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 Digital Technology and Systems (e.g., Cloud Computing, Big Data and Industrial Internet). He is a Senior Member of IEEE and a Distinguished Member of China Computer Federation (CCF).

Digital Technology and Systems (Cloud Computing, Big Data, Industrial Internet)

[1] National Key R&D Program of China, 2021.12-2024.11, PI

[2] NSFC Project, 2023.1-2025.12, PI

[3] NSFC Project, 2021.1-2024.12, PI

[4] NSFC Project, 2018.1-2020.12, PI

1. W. Chen, C. Lu, H. Xu, K. Ye, C. Xu. Multiplexing Dynamic Deep Learning Workloads with SLO-awareness in GPU Clusters, European Conference on Computer Systems (EuroSys), 2025. (CCF A)
2. X. Wei, X. Gao, K. Ye, C. Xu, Y. Wang. A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing, IEEE Transactions on Mobile Computing (TMC), 24(4), 2580-2593, 2025. (CCF A)
3. L. Wen, M. Xu, S. Gill, M. Hilman, S. Srirama, K. Ye, C. Xu. StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications, ACM Transactions on Autonomous and Adaptive Systems (TAAS), 20(1):1-25, 2025.
4. J. Chen, Y. Lin, S. Peng, S. Wu, K. Kent, H. Dai, K. Ye, Y. Wang. Understanding Serverless Inference in Mobile-Edge Networks: A Benchmark Approach, IEEE Transactions on Cloud Computing (TCC), 13(1):198-212, 2025.
5. L. Chen, S. Luo, C. Lin, Z. Mo, H. Xu, K. Ye, C. Xu. Derm: SLA-aware Resource Management for Highly Dynamic Microservices, The 51st International Symposium on Computer Architecture (ISCA), 424-436, 2024. (CCF A)
6. C. Lu, H. Xu, Y. Li, W. Chen, K. Ye, C. Xu. SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 1-17, 2024. (CCF A)
7. S. Luo, C. Lin, K. Ye, G. Xu, L. Zhang, G. Yang, H. Xu, C. Xu. Optimizing Resource Management for Shared Microservices: A Scalable System Design, ACM Transactions on Computer Systems (TOCS), 42(1):1-28, 2024. (CCF A)
8. X. Wei, K. Ye, X. Shi, C. Xu, Y. Wang. Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds, IEEE Transactions on Parallel and Distributed Systems (TPDS), 35(8):1456-1468, 2024. (CCF A)
9. H. Bai, M. Xu, K. Ye, R. Buyya, C. Xu. DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters, IEEE Transactions on Service Computing (TSC), 17(6):3473-3484, 2024. (CCF A)
10. S. Chu, C. Gao, M. Xu, K. Ye, C. Xu, Z. Xiao. Efficient Multi-Task Computation Offloading Game for Mobile Edge Computing, IEEE Transactions on Service Computing (TSC), 17(1):30-46, 2024. (CCF A)
11. W. Chen, Z. Mo, H. Xu, K. Ye, C. Xu. Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 1-15, 2023. (CCF A)
12. 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), 416-432, 2023. (CCF A)
13. 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), 62-77, 2023. (CCF A)
14. 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), 360-372, 2023. (CCF A)
15. X. Chen, X. Gao, J. Zhao, K. Ye, C. Xu. AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models, International Conference on Computer Vision (ICCV), 4562-4572, 2023. (CCF A)
16. 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 (TON), 31(3):1369-1384, 2023. (CCF A)
17. 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 (TSC), 16(2):1522-1539, 2023. (CCF A)
18. 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 (TCC), 11(1):1038-1049, 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 (TVT), 72(7):9641-9646, 2023.
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 (TBD), 9(3):991-1003, 2023. 
21. 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), 355-369, 2022.
22. 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 (TPDS), 33(12):3901-3914, 2022. (CCF A)
23. 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 (TC), 71(9):2073-2087, 2022. (CCF A)
24. 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 (TOIT), 22(3):1-24, 2022. 
25. 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 (TCC), 10(2):899-912, 2022.
26. 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 (TNSM), 19(4):3995-4009, 2022. 
27. 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 (TITS), 23(10):18337-18351, 2022.
28. 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 (TITS), 23(5):3904-3924, 2022. 
29. 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), 412-426, 2021.（Best Paper Award）
30. M. Du, Y. Wang, K. Ye, C.-Z. Xu. Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment, IEEE Transactions on Computers (TC), 69(10):1519-1531, 2020. (CCF A)