| A multi-objective trade-off framework for cloud resource scheduling based on the deep Q-network algorithm Z Peng, J Lin, D Cui, Q Li, J He Cluster Computing 23, 2753-2767, 2020 | 88 | 2020 |
| A two-stage framework for the multi-user multi-data center job scheduling and resource allocation J Lin, D Cui, Z Peng, Q Li, J He IEEE Access 8, 197863-197874, 2020 | 34 | 2020 |
| Thermal prediction for air-cooled data center using data driven-based model J Lin, W Lin, W Lin, J Wang, H Jiang Applied Thermal Engineering 217, 119207, 2022 | 31 | 2022 |
| Power and thermal-aware virtual machine scheduling optimization in cloud data center R Chen, B Liu, WW Lin, JP Lin, HW Cheng, KQ Li Future Generation Computer Systems 145, 578-589, 2023 | 14 | 2023 |
| Deep reinforcement learning for multi-resource cloud job scheduling J Lin, Z Peng, D Cui Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 13 | 2018 |
| A systematic review of green-aware management techniques for sustainable data center W Lin, J Lin, Z Peng, H Huang, W Lin, K Li Sustainable Computing: Informatics and Systems, 100989, 2024 | 12 | 2024 |
| Thermal-aware virtual machine placement based on multi-objective optimization B Liu, R Chen, W Lin, W Wu, J Lin, K Li The Journal of Supercomputing 79 (11), 12563-12590, 2023 | 8 | 2023 |
| Cloud workflow task and virtualized resource collaborative adaptive scheduling algorithm based on distributed deep learning D Cui, J Lin, Z Peng, Q Li, J He, Y Yuan, M Guo 2020 IEEE International Conference on Advances in Electrical Engineering and …, 2020 | 6 | 2020 |
| Energy-aware virtual machine placement based on a holistic thermal model for cloud data centers J Lin, W Lin, W Wu, W Lin, K Li Future Generation Computer Systems 161, 302-314, 2024 | 5 | 2024 |
| Virtualized resource scheduling in cloud computing environments: An review J Lin, D Cui, Z Peng, Q Li, J He, M Guo 2020 IEEE Conference on Telecommunications, Optics and Computer Science …, 2020 | 4 | 2020 |
| Thermal modeling and thermal-aware energy saving methods for cloud data centers: a review J Lin, W Lin, H Huang, W Lin, K Li IEEE Transactions on Sustainable Computing 9 (3), 571-590, 2023 | 3 | 2023 |
| UDL: a cloud task scheduling framework based on multiple deep neural networks Q Li, Z Peng, D Cui, J Lin, H Zhang Journal of Cloud Computing 12 (1), 114, 2023 | 3 | 2023 |
| A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control W Lin, W Lin, J Lin, H Zhong, J Wang, L He Sustainable Computing: Informatics and Systems 42, 100977, 2024 | 2 | 2024 |
| Two-stage selection of distributed data centers based on deep reinforcement learning Q Li, Z Peng, D Cui, J Lin, J He Cluster Computing 25 (4), 2699-2714, 2022 | 2 | 2022 |
| MHDNNL: A batch task optimization scheduling algorithm in cloud computing Q Li, Z Peng, D Cui, J Lin, J He International Journal of Information Technology and Web Engineering (IJITWE …, 2022 | 2 | 2022 |
| Power Management Optimization for Data Centers: A Power Supply Perspective H Huang, W Lin, J Lin, K Li IEEE Transactions on Sustainable Computing, 2025 | | 2025 |
| Multi-objective cooling control optimization for air-liquid cooled data centers using TCN-BiGRU-Attention-based thermal prediction models J Lin, W Lin, W Lin, T Liu, J Wang, H Jiang Building Simulation, 1-17, 2024 | | 2024 |
| A Novel Interpretable Stock Selection Algorithm for Quantitative Trading Z Li, WW Lin, JZ Wang, P Peng, J Lin, V Chang, J Pan International Journal of Grid and High Performance Computing (IJGHPC) 14 (1 …, 2022 | | 2022 |
Weiwei Lin(林伟伟), Professor, IEEE S...South China University of Technology; Pengcheng LaboratoryПідтверджена електронна адреса в scut.edu.cn