyu Li 003; Keping Yu; Shahid Mumtaz; Sami Muhaidat (ICC, 2022)

Exploring the Performance of Receiver Algorithm in OTFS Based on CNN. - Qingyu Li 003; Yi Gong 002; Jianyu Wang; Fanke Meng; Zhan Xu (ICC Workshops, 2022)

Residual Learning based Channel Estimation for OTFS system. - Qingyu Li 003; Yi Gong 002; Fanke Meng; Zhongjie Li; Linlong Miao; Zhan Xu (ICCC Workshops, 2022)

ViterbiNet-Based Signal Detection for OTFS System. - Yi Gong 002; Qingyu Li 003; Fanke Meng; Xinru Li; Zhan Xu (IEEE Commun. Lett., 2023)

Exploring the performance of the DL-based OTFS detection scheme in Internet of vehicles. - Yi Gong 002; Qingyu Li 003; Lei Liu 031; Fanke Meng; Xiangwang Hou; Zhan Xu (Veh. Commun., 2023)

Deep Learning-Based Downlink OTFS-SCMA. - Qingyu Li 003; Guanghui Liu 001; Yanbo Zhao; Chengxiang Liu; Fuchen Xu (IEEE Wirel. Commun. Lett., 2024)

Neural Network Aided Equalization for AFDM Systems with Power Amplifier Nonlinearity. - Hongjun Liu 003; Guanghui Liu 001; Fuchen Xu; Qingyu Li 003 (ICC, 2025)

Low Complexity Expectation-Propagation-Based AFDM Detection. - Qingyu Li 003; Guanghui Liu 001; Hongjun Liu 003; Fuchen Xu; Chengxiang Liu (VTC2025-Fall, 2025)

Neural Network Aided FTN Transmission Over Doubly Selective Fading Channels: Waveform Learning, Channel Estimation and Data Detection. - Chengxiang Liu; Guanghui Liu 001; Fuchen Xu; Qingyu Li 003; Lei Zhang 035; Muhammad Ali Imran 001 (IEEE Trans. Veh. Technol., 2025)

PAPR Performance of Filter Shapes Index Modulation: Analysis and Optimization. - Fuchen Xu; Guanghui Liu 001; Ji Zhou; Chengxiang Liu; Qingyu Li 003; Yanbo Zhao; Xiangqian Xu (IEEE Trans. Veh. Technol., 2025)

End-to-End Optimized Non-Orthogonal Multicarrier Waveform Design via Deep Learning. - Chengxiang Liu; Guanghui Liu 001; Fuchen Xu; Qingyu Li 003; Hongjun Liu 003; Lei Zhang 035; Muhammad Ali Imran 001 (IEEE Trans. Commun., 2025)

Deep Learning Aided Low Complexity Expectation Propagation Turbo Detection for AFDM. - Qingyu Li 003; Guanghui Liu 001; Yusha Liu; Hongjun Liu 003; Fuchen Xu; Chengxiang Liu (IEEE Trans. Commun., 2026)

AFDM Transceiver Optimization for PAPR Reduction. - Hongjun Liu 003; Yusha Liu; Guanghui Liu 001; Dan Tian; Yao Sun 002; Qingyu Li 003; Fuchen Xu; Chengxiang Liu (IEEE Trans. Commun., 2026)

GNN-Enhanced Binary Loop Detection for NOMA-AFDM. - Qingyu Li 003; Yusha Liu; Guanghui Liu 001; Dan Tian; Fuchen Xu; Chengxiang Liu (IEEE Trans. Wirel. Commun., 2026)

Spectrally Enhanced Subcarrier Filtering OFDM via Waveform Index Modulation. - Fuchen Xu; Guanghui Liu 001; Yusha Liu; Chengxiang Liu; Qingyu Li 003; Hongjun Liu 003 (IEEE Trans. Wirel. Commun., 2026)