Wentai Wu

According to our database, Wentai Wu authored at least 37 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Pattern-Sensitive Local Differential Privacy for Finite-Range Time-Series Data in Mobile Crowdsensing.

Zhetao Li, Xiyu Zeng, Yong Xiao, Chengxin Li, Wentai Wu, Haolin Liu

IEEE Trans. Mob. Comput., January, 2025

2024

HybridAD: A Hybrid Model-Driven Anomaly Detection Approach for Multivariate Time Series.

Weiwei Lin, Songbo Wang, Wentai Wu, Dongdong Li, Albert Y. Zomaya

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Energy-aware virtual machine placement based on a holistic thermal model for cloud data centers.

Jianpeng Lin, Weiwei Lin, Wentai Wu, Wenjun Lin, Keqin Li

Future Gener. Comput. Syst., 2024

Generative data augmentation with differential privacy for non-IID problem in decentralized clinical machine learning.

Tianyu He, Peiyi Han, Shaoming Duan, Zirui Wang, Wentai Wu, Chuanyi Liu, Jianrun Han

Future Gener. Comput. Syst., 2024

A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches.

Peng Peng, Weiwei Lin, Wentai Wu, Haotong Zhang, Shaoliang Peng, Qingbo Wu, Keqin Li

Comput. Sci. Rev., 2024

CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns.

Shengsheng Lin, Weiwei Lin, Xinyi Hu, Wentai Wu, Ruichao Mo, Haocheng Zhong

CoRR, 2024

SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Performance Interference of Virtual Machines: A Survey.

Weiwei Lin, Chennian Xiong, Wentai Wu, Fang Shi, Keqin Li, Minxian Xu

ACM Comput. Surv., December, 2023

Publisher Correction to: Thermal‑aware virtual machine placement based on multi‑objective optimization.

Bo Liu, Rui Chen, Weiwei Lin, Wentai Wu, Jianpeng Lin, Keqin Li

J. Supercomput., October, 2023

FedProf: Selective Federated Learning Based on Distributional Representation Profiling.

Wentai Wu, Ligang He, Weiwei Lin, Carsten Maple

IEEE Trans. Parallel Distributed Syst., June, 2023

An adaptive workload-aware power consumption measuring method for servers in cloud data centers.

Weiwei Lin, Yufeng Zhang, Wentai Wu, Simon Fong, Ligang He, Jia Chang

Computing, March, 2023

Thermal-aware virtual machine placement based on multi-objective optimization.

Bo Liu, Rui Chen, Weiwei Lin, Wentai Wu, Jianpeng Lin, Keqin Li

J. Supercomput., 2023

Evolving Deep Multiple Kernel Learning Networks Through Genetic Algorithms.

Wangbo Shen, Weiwei Lin, Yulei Wu, Fang Shi, Wentai Wu, Keqin Li

IEEE Trans. Ind. Informatics, 2023

SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Feiyu Zhao, Ruichao Mo, Haotong Zhang

CoRR, 2023

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Songbo Wang, Yongxiang Wang

CoRR, 2023

2022

An On-Line Virtual Machine Consolidation Strategy for Dual Improvement in Performance and Energy Conservation of Server Clusters in Cloud Data Centers.

Weiwei Lin, Wentai Wu, Ligang He

IEEE Trans. Serv. Comput., 2022

Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality.

Wentai Wu, Ligang He, Weiwei Lin, Yi Su, Yuhua Cui, Carsten Maple, Stephen A. Jarvis

IEEE Trans. Knowl. Data Eng., 2022

Multi-scale residual denoising GAN model for producing super-resolution CTA images.

Pengcheng Li, Zhangyu Li, Xiongwen Pang, Hui Wang, Weiwei Lin, Wentai Wu

J. Ambient Intell. Humaniz. Comput., 2022

VFedCS: Optimizing Client Selection for Volatile Federated Learning.

Fang Shi, Chunchao Hu, Weiwei Lin, Lisheng Fan, Tiansheng Huang, Wentai Wu

IEEE Internet Things J., 2022

2021

Towards efficient horizontal federated learning.

Wentai Wu

PhD thesis, 2021

Accelerating Federated Learning Over Reliability-Agnostic Clients in Mobile Edge Computing Systems.

Wentai Wu, Ligang He, Weiwei Lin, Rui Mao

IEEE Trans. Parallel Distributed Syst., 2021

An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee.

Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya

IEEE Trans. Parallel Distributed Syst., 2021

A Power Consumption Model for Cloud Servers Based on Elman Neural Network.

Wentai Wu, Weiwei Lin, Ligang He, Guangxin Wu, Ching-Hsien Hsu

IEEE Trans. Cloud Comput., 2021

SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead.

Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Carsten Maple, Stephen A. Jarvis

IEEE Trans. Computers, 2021

A Taxonomy and Survey of Power Models and Power Modeling for Cloud Servers.

Weiwei Lin, Fang Shi, Wentai Wu, Keqin Li, Guangxin Wu, Al-Alas Mohammed

ACM Comput. Surv., 2021

Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data.

Wentai Wu, Ligang He, Weiwei Lin

CoRR, 2021

FedProf: Optimizing Federated Learning with Dynamic Data Profiling.

Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song

CoRR, 2021

MGGAN: Improving sample generations of Generative Adversarial Networks.

Hao Wu, Ligang He, Chang-Tsun Li, Junyu Li, Wentai Wu, Carsten Maple

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

A novel syntax-aware automatic graphics code generation with attention-based deep neural network.

Xiong Wen Pang, Yanqiang Zhou, Pengcheng Li, Weiwei Lin, Wentai Wu, James Z. Wang

J. Netw. Comput. Appl., 2020

2019

SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead.

Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Stephen A. Jarvis

CoRR, 2019

Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series.

Wentai Wu, Ligang He, Weiwei Lin

CoRR, 2019

2018

A heuristic task scheduling algorithm based on server power efficiency model in cloud environments.

Weiwei Lin, Weiqi Wang, Wentai Wu, Xiong Wen Pang, Bo Liu, Ying Zhang

Sustain. Comput. Informatics Syst., 2018

A Power Monitoring System Based on a Multi-Component Power Model.

Weiwei Lin, Haoyu Wang, Wentai Wu

Int. J. Grid High Perform. Comput., 2018

Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights.

Wentai Wu, Weiwei Lin, Ching-Hsien Hsu, Ligang He

Future Gener. Comput. Syst., 2018

Experimental and quantitative analysis of server power model for cloud data centers.

Weiwei Lin, Wentai Wu, Haoyu Wang, James Z. Wang, Ching-Hsien Hsu

Future Gener. Comput. Syst., 2018

2017

An intelligent power consumption model for virtual machines under CPU-intensive workload in cloud environment.

Wentai Wu, Weiwei Lin, Zhiping Peng

Soft Comput., 2017

2016

A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters.

Weiwei Lin, Wentai Wu, James Z. Wang

Sci. Program., 2016