ZHONGWEI HUANG
Guangdong Polytechnic Normal University
Research areas: Computer Science · Computer Networks and Communications · IoT and Edge/Fog Computing · Software-Defined Networks and 5G · Reinforcement Learning in Robotics
About
Zhongwei Huang received his Ph.D. degree in artificial intelligence (AI) at School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China, 2024. He is also a visiting scholar of Shenzhen Guangming Laboratory, 2022. He is now a lecturer at the School of Cyber Security, Guangdong Polythecnic Normal University. His current research interests include Deep reinforcement learning (DRL), Multi-access Edge Computing (MEC), and Privacy-preserving industrial Internet of things (IIoT).
Employment
- 2024 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Fed-GPD: Federated Graph Process Distillation for Anomaly Detection in Lights-Out Manufacturing Save
- Cooperative Traffic Scheduling in Transportation Network: A Knowledge Transfer Method Save
- Trusted Collaborative Reinforcement Learning-based UAV-assisted Communication Save
- Knowledge-Collaboration-Based Resource Allocation in 6G IoT: A Graph Attention RL Approach Save
- Survey on task-centric robot battery management: A neural network framework Save
- Privacy-Preserving Deployment Mechanism for Service Function Chains Across Multiple Domains Save
- Task Decomposition and Hierarchical Scheduling for Collaborative Cloud-Edge-End Computing Save
- Collective reinforcement learning based resource allocation for digital twin service in 6G networks Save
- Delay Constrained SFC Orchestration for Edge Intelligence-Enabled IIoT: A DRL Approach Save
- Reinforcement Learning-Based Delay-Aware Path Exploration of Parallelized Service Function Chains Save
- Delay Constrained Hybrid Task Offloading of Internet of Vehicle: A Deep Reinforcement Learning Method Save
- APPM: Adaptive Parallel Processing Mechanism for Service Function Chains Save
- Composing and deploying parallelized service function chains Save