Fei Luo

Orcid: 0000-0001-9760-1520

Affiliations:
  • Great Bay University, School of Computing and Information Technology, Dongguan, China
  • Shenzhen University, School of Computer Science, China
  • Queen Mary University of London, School of Electronic Engineering and Computer Science, UK (PhD 2020)


According to our database1, Fei Luo authored at least 37 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Collaborative Observation Imputation and Trajectory Prediction via Consistency Evaluation.
IEEE Trans. Mob. Comput., July, 2026

MTxLSTM: Multi-Task Learning for Gesture Recognition and Person Identification Using a Miniature Radar Sensor.
IEEE Trans. Mob. Comput., June, 2026

PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices.
CoRR, April, 2026

FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices.
CoRR, April, 2026

Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection.
CoRR, April, 2026

Wi-Spike: A Low-power WiFi Human Multi-action Recognition Model with Spiking Neural Networks.
CoRR, March, 2026

Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction.
CoRR, March, 2026

RadarAttn: Efficient Radar-Based Human Activity Recognition by Integrating Visual Attention and Self-Attention.
IEEE Trans. Netw., 2026

TransHAR: Toward Intent-Aware Transformer-Based Human Activity Recognition in Intelligent IoT Communication Systems.
IEEE Internet Things J., 2026

2025
Efficient blockchain-based mutual remote authentication for enhancing privacy and security in cloud internet of things environment.
Peer Peer Netw. Appl., September, 2025

ActivityMamba: A CNN-Mamba Hybrid Neural Network for Efficient Human Activity Recognition.
IEEE Trans. Mob. Comput., August, 2025

Bi-DeepViT: Binarized Transformer for Efficient Sensor-Based Human Activity Recognition.
IEEE Trans. Mob. Comput., May, 2025

Energy-Efficient Wireless Resource Allocation for Heterogeneous Federated Multitask Networks Based on Evolutionary Learning.
IEEE Trans. Ind. Informatics, May, 2025

CardiacMamba: A Multimodal RGB-RF Fusion Framework with State Space Models for Remote Physiological Measurement.
CoRR, February, 2025

Attack Detection and Optimal Deployment for Underwater Constrained Wireless Sensor Networks via Hybrid Trust Evidence.
IEEE Trans. Netw. Sci. Eng., 2025

Improved Multi-Task Radar Sensing via Attention-Based Feature Distillation and Contrastive Learning.
IEEE Trans. Inf. Forensics Secur., 2025

Decentralized Federated Learning in Metacomputing Based on Directed Acyclic Graph With Optimized Tip Selector.
IEEE Internet Things J., 2025

MetaDP-HE: Dynamic Privacy-Protection With Meta-Model in End-Edge-Cloud Systems.
IEEE Internet Things J., 2025

Federated Learning for Internet of Underwater Things Based on Lightweight Distillation and Data Refinement.
IEEE Internet Things J., 2025

Lightweight anomaly detection in federated learning via separable convolution and convergence acceleration.
Internet Things, 2025

Human Activity Recognition by Using Enhanced Radar Point Cloud 2D Histograms and Doppler Feature Fusion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Three-Dimensional Trajectory Prediction with 3DMoTraj Dataset.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

OD-GCResNet: A Deep Learning Model for Kitchen Activity Recognition Using Micro-Doppler Signatures.
Proceedings of the IEEE International Conference on Communications, 2025

2024
Vision Transformers for Human Activity Recognition Using WiFi Channel State Information.
IEEE Internet Things J., September, 2024

EdgeActNet: Edge Intelligence-Enabled Human Activity Recognition Using Radar Point Cloud.
IEEE Trans. Mob. Comput., May, 2024

An Integrated Sensing and Communication System for Fall Detection and Recognition Using Ultrawideband Signals.
IEEE Internet Things J., January, 2024

2023
Binarized Neural Network for Edge Intelligence of Sensor-Based Human Activity Recognition.
IEEE Trans. Mob. Comput., March, 2023

Activity-Based Person Identification Using Multimodal Wearable Sensor Data.
IEEE Internet Things J., January, 2023

Spectro-Temporal Modeling for Human Activity Recognition Using a Radar Sensor Network.
IEEE Trans. Geosci. Remote. Sens., 2023

A Survey on X.509 Public-Key Infrastructure, Certificate Revocation, and Their Modern Implementation on Blockchain and Ledger Technologies.
IEEE Commun. Surv. Tutorials, 2023

2022
A Privacy-Preserving and Transparent Identity Management Scheme for Vehicular Social Networking.
IEEE Trans. Veh. Technol., 2022

A Trajectory-Based Gesture Recognition in Smart Homes Based on the Ultrawideband Communication System.
IEEE Internet Things J., 2022

Survey on Issues and Recent Advances in Vehicular Public-Key Infrastructure (VPKI).
IEEE Commun. Surv. Tutorials, 2022

Trajectory-based Fall Detection and Recognition Using Ultra-Wideband Signals.
Proceedings of the IEEE Global Communications Conference, 2022

2021
The Ultra-Wideband Communication System: A Human Gesture Recognition Approach.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020
Temporal Convolutional Networks for Multiperson Activity Recognition Using a 2-D LIDAR.
IEEE Internet Things J., 2020

2019
Kitchen Activity Detection for Healthcare using a Low-Power Radar-Enabled Sensor Network.
Proceedings of the 2019 IEEE International Conference on Communications, 2019


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