The Research of Scientific Computing Environment on Scilab. - Zhili Zhang; Zhenyu Wang 001; Deyu Qi 001; Weiwei Lin 001; Dong Zhang; Yongjun Li (APWeb Workshops, 2006)

Implementations of Grid-Based Distributed Parallel Computing. - Weiwei Lin 001; Changgeng Guo; Deyu Qi 001; Yuehong Chen; Zhili Zhang (IMSCCS (1), 2006)

TGrid: A New Grid Environment. - Deyu Qi 001; Weiwei Lin 001 (IMSCCS (1), 2006)

Novel Resource Allocation Model and Algorithms for Cloud Computing. - Weiwei Lin 001; Baoyun Peng; Chen Liang; Bo Liu 045 (EIDWT, 2013)

A Dynamic Data Fault-Tolerance Mechanism for Cloud Storage. - Liying Wu; Bo Liu 045; Weiwei Lin 001 (EIDWT, 2013)

Novel Resource Allocation Algorithm for Energy-Efficient Cloud Computing in Heterogeneous Environment. - Weiwei Lin 001; Liang Tan; James Z. Wang 002 (Int. J. Grid High Perform. Comput., 2014)

Energy Efficiency Oriented Scheduling for Heterogeneous Cloud Systems. - Weiwei Lin 001; Chao Yang; Chaoyue Zhu; James Z. Wang 002; Zhiping Peng (Int. J. Grid High Perform. Comput., 2014)

Bandwidth-aware divisible task scheduling for cloud computing. - Weiwei Lin 001; Chen Liang; James Z. Wang 002; Rajkumar Buyya (Softw. Pract. Exp., 2014)

Deployment Method of Virtual Machine Cluster Based on Energy Minimization and Graph Cuts Theory. - Zhiping Peng; Bo Xu 019; Delong Cui; Weiwei Lin 001; Xu An Wang 014 (3PGCIC, 2015)

Random task scheduling scheme based on reinforcement learning in cloud computing. - Zhiping Peng; Delong Cui; Jinglong Zuo; Qirui Li; Bo Xu 019; Weiwei Lin 001 (Clust. Comput., 2015)

A Self-Adaptive Prediction Algorithm for Cloud Workloads. - Li Mao; Deyu Qi 001; Weiwei Lin 001; Chaoyue Zhu (Int. J. Grid High Perform. Comput., 2015)

Novel algorithms and equivalence optimisation for resource allocation in cloud computing. - Weiwei Lin 001; Chaoyue Zhu; Jin Li 002; Bo Liu 045; Huiqiong Lian (Int. J. Web Grid Serv., 2015)

The Deasibility and Properties of Dividing Virtual Machine Resources using the Virtual Machine Cluster as the Unit in Cloud Computing. - Zhiping Peng; Bo Xu 019; Antonio Marcel Gates; Delong Cui; Weiwei Lin 001 (KSII Trans. Internet Inf. Syst., 2015)

一种面向云存储数据容错的ARC缓存淘汰机制 (Adaptive Replacement Cache Mechanism for Fault Tolerance in Cloud Storage). - Qiuping Wu; Bo Liu 045; Weiwei Lin 001 (计算机科学, 2015)

A Reinforcement Learning-Based Mixed Job Scheduler Scheme for Cloud Computing under SLA Constraint. - Zhiping Peng; Delong Cui; Yuanjia Ma; Jianbin Xiong; Bo Xu 019; Weiwei Lin 001 (CSCloud, 2016)

R-Learning and Gaussian Process Regression Algorithm for Cloud Job Access Control. - Zhiping Peng; Delong Cui; Yuanjia Ma; Jianbin Xiong; Bo Xu 019; Weiwei Lin 001 (CSCloud, 2016)

Cloud Job Access Control Scheme Based on Gaussian Process Regression and Reinforcement Learning. - Zhiping Peng; Delong Cui; Jianbin Xiong; Bo Xu 019; Yuanjia Ma; Weiwei Lin 001 (FiCloud, 2016)

The twisted crossed cube. - Xinyang Wang; Jiarong Liang; Deyu Qi 001; Weiwei Lin 001 (Concurr. Comput. Pract. Exp., 2016)

An Energy-Efficient Resource Scheduling Algorithm for Cloud Computing based on Resource Equivalence Optimization. - Li Mao; Deyu Qi 001; Weiwei Lin 001; Bo Liu 045; Ye Da Li (Int. J. Grid High Perform. Comput., 2016)

MR-LDA: An Efficient Topic Model for Classification of Short Text in Big Social Data. - Xiong Wen Pang; Benshuai Wan; Huifang Li; Weiwei Lin 001 (Int. J. Grid High Perform. Comput., 2016)

A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters. - Weiwei Lin 001; Wentai Wu; James Z. Wang 002 (Sci. Program., 2016)

An Ensemble Random Forest Algorithm for Insurance Big Data Analysis. - Ziming Wu; Weiwei Lin 001; Zilong Zhang; Angzhan Wen; Longxin Lin (CSE/EUC (1), 2017)

An Ensemble Random Forest Algorithm for Insurance Big Data Analysis. - Weiwei Lin 001; Ziming Wu; Longxin Lin; Angzhan Wen; Jin Li 002 (IEEE Access, 2017)

A Study of a Multi-Agent Organizational Framework with Virtual Machine Clusters as the Unit of Granularity in Cloud Computing. - Zhiping Peng; Bo Xu 019; Antonio Marcel Gates; Delong Cui; Weiwei Lin 001 (Comput. J., 2017)

A list scheduling algorithm for heterogeneous systems based on a critical node cost table and pessimistic cost table. - Naqin Zhou; Deyu Qi 001; Xinyang Wang; Zhishuo Zheng; Weiwei Lin 001 (Concurr. Comput. Pract. Exp., 2017)

Multi-resource scheduling and power simulation for cloud computing. - Weiwei Lin 001; Siyao Xu; Ligang He; Jin Li 002 (Inf. Sci., 2017)

Performance analysis of clustering algorithm under two kinds of big data architecture. - Beibei Li; Bo Liu 045; Weiwei Lin 001; Ying Zhang (J. High Speed Networks, 2017)

An optimized video synopsis algorithm and its distributed processing model. - Longxin Lin; Weiwei Lin 001; Weijun Xiao; Sibin Huang (Soft Comput., 2017)

Design and theoretical analysis of virtual machine placement algorithm based on peak workload characteristics. - Weiwei Lin 001; Siyao Xu; Jin Li 002; Lingling Xu; Zhiping Peng (Soft Comput., 2017)

An intelligent power consumption model for virtual machines under CPU-intensive workload in cloud environment. - Wentai Wu; Weiwei Lin 001; Zhiping Peng (Soft Comput., 2017)

Stock Market Prediction based on Deep Long Short Term Memory Neural Network. - Xiong Wen Pang; Yanqiang Zhou; Pan Wang; Weiwei Lin 001; Victor Chang 001 (COMPLEXIS, 2018)

A general framework for big data knowledge discovery and integration. - Xinyang Wang; Deyu Qi 001; Weiwei Lin 001; Mincong Yu; Zhishuo Zheng; Naqin Zhou; Pengguang Chen (Concurr. Comput. Pract. Exp., 2018)

Experimental and quantitative analysis of server power model for cloud data centers. - Weiwei Lin 001; Wentai Wu; Haoyu Wang; James Z. Wang 002; Ching-Hsien Hsu (Future Gener. Comput. Syst., 2018)

Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights. - Wentai Wu; Weiwei Lin 001; Ching-Hsien Hsu; Ligang He (Future Gener. Comput. Syst., 2018)

A Power Monitoring System Based on a Multi-Component Power Model. - Weiwei Lin 001; Haoyu Wang; Wentai Wu (Int. J. Grid High Perform. Comput., 2018)

A cloud server energy consumption measurement system for heterogeneous cloud environments. - Weiwei Lin 001; Haoyu Wang; Yufeng Zhang; Deyu Qi 001; James Z. Wang 002; Victor Chang 001 (Inf. Sci., 2018)

Group object detection and tracking by combining RPCA and fractal analysis. - Longxin Lin; Weiwei Lin 001; Sibin Huang (Soft Comput., 2018)

A new container scheduling algorithm based on multi-objective optimization. - Bo Liu 045; Pengfei Li; Weiwei Lin 001; Na Shu; Yin Li; Victor Chang 001 (Soft Comput., 2018)

A heuristic task scheduling algorithm based on server power efficiency model in cloud environments. - Weiwei Lin 001; Weiqi Wang; Wentai Wu; Xiong Wen Pang; Bo Liu 045; Ying Zhang (Sustain. Comput. Informatics Syst., 2018)

An Improved Container Scheduling Algorithm Based on PSO for Big Data Applications. - Jiawei Li; Bo Liu 045; Weiwei Lin 001; Pengfei Li; Qian Gao (CSS (1), 2019)

A Multi-Dimensional Resource Scheduling Strategy Based on Multilateral Complementarity. - Weihua Bai; Jiaxian Zhu; Huibing Zhang; Weiwei Lin 001; Jianqing Xi (IEEE Access, 2019)

A Dual-Attention-Based Stock Price Trend Prediction Model With Dual Features. - Yingxuan Chen; Weiwei Lin 001; James Z. Wang 002 (IEEE Access, 2019)

Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction. - Ziming Wu; Weiwei Lin 001; Pan Liu; Jingbang Chen; Li Mao (IEEE Access, 2019)

Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series. - Wentai Wu; Ligang He; Weiwei Lin 001 (CoRR, 2019)

SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. - Wentai Wu; Ligang He; Weiwei Lin 001; Rui Mao 001; Stephen A. Jarvis (CoRR, 2019)

Scheduling Algorithms for Heterogeneous Cloud Environment: Main Resource Load Balancing Algorithm and Time Balancing Algorithm. - Weiwei Lin 001; Gaofeng Peng; Xinran Bian; Siyao Xu; Victor Chang 001; Yin Li (J. Grid Comput., 2019)

Academic research trend analysis based on big data technology. - Weiwei Lin 001; Zilong Zhang; Shaoliang Peng (Int. J. Comput. Sci. Eng., 2019)

分布式机器学习平台与算法综述 (Survey of Distributed Machine Learning Platforms and Algorithms). - Na Shu; Bo Liu 045; Weiwei Lin 001; Pengfei Li (计算机科学, 2019)

A Novel Sensor Data Pre-Processing Methodology for the Internet of Things Using Anomaly Detection and Transfer-By-Subspace-Similarity Transformation. - Yan Zhong 005; Simon Fong 001; Shimin Hu 002; Raymond K. Wong 001; Weiwei Lin 001 (Sensors, 2019)

A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. - Tiansheng Huang; Weiwei Lin 001; Yin Li; Ligang He; Shaoliang Peng (J. Signal Process. Syst., 2019)

Hybridized White Learning in Cloud-Based Picture Archiving and Communication System for Predictability and Interpretability. - Antonio J. Tallón-Ballesteros; Simon Fong 001; Tengyue Li; Liansheng Liu; Thomas Hanne; Weiwei Lin 001 (HAIS, 2020)

Virtual Machine Consolidation for NUMA Systems: A Hybrid Heuristic Grey Wolf Approach. - Kangli Hu; Weiwei Lin 001; Tiansheng Huang; Keqin Li 001; Like Ma (ICPADS, 2020)

A Novel Classification Model to Predict Batch Job Failures in Co-located Cloud. - Yurui Li 005; Weiwei Lin 001; Keqin Li 001; James Z. Wang 002; Fagui Liu; Jie Liu 002 (ICPADS, 2020)

A Virtual Machine Consolidation Algorithm Based on Ant Colony System and Extreme Learning Machine for Cloud Data Center. - Fagui Liu; Zhenjiang Ma; Bin Wang 048; Weiwei Lin 001 (IEEE Access, 2020)

Stochastic Client Selection for Federated Learning with Volatile Clients. - Tiansheng Huang; Weiwei Lin 001; Keqin Li 001; Albert Y. Zomaya (CoRR, 2020)

A novel syntax-aware automatic graphics code generation with attention-based deep neural network. - Xiong Wen Pang; Yanqiang Zhou; Pengcheng Li; Weiwei Lin 001; Wentai Wu; James Z. Wang 002 (J. Netw. Comput. Appl., 2020)

A Reinforcement Learning-Based Mixed Job Scheduler Scheme for Grid or IaaS Cloud. - Delong Cui; Zhiping Peng; Jianbin Xiong; Bo Xu 019; Weiwei Lin 001 (IEEE Trans. Cloud Comput., 2020)

A cost saving and load balancing task scheduling model for computational biology in heterogeneous cloud datacenters. - Wenwei Cai; Jiaxian Zhu; Weihua Bai; Weiwei Lin 001; Naqin Zhou; Keqin Li 001 (J. Supercomput., 2020)

An innovative neural network approach for stock market prediction. - Xiong Wen Pang; Yanqiang Zhou; Pan Wang; Weiwei Lin 001; Victor Chang 001 (J. Supercomput., 2020)

An Artificial Neural Network Approach to Power Consumption Model Construction for Servers in Cloud Data Centers. - Weiwei Lin 001; Guangxin Wu; Xinyang Wang; Keqin Li 001 (IEEE Trans. Sustain. Comput., 2020)

Energy-efficient collaborative optimization for VM scheduling in cloud computing. - Bin Wang 048; Fagui Liu; Weiwei Lin 001; Zhenjiang Ma; Dishi Xu (Comput. Networks, 2021)

A hierarchical caching strategy in content delivery network. - Fang Shi; Lisheng Fan; Xiazhi Lai; Yuehong Chen; Weiwei Lin 001 (Comput. Commun., 2021)

FedProf: Optimizing Federated Learning with Dynamic Data Profiling. - Wentai Wu; Ligang He; Weiwei Lin 001; Rui Mao 001; Chenlin Huang; Wei Song (CoRR, 2021)

Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply. - Tiansheng Huang; Weiwei Lin 001; Ying Li 001; Xiumin Wang; Qingbo Wu 003; Rui Li 047; Ching-Hsien Hsu; Albert Y. Zomaya (CoRR, 2021)

Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data. - Wentai Wu; Ligang He; Weiwei Lin 001 (CoRR, 2021)

A Taxonomy and Survey of Power Models and Power Modeling for Cloud Servers. - Weiwei Lin 001; Fang Shi; Wentai Wu; Keqin Li 001; Guangxin Wu; Al-Alas Mohammed (ACM Comput. Surv., 2021)

Energy-efficient VM scheduling based on deep reinforcement learning. - Bin Wang 048; Fagui Liu; Weiwei Lin 001 (Future Gener. Comput. Syst., 2021)

K-PSO: An improved PSO-based container scheduling algorithm for big data applications. - Bo Liu 045; Jiawei Li; Weiwei Lin 001; Weihua Bai; Pengfei Li; Qian Gao (Int. J. Netw. Manag., 2021)

A hardware-aware CPU power measurement based on the power-exponent function model for cloud servers. - Weiwei Lin 001; Tianhao Yu; Chongzhi Gao; Fagui Liu; Tengyue Li; Simon Fong 001; Yongxiang Wang (Inf. Sci., 2021)

SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead. - Wentai Wu; Ligang He; Weiwei Lin 001; Rui Mao 001; Carsten Maple; Stephen A. Jarvis (IEEE Trans. Computers, 2021)

A Power Consumption Model for Cloud Servers Based on Elman Neural Network. - Wentai Wu; Weiwei Lin 001; Ligang He; Guangxin Wu; Ching-Hsien Hsu (IEEE Trans. Cloud Comput., 2021)

An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing. - Tiansheng Huang; Weiwei Lin 001; Chennian Xiong; Rui Pan; Jingxuan Huang (IEEE Trans. Cybern., 2021)

A survey of energy-saving technologies in cloud data centers. - Huiwen Cheng; Bo Liu 045; Weiwei Lin 001; Zehua Ma; Keqin Li 001; Ching-Hsien Hsu (J. Supercomput., 2021)

Stable Task Assignment for Mobile Crowdsensing With Budget Constraint. - Chenxin Dai; Xiumin Wang; Kai Liu 001; Deyu Qi 001; Weiwei Lin 001; Pan Zhou 001 (IEEE Trans. Mob. Comput., 2021)

An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee. - Tiansheng Huang; Weiwei Lin 001; Wentai Wu; Ligang He; Keqin Li 001; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2021)

Accelerating Federated Learning Over Reliability-Agnostic Clients in Mobile Edge Computing Systems. - Wentai Wu; Ligang He; Weiwei Lin 001; Rui Mao 001 (IEEE Trans. Parallel Distributed Syst., 2021)

Optimization of the Pedestrian and Vehicle Detection Model based on Cloud-Edge Collaboration. - Huabin Wang; Yuping Chen; Bo Liu; Ruichao Mo; Weiwei Lin 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Achieving Personalized Federated Learning with Sparse Local Models. - Tiansheng Huang; Shiwei Liu 003; Li Shen 008; Fengxiang He; Weiwei Lin 001; Dacheng Tao (CoRR, 2022)

A multi-output prediction model for physical machine resource usage in cloud data centers. - Yongde Zhang; Fagui Liu; Bin Wang 048; Weiwei Lin 001; Guoxiang Zhong; Minxian Xu; Keqin Li 001 (Future Gener. Comput. Syst., 2022)

A Novel Interpretable Stock Selection Algorithm for Quantitative Trading. - Zhengrui Li; Weiwei Lin 001; James Z. Wang 002; Peng Peng 005; Jianpeng Lin; Victor Chang 001; Jianghu Pan (Int. J. Grid High Perform. Comput., 2022)

Contribution-based Federated Learning client selection. - Weiwei Lin 001; Yinhai Xu; Bo Liu 001; Dongdong Li; Tiansheng Huang; Fang Shi (Int. J. Intell. Syst., 2022)

BenchSubset: A framework for selecting benchmark subsets based on consensus clustering. - Hongping Zhan; Weiwei Lin 001; Feiqiao Mao; Minxian Xu; Guangxin Wu; Guokai Wu; Jianzhuo Li (Int. J. Intell. Syst., 2022)

Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply. - Tiansheng Huang; Weiwei Lin 001; Xiaobin Hong; Xiumin Wang; Qingbo Wu 003; Rui Li 047; Ching-Hsien Hsu; Albert Y. Zomaya (IEEE Internet Things J., 2022)

Stochastic Client Selection for Federated Learning With Volatile Clients. - Tiansheng Huang; Weiwei Lin 001; Li Shen 008; Keqin Li 001; Albert Y. Zomaya (IEEE Internet Things J., 2022)

VFedCS: Optimizing Client Selection for Volatile Federated Learning. - Fang Shi; Chunchao Hu; Weiwei Lin 001; Lisheng Fan; Tiansheng Huang; Wentai Wu (IEEE Internet Things J., 2022)

Multi-scale residual denoising GAN model for producing super-resolution CTA images. - Pengcheng Li; Zhangyu Li; Xiongwen Pang; Hui Wang; Weiwei Lin 001; Wentai Wu (J. Ambient Intell. Humaniz. Comput., 2022)

A GAN-based method for time-dependent cloud workload generation. - Weiwei Lin 001; Kun Yao; Lan Zeng; Fagui Liu; Chun Shan; Xiaobin Hong (J. Parallel Distributed Comput., 2022)

PDMA: Probabilistic service migration approach for delay-aware and mobility-aware mobile edge computing. - Minxian Xu; Qiheng Zhou; Huaming Wu; Weiwei Lin 001; Kejiang Ye; Chengzhong Xu 001 (Softw. Pract. Exp., 2022)

Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach. - Shuai Chen; Xiumin Wang; Pan Zhou 001; Weiwei Wu 001; Weiwei Lin 001; Zhenyu Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

The g-extra diagnosability of the balanced hypercube under the PMC and MM* model. - Xinyang Wang; Lijuan Huang; Qiao Sun; Naqin Zhou; Yuehong Chen; Weiwei Lin 001; Keqin Li 001 (J. Supercomput., 2022)

Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality. - Wentai Wu; Ligang He; Weiwei Lin 001; Yi Su; Yuhua Cui; Carsten Maple; Stephen A. Jarvis (IEEE Trans. Knowl. Data Eng., 2022)

Energy-Efficient Computation Offloading for UAV-Assisted MEC: A Two-Stage Optimization Scheme. - Weiwei Lin 001; Tiansheng Huang; Xin Li 116; Fang Shi; Xiumin Wang; Ching-Hsien Hsu (ACM Trans. Internet Techn., 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 001; Wentai Wu; Ligang He (IEEE Trans. Serv. Comput., 2022)

Deep-profiling: a deep neural network model for scholarly Web user profiling. - Weiwei Lin 001; Haojun Xu; Jianzhuo Li; Ziming Wu; Zhengyang Hu 003; Victor Chang 001; James Z. Wang 002 (Clust. Comput., 2023)

HCIndex: a Hilbert-Curve-based clustering index for efficient multi-dimensional queries for cloud storage systems. - Xinyang Wang; Yu Sun; Qiao Sun; Weiwei Lin 001; James Z. Wang 002; Wei Li 058 (Clust. Comput., 2023)

Budget-deadline constrained approach for scientific workflows scheduling in a cloud environment. - Naqin Zhou; Weiwei Lin 001; Wei Feng; Fang Shi; Xiongwen Pang (Clust. Comput., 2023)

SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting. - Shengsheng Lin; Weiwei Lin 001; Wentai Wu; Feiyu Zhao; Ruichao Mo; Haotong Zhang 003 (CoRR, 2023)

An interpretable intuitionistic fuzzy inference model for stock prediction. - Weiming Wang; Weiwei Lin 001; Yiming Wen; Xiaozheng Lai; Peng Peng 005; Yi Zhang 025; Keqin Li 001 (Expert Syst. Appl., 2023)

An Energy-Efficient Tuning Method for Cloud Servers Combining DVFS and Parameter Optimization. - Weiwei Lin 001; Xiaoxuan Luo; ChunKi Li; Jiechao Liang; Guokai Wu; Keqin Li 001 (IEEE Trans. Cloud Comput., 2023)

Evolving Deep Multiple Kernel Learning Networks Through Genetic Algorithms. - Wangbo Shen; Weiwei Lin 001; Yulei Wu; Fang Shi; Wentai Wu; Keqin Li 001 (IEEE Trans. Ind. Informatics, 2023)

Thermal-aware virtual machine placement based on multi-objective optimization. - Bo Liu 045; Rui Chen; Weiwei Lin 001; Wentai Wu; Jianpeng Lin; Keqin Li 001 (J. Supercomput., 2023)

Fusion of Global and Local Knowledge for Personalized Federated Learning. - Tiansheng Huang; Li Shen 008; Yan Sun; Weiwei Lin 001; Dacheng Tao (Trans. Mach. Learn. Res., 2023)

An adaptive workload-aware power consumption measuring method for servers in cloud data centers. - Weiwei Lin 001; Yufeng Zhang; Wentai Wu; Simon Fong 001; Ligang He; Jia Chang (Computing, 2023)

A novel approach for CPU load prediction of cloud server combining denoising and error correction. - Shingchern D. You; Weiwei Lin 001; Fang Shi; Jianzhuo Li; De Yu Qi 001; Simon Fong 001 (Computing, 2023)

MCCP: Multi-Collaboration Channel Pruning for Model Compression. - Yuanchao Yan; Bo Liu 045; Weiwei Lin 001; Yuping Chen; Keqin Li 001; Jiangtao Ou; Chengyuan Fan (Neural Process. Lett., 2023)

FedProf: Selective Federated Learning Based on Distributional Representation Profiling. - Wentai Wu; Ligang He; Weiwei Lin 001; Carsten Maple (IEEE Trans. Parallel Distributed Syst., 2023)

A package-aware scheduling strategy for edge serverless functions based on multi-stage optimization. - Senjiong Zheng; Bo Liu 045; Weiwei Lin 001; Xiaoying Ye; Keqin Li 001 (Future Gener. Comput. Syst., 2023)

Power and thermal-aware virtual machine scheduling optimization in cloud data center. - Rui Chen; Bo Liu 045; Weiwei Lin 001; Jianpeng Lin; Huiwen Cheng; Keqin Li 001 (Future Gener. Comput. Syst., 2023)

Efficient Client Selection Based on Contextual Combinatorial Multi-Arm Bandits. - Fang Shi; Weiwei Lin 001; Lisheng Fan; Xiazhi Lai; Xiumin Wang (IEEE Trans. Wirel. Commun., 2023)

Publisher Correction to: Thermal‑aware virtual machine placement based on multi‑objective optimization. - Bo Liu 045; Rui Chen; Weiwei Lin 001; Wentai Wu; Jianpeng Lin; Keqin Li 001 (J. Supercomput., 2023)

Performance Interference of Virtual Machines: A Survey. - Weiwei Lin 001; Chennian Xiong; Wentai Wu; Fang Shi; Keqin Li 001; Minxian Xu (ACM Comput. Surv., 2023)

A resource scheduling method for cloud data centers based on thermal management. - Li Mao; Rui Chen; Huiwen Cheng; Weiwei Lin 001; Bo Liu; James Z. Wang 002 (J. Cloud Comput., 2023)

SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters. - Shengsheng Lin; Weiwei Lin 001; Wentai Wu; Haojun Chen; Junjie Yang (ICML, 2024)

CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns. - Shengsheng Lin; Weiwei Lin 001; Xinyi Hu; Wentai Wu; Ruichao Mo; Haocheng Zhong (NeurIPS, 2024)

A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches. - Peng Peng 005; Weiwei Lin 001; Wentai Wu; Haotong Zhang 003; Shaoliang Peng; Qingbo Wu 003; Keqin Li 001 (Comput. Sci. Rev., 2024)

Energy-aware virtual machine placement based on a holistic thermal model for cloud data centers. - Jianpeng Lin; Weiwei Lin 001; Wentai Wu; Wenjun Lin; Keqin Li 001 (Future Gener. Comput. Syst., 2024)

An optimal container update method for edge-cloud collaboration. - Haotong Zhang 003; Weiwei Lin 001; Rong Xie; Shenghai Li; Zhiyan Dai; James Z. Wang 002 (Softw. Pract. Exp., 2024)

A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control. - Wenjun Lin; Weiwei Lin 001; Jianpeng Lin; Haocheng Zhong; Jiangtao Wang; Ligang He (Sustain. Comput. Informatics Syst., 2024)

A systematic review of green-aware management techniques for sustainable data center. - Weiwei Lin 001; Jianpeng Lin; Zhiping Peng; Huikang Huang; Wenjun Lin; Keqin Li 001 (Sustain. Comput. Informatics Syst., 2024)

Thermal Modeling and Thermal-Aware Energy Saving Methods for Cloud Data Centers: A Review. - Jianpeng Lin; Weiwei Lin 001; Huikang Huang; Wenjun Lin; Keqin Li 001 (IEEE Trans. Sustain. Comput., 2024)

HybridAD: A Hybrid Model-Driven Anomaly Detection Approach for Multivariate Time Series. - Weiwei Lin 001; Songbo Wang; Wentai Wu; Dongdong Li; Albert Y. Zomaya (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Attention-based CNN-LSTM for high-frequency multiple cryptocurrency trend prediction. - Peng Peng 005; Yuehong Chen; Weiwei Lin 001; James Z. Wang 002 (Expert Syst. Appl., 2024)

Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems. - Shengsheng Lin; Weiwei Lin 001; Keyi Wu; Songbo Wang; Minxian Xu; James Z. Wang 002 (Internet Things, 2024)

Time-Sensitive Federated Learning With Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach. - Weijian Pan; Xiumin Wang; Pan Zhou 001; Weiwei Lin 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Energy-aware parameter tuning for mixed workloads in cloud server. - Jiechao Liang; Weiwei Lin 001; Yangguang Xu; Yubin Liu; Ruichao Mo; Xiaoxuan Luo (Clust. Comput., 2024)

Generation of high-order random key matrix for Hill Cipher encryption using the modular multiplicative inverse of triangular matrices. - Yuehong Chen; Rong Xie; Haotong Zhang 003; Dongdong Li; Weiwei Lin 001 (Wirel. Networks, 2024)

FS-DBoost: cross-server energy efficiency and performance prediction in cloud based on transfer regression. - Guokai Wu; Huabin Wang; Weiwei Lin 001; Ruichao Mo; Xiaoxuan Luo (Clust. Comput., 2024)

Joint AoI-Aware UAVs Trajectory Planning and Data Collection in UAV-Based IoT Systems: A Deep Reinforcement Learning Approach. - Xiongbing Xiao; Xiumin Wang; Weiwei Lin 001 (IEEE Trans. Consumer Electron., 2024)

The Analysis and Optimization of Volatile Clients in Over-the-Air Federated Learning. - Fang Shi; Weiwei Lin 001; Xiumin Wang; Keqin Li 001; Albert Y. Zomaya (IEEE Trans. Mob. Comput., 2024)

Reliable Task Offloading in Sustainable Edge Computing with Imperfect Channel State Information. - Peng Peng 005; Wentai Wu; Weiwei Lin 001; Fan Zhang 112; Yongheng Liu; Keqin Li 001 (IEEE Trans. Netw. Serv. Manag., 2024)

Generic User Behavior: A User Behavior Similarity-Based Recommendation Method. - Zhengyang Hu 003; Weiwei Lin 001; Xiaoying Ye; Haojun Xu; Haocheng Zhong; Huikang Huang; Xinyang Wang (Big Data, 2025)

Learning from imbalance: Cross-server power prediction in large data centers via domain adaptation regression. - Ruichao Mo; Weiwei Lin 001; Guozhi Liu; Haolin Liu; Ligang He (Expert Syst. Appl., 2025)

GAS-MARL: Green-Aware job Scheduling algorithm for HPC clusters based on Multi-Action Deep Reinforcement Learning. - Rui Chen; Wei-Wei Lin 001; Huikang Huang; Xiaoying Ye; Zhiping Peng (Future Gener. Comput. Syst., 2025)

CASR: Optimizing cold start and resources utilization in serverless computing. - Yu Chen; Bo Liu; Weiwei Lin 001; Yulin Guo; Zhiping Peng (Future Gener. Comput. Syst., 2025)

Dynamic neighborhood grouping-based multi-objective scheduling algorithm for workflow in hybrid cloud. - Yulin Guo; Bo Liu; Weiwei Lin 001; Xiaoying Ye; James Zijun Wang (Future Gener. Comput. Syst., 2025)

AMORA: An Advanced Malleable and Operational Framework for Performance Prediction of Big Data Systems. - Weiwei Lin 001; Haojun Xu; Haocheng Zhong; Fan Chen; Zhengyang Hu 003 (Softw. Pract. Exp., 2025)

Li-MSA: Power Consumption Prediction of Servers Based on Few-Shot Learning. - Saiqin Long; Yuan Li; Zhetao Li; Guoqi Xie; Weiwei Lin 001; Kenli Li 001 (IEEE Trans. Serv. Comput., 2025)

Prediction of Heterogeneous Device Task Runtime Based on Edge Server-Oriented Deep Neuro-Fuzzy System. - Haijie Wu; Weiwei Lin 001; Wangbo Shen; Xiumin Wang; C. L. Philip Chen; Keqin Li 001 (IEEE Trans. Serv. Comput., 2025)

MSCNet: Multi-Scale Network With Convolutions for Long-Term Cloud Workload Prediction. - Feiyu Zhao; Weiwei Lin 001; Shengsheng Lin; Shaomin Tang; Keqin Li 001 (IEEE Trans. Serv. Comput., 2025)

TFEGRU: Time-Frequency Enhanced Gated Recurrent Unit With Attention for Cloud Workload Prediction. - Feiyu Zhao; Wei-Wei Lin 001; Shengsheng Lin; Haocheng Zhong; Keqin Li 001 (IEEE Trans. Serv. Comput., 2025)

Power Management Optimization for Data Centers: A Power Supply Perspective. - Huikang Huang; Weiwei Lin 001; Jianpeng Lin; Keqin Li 001 (IEEE Trans. Sustain. Comput., 2025)

Benchmarking and revisiting time series forecasting methods in cloud workload prediction. - Shengsheng Lin; Weiwei Lin 001; Feiyu Zhao; Haojun Chen (Clust. Comput., 2025)

PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer. - Shengsheng Lin; Weiwei Lin 001; Wentai Wu; Songbo Wang; Yongxiang Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

End-Edge-Cloud Heterogeneous Resources Scheduling Method Based on RNN and Particle Swarm Optimization. - Haijie Wu; Wangbo Shen; Weiwei Lin 001; Wei Li 058; Keqin Li 001 (IEEE Trans. Netw. Serv. Manag., 2025)

Reinforcement learning-based task scheduling for heterogeneous computing in end-edge-cloud environment. - Wangbo Shen; Weiwei Lin 001; Wentai Wu; Haijie Wu; Keqin Li 001 (Clust. Comput., 2025)

Dynamic Client Selection for Over-the-Air Federated Learning Network. - Fang Shi; Weiwei Lin 001; Chaoda Peng; Cankun Zhong; Dong Wang; Mingyue Cheng (IEEE Internet Things J., 2025)

Adaptive Incremental Broad Learning System Based on Interval Type-2 Fuzzy Set With Automatic Determination of Hyperparameters. - Haijie Wu; Weiwei Lin 001; Yuehong Chen; Fang Shi; Wangbo Shen; C. L. Philip Chen (IEEE Trans. Fuzzy Syst., 2025)

Public Datasets for Cloud Computing: A Comprehensive Survey. - Guozhi Liu; Weiwei Lin 001; Haotong Zhang 003; Jianpeng Lin; Shaoliang Peng; Keqin Li 001 (ACM Comput. Surv., 2025)

Cacomp: A Cloud-Assisted Collaborative Deep Learning Compiler Framework for DNN Tasks on Edge. - Weiwei Lin 001; Jinhui Lin; Haotong Zhang 003; Wentai Wu; Weizheng Wu; Zhetao Li; Keqin Li 001 (IEEE Trans. Computers, 2025)

EarlyBirdFL: Leveraging Early Bird Ticket Networks for Enhanced Personalized Learning. - Dongdong Li; Weiwei Lin 001; Wenying Duan; Bo Liu 045; Victor Chang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

K-Core Structure Feature Encoding-Based Enhanced Federated Graph Learning Framework. - Dongdong Li; Bo Liu; Chunqiao Yang; Fang Shi; Yunfei Peng; Weiwei Lin 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

On Efficiency, Fairness and Security in AI Accelerator Resource Sharing: A Survey. - Jiahua Huang; Weiwei Lin 001; Wentai Wu; Yang Wang 006; Haocheng Zhong; Xinhua Wang; Keqin Li 001 (ACM Comput. Surv., 2025)

Container Scheduling Strategy Based on Image Layer Reuse and Sequential Arrangement in Mobile Edge Computing. - Haijie Wu; Weiwei Lin 001; Haotong Zhang 003; Fang Shi; Wangbo Shen; Keqin Li 001; Albert Y. Zomaya (IEEE Trans. Mob. Comput., 2025)

CAGO-ECIL: Cloud-Assisted Genetic Optimization for Edge-Class Incremental Learning with training acceleration. - Huayue Zeng; Wangbo Shen; Haijie Wu; Min Dong; Weiwei Lin 001; C. L. Philip Chen (Future Gener. Comput. Syst., 2026)

Adaptive multi-objective swarm intelligence for containerized microservice deployment. - Jiaxian Zhu; Weihua Bai; Huibing Zhang; Weiwei Lin 001; Teng Zhou; Keqin Li 001 (Future Gener. Comput. Syst., 2026)