椭圆形图片

Zeng Yue (曾悦)


NJUST

Associate Professor

Office: CST 2079


NanJing

Email

Google Scholar

Github

ORCID

DBLP

ResearchGate


I'm currently an associate professor in the Department of Computer Science and Engineering, Nanjing University of Science and Technology, led by Prof. Jinhui Tang, Prof. Gongxuan Zhang and 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 received the Ph.D and M.D. degrees from Nanjing University and Southwest University, respectively. He is currently an associate professor in Nanjing University of Science and Technology. He has published more than a dozen papers in top journals and conferences, including IEEE Transactions on Computers, IEEE Transactions on Services Computing, IEEE Transactions on Mobile Computing, IEEE Transactions on Communications, Transactions on Cloud Computing and IEEE CVPR. His research interests include edge intelligence, deep reinforcement learning, machine learning training and inference, federated learning, and serverless computing.

Research Interests

    Edge Intelligence
    Reinforcement Learning
    Federated Learning
    Model Training/Inference
    5G/6G

News

    2024.06: Congratulations, a new project is funded by the State Key Laboratory of New Software Technology of Nanjing University!
    2024.04: Congratulations, hired as Associate Professor by Nanjing University of Science and Technology!
    2024.03: Congratulations, a new paper has been accepted by TNSM 2024!
    2023.12: Congratulations, a new paper has been accepted by COMNET 2023!
    2023.11: Congratulations, a new paper has been accepted by TMC 2023!
    2023.10: Congratulations, a new paper has been accepted by TC 2023!
    2023.07: Congratulations, a new paper has been accepted by ICA3PP 2023!
    2023.05: Congratulations, a new paper has been accepted by TSC 2023!
    2023.05: Congratulations, a new paper has been accepted by COMNET 2023!
    2023.03: Congratulations, a new paper has been accepted by CVPR 2023!
    2023.01: Congratulations, a new paper has been accepted by TCOM 2023!

Experience

Publications

Journal
  1. 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]
  2. 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]
  3. 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]
  4. Energy efficient Device Activation Rule Installation and Data Transmission in Software Defined DCNs.   CCF-C  
    Yue Zeng, Songtao Guo, and Guiyan Liu
    IEEE Transactions on Cloud Computing (TCC), 2022, 10(1): 396-410. [Link][BIB][PDF]
  5. 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]
  6. Comprehensive Link Sharing Avoidance and Switch Aggregation for Software-Defined Data Center Networks.   CCF-C  
    Yue Zeng, Songtao Guo, and Guiyan Liu
    Future Generation Computer Systems (FGCS), 2019, 91: 25-36. [Link][BIB][PDF]
  7. ConViTML: A Convolutional Vision Transformer-based Meta-Learning Framework for Real-Time Edge Network Traffic Classification.   CCF-C  
    Lu Yang, Songtao Guo, Defang Liu, Yue Zeng, Xianlong Jiao, and Yuhao Zhou
    IEEE Transactions on Network and Service Management (TNSM), 2024, Early Access. [Link][BIB][PDF]
  8. Walking on Two Legs: Joint Service Placement and Computation Configuration for Provisioning Containerized Services at Edges.   CCF-B  
    Tuo Cao, Qinhui Wang, Yuhan Zhang, Zhuzhong Qian, Yue Zeng, Mingtao Ji, Hesheng Sun, and Baoliu Ye
    Computer Networks (COMNET), 2024, 239: 110144. [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]
  10. Traffic-aware Efficient Consistency Update in NFV-enabled Software Defined Networking.   CCF-B  
    Pan Li, Guiyan Liu, Songtao Guo, and Yue Zeng
    Computer Networks (COMNET), 2023, 228: 109755. [Link][BIB][PDF]
  11. An Energy Fault and Consumption Optimization Strategy in Wireless Sensor Networks with Edge Computing.   CCF-None  
    Guozhi Li, Yan Tong, Ge Zhang, and Yue Zeng
    Journal of King Saud University-Computer and Information Sciences, 2023, 97: 743-754. [Link][BIB][PDF]
  12. Forecasting Assisted VNF Scaling in NFV Enabled Networks.   CCF-B  
    Yifu Yao , Songtao Guo, Guiyan Liu, Pan Li, and Yue Zeng
    Computer Networks (COMNET), 2020, 97: 743-754. [Link][BIB][PDF]
  13. Priority-based Online Flow Scheduling for Network Throughput Maximization in Software Defined Networking.   CCF-C  
    Liang Liu , Songtao Guo, Guiyan Liu, and Yue Zeng
    Concurrency and Computation: Practice and Experience (CCPE), 2020, 97: 743-754. [Link][BIB][PDF]
  14. Fast Congestion free Consistent Flow Forwarding Rules Update in Software Defined Networking.   CCF-C  
    Pan Li, Songtao Guo, Chengsheng Pan, Li Yang, Guiyan Liu, and Yue Zeng
    Future Generation Computer Systems (FGCS), 2019, 97: 743-754. [Link][BIB][PDF]
Conference
  1. Joint ControllerPlacement and Flow Assignment in Software Defined Edge Networks.   CCF-C  
    Shunpeng Hua, Baoliu Ye, Yue Zeng, Zhihao Qu, Bin Tang
    International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2023, 14491: 21-38. [Link][BIB][PDF]
  2. (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

APC Member
  • SIGCOMM 2022
Reviewer
  • ICML 2024
  • ACM Computing Surveys
  • IEEE Internet of Things Journal
  • The Journal of Supercomputing
  • Transactions on Emerging Telecommunications Technologies
  • IEEE Open Journal of the Communications Society
  • CCF ICSS 2024
  • Telecommunication Systems

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)
    孙晋(教授)
    张毅(副教授)
    李伦波(副教授)
    刘冬梅(副教授)
    纪程(副教授)
    吴超(副教授)
    丛佩金(副教授)
    李丽颖(副教授)
    徐湘灏(讲师)
    指导/协作指导学生
    许妍(南理工)
    钮洁(南理工)
    淘长乐(南理工)
    曾佑泠(南理工)
    林思捷(南理工)
    申钰凡(南理工)
    金彤(南理工)
    冦小勇(南理工)
    宋逸聪(南京大学)
    王鑫栋(南京大学)
    王国庆(南京大学)
    乐海于(重庆三峡)
    张陈臣(重庆三峡)

Grants

主持项目
  • 南京大学计算机软件新技术全国重点实验室,面向基础模型的边缘推理任务资源管理技术研究,KFKT2024B17,2万元,2014.06-2026.05.
参与项目
  • 国家重点研发计划课题,科研行为数据可信溯源及隐私保护技术,384万元,2018.05-2021.04.
  • 国家自然科学基金重点项目,基于边缘计算的云端融合理论方法与关键技术研究,300万元,2019.01-2023.12.
  • 江苏省重点研发计划项目,面向新一代ICT体系架构的云计算支撑平台研发,120万元,2017.06-2020.06.
  • JW装备发展部预研项目,边缘智能服务XXX技术,360万元,2022.08-2024.07.
  • 国家自然科学基金面上项目,基于虚拟化技术的软件定义数据中心网络架构及多播调度策略研究,68万元,2018.01-2021.12.