| An innovative neural network approach for stock market prediction X Pang, Y Zhou, P Wang, W Lin, V Chang The Journal of Supercomputing 76 (3), 2098-2118, 2020 | 609 | 2020 |
| 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 | 477 | 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 | 390 | 2017 |
| 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 | 344 | 2020 |
| Segrnn: Segment recurrent neural network for long-term time series forecasting S Lin, W Lin, W Wu, F Zhao, R Mo, H Zhang arXiv preprint arXiv:2308.11200, 2023 | 218 | 2023 |
| Bandwidth‐aware divisible task scheduling for cloud computing W Lin, C Liang, JZ Wang, R Buyya Software: Practice and Experience, 2014 | 205 | 2014 |
| A threshold-based dynamic resource allocation scheme for cloud computing W Lin, JZ Wang, C Liang, D Qi Procedia Engineering 23, 695-703, 2011 | 200 | 2011 |
| 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 | 166 | 2022 |
| 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 (4), 1595-1607, 2015 | 166 | 2015 |
| SparseTSF: modeling long-term time series forecasting with 1k parameters S Lin, W Lin, W Wu, H Chen, J Yang Proceedings of the 41st International Conference on Machine Learning 235 …, 2024 | 154 | 2024 |
| 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 | 139 | 2020 |
| 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 | 120 | 2020 |
| Multi-resource scheduling and power simulation for cloud computing W Lin, S Xu, L He, J Li Information Sciences 397, 168-186, 2017 | 100 | 2017 |
| 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 (23), 7741-7752, 2018 | 99 | 2018 |
| Developing an unsupervised real-time anomaly detection scheme for time series with multi-seasonality W Wu, L He, W Lin, Y Su, Y Cui, C Maple, S Jarvis IEEE Transactions on Knowledge and Data Engineering 34 (9), 4147-4160, 2020 | 96 | 2020 |
| Cyclenet: Enhancing time series forecasting through modeling periodic patterns S Lin, W Lin, X Hu, W Wu, R Mo, H Zhong Advances in Neural Information Processing Systems 37, 106315-106345, 2024 | 95 | 2024 |
| 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 | 93 | 2012 |
| A dual-attention-based stock price trend prediction model with dual features Y Chen, W Lin, JZ Wang IEEE Access 7, 148047-148058, 2019 | 87 | 2019 |
| 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 | 80 | 2018 |
| 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 | 79 | 2014 |
Wentai WuUniversity of Warwick; Jinan UniversityVerified email at jnu.edu.cn
