| A hybrid chemical reaction optimization scheme for task scheduling on heterogeneous computing systems Y Xu, K Li, L He, L Zhang, K Li IEEE Transactions on parallel and distributed systems 26 (12), 3208-3222, 2015 | 157 | 2015 |
| A DAG scheduling scheme on heterogeneous computing systems using double molecular structure-based chemical reaction optimization Y Xu, K Li, L He, TK Truong Journal of Parallel and Distributed Computing 73 (9), 1306-1322, 2013 | 121 | 2013 |
| SAFA: A semi-asynchronous protocol for fast federated learning with low overhead W Wu, L He, W Lin, R Mao, C Maple, S Jarvis IEEE Transactions on Computers 70 (5), 655-668, 2020 | 120 | 2020 |
| Graph processing on GPUs: A survey X Shi, Z Zheng, Y Zhou, H Jin, L He, B Liu, QS Hua ACM Computing Surveys (CSUR) 50 (6), 1-35, 2018 | 118 | 2018 |
| Dynamic scheduling of parallel jobs with QoS demands in multiclusters and grids L He, SA Jarvis, DP Spooner, X Chen, GR Nudd Fifth IEEE/ACM International Workshop on Grid Computing, 402-409, 2004 | 90 | 2004 |
| Performance-aware workflow management for Grid computing DP Spooner, J Cao, SA Jarvis, L He, GR Nudd The Computer Journal 48 (3), 347-357, 2005 | 87 | 2005 |
| Robot cloud: Bridging the power of robotics and cloud computing Z Du, L He, Y Chen, Y Xiao, P Gao, T Wang Future Generation Computer Systems 74, 337-348, 2017 | 85 | 2017 |
| Allocating non-real-time and soft real-time jobs in multiclusters L He, SA Jarvis, DP Spooner, H Jiang, DN Dillenberger, GR Nudd IEEE transactions on Parallel and Distributed Systems 17 (2), 99-112, 2006 | 83 | 2006 |
| Developing resource consolidation frameworks for moldable virtual machines in clouds L He, D Zou, Z Zhang, C Chen, H Jin, SA Jarvis Future Generation Computer Systems 32, 69-81, 2014 | 81 | 2014 |
| Multi-resource scheduling and power simulation for cloud computing W Lin, S Xu, L He, J Li Information Sciences 397, 168-186, 2017 | 80 | 2017 |
| An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee T Huang, W Lin, W Wu, L He, K Li, A Zomaya IEEE Transactions on Parallel and Distributed Systems, 2020 | 76 | 2020 |
| Energy-aware data allocation and task scheduling on heterogeneous multiprocessor systems with time constraints Y Wang, K Li, H Chen, L He, K Li IEEE transactions on emerging topics in computing 2 (2), 134-148, 2014 | 69 | 2014 |
| From mobiles to clouds: Developing energy-aware offloading strategies for workflows B Gao, L He, L Liu, K Li, SA Jarvis 2012 ACM/IEEE 13th International Conference on Grid Computing, 139-146, 2012 | 57 | 2012 |
| Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights WT Wu, WW Lin, CH Hsu, LG He Future Generation Computer Systems 86, 1351-1367, 2018 | 56 | 2018 |
| Mammoth: Gearing Hadoop towards memory-intensive MapReduce applications X Shi, M Chen, L He, X Xie, L Lu, H Jin, Y Chen, S Wu IEEE Transactions on Parallel and Distributed Systems 26 (8), 2300-2315, 2014 | 49 | 2014 |
| Mapping DAG-based applications to multiclusters with background workload L He, SA Jarvis, DP Spooner, D Bacigalupo, G Tan, GR Nudd Cluster Computing and the Grid, 2005. CCGrid 2005. IEEE International …, 2005 | 46 | 2005 |
| Optimising static workload allocation in multiclusters L He, SA Jarvis, DP Spooner, GR Nudd 18th International Parallel and Distributed Processing Symposium, 2004 …, 2004 | 41 | 2004 |
| Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models DA Bacigalupo, J Van Hemert, X Chen, A Usmani, AP Chester, L He, ... Simulation Modelling Practice and Theory 19 (6), 1479-1495, 2011 | 40 | 2011 |
| Dynamic scheduling of parallel real-time jobs by modelling spare capabilities in heterogeneous clusters L He, SA Jarvis, DP Spooner, GR Nudd 2003 Proceedings IEEE International Conference on Cluster Computing, 2-10, 2003 | 39 | 2003 |
| An investigation into the application of different performance prediction methods to distributed enterprise applications DA Bacigalupo, SA Jarvis, L He, DP Spooner, DN Dillenberger, GR Nudd The Journal of Supercomputing 34 (2), 93-111, 2005 | 37 | 2005 |
