| A comprehensive survey of network function virtualization B Yi, X Wang, K Li, M Huang Computer Networks 133, 212-262, 2018 | 542 | 2018 |
| A parallel random forest algorithm for big data in a spark cloud computing environment J Chen, K Li, Z Tang, K Bilal, S Yu, C Weng, K Li IEEE Transactions on Parallel and Distributed Systems 28 (4), 919-933, 2016 | 451 | 2016 |
| A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues Y Xu, K Li, J Hu, K Li Information Sciences 270, 255-287, 2014 | 446 | 2014 |
| An energy-efficient task scheduling algorithm in DVFS-enabled cloud environment Z Tang, L Qi, Z Cheng, K Li, SU Khan, K Li Journal of Grid Computing 14, 55-74, 2016 | 307 | 2016 |
| A survey of intrusion detection for in-vehicle networks W Wu, R Li, G Xie, J An, Y Bai, J Zhou, K Li IEEE Transactions on Intelligent Transportation Systems 21 (3), 919-933, 2019 | 289 | 2019 |
| Optimal multiserver configuration for profit maximization in cloud computing J Cao, K Hwang, K Li, AY Zomaya ieee transactions on parallel and distributed systems 24 (6), 1087-1096, 2012 | 274 | 2012 |
| A hybrid deep learning CNN–ELM for age and gender classification M Duan, K Li, C Yang, K Li Neurocomputing 275, 448-461, 2018 | 272 | 2018 |
| Multi-user multi-task computation offloading in green mobile edge cloud computing W Chen, D Wang, K Li IEEE Transactions on Services Computing 12 (5), 726-738, 2018 | 261 | 2018 |
| SeDaSC: secure data sharing in clouds M Ali, R Dhamotharan, E Khan, SU Khan, AV Vasilakos, K Li, AY Zomaya IEEE Systems Journal 11 (2), 395-404, 2015 | 254 | 2015 |
| Energy-efficient stochastic task scheduling on heterogeneous computing systems K Li, X Tang, K Li IEEE Transactions on Parallel and Distributed Systems 25 (11), 2867-2876, 2013 | 250 | 2013 |
| Distributed deep learning model for intelligent video surveillance systems with edge computing J Chen, K Li, Q Deng, K Li, SY Philip IEEE Transactions on Industrial Informatics, 2019 | 249 | 2019 |
| Performance analysis and optimization for SpMV on GPU using probabilistic modeling K Li, W Yang, K Li IEEE Transactions on Parallel and Distributed Systems 26 (1), 196-205, 2014 | 242 | 2014 |
| Optimal power allocation and load distribution for multiple heterogeneous multicore server processors across clouds and data centers J Cao, K Li, I Stojmenovic IEEE Transactions on Computers 63 (1), 45-58, 2013 | 236 | 2013 |
| Optimal dynamic mobility management for PCS networks J Li, H Kameda, K Li IEEE/ACM Transactions on Networking 8 (3), 319-327, 2000 | 234 | 2000 |
| A two dimensional buddy system for dynamic resource allocation in a partitionable mesh connected system K Li, KH Cheng Proceedings of the 1990 ACM annual conference on Cooperation, 22-27, 1990 | 233 | 1990 |
| Scheduling precedence constrained stochastic tasks on heterogeneous cluster systems K Li, X Tang, B Veeravalli, K Li IEEE Transactions on computers 64 (1), 191-204, 2013 | 220 | 2013 |
| An efficiency-boosting client selection scheme for federated learning with fairness guarantee T Huang, W Lin, W Wu, L He, K Li, AY Zomaya IEEE Transactions on Parallel and Distributed Systems 32 (7), 1552-1564, 2020 | 208 | 2020 |
| Bi-objective workflow scheduling of the energy consumption and reliability in heterogeneous computing systems L Zhang, K Li, C Li, K Li Information Sciences 379, 241-256, 2017 | 204 | 2017 |
| A scheduling scheme in the cloud computing environment using deep Q-learning Z Tong, H Chen, X Deng, K Li, K Li Information Sciences 512, 1170-1191, 2020 | 198 | 2020 |
| Minimizing SLA violation and power consumption in Cloud data centers using adaptive energy-aware algorithms Z Zhou, J Abawajy, M Chowdhury, Z Hu, K Li, H Cheng, AA Alelaiwi, F Li Future Generation Computer Systems 86, 836-850, 2018 | 197 | 2018 |
