| A woa-based optimization approach for task scheduling in cloud computing systems X Chen, L Cheng, C Liu, Q Liu, J Liu, Y Mao, J Murphy IEEE Systems Journal 14 (3), 3117-3128, 2020 | 239 | 2020 |
| BSAS: A blockchain-based trustworthy and privacy-preserving speed advisory system J Li, S Li, L Cheng, Q Liu, J Pei, S Wang IEEE Transactions on Vehicular Technology 71 (11), 11421-11430, 2022 | 98 | 2022 |
| Cost-aware job scheduling for cloud instances using deep reinforcement learning F Cheng, Y Huang, B Tanpure, P Sawalani, L Cheng, C Liu Cluster Computing, 1-13, 2021 | 77 | 2021 |
| Deep reinforcement learning for communication flow control in wireless mesh networks Q Liu, L Cheng, AL Jia, C Liu IEEE Network 35 (2), 112-119, 2021 | 77 | 2021 |
| A Low-Cost Multi-Failure Resilient Replication Scheme for High-Data Availability in Cloud Storage J Liu, H Shen, H Chi, HS Narman, Y Yang, L Cheng, W Chung IEEE/ACM Transactions on Networking 29 (4), 1436-1451, 2021 | 68 | 2021 |
| Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems Q Liu, T Xia, L Cheng, M Van Eijk, T Ozcelebi, Y Mao IEEE Transactions on Parallel and Distributed Systems 33 (6), 1491-1502, 2022 | 56 | 2022 |
| Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers L Cheng, Y Wang, Q Liu, D Epema, C Liu, Y Mao, J Murphy IEEE Transactions on Parallel and Distributed Systems 32 (6), 1494-1510, 2021 | 55 | 2021 |
| Energy-aware systems for real-time job scheduling in cloud data centers: A deep reinforcement learning approach J Yan, Y Huang, A Gupta, A Gupta, C Liu, J Li, L Cheng Computers and Electrical Engineering 99, 107688, 2022 | 48 | 2022 |
| Resource management schemes for cloud-native platforms with computing containers of docker and kubernetes Y Mao, Y Fu, S Gu, S Vhaduri, L Cheng, Q Liu arXiv preprint arXiv:2010.10350, 2020 | 48 | 2020 |
| Energy data generation with wasserstein deep convolutional generative adversarial networks J Li, Z Chen, L Cheng, X Liu Energy 257, 124694, 2022 | 46 | 2022 |
| Deep adversarial imitation reinforcement learning for QoS-aware cloud job scheduling Y Huang, L Cheng, L Xue, C Liu, Y Li, J Li, T Ward IEEE Systems Journal 16 (3), 4232-4242, 2021 | 45 | 2021 |
| FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications W Zheng, M Tynes, H Gorelick, Y Mao, L Cheng, Y Hou Proceedings of the 48th International Conference on Parallel Processing, 2019 | 42 | 2019 |
| Robust and skew-resistant parallel joins in shared-nothing systems L Cheng, S Kotoulas, TE Ward, G Theodoropoulos Proceedings of the 23rd ACM International Conference on Information and …, 2014 | 42 | 2014 |
| Scalable Discovery of Hybrid Process Models in a Cloud Computing Environment L Cheng, B Van Dongen, W Van Der Aalst IEEE Transactions on Services Computing 13 (2), 368 - 380, 2020 | 40 | 2020 |
| Privacy-preserving behavioral correctness verification of cross-organizational workflow with task synchronization patterns C Liu, Q Zeng, L Cheng, H Duan, MC Zhou, J Cheng IEEE Transactions on Automation Science and Engineering 18 (3), 1037-1048, 2021 | 39 | 2021 |
| Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing Q Liu, L Cheng, T Ozcelebi, J Murphy, J Lukkien Proceedings of the 19th IEEE/ACM International Symposium on Cluster, Cloud …, 2019 | 37 | 2019 |
| Design and evaluation of small–large outer joins in cloud computing environments L Cheng, I Tachmazidis, S Kotoulas, G Antoniou Journal of Parallel and Distributed Computing 110, 2-15, 2017 | 37 | 2017 |
| Cluster-based flow control in hybrid software-defined wireless sensor networks Q Liu, L Cheng, R Alves, T Ozcelebi, F Kuipers, G Xu, J Lukkien, S Chen Computer Networks 187, 2021 | 36 | 2021 |
| Speculative container scheduling for deep learning applications in a kubernetes cluster Y Mao, Y Fu, W Zheng, L Cheng, Q Liu, D Tao IEEE Systems Journal 16 (3), 3770-3781, 2021 | 35 | 2021 |
| Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System W Zheng, Y Song, Z Guo, Y Cui, S Gu, Y Mao, L Cheng Proceedings of the 23rd IEEE High Performance Extreme Computing Conference, 2019 | 34 | 2019 |
Qingzhi LiuAssistant Professor, Wageningen University & ResearchVerified email at wur.nl
