Qingyu Li

According to our database, Qingyu Li authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Spectrally Enhanced Subcarrier Filtering OFDM via Waveform Index Modulation.

Fuchen Xu, Guanghui Liu, Yusha Liu, Chengxiang Liu, Qingyu Li, Hongjun Liu

IEEE Trans. Wirel. Commun., 2026

GNN-Enhanced Binary Loop Detection for NOMA-AFDM.

Qingyu Li, Yusha Liu, Guanghui Liu, Dan Tian, Fuchen Xu, Chengxiang Liu

IEEE Trans. Wirel. Commun., 2026

AFDM Transceiver Optimization for PAPR Reduction.

Hongjun Liu, Yusha Liu, Guanghui Liu, Dan Tian, Yao Sun, Qingyu Li, Fuchen Xu, Chengxiang Liu

IEEE Trans. Commun., 2026

Deep Learning Aided Low Complexity Expectation Propagation Turbo Detection for AFDM.

Qingyu Li, Guanghui Liu, Yusha Liu, Hongjun Liu, Fuchen Xu, Chengxiang Liu

IEEE Trans. Commun., 2026

2025

End-to-End Optimized Non-Orthogonal Multicarrier Waveform Design via Deep Learning.

Chengxiang Liu, Guanghui Liu, Fuchen Xu, Qingyu Li, Hongjun Liu, Lei Zhang, Muhammad Ali Imran

IEEE Trans. Commun., December, 2025

PAPR Performance of Filter Shapes Index Modulation: Analysis and Optimization.

Fuchen Xu, Guanghui Liu, Ji Zhou, Chengxiang Liu, Qingyu Li, Yanbo Zhao, Xiangqian Xu

IEEE Trans. Veh. Technol., June, 2025

Neural Network Aided FTN Transmission Over Doubly Selective Fading Channels: Waveform Learning, Channel Estimation and Data Detection.

Chengxiang Liu, Guanghui Liu, Fuchen Xu, Qingyu Li, Lei Zhang, Muhammad Ali Imran

IEEE Trans. Veh. Technol., April, 2025

Low Complexity Expectation-Propagation-Based AFDM Detection.

Qingyu Li, Guanghui Liu, Hongjun Liu, Fuchen Xu, Chengxiang Liu

Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

Neural Network Aided Equalization for AFDM Systems with Power Amplifier Nonlinearity.

Hongjun Liu, Guanghui Liu, Fuchen Xu, Qingyu Li

Proceedings of the IEEE International Conference on Communications, 2025

2024

Deep Learning-Based Downlink OTFS-SCMA.

Qingyu Li, Guanghui Liu, Yanbo Zhao, Chengxiang Liu, Fuchen Xu

IEEE Wirel. Commun. Lett., December, 2024

2023

Exploring the performance of the DL-based OTFS detection scheme in Internet of vehicles.

Yi Gong, Qingyu Li, Lei Liu, Fanke Meng, Xiangwang Hou, Zhan Xu

Veh. Commun., October, 2023

ViterbiNet-Based Signal Detection for OTFS System.

Yi Gong, Qingyu Li, Fanke Meng, Xinru Li, Zhan Xu

IEEE Commun. Lett., March, 2023

2022

Residual Learning based Channel Estimation for OTFS system.

Qingyu Li, Yi Gong, Fanke Meng, Zhongjie Li, Linlong Miao, Zhan Xu

Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

Exploring the Performance of Receiver Algorithm in OTFS Based on CNN.

Qingyu Li, Yi Gong, Jianyu Wang, Fanke Meng, Zhan Xu

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Gaussian mixture model-based Expectation-Maximization signal processing algorithm in power-efficiency networks.

Yi Gong, Fanke Meng, Qingyu Li, Keping Yu, Shahid Mumtaz, Sami Muhaidat

Proceedings of the IEEE International Conference on Communications, 2022

Model-driven Deep Learning Based Channel Estimation for HPO-MIMO.

Yujia Liu, Qingyu Li, Fanke Meng, Zixin Xu, Yi Gong

Proceedings of the 15th International Congress on Image and Signal Processing, 2022

Deep Learning-Based Channel Estimation for HPO-MIMO Systems in IoV Scenario.

Xinru Li, Qingyu Li, Fanke Meng, Zixin Xu, Zhan Xu, Yi Gong

Proceedings of the 15th International Congress on Image and Signal Processing, 2022

A novel Channel Estimation Method based on Deep Neural Network for OTFS system.

Qingyu Li, Yi Gong, Fanke Meng, Lingyi Han, Zhan Xu

Proceedings of the 15th International Congress on Image and Signal Processing, 2022

2021

Data-Driven Receiver for OTFS System with Deep Learning.

Qingyu Li, Yi Gong, Fanke Meng, Zhan Xu

Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021