| An empirical case study on the temporary file smell in dockerfiles Z Lu, J Xu, Y Wu, T Wang, T Huang IEEE Access 7, 63650-63659, 2019 | 30 | 2019 |
| Dockerfile tf smell detection based on dynamic and static analysis methods J Xu, Y Wu, Z Lu, T Wang 2019 ieee 43rd annual computer software and applications conference (compsac …, 2019 | 24 | 2019 |
| Large-scale resource scheduling based on minimum cost maximum flow 陈晓旭， 吴恒， 吴悦文， 陆志刚， 张文博 Journal of Software 28 (3), 598-610, 2018 | 9* | 2018 |
| Hydra: Deadline-aware and efficiency-oriented scheduling for deep learning jobs on heterogeneous gpus Z Yang, H Wu, Y Xu, Y Wu, H Zhong, W Zhang IEEE Transactions on Computers, 2023 | 6 | 2023 |
| Nuka: A generic engine with millisecond initialization for serverless computing S Qin, H Wu, Y Wu, B Yan, Y Xu, W Zhang 2020 IEEE International Conference on Joint Cloud Computing, 78-85, 2020 | 6 | 2020 |
| An acceleration method for Docker image update Z Lu, Y Wu, J Xu, T Wang 2019 IEEE International Conference on Fog Computing (ICFC), 15-23, 2019 | 6 | 2019 |
| Talos: A weighted speedup-aware device placement of deep learning models Y Xu, H Wu, W Zhang, C Yang, Y Wu, H Gao, T Wang 2021 IEEE 32nd International Conference on Application-specific Systems …, 2021 | 5 | 2021 |
| HW3C: a heuristic based workload classification and cloud configuration approach for big data analytics Y Wu, H Wu, W Zhang, Y Xu, J Wei, H Zhong Proceedings of the 10th Asia-Pacific Symposium on Internetware, 1-10, 2018 | 5 | 2018 |
| Apollo: Rapidly picking the optimal cloud configurations for big data analytics using a data-driven approach YW Wu, YJ Xu, H Wu, LG Su, WB Zhang, H Zhong Journal of Computer Science and Technology 36, 1184-1199, 2021 | 3 | 2021 |
| Best vm selection for big data applications across multiple frameworks by transfer learning Y Wu, H Wu, Y Xu, Y Hu, W Zhang, H Zhong, T Huang Proceedings of the 50th International Conference on Parallel Processing, 1-11, 2021 | 2 | 2021 |
| SPLIT: QoS-Aware DNN Inference on Shared GPU via Evenly-Sized Model Splitting D Luo, T Yu, Y Wu, H Wu, T Wang, W Zhang Proceedings of the 52nd International Conference on Parallel Processing, 605-614, 2023 | 1 | 2023 |
| Serving unseen deep learning models with near-optimal configurations: a fast adaptive search approach Y Wu, H Wu, D Luo, Y Xu, Y Hu, W Zhang, H Zhong Proceedings of the 13th Symposium on Cloud Computing, 461-476, 2022 | 1 | 2022 |
| A framework to support multi-cloud collaboration L Hua, T Tang, H Wu, WU Yuewen, LIU He, XU Yuanjia, W Zhang 2020 IEEE World Congress on Services (SERVICES), 110-116, 2020 | 1 | 2020 |
| Topology-Aware Self-Adaptive Resource Provisioning for Microservices H Zeng, T Wang, A Li, Y Wu, H Wu, W Zhang 2023 IEEE International Conference on Web Services (ICWS), 28-35, 2023 | | 2023 |
| 大数据环境下基于数据驱动的云配置优化方法 YW Wu, YJ Xu, H Wu, LG Su, WB Zhang, H Zhong 计算机科学技术学报 36 (5), 1184-1199, 2021 | | 2021 |
| 面向大数据分析作业的启发式云资源供给方法 吴悦文， 吴恒， 任杰， 张文博， 魏峻， 王焘， 钟华 软件学报 31 (6), 1860-1874, 2020 | | 2020 |
| Wukong: Heuristic-Based Framework for Generating Generic-API for JointCloud Y Xu, H Wu, H Li, Y Wu, S Qin, T Huang 2019 IEEE International Conference on Service-Oriented System Engineering …, 2019 | | 2019 |
