Wentai Wu

56 papers A* 3Journal 51Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Client Selection in Federated Learning With Differential Privacy-Based Data Stream.
IEEE Trans. Netw.
Junru Wu, Chengxin Li, Wentai Wu, Young-June Choi, Hiroo Sekiya, Zhetao Li
2026 J jnl
Exact Federated Continual Unlearning for Ridge Heads on Frozen Foundation Models.
CoRR
Yijun Quan, Wentai Wu, Giovanni Montana
2026 A* conf
Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services.
AAAI
Jiahua Huang, Wentai Wu, Yongheng Liu, Guozhi Liu, Yang Wang, Weiwei Lin
2026 J jnl
Revisiting workflow scheduling with the power of edge computing: Taxonomy, review, and open challenges.
Comput. Sci. Rev.
Shenghai Li, Wentai Wu, Haotong Zhang, Yongheng Liu, Weiwei Lin, Keqin Li
2026 J jnl
SegRNN: Segment Recurrent Neural Network for Long-Term Time-Series Forecasting.
IEEE Internet Things J.
Shengsheng Lin, Weiwei Lin, Wentai Wu, Feiyu Zhao, Ruichao Mo, Haotong Zhang
2026 J jnl
SparseTSF: Lightweight and Robust Time Series Forecasting via Sparse Modeling.
IEEE Trans. Pattern Anal. Mach. Intell.
Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, C. L. Philip Chen
2025 J jnl
AdaptiveFL: Communication-Adaptive Federated Learning Under Dynamic Bandwidth.
IEEE Trans. Neural Networks Learn. Syst.
Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Wentai Wu, Li Shen
2025 J jnl
Cacomp: A Cloud-Assisted Collaborative Deep Learning Compiler Framework for DNN Tasks on Edge.
IEEE Trans. Computers
Weiwei Lin, Jinhui Lin, Haotong Zhang, Wentai Wu, Weizheng Wu, Zhetao Li, Keqin Li
2025 J jnl
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data.
CoRR
Wentai Wu, Ligang He, Saiqin Long, Ahmed M. Abdelmoniem, Yingliang Wu, Rui Mao
2025 J jnl
On Efficiency, Fairness and Security in AI Accelerator Resource Sharing: A Survey.
ACM Comput. Surv.
Jiahua Huang, Weiwei Lin, Wentai Wu, Yang Wang, Haocheng Zhong, Xinhua Wang, Keqin Li
2025 J jnl
PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer.
IEEE Trans. Emerg. Top. Comput. Intell.
Shengsheng Lin, Weiwei Lin, Wentai Wu, Songbo Wang, Yongxiang Wang
2025 J jnl
Pattern-Sensitive Local Differential Privacy for Finite-Range Time-Series Data in Mobile Crowdsensing.
IEEE Trans. Mob. Comput.
Zhetao Li, Xiyu Zeng, Yong Xiao, Chengxin Li, Wentai Wu, Haolin Liu
2025 J jnl
Reinforcement learning-based task scheduling for heterogeneous computing in end-edge-cloud environment.
Clust. Comput.
Wangbo Shen, Weiwei Lin, Wentai Wu, Haijie Wu, Keqin Li
2025 J jnl
SynFlowFL: A Dynamic Synaptic Flow Framework for Efficient, Personalized Federated Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Dongdong Li, Weiwei Lin, Wentai Wu, Haotong Zhang, Xiumin Wang
2025 J jnl
Towards imbalanced regression over distributionally biased data: A fast static approach.
Inf. Softw. Technol.
Wentai Wu, Ligang He, Weiwei Lin, Jinyi Long, Zhiquan Liu, C. L. Philip Chen
2024 J jnl
A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches.
Comput. Sci. Rev.
Peng Peng, Weiwei Lin, Wentai Wu, Haotong Zhang, Shaoliang Peng, Qingbo Wu, Keqin Li
2024 A* conf
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns.
NeurIPS
Shengsheng Lin, Weiwei Lin, Xinyi Hu, Wentai Wu, Ruichao Mo, Haocheng Zhong
2024 J jnl
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns.
CoRR
Shengsheng Lin, Weiwei Lin, Xinyi Hu, Wentai Wu, Ruichao Mo, Haocheng Zhong
2024 J jnl
Energy-aware virtual machine placement based on a holistic thermal model for cloud data centers.
Future Gener. Comput. Syst.
Jianpeng Lin, Weiwei Lin, Wentai Wu, Wenjun Lin, Keqin Li
2024 J jnl
Generative data augmentation with differential privacy for non-IID problem in decentralized clinical machine learning.
Future Gener. Comput. Syst.
Tianyu He, Peiyi Han, Shaoming Duan, Zirui Wang, Wentai Wu, Chuanyi Liu, Jianrun Han
2024 J jnl
HybridAD: A Hybrid Model-Driven Anomaly Detection Approach for Multivariate Time Series.
IEEE Trans. Emerg. Top. Comput. Intell.
Weiwei Lin, Songbo Wang, Wentai Wu, Dongdong Li, Albert Y. Zomaya
2024 J jnl
Reliable Task Offloading in Sustainable Edge Computing with Imperfect Channel State Information.
IEEE Trans. Netw. Serv. Manag.
Peng Peng, Wentai Wu, Weiwei Lin, Fan Zhang, Yongheng Liu, Keqin Li
2024 A* conf
SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters.
ICML
Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang
2024 J jnl
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters.
CoRR
Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang
2023 J jnl
An adaptive workload-aware power consumption measuring method for servers in cloud data centers.
Computing
Weiwei Lin, Yufeng Zhang, Wentai Wu, Simon Fong, Ligang He, Jia Chang
2023 J jnl
Evolving Deep Multiple Kernel Learning Networks Through Genetic Algorithms.
IEEE Trans. Ind. Informatics
Wangbo Shen, Weiwei Lin, Yulei Wu, Fang Shi, Wentai Wu, Keqin Li
2023 J jnl
FedProf: Selective Federated Learning Based on Distributional Representation Profiling.
IEEE Trans. Parallel Distributed Syst.
Wentai Wu, Ligang He, Weiwei Lin, Carsten Maple
2023 J jnl
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer.
CoRR
Shengsheng Lin, Weiwei Lin, Wentai Wu, Songbo Wang, Yongxiang Wang
2023 J jnl
Performance Interference of Virtual Machines: A Survey.
ACM Comput. Surv.
Weiwei Lin, Chennian Xiong, Wentai Wu, Fang Shi, Keqin Li, Minxian Xu
2023 J jnl
Publisher Correction to: Thermal‑aware virtual machine placement based on multi‑objective optimization.
J. Supercomput.
Bo Liu, Rui Chen, Weiwei Lin, Wentai Wu, Jianpeng Lin, Keqin Li
2023 J jnl
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting.
CoRR
Shengsheng Lin, Weiwei Lin, Wentai Wu, Feiyu Zhao, Ruichao Mo, Haotong Zhang
2023 J jnl
Thermal-aware virtual machine placement based on multi-objective optimization.
J. Supercomput.
Bo Liu, Rui Chen, Weiwei Lin, Wentai Wu, Jianpeng Lin, Keqin Li
2022 J jnl
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.
Weiwei Lin, Wentai Wu, Ligang He
2022 J jnl
Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality.
IEEE Trans. Knowl. Data Eng.
Wentai Wu, Ligang He, Weiwei Lin, Yi Su, Yuhua Cui, Carsten Maple, Stephen A. Jarvis
2022 J jnl
Multi-scale residual denoising GAN model for producing super-resolution CTA images.
J. Ambient Intell. Humaniz. Comput.
Pengcheng Li, Zhangyu Li, Xiongwen Pang, Hui Wang, Weiwei Lin, Wentai Wu
2022 J jnl
VFedCS: Optimizing Client Selection for Volatile Federated Learning.
IEEE Internet Things J.
Fang Shi, Chunchao Hu, Weiwei Lin, Lisheng Fan, Tiansheng Huang, Wentai Wu
2021 J jnl
A Power Consumption Model for Cloud Servers Based on Elman Neural Network.
IEEE Trans. Cloud Comput.
Wentai Wu, Weiwei Lin, Ligang He, Guangxin Wu, Ching-Hsien Hsu
2021 J jnl
A Taxonomy and Survey of Power Models and Power Modeling for Cloud Servers.
ACM Comput. Surv.
Weiwei Lin, Fang Shi, Wentai Wu, Keqin Li, Guangxin Wu, Al-Alas Mohammed
2021 J jnl
Accelerating Federated Learning Over Reliability-Agnostic Clients in Mobile Edge Computing Systems.
IEEE Trans. Parallel Distributed Syst.
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao
2021 J jnl
An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee.
IEEE Trans. Parallel Distributed Syst.
Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya
2021 J jnl
FedProf: Optimizing Federated Learning with Dynamic Data Profiling.
CoRR
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song
2021 — conf
MGGAN: Improving sample generations of Generative Adversarial Networks.
HPCC/DSS/SmartCity/DependSys
Hao Wu, Ligang He, Chang-Tsun Li, Junyu Li, Wentai Wu, Carsten Maple
2021 J jnl
SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead.
IEEE Trans. Computers
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Carsten Maple, Stephen A. Jarvis
2021 — —
Towards efficient horizontal federated learning.
Wentai Wu
2021 J jnl
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data.
CoRR
Wentai Wu, Ligang He, Weiwei Lin
2020 J jnl
A novel syntax-aware automatic graphics code generation with attention-based deep neural network.
J. Netw. Comput. Appl.
Xiong Wen Pang, Yanqiang Zhou, Pengcheng Li, Weiwei Lin, Wentai Wu, James Z. Wang
2020 J jnl
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems.
CoRR
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao
2020 J jnl
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee.
CoRR
Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya
2019 J jnl
Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series.
CoRR
Wentai Wu, Ligang He, Weiwei Lin
2019 J jnl
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead.
CoRR
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Stephen A. Jarvis
2018 J jnl
A Power Monitoring System Based on a Multi-Component Power Model.
Int. J. Grid High Perform. Comput.
Weiwei Lin, Haoyu Wang, Wentai Wu
2018 J jnl
A heuristic task scheduling algorithm based on server power efficiency model in cloud environments.
Sustain. Comput. Informatics Syst.
Weiwei Lin, Weiqi Wang, Wentai Wu, Xiong Wen Pang, Bo Liu, Ying Zhang
2018 J jnl
Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights.
Future Gener. Comput. Syst.
Wentai Wu, Weiwei Lin, Ching-Hsien Hsu, Ligang He
2018 J jnl
Experimental and quantitative analysis of server power model for cloud data centers.
Future Gener. Comput. Syst.
Weiwei Lin, Wentai Wu, Haoyu Wang, James Z. Wang, Ching-Hsien Hsu
2017 J jnl
An intelligent power consumption model for virtual machines under CPU-intensive workload in cloud environment.
Soft Comput.
Wentai Wu, Weiwei Lin, Zhiping Peng
2016 J jnl
A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters.
Sci. Program.
Weiwei Lin, Wentai Wu, James Z. Wang