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Zeng Yue （曾悦）


NJUST

Associate Professor

Office: CST 2079


NanJing

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Nanjing University

I'm currently an associate professor in the Department of Computer Science and Engineering, Nanjing University of Science and Technology, led by Prof. Tang Jinhui. 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 in the Department of Nanjing University of Science and Technology. He received his Ph.D. from Nanjing University and received his M.S. degree from Southwest University. 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 deep reinforcement learning, machine learning training and inference, federated learning, and serverless computing.

Research Interests

    Edge Intelligence
    Reinforcement Learning
    ML Training
    ML Inference
    5G/6G

News

    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. Yue Zeng, Zhihao Qu, Song Guo, Baoliu Ye, Jie Zhang, Jing Li, Bin Tang, "SafeDRL: Dynamic Microservice Provisioning with Reliability and Latency Guarantees", IEEE Transactions on Computers (TC), 2023. [CCF-A]
  2. Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, Jie Zhang, "RuleDRL: Reliability-Aware SFC Provisioning with Bounded Approximations in Dynamic Environments", IEEE Transactions on Services Computing (TSC), 2023. [CCF-A]
  3. Yue Zeng, Baoliu Ye, Bin Tang, Sanglu Lu, Feng Xu, Song Guo, and Zhihao Qu, "Mobility-aware Proactive Flow Setup in Software-Defined Mobile Edge Networks", IEEE Transactions on Communications (TCOM) , 2023. [CCF-B]
  4. Yue Zeng, Songtao Guo, and Guiyan Liu, "Energy efficient Device Activation, Rule Installation and Data Transmission in Software Defined DCNs", IEEE Transactions on Cloud Computing (TCC), 2022. [CCF-C]
  5. Yue Zeng, Baoliu Ye, Bin Tang, Songtao Guo, and Zhihao Qu , "Scheduling Coflows of Multi stage Jobs under Network Resource Constraints", Computer Networks (COMNET) , 2021. [CCF-B]
  6. Yue Zeng, Songtao Guo, and Guiyan Liu, "Comprehensive Link Sharing Avoidance and Switch Aggregation for Software-Defined Data Center Networks", Future Generation Computer Systems (FGCS), 2019. [CCF-C]
  7. Lu Yang, Songtao Guo, Defang Liu, Yue Zeng, Xianlong Jiao, Yuhao Zhou, "ConViTML: A Convolutional Vision Transformer-based Meta-Learning Framework for Real-Time Edge Network Traffic Classification", IEEE Transactions on Network and Service Management (TNSM), 2024. [CCF-C]
  8. Tuo Cao, Qinhui Wang, Yuhan Zhang, Zhuzhong Qian, Yue Zeng, Mingtao Ji, Hesheng Sun, Baoliu Ye, "Walking on Two Legs: Joint Service Placement and Computation Configuration for Provisioning Containerized Services at Edges", Computer Networks (COMNET), 2023. [CCF-B]
  9. Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Yue Zeng, Baoliu Ye, and Xiaohua Jia, "Digital Twin-Enabled Service Provisioning in Continual Edge Learning", IEEE Transactions on Mobile Computing (TMC), 2023. [CCF-A]
  10. Pan Li, Guiyan Liu, Songtao Guo, Yue Zeng, "Traffic-aware Efficient Consistency Update in NFV-enabled Software Defined Networking", Computer Networks (COMNET), 2023. [CCF-B]
  11. Guozhi Li, Yan Tong, Ge Zhang, and Yue Zeng, "An energy fault and consumption optimization strategy in wireless sensor networks with edge computing", Journal of King Saud University-Computer and Information Sciences, 2023. [CCF-None]
  12. Yifu Yao , Songtao Guo, Guiyan Liu, Pan Li, and Yue Zeng, "Forecasting assisted VNF scaling in NFV enabled networks", Computer Networks (COMNET), 2020. [CCF-B]
  13. Liang Liu , Songtao Guo, Guiyan Liu, and Yue Zeng, "Priority-based Online Flow Scheduling for Network Throughput Maximization in Software Defined Networking", Concurrency and Computation: Practice and Experience (CCPE), 2020. [CCF-C]
  14. Pan Li, Songtao Guo, Chengsheng Pan, Li Yang, Guiyan Liu, and Yue Zeng, "Fast Congestion free Consistent Flow Forwarding Rules Update in Software Defined Networking", Future Generation Computer Systems (FGCS), 2019. [CCF-C]
Conference
  1. Shunpeng Hua, Baoliu Ye, Yue Zeng, Zhihao Qu, Bin Tang, "Joint ControllerPlacement and Flow Assignment in Software Defined Edge Networks", International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2023. [CCF-C]
  2. Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo, "(ML)2P-Encoder: On Exploration of Channel-class Correlation for Multi-label Zero-shot Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [CCF-A]

Academic Services

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

Grants

  • 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，排名13
  • 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，排名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，排名13
  • JW装备发展部预研项目，边缘智能服务XXX技术，360万元（到账204万），2022.08-2024.07，排名12
  • 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，排名9