Hongfu Liu

According to our database, Hongfu Liu authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

Hybrid Computing of Decentralized Applications in Edge Web 3.0: A Scheduling Strategy via Decision Transformer.

Zhongqi Miao, Xichun Cai, Lixing Chen, Yang Bai, Hongfu Liu, Zhe Qu, Pan Zhou, Xinping Guan

IEEE Trans. Mob. Comput., July, 2026

Playing Close to the Vest: Competitive Information Propagation in Partially Observed Dual-Population Mean-Field Games.

Dun Tan, Lixing Chen, Bo Zhang, Hongfu Liu, Hao Peng, Shenghong Li, Yang Bai, Pan Zhou

Proceedings of the ACM Web Conference 2026, 2026

2025

A Novel Lightweight YOLO Method for Satellite Remote Sensing via Matrix Decomposition.

Hongfu Liu, Hongyu Fu, Bin Li, Cheng Sun, Shenghong Li, Chenglin Zhao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Federated Learning for Radar Gesture Recognition Based on Spike Timing-Dependent Plasticity.

Mengjun Zhang, Bin Li, Hongfu Liu, Chenglin Zhao

IEEE Trans. Aerosp. Electron. Syst., 2024

How to Efficiently Manage Critical Infrastructure Vulnerabilities? Toward Large Code-graph Models.

Hongying Zhang, Gaolei Li, Shenghong Li, Hongfu Liu, Shuo Wang, Jianhua Li

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

2023

Privacy-Encoded Federated Learning Against Gradient-Based Data Reconstruction Attacks.

Hongfu Liu, Bin Li, Changlong Gao, Pei Xie, Chenglin Zhao

IEEE Trans. Inf. Forensics Secur., 2023

A Novel Deep Learning Framework for Efficient Automatic Modulation Recognition of Sub-Nyquist Sampled Signals.

Wendi Gao, Hongfu Liu, Ziping Wei, Bin Li, Chenglin Zhao

Proceedings of the 22nd International Symposium on Communications and Information Technologies, 2023

2022

Joint Massive MIMO CSI Estimation and Feedback via Randomized Low-Rank Approximation.

Ziping Wei, Hongfu Liu, Bin Li, Chenglin Zhao

IEEE Trans. Veh. Technol., 2022

Tiny Machine Learning (Tiny-ML) for Efficient Channel Estimation and Signal Detection.

Hongfu Liu, Ziping Wei, Hengsheng Zhang, Bin Li, Chenglin Zhao

IEEE Trans. Veh. Technol., 2022

2021

Random sketch learning for deep neural networks in edge computing.

Bin Li, Peijun Chen, Hongfu Liu, Weisi Guo, Xianbin Cao, Junzhao Du, Chenglin Zhao, Jun Zhang

Nat. Comput. Sci., 2021

Randomized Low-Rank Approximation Based Massive MIMO CSI Compression.

Ziping Wei, Haozhan Li, Hongfu Liu, Bin Li, Chenglin Zhao

IEEE Commun. Lett., 2021

2020

Deep Learning Based Nonlinear Signal Detection in Millimeter-Wave Communications.

Hongfu Liu, Xu Yang, Peijun Chen, Mengwei Sun, Bin Li, Chenglin Zhao

IEEE Access, 2020