| 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 | 452 | 2016 |
| 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 | 306 | 2016 |
| Gpu-accelerated parallel hierarchical extreme learning machine on flink for big data C Chen, K Li, A Ouyang, Z Tang, K Li IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (10), 2740-2753, 2017 | 110 | 2017 |
| Distributed task migration optimization in MEC by extending multi-agent deep reinforcement learning approach C Liu, F Tang, Y Hu, K Li, Z Tang, K Li IEEE Transactions on Parallel and Distributed Systems 32 (7), 1603-1614, 2020 | 99 | 2020 |
| A MapReduce task scheduling algorithm for deadline constraints Z Tang, J Zhou, K Li, R Li Cluster computing 16, 651-662, 2013 | 90 | 2013 |
| An intermediate data placement algorithm for load balancing in spark computing environment Z Tang, X Zhang, K Li, K Li Future Generation Computer Systems 78, 287-301, 2018 | 81 | 2018 |
| Parallel hybrid pso with cuda for ld heat conduction equation A Ouyang, Z Tang, X Zhou, Y Xu, G Pan, K Li Computers & Fluids 110, 198-210, 2015 | 81 | 2015 |
| A self-adaptive scheduling algorithm for reduce start time Z Tang, L Jiang, J Zhou, K Li, K Li Future Generation Computer Systems 43, 51-60, 2015 | 81 | 2015 |
| A scalable multicloud storage architecture for cloud-supported medical internet of things R Cao, Z Tang, C Liu, B Veeravalli IEEE Internet of Things Journal 7 (3), 1641-1654, 2019 | 79 | 2019 |
| Hadoop recognition of biomedical named entity using conditional random fields K Li, W Ai, Z Tang, F Zhang, L Jiang, K Li, K Hwang IEEE Transactions on Parallel and Distributed Systems 26 (11), 3040-3051, 2014 | 78 | 2014 |
| Estimating parameters of Muskingum model using an adaptive hybrid PSO algorithm A Ouyang, Z Tang, K Li, A Sallam, E Sha International Journal of Pattern Recognition and Artificial Intelligence 28 …, 2014 | 65 | 2014 |
| Dynamic forecast scheduling algorithm for virtual machine placement in cloud computing environment Z Tang, Y Mo, K Li, K Li The Journal of Supercomputing 70, 1279-1296, 2014 | 61 | 2014 |
| A code-oriented partitioning computation offloading strategy for multiple users and multiple mobile edge computing servers Y Ding, C Liu, X Zhou, Z Liu, Z Tang IEEE Transactions on Industrial Informatics 16 (7), 4800-4810, 2019 | 60 | 2019 |
| A parallel patient treatment time prediction algorithm and its applications in hospital queuing-recommendation in a big data environment J Chen, K Li, Z Tang, K Bilal, K Li IEEE Access 4, 1767-1783, 2016 | 58 | 2016 |
| A game-based approach for cost-aware task assignment with QoS constraint in collaborative edge and cloud environments S Long, W Long, Z Li, K Li, Y Xia, Z Tang IEEE Transactions on Parallel and Distributed Systems 32 (7), 1629-1640, 2020 | 52 | 2020 |
| Selection and replacement algorithms for memory performance improvement in spark M Duan, K Li, Z Tang, G Xiao, K Li Concurrency and Computation: Practice and Experience 28 (8), 2473-2486, 2016 | 49 | 2016 |
| An optimized MapReduce workflow scheduling algorithm for heterogeneous computing Z Tang, M Liu, A Ammar, K Li, K Li The Journal of Supercomputing 72, 2059-2079, 2016 | 40 | 2016 |
| A new RBAC based access control model for cloud computing Z Tang, J Wei, A Sallam, K Li, R Li Advances in Grid and Pervasive Computing: 7th International Conference, GPC …, 2012 | 39 | 2012 |
| Research on trust-based access control model in cloud computing Z Tan, Z Tang, R Li, A Sallam, L Yang 2011 6th IEEE Joint International Information Technology and Artificial …, 2011 | 39 | 2011 |
| MTSD: A task scheduling algorithm for MapReduce base on deadline constraints Z Tang, J Zhou, K Li, R Li 2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012 | 37 | 2012 |
