General

Kejiang Ye

PhD, Professor, Deputy Director

Center for Cloud Computing

SIAT, CAS

kj.ye@siat.ac.cn

Biography

Kejiang Ye is currently a Professor and the Deputy Director of the Research Center for Cloud Computing, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). Before joining SIAT, he was a Post Doctoral Research Associate at Carnegie Mellon University (CMU), from 2014 to 2015, and was a Research Fellow at Wayne State University (WSU), from 2015 to 2016. He received his B.S and Ph.D degree both from Zhejiang University in 2008 and 2013 respectively. He was also a joint Ph.D student at The University of Sydney from 2012 to 2013. His research interests focus on the performance, energy, and reliability of Cloud computing, Big data and Network systems . He is a member of SPEC Research Group and is also a member of IEEE, ACM, CCF and CIE.

Research Interests

Cloud Computing, Big Data, Network Systems

Projects

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

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

Publications

- 2020 -
  1. Kejiang Ye, Chengzhi Lu, Sa Wang, Wenyan Chen, Guoyao Xu, Jing Guo. Application Analysis Modeling and Intelligent Management of Cloud Native Systems, Communication of China Computer Federation, vol.16, no.6, pp.37-43, 2020.

  2. Kejiang Ye, Haiying Shen, Yang Wang, Cheng-Zhong Xu. Multi-tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization, IEEE Transactions on Cloud Computing, 2020. DOI:10.1109/TCC.2020.2975788

  3. Mingzhe Du, Yang Wang, Kejiang Ye, Cheng-Zhong Xu. Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment, IEEE Transactions on Computers, vol.69, no.10, pp.1519-1531, 2020.

  4. Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu. How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey, IEEE Transactions on Intelligent Transportation Systems, 2020. DOI: 10.1109/TITS.2020.3043250

  5. Yang Wang, Shan Cao, Hongshuai Ren, Jianjun Li, Kejiang Ye, Cheng-Zhong Xu, Xi Chen. Towards Cost-Effective Service Migration in Mobile Edge: A Q-Learning Approach, Journal of Parallel and Distributed Computing, vol.146, pp.175-188, 2020.

  6. Wenyan Chen, Kejiang Ye, Chengzhi Lu, Dongdai Zhou, Cheng-Zhong Xu. Interference Analysis of Co-located Container Workloads: A Perspective from Hardware Performance Counters, Journal of Computer Science and Technology, vol.35, no.2, pp.412-417, 2020.

  7. Yuhang Zhang, Hongshuai Ren, Wensi Yang, Yang Wang, Kejiang Ye, Cheng-Zhong Xu. The Strong Sub-structure and Feature Attention Mechanism for Image Semantic Segmentation, Concurrency and Computation: Practice and Experience, 2020. DOI:10.1002/cpe.5920

  8. Wensi Yang, Qingfeng Yao, Kejiang Ye, Cheng-Zhong Xu. Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation, International Journal of Parallel Programming, vol.48, no.1, pp.61-79, 2020.

  9. Guomei Shi, Li Li, Jun Wang, Wenyan Chen, Kejiang Ye, ChengZhong Xu. HySync:Hybrid Federated Learning with Effective Synchronization, International Conference on High Performance Computing and Communications (HPCC), pp.628-633, 2020.

  10. Yanying Lin, Kejiang Ye, Ming Chen, Naitian Deng, Tailin Wu, Cheng-Zhong Xu. LBNN: Perceiving the State Changes of a Core Telecommunications Network via Linear Bayesian Neural Network, 26th IEEE International Conference on Parallel and Distributed Systems (ICPADS), pp.72-80, 2020.

  11. Kelang Tian, Jingjie Guo, Kejiang Ye, Cheng-Zhong Xu. Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting, 32th International Conference on Tools with Artificial Intelligence (ICTAI), pp.714-721, 2020.

  12. Jingjie Guo, Kelang Tian, Kejiang Ye, Cheng-Zhong Xu. MA-LSTM: A Multi-attention Based LSTM for Complex Pattern Extraction, 25th International Conference on Pattern Recognition (ICPR), pp.3605-3611, 2020.

  13. Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu. AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network, 25th International Conference on Pattern Recognition (ICPR), pp.5130-5136, 2020.

  14. Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu. Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction, 25th International Conference on Pattern Recognition (ICPR), pp. 6702-6709, 2020.

  15. Yongzhong Sun, Kejiang Ye, Cheng-Zhong Xu. PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs, 2020 International Conference on Cloud Computing (CLOUD), pp.111-125, 2020.

  16. Shujian Ji, Kejiang Ye, Cheng-Zhong Xu. A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder, 2020 International Conference on Cloud Computing (CLOUD), pp.126-140, 2020.

  17. Rui Wang, Kejiang Ye, Tianhui Meng, Cheng-Zhong Xu. Performance Evaluation on Blockchain Systems: A Case Study on Ethereum, Fabric, Sawtooth and Fisco-Bcos, 2020 International Conference on Services Computing (SCC), pp.120-134, 2020.

  18. Jiexia Ye, Juanjuan Zhao, Kejiang YeChengzhong Xu. Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting, 2020 International Joint Conference on Neural Networks (IJCNN), pp.1-8, 2020.

  19. Jiexia Ye, Juanjuan Zhao, Liutao Zhang, Chengzhong Xu, Jun Zhang and Kejiang Ye. A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems, 2020 International Conference on Big Data (BigData), pp.116-126, 2020.

  20. Chengzhi Lu, Wenyan Chen, Kejiang Ye, Cheng-Zhong Xu. Understanding the Workload Characteristics in Alibaba: A View from Directed Acyclic Graph Analysis, 2020 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), pp.1-8, 2020. (Best Paper Award!!)

  21. Hao Wang, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu, Liutao Zhang, Jun Zhang, Jing Sun. A Destination Prediction Model for Individual Passengers in Urban Rail Transit, 2020 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), pp.138-143, 2020.

Students

已指导学生

张昱航  硕士研究生  085211-计算机技术  

赵世林  硕士研究生  085211-计算机技术  

纪书鉴  硕士研究生  085211-计算机技术  

阳文斯  硕士研究生  085211-计算机技术  

杜明哲  硕士研究生  085211-计算机技术  

吕静雅  硕士研究生  085211-计算机技术  

熊景盼  硕士研究生  085211-计算机技术  

现指导学生

王锐  硕士研究生  085211-计算机技术  

叶洁瑕  硕士研究生  085211-计算机技术  

杨磊  硕士研究生  085208-电子与通信工程  

李朝冉  硕士研究生  085211-计算机技术  

唐欢  硕士研究生  085211-计算机技术  

林鹏  硕士研究生  085211-计算机技术  

林彦颖  硕士研究生  085211-计算机技术  

邓仕圣  硕士研究生  081200-计算机科学与技术  

贺航涛  硕士研究生  085400-电子信息  

郑富荣  硕士研究生  085400-电子信息  

黄嘉华  硕士研究生  085400-电子信息  

张永贺  硕士研究生  085400-电子信息  

李永康  硕士研究生  085211-计算机技术  

伍泰霖  硕士研究生  085211-计算机技术  

刘宇  硕士研究生  085400-电子信息  

何发瑛  硕士研究生  085211-计算机技术  

文考  硕士研究生  085211-计算机技术