An innovative neural network approach for stock market prediction X Pang, Y Zhou, P Wang, W Lin, V Chang The Journal of Supercomputing 76, 2098-2118, 2020 | 422 | 2020 |
An ensemble random forest algorithm for insurance big data analysis W Lin, Z Wu, L Lin, A Wen, J Li Ieee access 5, 16568-16575, 2017 | 312 | 2017 |
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 | 273 | 2020 |
Bandwidth‐aware divisible task scheduling for cloud computing W Lin, C Liang, JZ Wang, R Buyya Software: Practice and Experience, 2014 | 203 | 2014 |
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 | 201 | 2020 |
A threshold-based dynamic resource allocation scheme for cloud computing W Lin, JZ Wang, C Liang, D Qi Procedia Engineering 23, 695-703, 2011 | 186 | 2011 |
Random task scheduling scheme based on reinforcement learning in cloud computing Z Peng, D Cui, J Zuo, Q Li, B Xu, W Lin Cluster computing 18, 1595-1607, 2015 | 145 | 2015 |
Multi-resource scheduling and power simulation for cloud computing W Lin, S Xu, L He, J Li Information Sciences 397, 168-186, 2017 | 93 | 2017 |
云计算资源调度研究综述 林伟伟, 齐德昱 计算机科学 39 (10), 1-6, 2012 | 92 | 2012 |
Accelerating federated learning over reliability-agnostic clients in mobile edge computing systems W Wu, L He, W Lin, R Mao IEEE Transactions on Parallel and Distributed Systems 32 (7), 1539-1551, 2020 | 90 | 2020 |
Stochastic client selection for federated learning with volatile clients T Huang, W Lin, L Shen, K Li, AY Zomaya IEEE Internet of Things Journal 9 (20), 20055-20070, 2022 | 83 | 2022 |
An ant colony optimization-based multiobjective service replicas placement strategy for fog computing T Huang, W Lin, C Xiong, R Pan, J Huang IEEE Transactions on Cybernetics 51 (11), 5595-5608, 2020 | 77 | 2020 |
大数据研究综述. 涂新莉, 刘波, 林伟伟 Application Research of Computers/Jisuanji Yingyong Yanjiu 31 (6), 2014 | 77 | 2014 |
A new container scheduling algorithm based on multi-objective optimization B Liu, P Li, W Lin, N Shu, Y Li, V Chang Soft Computing 22, 7741-7752, 2018 | 72 | 2018 |
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 | 71 | 2018 |
A novel triple encryption scheme for hadoop-based cloud data security C Yang, W Lin, M Liu 2013 Fourth International Conference on Emerging Intelligent Data and Web …, 2013 | 65 | 2013 |
A dual-attention-based stock price trend prediction model with dual features Y Chen, W Lin, JZ Wang IEEE Access 7, 148047-148058, 2019 | 63 | 2019 |
A reinforcement learning-based mixed job scheduler scheme for grid or IaaS cloud D Cui, Z Peng, J Xiong, B Xu, W Lin IEEE Transactions on Cloud Computing 8 (4), 1030-1039, 2017 | 59 | 2017 |
Scheduling algorithms for heterogeneous cloud environment: main resource load balancing algorithm and time balancing algorithm W Lin, G Peng, X Bian, S Xu, V Chang, Y Li Journal of Grid Computing 17, 699-726, 2019 | 57 | 2019 |
A list scheduling algorithm for heterogeneous systems based on a critical node cost table and pessimistic cost table N Zhou, D Qi, X Wang, Z Zheng, W Lin Concurrency and Computation: Practice and Experience 29 (5), e3944, 2017 | 57 | 2017 |