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, 2021 | 256 | 2021 |
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 | 192 | 2020 |
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, 2021 | 87 | 2021 |
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 | 68 | 2018 |
An on-line virtual machine consolidation strategy for dual improvement in performance and energy conservation of server clusters in cloud data centers W Lin, W Wu, L He IEEE Transactions on Services Computing 15 (2), 766-777, 2022 | 48 | 2022 |
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, 2022 | 45 | 2022 |
A heuristic task scheduling algorithm based on server power efficiency model in cloud environments W Lin, W Wang, W Wu, X Pang, B Liu, Y Zhang Sustainable computing: informatics and systems 20, 56-65, 2018 | 39 | 2018 |
A taxonomy and survey of power models and power modeling for cloud servers W Lin, F Shi, W Wu, K Li, G Wu, AA Mohammed ACM Computing Surveys (CSUR) 53 (5), 1-41, 2020 | 38 | 2020 |
Experimental and quantitative analysis of server power model for cloud data centers W Lin, W Wu, H Wang, JZ Wang, CH Hsu Future Generation Computer Systems 86, 940-950, 2018 | 38 | 2018 |
An intelligent power consumption model for virtual machines under CPU-intensive workload in cloud environment W Wu, W Lin, Z Peng Soft Computing 21, 5755-5764, 2017 | 38 | 2017 |
A power consumption model for cloud servers based on elman neural network W Wu, W Lin, L He, G Wu, CH Hsu IEEE Transactions on Cloud Computing 9 (4), 1268-1277, 2021 | 33 | 2021 |
A heuristic task scheduling algorithm for heterogeneous virtual clusters W Lin, W Wu, JZ Wang Scientific Programming 2016, 2016 | 20 | 2016 |
A novel syntax-aware automatic graphics code generation with attention-based deep neural network X Pang, Y Zhou, P Li, weiwei Lin, W Wu, JZ Wang Journal of Network and Computer Applications, 0 | 17* | |
Performance interference of virtual machines: A survey W Lin, C Xiong, W Wu, F Shi, K Li, M Xu ACM Computing Surveys 55 (12), 1-37, 2023 | 13 | 2023 |
VFedCS: Optimizing client selection for volatile federated learning F Shi, C Hu, W Lin, L Fan, T Huang, W Wu IEEE Internet of Things Journal 9 (24), 24995-25010, 2022 | 12 | 2022 |
Multi-scale residual denoising GAN model for producing super-resolution CTA images P Li, Z Li, X Pang, H Wang, W Lin, W Wu Journal of Ambient Intelligence and Humanized Computing, 1-10, 2022 | 11 | 2022 |
FedProf: Optimizing federated learning with dynamic data profiling W Wu, L He, W Lin, R Mao, C Huang, W Song arXiv preprint arXiv:2102.01733, 2021 | 10 | 2021 |
Energy consumption measurement and management in cloud computing environment. WW W. Lin Ruan Jian Xue Bao/Journal of Software 27 (4), 1026-1041, 2016 | 9* | 2016 |
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 | 8 | 2023 |
Petformer: Long-term time series forecasting via placeholder-enhanced transformer S Lin, W Lin, W Wu, S Wang, Y Wang arXiv preprint arXiv:2308.04791, 2023 | 8 | 2023 |