| 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 Conference on …, 2014 | 39 | 2014 |
| 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 | 37 | 2021 |
| 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 | 37 | 2020 |
| 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 | 27 | 2017 |
| Robust and efficient large-large table outer joins on distributed infrastructures. L Cheng, S Kotoulas, T Ward, G Theodoropoulos European Conference on Parallel Processing, 258-269, 2014 | 26 | 2014 |
| Scale-Out Processing of Large RDF Datasets L Cheng, S Kotoulas IEEE Transactions on Big Data 1 (4), 138-150, 2015 | 25 | 2015 |
| 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 | 24 | 2019 |
| Efficient data redistribution to speedup big data analytics in large systems L Cheng, T Li 2016 IEEE 23rd International Conference on High Performance Computing (HiPC …, 2016 | 24 | 2016 |
| Efficiently handling skew in outer joins on distributed systems. L Cheng, S Kotoulas, T Ward, T Theodoropoulos 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing …, 2014 | 24 | 2014 |
| 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 | 19 | 2019 |
| 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 | 17 | 2020 |
| Business Process Comparison: A Methodology and Case Study A Syamsiyah, A Bolt, L Cheng, B Hompes, RPJC Bose, BF van Dongen, ... Business Information Systems, 253-267, 2017 | 17 | 2017 |
| Efficient Parallel Dictionary Encoding for RDF Data. L Cheng, A Malik, S Kotoulas, TE Ward, G Theodoropoulos Proc. 17th International Workshop on the Web and Databases (WebDB), 2014 | 17 | 2014 |
| 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 | 16 | 2020 |
| Efficient Skew Handling for Outer Joins in a Cloud Computing Environment L Cheng, S Kotoulas IEEE Transactions on Cloud Computing 6 (2), 558-571, 2018 | 16 | 2018 |
| Efficient event correlation over distributed systems L Cheng, BF Van Dongen, WMP Van Der Aalst 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2017 | 16 | 2017 |
| QbDJ: A novel framework for handling skew in parallel join processing on distributed memory L Cheng, S Kotoulas, TE Ward, G Theodoropoulos 2013 IEEE 10th International Conference on High Performance Computing and …, 2013 | 15 | 2013 |
| A coflow-based co-optimization framework for high-performance data analytics L Cheng, Y Wang, Y Pei, D Epema 2017 46th International Conference on Parallel Processing (ICPP), 392-401, 2017 | 14 | 2017 |
| 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 | 12 | 2021 |
| Speculative container scheduling for deep learning applications in a kubernetes cluster Y Mao, Y Fu, W Zheng, L Cheng, Q Liu, D Tao arXiv preprint arXiv:2010.11307, 2020 | 10 | 2020 |
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