Short Bio

I am currently a Ph.D. student of Software Engineering at ChongQing University. My research involves edge intelligence (model partition and model compression), reinforcement learning for edge caching and computing offloading, and defect detection at multi-access edge-cloud computing networks.

Research Interest:

• Model Partition: Fine-grained model partitioning for distributed inference, joint model partition and compression
• Reinforcement Learning: Q-learning, DQN, DDQN, Actor-Critic and DDPG methods
• Content Caching: Mobility-aware content caching, LFM-based content caching
• Defect Detection: Transfer learning for real-time surface defect detection

News

• [JAN. 2024] A paper entitled "Distributed DNN Inference with Fine-grained Model Partitioning in Mobile Edge Computing Networks" is accepted by IEEE TMC (CCF-A).
• [JAN. 2024] A paper entitled "Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks" is accepted by IEEE International Conference on Communications (ICC) (CCF-C).
• [DEC. 2023] A paper entitled "Collaborative DNNs Inference with Joint Model Partition and Compression in Mobile Edge-Cloud Computing Networks" is accepted by IEEE Wireless Communications and Networking Conference (WCNC) (CCF-C).
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[SEP. 2023] A paper entitled "Intelligent Content Caching and User Association in Mobile Edge Computing Networks for Smart Cities" is accepted by IEEE TNSE(JCR-1).
[JUL. 2023] A paper entitled "Transfer Learning for Real-Time Surface Defect Detection with Multi-Access Edge-Cloud Computing Networks" is accepted by IEEE TNSM(JCR-1).
[JAN. 2023] A paper entitled "Energy-Efficient Dynamic Asynchronous Federated Learning in Mobile Edge Computing Networks" is accepted by IEEE International Conference on Communications (ICC) (CCF-C).
[JAN. 2022] A paper entitled "Energy-Time Efficient Task Offloading for Mobile Edge Computing in Hot-Spot Scenarios" is accepted by IEEE International Conference on Communications (ICC) (CCF-C).
[JUN. 2021] 论文"大数据时代下车联网安全加密认证技术研究"被 计算机科学 期刊全文录用 (CCF-B).
[JAN 2021] 论文"边缘计算助力工业互联网：架构、应用与挑战"被 计算机科学 期刊全文录用 (CCF-B).
[AUG. 2020] A paper entitled "Mobility-Aware Content Caching and User Association for Ultra-Dense Mobile Edge Computing Networks" is accepted by IEEE GLOBECOM (CCF-C).
[DEC. 2019] A paper entitled "Task Offloading for End-Edge-Cloud Orchestrated Computing in Mobile Networks" is accepted by IEEE Wireless Communications and Networking Conference (WCNC) (CCF-C).

Patents

• 一种端-边-云协同计算的任务卸载优化方法. 授权号：ZL 201911402857.5.
• 一种移动边缘计算网络下内容缓存和用户关联优化方法. 授权号：ZL202010932408.8.
• 一种移动边缘计算系统中任务卸载的成本效率优化系统及方法. 授权号：ZL202011595152.2.
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一种基于机器学习算法的车载 ECU 安全风险评估系统. 授权号：ZL202110156103.7.
一种基于装配式建筑的标识解析系统. 授权号：ZL202110454843.9.
一种基于区块链的船舶轨迹监测系统. 授权号：ZL202111198724.8.
一种移动边缘计算网络下推荐赋能的边缘缓存优化方法. 授权号：ZL202210956961.4.
一种车联网中基于边缘计算和深度强化学习的动态服务放置方法. 授权号：ZL202210992657.5.
一种基于边缘计算和深度强化学习的多用户依赖性任务卸载方法. 专利申请号：202310185892.6.
一种移动边缘计算网络下推荐赋能的边缘缓存优化方法. 授权号：ZL202210956961.4.
一种移动边缘计算网络下基于强化学习的联邦学习方法、系统及介质. 专利申请号：202310580633.3.
一种边缘计算网络下分布式模型推理加速方法及系统. 专利申请号：202311688354.5.
一种边云协同下DNN 推理加速方法. 专利申请号：202410175179.8.

Journals