Area of research
Computer Networks and Communications · Electrical and Electronic Engineering
Research interest
Research interests include Computer science, Computer network, Distributed computing, Network packet, Scalability, and Reinforcement learning.
A Comprehensive Survey of Knowledge-Driven Deep Learning for Intelligent Wireless Network Optimization in 6G
Knowledge-Driven Resource Allocation for Wireless Networks: A WMMSE Unrolled Graph Neural Network Approach
Multi-Agent Reinforcement Learning-Based Joint Caching and Routing in Heterogeneous Networks
Service-Oriented Network Resource Orchestration in Space-Air-Ground Integrated Network
Reliable PPO-Based Concurrent Multipath Transfer for Time-Sensitive Applications
DOFMS: DRL-Based Out-of-Order Friendly Multipath Scheduling in Mobile Heterogeneous Networks
Deadline-Constrained Multi-Agent Collaborative Transmission for Delay-Sensitive Applications
Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach
In-Network Collaborative Link Flooding Attack Defense with Adaptive Anomaly Analysis
Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach
Cybertwin-Driven DRL-Based Adaptive Transmission Scheduling for Software Defined Vehicular Networks
AI-Driven Packet Forwarding With Programmable Data Plane: A Survey
Deep Reinforcement Learning Based Resource Management for DNN Inference in Industrial IoT
Softwarized IoT Network Immunity Against Eavesdropping With Programmable Data Planes
Reliable Cybertwin-Driven Concurrent Multipath Transfer With Deep Reinforcement Learning
Distributed asynchronous learning for multipath data transmission based on P-DDQN
Deep Reinforcement Learning based Adaptive Transmission Control in Vehicular Networks
A Comprehensive Simulation Platform for Space-Air-Ground Integrated Network
Cooperative Edge Caching: A Multi-Agent Deep Learning Based Approach
P4NIS: Improving network immunity against eavesdropping with programmable data planes
Fast-INT: Light-weight and Efficient In-band Network Telemetry in Programmable Data Plane
Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach
Efficient DDoS attacks mitigation for stateful forwarding in Internet of Things
SDATP: An SDN-Based Adaptive Transmission Protocol for Time-Critical Services
SDATP: An SDN-Based Traffic-Adaptive and Service-Oriented Transmission Protocol
Distributed Conditional Gradient Online Learning for IoT Optimization
InterestFence: Simple but efficient way to counter interest flooding attack
An SDN-Based Transmission Protocol with In-Path Packet Caching and Retransmission
Coupled or Uncoupled? Multi-path TCP Congestion Control for High-Speed Railway Networks
Enabling Collaborative Edge Computing for Software Defined Vehicular Networks