| How to build a graph-based deep learning architecture in traffic domain: A survey J Ye, J Zhao, K Ye, C Xu IEEE Transactions on Intelligent Transportation Systems 23 (5), 3904-3924, 2020 | 262 | 2020 |
| Ffd: A federated learning based method for credit card fraud detection W Yang, Y Zhang, K Ye, L Li, CZ Xu Big Data–BigData 2019: 8th International Congress, Held as Part of the …, 2019 | 259 | 2019 |
| Live migration of multiple virtual machines with resource reservation in cloud computing environments K Ye, X Jiang, D Huang, J Chen, B Wang 2011 IEEE 4th International Conference on Cloud Computing, 267-274, 2011 | 238 | 2011 |
| Imbalance in the Cloud: an Analysis on Alibaba Cluster Trace C Lu, K Ye, G Xu, CZ Xu, T Bai Big Data (Big Data), 2017 IEEE International Conference on, 2884 - 2892, 2017 | 228 | 2017 |
| Characterizing microservice dependency and performance: Alibaba trace analysis S Luo, H Xu, C Lu, K Ye, G Xu, L Zhang, Y Ding, J He, C Xu Proceedings of the ACM Symposium on Cloud Computing, 412-426, 2021 | 223 | 2021 |
| Dynamic network anomaly detection system by using deep learning techniques P Lin, K Ye, CZ Xu Cloud Computing–CLOUD 2019: 12th International Conference, Held as Part of …, 2019 | 184 | 2019 |
| Virtual machine based energy-efficient data center architecture for cloud computing: a performance perspective K Ye, D Huang, X Jiang, H Chen, S Wu 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l …, 2010 | 132 | 2010 |
| Serverless computing: state-of-the-art, challenges and opportunities Y Li, Y Lin, Y Wang, K Ye, C Xu IEEE Transactions on Services Computing 16 (2), 1522-1539, 2022 | 130 | 2022 |
| 虚拟化云计算平台的能耗管理 叶可江， 吴朝晖， 姜晓红， 何钦铭 计算机学报 35 (006), 1262-1285, 2012 | 128 | 2012 |
| An energy-efficient scheme for cloud resource provisioning based on CloudSim Y Shi, X Jiang, K Ye 2011 IEEE International Conference on Cluster Computing, 595-599, 2011 | 120 | 2011 |
| Profiling-based Workload Consolidation and Migration in Virtualized Data Centres K Ye, Z Wu, C Wang, B Zhou, W Si, X Jiang, A Zomaya IEEE Transactions on Parallel and Distributed Systems 26 (3), 878 - 890, 2015 | 112 | 2015 |
| Analyzing and modeling the performance in xen-based virtual cluster environment K Ye, X Jiang, S Chen, D Huang, B Wang 2010 IEEE 12th International Conference on High Performance Computing and …, 2010 | 90 | 2010 |
| Power management of virtualized cloud computing platform KJ Ye, ZH Wu, XH Jiang, QM He Chinese Journal of Computers 35 (6), 1262-1285, 2012 | 85 | 2012 |
| Algorithmics of cost-driven computation offloading in the edge-cloud environment M Du, Y Wang, K Ye, C Xu IEEE Transactions on Computers 69 (10), 1519-1532, 2020 | 73 | 2020 |
| esDNN: deep neural network based multivariate workload prediction in cloud computing environments M Xu, C Song, H Wu, SS Gill, K Ye, C Xu ACM Transactions on Internet Technology (TOIT) 22 (3), 1-24, 2022 | 72 | 2022 |
| Multi-graph convolutional network for relationship-driven stock movement prediction J Ye, J Zhao, K Ye, C Xu 2020 25th International Conference on Pattern Recognition (ICPR), 6702-6709, 2021 | 70 | 2021 |
| How does the workload look like in production cloud? analysis and clustering of workloads on alibaba cluster trace W Chen, K Ye, Y Wang, G Xu, CZ Xu 2018 IEEE 24th International Conference on Parallel and Distributed Systems …, 2018 | 63 | 2018 |
| Vc-migration: Live migration of virtual clusters in the cloud K Ye, X Jiang, R Ma, F Yan 2012 ACM/IEEE 13th International Conference on Grid Computing, 209-218, 2012 | 58 | 2012 |
| A deep learning approach for network anomaly detection based on AMF-LSTM M Zhu, K Ye, Y Wang, CZ Xu Network and Parallel Computing: 15th IFIP WG 10.3 International Conference …, 2018 | 56 | 2018 |
| The power of prediction: microservice auto scaling via workload learning S Luo, H Xu, K Ye, G Xu, L Zhang, G Yang, C Xu Proceedings of the 13th Symposium on Cloud Computing, 355-369, 2022 | 53 | 2022 |
