Kejiang Ye

PhD, Professor, Director

Center for Cloud Computing



Kejiang Ye is currently a Professor and the Director of the Research Center for Cloud Computing, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). He received his B.S and Ph.D degree both from Zhejiang University and was a Post Doctoral Research Associate at Carnegie Mellon University (CMU). His research interests include Cloud Computing, Big Data and Industrial Internet. He is a Distinguished Member of China Computer Federation (CCF).

Research Interests

Cloud Computing, Big Data, Industrial Internet


[1] National Key R&D Program of China, End-Edge-Cloud Interconnection Theory and Method for OT/IT Fusion, 2021.12-2024.11, PI

[2] NSFC Project, Reconfigurable Theory and Method of Industrial Internet Architecture for Complex and Multi-service Characteristics, 2023.1-2025.12, PI

[3] NSFC Project, Resource Management and Optimization Methods for Multi-tier Interactive Applications in Cloud Native System, 2021.1-2024.12, PI

[4] NSFC Project, Anomaly Detection Methods for Highly Interfered Sharing Clouds, 2018.1-2020.12, PI

Recent Publications

  1. X. Jiang, K. Ye. 《DartCloud: A Cloud Infrastructure Service Platform》, Science Press, 2015

  2. C. Lu, H. Xu, K. Ye, G. Xu, L. Zhang, G. Yang, C. Xu. Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms, European Conference on Computer Systems (EuroSys), 2023. (CCF A)

  3. S. Luo, H. Xu, K. Ye, G. Xu, L. Zhang, J. He, G. Yang, C. Xu. Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees, 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp.62-77, 2023. (CCF A)

  4. K. Cheng, Y. Zheng, T. Liu, L. Guan, P. Liu, H. Li, H. Zhu, K. Ye, L. Sun. Detecting Vulnerabilities in Linux-based Embedded Firmware with SSE-based On-demand Alias Analysis, 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023. (CCF A)

  5. S. Luo, H. Xu, K. Ye, G. Xu, L. Zhang, G. Yang, C. Xu. The Power of Prediction: Microservice Auto Scaling via Workload Learning, ACM Symposium on Cloud Computing (SoCC), pp.355-369, 2022.

  6. S. Luo, H. Xu, C. Lu, K. Ye, G. Xu, L. Zhang, Y. Ding, J. He, C. Xu. Characterizing Microservice Dependency and Performance: Alibaba trace analysis, ACM Symposium on Cloud Computing (SoCC), pp.412-426, 2021.(Best Paper Award!

  7. P. Lin, K. Ye*, Y. Hu, Y. Lin, C.-Z. Xu. A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification, IEEE/ACM Transactions on Networking, 2022. DOI: 10.1109/TNET.2022.3215507 (CCF A)

  8. Y. Wang, M. Li, H. Dai, K. Kent, K. Ye*, C. Xu. Deadlock Avoidance Algorithms for Recursion-Tree Modeled Requests in Parallel Executions, IEEE Transactions on Computers, vol.71, no.9, pp.2073-2087, 2022. (CCF A)

  9. S. Luo, H. Xu, C. Lu, K. Ye*, G. Xu, L. Zhang, J. He, C. Xu. An In-depth Study of Microservice Dependency and Runtime Performance, IEEE Transactions on Parallel and Distributed Systems, vol.33, no.12, pp.3901-3914, 2022. (CCF A)

  10. Y. Li, Y. Lin, Y. Wang, K. Ye*, and C. Xu. Serverless Computing: State-of-the-Art, Challenges and Opportunities, IEEE Transactions on Service Computing, vol.16, no.2, pp.1522-1539, 2023. (CCF A)

  11. M. Xu, C. Song, H. Wu, S. Gill, K. Ye*, C. Xu. esDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Computing Environments, ACM Transactions on Internet Technology, vol.22, no.3, pp.1-24, 2022. 

  12. K. Ye*, H. Shen, Y. Wang, C.-Z. Xu. Multi-tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization, IEEE Transactions on Cloud Computing, vol.10, no.2, pp.899-912, 2022.

  13. M. Xu, C. Song, S. Ilager, S. Gill, J. Zhao, K. Ye*, C. Xu. CoScal: Multifaceted Scaling of Microservices with Reinforcement Learning, IEEE Transactions on Network and Service Management, vol.19, no.4, pp.3995-4009, 2022. 

  14. J. Zhao, L. Zhang, K. Ye*, J. Ye, J. Zhang, F. Zhang, C. Xu. GLTC: A Metro Passenger Identification Method across AFC Data and Sparse WiFi Data, IEEE Transactions on Intelligent Transportation Systems, vol.23, no.10, pp.18337-18351, 2022.

  15. J. Ye, J. Zhao, K. Ye, C.-Z. Xu. How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey, IEEE Transactions on Intelligent Transportation Systems, vol.23, no.5, pp.3904-3924, 2022. (ESI Highly Cited Paper

  16. G. Li, S. Wang, K. Ye, M. Wen, D. Ng, M. Renzo. Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection, IEEE Wireless Communications Letters, 2022. DOI: 10.1109/LWC.2022.3213883

  17. J. Wu, H. Dai, Y. Wang, K. Ye, C. Xu. Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach, IEEE Internet of Things Journal, vol.10, no.2, pp.10764-10777, 2023.

  18. J. Wu, Y. Wang, B. Xie, S. Li, H. Dai, K. Ye, C. Xu. Joint Semantic Transfer Network for IoT Intrusion Detection, IEEE Internet of Things Journal, vol.10, no.4, pp.3368-3383, 2023.

  19. Z. Li, S. Wang, S. Zhang, M. Wen, K. Ye*, Y. Wu, D. Ng. Edge-Assisted V2X Motion Planning and Power Control under Channel Uncertainty, IEEE Transactions on Vehicular Technology, 2023. DOI: 10.1109/TVT.2023.3250654

  20. F. Zheng, J. Zhao, J. Ye, X. Gao, K. Ye, C. Xu. Metro OD Matrix Prediction based on Multi-view Passenger Flow Evolution Trend Modeling, IEEE Transactions on Big Data, vol.9, no.3, pp.991-1003, 2023.

  21. C. Gao, S. Chu, H. Xu, M. Xu, K. Ye*, C. Xu. Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks, IEEE Transactions on Cloud Computing, 2021. DOI:10.1109/TCC.2021.3129

  22. M. Du, Y. Wang, K. Ye, C.-Z. Xu. Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment, IEEE Transactions on Computers, vol.69, no.10, pp.1519-1531, 2020. (CCF A)