Weiwei Lin

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 36

Top Topics

Multiple Kernel

Resource Scheduling

Energy Efficiency

Top Venues

Future Gener. Comput. Syst.

Expert Syst. Appl.

Publications

Peng Peng, Weiwei Lin, Wentai Wu, Haotong Zhang, Shaoliang Peng, Qingbo Wu, Keqin Li
A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches. Comput. Sci. Rev. 53 (2024)
Yuehong Chen, Rong Xie, Haotong Zhang, Dongdong Li, Weiwei Lin
Generation of high-order random key matrix for Hill Cipher encryption using the modular multiplicative inverse of triangular matrices. Wirel. Networks 30 (6) (2024)
Weiwei Lin, Jianpeng Lin, Zhiping Peng, Huikang Huang, Wenjun Lin, Keqin Li
A systematic review of green-aware management techniques for sustainable data center. Sustain. Comput. Informatics Syst. 42 (2024)
Haotong Zhang, Weiwei Lin, Rong Xie, Shenghai Li, Zhiyan Dai, James Z. Wang
An optimal container update method for edge-cloud collaboration. Softw. Pract. Exp. 54 (4) (2024)
Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters. CoRR (2024)
Wenjun Lin, Weiwei Lin, Jianpeng Lin, Haocheng Zhong, Jiangtao Wang, Ligang He
A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control. Sustain. Comput. Informatics Syst. 42 (2024)
Jianpeng Lin, Weiwei Lin, Wentai Wu, Wenjun Lin, Keqin Li
Energy-aware virtual machine placement based on a holistic thermal model for cloud data centers. Future Gener. Comput. Syst. 161 (2024)
Weiwei Lin, Songbo Wang, Wentai Wu, Dongdong Li, Albert Y. Zomaya
HybridAD: A Hybrid Model-Driven Anomaly Detection Approach for Multivariate Time Series. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Jianpeng Lin, Weiwei Lin, Huikang Huang, Wenjun Lin, Keqin Li
Thermal Modeling and Thermal-Aware Energy Saving Methods for Cloud Data Centers: A Review. IEEE Trans. Sustain. Comput. 9 (3) (2024)
Weijian Pan, Xiumin Wang, Pan Zhou, Weiwei Lin
Time-Sensitive Federated Learning With Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Shengsheng Lin, Weiwei Lin, Keyi Wu, Songbo Wang, Minxian Xu, James Z. Wang
Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems. Internet Things 25 (2024)
Peng Peng, Yuehong Chen, Weiwei Lin, James Z. Wang
Attention-based CNN-LSTM for high-frequency multiple cryptocurrency trend prediction. Expert Syst. Appl. 237 (Part B) (2024)
Rui Chen, Bo Liu, Weiwei Lin, Jianpeng Lin, Huiwen Cheng, Keqin Li
Power and thermal-aware virtual machine scheduling optimization in cloud data center. Future Gener. Comput. Syst. 145 (2023)
Yuanchao Yan, Bo Liu, Weiwei Lin, Yuping Chen, Keqin Li, Jiangtao Ou, Chengyuan Fan
MCCP: Multi-Collaboration Channel Pruning for Model Compression. Neural Process. Lett. 55 (3) (2023)
Shingchern D. You, Weiwei Lin, Fang Shi, Jianzhuo Li, De Yu Qi, Simon Fong
A novel approach for CPU load prediction of cloud server combining denoising and error correction. Computing 105 (3) (2023)
Fang Shi, Weiwei Lin, Lisheng Fan, Xiazhi Lai, Xiumin Wang
Efficient Client Selection Based on Contextual Combinatorial Multi-Arm Bandits. IEEE Trans. Wirel. Commun. 22 (8) (2023)
Xinyang Wang, Yu Sun, Qiao Sun, Weiwei Lin, James Z. Wang, Wei Li
HCIndex: a Hilbert-Curve-based clustering index for efficient multi-dimensional queries for cloud storage systems. Clust. Comput. 26 (3) (2023)
Weiwei Lin, Haojun Xu, Jianzhuo Li, Ziming Wu, Zhengyang Hu, Victor Chang, James Z. Wang
Deep-profiling: a deep neural network model for scholarly Web user profiling. Clust. Comput. 26 (3) (2023)
Naqin Zhou, Weiwei Lin, Wei Feng, Fang Shi, Xiongwen Pang
Budget-deadline constrained approach for scientific workflows scheduling in a cloud environment. Clust. Comput. 26 (3) (2023)
Senjiong Zheng, Bo Liu, Weiwei Lin, Xiaoying Ye, Keqin Li
A package-aware scheduling strategy for edge serverless functions based on multi-stage optimization. Future Gener. Comput. Syst. 144 (2023)
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
Fusion of Global and Local Knowledge for Personalized Federated Learning. CoRR (2023)
Li Mao, Rui Chen, Huiwen Cheng, Weiwei Lin, Bo Liu, James Z. Wang
A resource scheduling method for cloud data centers based on thermal management. J. Cloud Comput. 12 (1) (2023)
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
Fusion of Global and Local Knowledge for Personalized Federated Learning. Trans. Mach. Learn. Res. 2023 (2023)
Wentai Wu, Ligang He, Weiwei Lin, Carsten Maple
FedProf: Selective Federated Learning Based on Distributional Representation Profiling. IEEE Trans. Parallel Distributed Syst. 34 (6) (2023)
Weiwei Lin, Chennian Xiong, Wentai Wu, Fang Shi, Keqin Li, Minxian Xu
Performance Interference of Virtual Machines: A Survey. ACM Comput. Surv. 55 (12) (2023)
Shengsheng Lin, Weiwei Lin, Wentai Wu, Songbo Wang, Yongxiang Wang
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer. CoRR (2023)
Wangbo Shen, Weiwei Lin, Yulei Wu, Fang Shi, Wentai Wu, Keqin Li
Evolving Deep Multiple Kernel Learning Networks Through Genetic Algorithms. IEEE Trans. Ind. Informatics 19 (2) (2023)
Weiwei Lin, Yufeng Zhang, Wentai Wu, Simon Fong, Ligang He, Jia Chang
An adaptive workload-aware power consumption measuring method for servers in cloud data centers. Computing 105 (3) (2023)
Weiwei Lin, Xiaoxuan Luo, ChunKi Li, Jiechao Liang, Guokai Wu, Keqin Li
An Energy-Efficient Tuning Method for Cloud Servers Combining DVFS and Parameter Optimization. IEEE Trans. Cloud Comput. 11 (4) (2023)
Bo Liu, Rui Chen, Weiwei Lin, Wentai Wu, Jianpeng Lin, Keqin Li
Publisher Correction to: Thermal‑aware virtual machine placement based on multi‑objective optimization. J. Supercomput. 79 (15) (2023)
Bo Liu, Rui Chen, Weiwei Lin, Wentai Wu, Jianpeng Lin, Keqin Li
Thermal-aware virtual machine placement based on multi-objective optimization. J. Supercomput. 79 (11) (2023)
Weiming Wang, Weiwei Lin, Yiming Wen, Xiaozheng Lai, Peng Peng, Yi Zhang, Keqin Li
An interpretable intuitionistic fuzzy inference model for stock prediction. Expert Syst. Appl. 213 (Part) (2023)
Shengsheng Lin, Weiwei Lin, Wentai Wu, Feiyu Zhao, Ruichao Mo, Haotong Zhang
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting. CoRR (2023)
Fang Shi, Chunchao Hu, Weiwei Lin, Lisheng Fan, Tiansheng Huang, Wentai Wu
VFedCS: Optimizing Client Selection for Volatile Federated Learning. IEEE Internet Things J. 9 (24) (2022)
Zhengrui Li, Weiwei Lin, James Z. Wang, Peng Peng, Jianpeng Lin, Victor Chang, Jianghu Pan
A Novel Interpretable Stock Selection Algorithm for Quantitative Trading. Int. J. Grid High Perform. Comput. 14 (1) (2022)
Huabin Wang, Yuping Chen, Bo Liu, Ruichao Mo, Weiwei Lin
Optimization of the Pedestrian and Vehicle Detection Model based on Cloud-Edge Collaboration. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)