Deep Learning Based Nonlinear Signal Detection in Millimeter-Wave Communications. - Hongfu Liu 003; Xu Yang; Peijun Chen; Mengwei Sun; Bin Li 002; Chenglin Zhao (IEEE Access, 2020)

Randomized Low-Rank Approximation Based Massive MIMO CSI Compression. - Ziping Wei; Haozhan Li; Hongfu Liu 003; Bin Li 002; Chenglin Zhao (IEEE Commun. Lett., 2021)

Random sketch learning for deep neural networks in edge computing. - Bin Li 002; Peijun Chen; Hongfu Liu 003; Weisi Guo; Xianbin Cao 001; Junzhao Du; Chenglin Zhao; Jun Zhang 007 (Nat. Comput. Sci., 2021)

Tiny Machine Learning (Tiny-ML) for Efficient Channel Estimation and Signal Detection. - Hongfu Liu 003; Ziping Wei; Hengsheng Zhang; Bin Li 002; Chenglin Zhao (IEEE Trans. Veh. Technol., 2022)

Joint Massive MIMO CSI Estimation and Feedback via Randomized Low-Rank Approximation. - Ziping Wei; Hongfu Liu 003; Bin Li 002; Chenglin Zhao (IEEE Trans. Veh. Technol., 2022)

A Novel Deep Learning Framework for Efficient Automatic Modulation Recognition of Sub-Nyquist Sampled Signals. - Wendi Gao; Hongfu Liu 003; Ziping Wei; Bin Li 002; Chenglin Zhao (ISCIT, 2023)

Privacy-Encoded Federated Learning Against Gradient-Based Data Reconstruction Attacks. - Hongfu Liu 003; Bin Li 002; Changlong Gao; Pei Xie; Chenglin Zhao (IEEE Trans. Inf. Forensics Secur., 2023)

How to Efficiently Manage Critical Infrastructure Vulnerabilities? Toward Large Code-graph Models. - Hongying Zhang; Gaolei Li; Shenghong Li 001; Hongfu Liu 003; Shuo Wang 012; Jianhua Li 001 (LAMPS@CCS, 2024)

Federated Learning for Radar Gesture Recognition Based on Spike Timing-Dependent Plasticity. - Mengjun Zhang; Bin Li 002; Hongfu Liu 003; Chenglin Zhao (IEEE Trans. Aerosp. Electron. Syst., 2024)

A Novel Lightweight YOLO Method for Satellite Remote Sensing via Matrix Decomposition. - Hongfu Liu 003; Hongyu Fu; Bin Li 002; Cheng Sun; Shenghong Li 001; Chenglin Zhao (ICIC (22), 2025)