Wentai Wu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Selection Scheme

Scheduling Algorithm

Power Consumption

Virtual Machine

Top Venues

Future Gener. Comput. Syst.

IEEE Trans. Parallel Distributed Syst.

ACM Comput. Surv.

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)
Tianyu He, Peiyi Han, Shaoming Duan, Zirui Wang, Wentai Wu, Chuanyi Liu, Jianrun Han
Generative data augmentation with differential privacy for non-IID problem in decentralized clinical machine learning. Future Gener. Comput. Syst. 160 (2024)
Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters. CoRR (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)
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)
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)
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)
Weiwei Lin, Wentai Wu, Ligang He
An On-Line Virtual Machine Consolidation Strategy for Dual Improvement in Performance and Energy Conservation of Server Clusters in Cloud Data Centers. IEEE Trans. Serv. Comput. 15 (2) (2022)
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)
Wentai Wu, Ligang He, Weiwei Lin, Yi Su, Yuhua Cui, Carsten Maple, Stephen A. Jarvis
Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Pengcheng Li, Zhangyu Li, Xiongwen Pang, Hui Wang, Weiwei Lin, Wentai Wu
Multi-scale residual denoising GAN model for producing super-resolution CTA images. J. Ambient Intell. Humaniz. Comput. 13 (3) (2022)
Wentai Wu, Weiwei Lin, Ligang He, Guangxin Wu, Ching-Hsien Hsu
A Power Consumption Model for Cloud Servers Based on Elman Neural Network. IEEE Trans. Cloud Comput. 9 (4) (2021)
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Carsten Maple, Stephen A. Jarvis
SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead. IEEE Trans. Computers 70 (5) (2021)
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song
FedProf: Optimizing Federated Learning with Dynamic Data Profiling. CoRR (2021)
Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya
An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Wentai Wu, Ligang He, Weiwei Lin
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data. CoRR (2021)
Hao Wu, Ligang He, Chang-Tsun Li, Junyu Li, Wentai Wu, Carsten Maple
MGGAN: Improving sample generations of Generative Adversarial Networks. HPCC/DSS/SmartCity/DependSys (2021)
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao
Accelerating Federated Learning Over Reliability-Agnostic Clients in Mobile Edge Computing Systems. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Xiong Wen Pang, Yanqiang Zhou, Pengcheng Li, Weiwei Lin, Wentai Wu, James Z. Wang
A novel syntax-aware automatic graphics code generation with attention-based deep neural network. J. Netw. Comput. Appl. 161 (2020)
Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee. CoRR (2020)
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems. CoRR (2020)
Weiwei Lin, Fang Shi, Wentai Wu, Keqin Li, Guangxin Wu, Al-Alas Mohammed
A Taxonomy and Survey of Power Models and Power Modeling for Cloud Servers. ACM Comput. Surv. 53 (5) (2020)
Wentai Wu, Ligang He, Weiwei Lin
Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series. CoRR (2019)
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Stephen A. Jarvis
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. CoRR (2019)
Wentai Wu, Weiwei Lin, Ching-Hsien Hsu, Ligang He
Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights. Future Gener. Comput. Syst. 86 (2018)
Weiwei Lin, Weiqi Wang, Wentai Wu, Xiong Wen Pang, Bo Liu, Ying Zhang
A heuristic task scheduling algorithm based on server power efficiency model in cloud environments. Sustain. Comput. Informatics Syst. 20 (2018)
Weiwei Lin, Haoyu Wang, Wentai Wu
A Power Monitoring System Based on a Multi-Component Power Model. Int. J. Grid High Perform. Comput. 10 (1) (2018)
Weiwei Lin, Wentai Wu, Haoyu Wang, James Z. Wang, Ching-Hsien Hsu
Experimental and quantitative analysis of server power model for cloud data centers. Future Gener. Comput. Syst. 86 (2018)
Wentai Wu, Weiwei Lin, Zhiping Peng
An intelligent power consumption model for virtual machines under CPU-intensive workload in cloud environment. Soft Comput. 21 (19) (2017)
Weiwei Lin, Wentai Wu, James Z. Wang
A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters. Sci. Program. 2016 (2016)