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Xu Chen — most-cited papers & profile · Large Language Models
← authors
·
overview
Xu Chen
28
papers ·
1108
citations ·
61
h-index
Jiangnan University · Sun Yat-sen University · Hong Kong University of Science and Technology · China Telecom (China) · Cloud Computing Center · Renmin University of China
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Most-cited papers
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning
2020 · 427 citations
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework
2020 · 417 citations
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm
2023 · 60 citations
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm
2023 · 60 citations
TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning
2021 · 57 citations
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers
2022 · 53 citations
Neural Message Passing for Visual Relationship Detection
2022 · 10 citations
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN
2018 · 4 citations
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
2021 · 4 citations
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring
2020 · 3 citations
Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control
2021 · 3 citations
3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs
2022 · 2 citations
An Opponent-Aware Reinforcement Learning Method for Team-to-Team Multi-Vehicle Pursuit via Maximizing Mutual Information Indicator
2022 · 2 citations
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit
2023 · 2 citations
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network
2020 · 1 citations
Topics
Federated Learning
Multi-Agent
Edge Computing
Data Heterogeneity
Communication
Privacy
Safe RL
Value-Based
Optimization
GNN Architectures