计算机科学与工程学院
南京理工大学

I'm currently an associate professor in the Department of Computer Science and Engineering, Nanjing University of Science and Technology, led by Prof. Junlong Zhou. I received my Ph.D. degree in the Department of Computer Science and Technology, Nanjing University, supervised by Prof. Baoliu Ye. I'm also a Research Assistant in the Computer Department of the Hong Kong Polytechnic University, supervised by Prof. Song Guo, IEEE Fellow. I received my B.S. degree from Southwest University, supervised by Prof. Songtao Guo.

Yue Zeng is currently an Associate Professor at the Nanjing University of Science and Technology, Nanjing, China. He received his Ph.D. degree in computer science from Nanjing University, Nanjing, China, in 2023. His research interests lie in the area of edge intelligence, deep reinforcement learning, machine learning training and inference, federated learning, and serverless computing, where he has published more than 20 papers in top journals and conferences, including IEEE Transactions on Mobile Computing, IEEE Transactions on Computers, IEEE Transactions on Services Computing, IEEE Transactions on Communications, and IEEE CVPR. He received the Best Paper Award from IEEE ICITES 2024.

曾悦，博士，现为南京理工大学计算机科学与工程学院副教授，硕士生导师。博士毕业于南京大学。目前担任中国计算机学会（CCF）分布式计算与系统专业委员会执行委员，CCF嵌入式系统专业委员会执行委员，江苏省计算机学会系统结构专业委员会委员。近年来一直从事边缘智能、联邦学习、大模型训练和推理的研究工作，并作为项目负责人承担了国家自然科学基金、江苏省自然科学基金等项目。截至目前，在 IEEE TC、IEEE TSC、IEEE TCOM、IEEE TMC、CVPR等国际重要期刊和重要会议发表论文二十余篇。

Research Interests

News

Experience

Selected Publications (Full Publications)

Journal
  1. ExpertDRL: Request Dispatching and Instance Configuration for Serverless Edge Inference with Foundation Models.   CCF-A  
    Yue Zeng, Junlong Zhou, Baoliu Ye, Zhihao Qu, Song Guo, Tianjian Gong, and Pan Li.
    IEEE Transactions on Mobile Computing (TMC), Early Access, 2025. [Link][BIB][PDF]
  2. SafeDRL: Dynamic Microservice Provisioning with Reliability and Latency Guarantees.   CCF-A  
    Yue Zeng, Zhihao Qu, Song Guo, Baoliu Ye, Jie Zhang, Jing Li, Bin Tang.
    IEEE Transactions on Computers (TC), 2024, 73(1): 235-248. [Link][BIB][PDF]
  3. RuleDRL: Reliability-Aware SFC Provisioning with Bounded Approximations in Dynamic Environments.   CCF-A  
    Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, Jie Zhang.
    IEEE Transactions on Services Computing (TSC), 2023, 16(5): 3651-3664. [Link][BIB][PDF]
  4. Mobility-aware Proactive Flow Setup in Software-Defined Mobile Edge Networks.   CCF-B  
    Yue Zeng, Baoliu Ye, Bin Tang, Sanglu Lu, Feng Xu, Song Guo, and Zhihao Qu.
    IEEE Transactions on Communications (TCOM), 2023, 71(3): 1549-1563. [Link][BIB][PDF]
  5. Reliability-Aware Hybrid SFC Backup and Deployment in Edge Computing.   CCF-B  
    Yue Zeng, Pan Li, Shanshan Lin, Bin Tang, Xiaoliang Wang, Zhihao Qu, Baoliu Ye, Song Guo, and Junlong Zhou.
    Computer Networks (COMNET) , Early Access, 2025. [Link][BIB][PDF]
  6. Scheduling Coflows of Multi stage Jobs under Network Resource Constraints.   CCF-B  
    Yue Zeng, Baoliu Ye, Bin Tang, Songtao Guo, and Zhihao Qu.
    Computer Networks (COMNET) , 2021, 184: 107686. [Link][BIB][PDF]
  7. JCSRC: Joint Client Selection and Resource Configuration for Energy-Efficient Multi-Task Federated Learning.   CCF-A  
    Junpeng Ke, Junlong Zhou, Dan Meng, Yue Zeng, Yizhou Shi, Xiangmou Qu, Song Guo.
    IEEE Transactions on Computing (TC), Early Access. [Link][BIB][PDF]
  8. Quality of Experience and Reliability-Aware Task Offloading and Scheduling for Multi-User Mobile-Edge Computing Systems.   CCF-A  
    Junlong Zhou, Xiangpeng Hou, Yue Zeng, Peijin Cong, Weiming Jiang, Song Guo.
    IEEE Transactions on Services Computing (TSC), Early Access. [Link][BIB][PDF]
  9. Digital Twin-Enabled Service Provisioning in Edge Computing via Continual Learning.   CCF-A  
    Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Yue Zeng, Baoliu Ye, and Xiaohua Jia.
    IEEE Transactions on Mobile Computing (TMC), 2024, 23(6): 7335-7350. [Link][BIB][PDF]
Conference
  1. Joint DNN Partition and Thread Allocation Optimization for Energy-Harvesting MEC Systems.   CCF-B  
    Yizhou Shi, Liying Li, Yue Zeng, Peijin Cong, and Junlong Zhou
    Design, Automation & Test in Europe (DATE), 2025. [Link][BIB][PDF]
  2. ERSCHED: An Efficient and Reliable Scheduler for Workflows in Multi-Edge Systems (Best Paper).   CCF-None  
    Linhui Wang, Liying Li, Yue Zeng, Peijin Cong, Junlong Zhou
    International Conference on Intelligent Technology and Embedded Systems (ICITES), 2024. [Link][BIB][PDF]
  3. (ML)2P-Encoder: On Exploration of Channel-class Correlation for Multi-label Zero-shot Learning.   CCF-A  
    Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 23859-23868. [Link][BIB][PDF]

Academic Services

Chair TPC Member APC Member Reviewer

Team Members

所属团队：分布式计算与体系结构研究所（Institute of Distributed Computing and Architecture）
指导/协作指导学生
    龚天健（南理工）
    俞佳英（南理工）
    王琳蕙（南理工）
    曾佑泠（南理工）
    钱程（南理工）
    林珊珊（南理工）
    乐海于（重庆三峡）
    张陈臣（重庆三峡）
    经涪燕（重庆三峡）
    王立波（重庆三峡）
    戴念彩（重庆三峡）

Grants

主持项目
  • 国家省自然科学基金，青年基金，面向基础模型的边缘推理服务关键技术研究，62402226，2025.01-2027.12.
  • 江苏省自然科学基金，青年基金，面向基石模型的边缘推理资源管理技术研究，30924010817，2024.07-2026.06.
  • 中央高校基本科研业务费，基础研究专项，面向基础模型的边缘推理资源管理技术研究，30924010817，2024.07-2026.06.
  • 南大软件新技术国家重点实验室，开放课题基金，面向基础模型的边缘推理任务资源管理技术研究，KFKT2024B17，2024.06-2026.05.

Invited Talks

  • "面向基础模型任务的资源管理"，河海大学计算机与软件学院，2025.02.25.
  • "面向边缘应用的资源管理技术研究"，南京大学计算机学院，2025.01.18.