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ORCIDWeiwei Lin 0001
Wei-Wei Lin 0001
Person information
- affiliation: South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
Other persons with the same name
- Weiwei Lin (aka: Wei-Wei Lin) — disambiguation page
- Weiwei Lin 0002
![[0000-0002-9241-0271]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9241-0271")
(aka: Wei-Wei Lin 0002) — Hong Kong Polytechnic University, Department of Electronic and Information Engineering, China - Weiwei Lin 0003 (aka: Wei-Wei Lin 0003) — Shanghai University, School of Computer Engineering and Science, China
- Wei-Wei Lin 0004 (aka: Weiwei Lin 0004) — National Central University, Department of Electrical Engineering, Jhong Li, Taiwan
- Weiwei Lin 0005 — Fujian Polytechnic Normal University, School of Electronic and Information Engineering, China
- Weiwei Lin 0006 — Aalto University, Department of Civil Engineering, School of Engineering, Espoo, Finland
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2020 – today
- 2024
[j101]Jiechao Liang, Weiwei Lin, Yangguang Xu, Yubin Liu, Ruichao Mo, Xiaoxuan Luo:
Energy-aware parameter tuning for mixed workloads in cloud server. Clust. Comput. 27(4): 4805-4821 (2024)- [j100]Guokai Wu, Huabin Wang, Weiwei Lin, Ruichao Mo, Xiaoxuan Luo:
FS-DBoost: cross-server energy efficiency and performance prediction in cloud based on transfer regression. Clust. Comput. 27(6): 7705-7719 (2024) - [j99]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: 100656 (2024) - [j98]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): 121520 (2024) - [j97]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: 302-314 (2024) - [j96]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: 101049 (2024) - [j95]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): 617-634 (2024) - [j94]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: 100977 (2024) - [j93]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: 100989 (2024) - [j92]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): 866-878 (2024) - [j91]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): 1402-1415 (2024) - [j90]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): 571-590 (2024) - [j89]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): 5697-5707 (2024) - [c17]Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang:
SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters. ICML 2024 - [i15]Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang:
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters. CoRR abs/2405.00946 (2024) - [i14]Shengsheng Lin, Weiwei Lin, Xinyi Hu, Wentai Wu, Ruichao Mo, Haocheng Zhong:
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns. CoRR abs/2409.18479 (2024) - 2023
- [j88]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): 1737-1751 (2023) - [j87]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): 1753-1766 (2023) - [j86]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): 2011-2025 (2023) - [j85]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): 515-538 (2023) - [j84]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): 577-594 (2023) - [j83]Weiwei Lin, Chennian Xiong, Wentai Wu, Fang Shi, Keqin Li, Minxian Xu:
Performance Interference of Virtual Machines: A Survey. ACM Comput. Surv. 55(12): 254:1-254:37 (2023) - [j82]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): 118908 (2023) - [j81]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: 105-116 (2023) - [j80]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: 578-589 (2023) - [j79]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): 84 (2023) - [j78]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): 2777-2797 (2023) - [j77]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): 3643-3655 (2023) - [j76]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): 1569-1580 (2023) - [j75]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): 12563-12590 (2023) - [j74]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): 17756-17757 (2023) - [j73]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) - [j72]Wentai Wu, Ligang He, Weiwei Lin, Carsten Maple:
FedProf: Selective Federated Learning Based on Distributional Representation Profiling. IEEE Trans. Parallel Distributed Syst. 34(6): 1942-1953 (2023) - [j71]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): 5265-5277 (2023) - [i13]Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao:
Fusion of Global and Local Knowledge for Personalized Federated Learning. CoRR abs/2302.11051 (2023) - [i12]Shengsheng Lin, Weiwei Lin, Wentai Wu, Songbo Wang, Yongxiang Wang:
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer. CoRR abs/2308.04791 (2023) - [i11]Shengsheng Lin, Weiwei Lin, Wentai Wu, Feiyu Zhao, Ruichao Mo, Haotong Zhang:
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting. CoRR abs/2308.11200 (2023) - 2022
- [j70]Yongde Zhang, Fagui Liu, Bin Wang, Weiwei Lin, Guoxiang Zhong, Minxian Xu, Keqin Li:
A multi-output prediction model for physical machine resource usage in cloud data centers. Future Gener. Comput. Syst. 130: 292-306 (2022) - [j69]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): 1-19 (2022) - [j68]Hongping Zhan, Weiwei Lin, Feiqiao Mao, Minxian Xu, Guangxin Wu, Guokai Wu, Jianzhuo Li:
BenchSubset: A framework for selecting benchmark subsets based on consensus clustering. Int. J. Intell. Syst. 37(8): 5248-5271 (2022) - [j67]Weiwei Lin, Yinhai Xu, Bo Liu, Dongdong Li, Tiansheng Huang, Fang Shi:
Contribution-based Federated Learning client selection. Int. J. Intell. Syst. 37(10): 7235-7260 (2022) - [j66]Tiansheng Huang, Weiwei Lin, Xiaobin Hong, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya:
Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply. IEEE Internet Things J. 9(10): 7446-7462 (2022) - [j65]Tiansheng Huang, Weiwei Lin, Li Shen, Keqin Li, Albert Y. Zomaya:
Stochastic Client Selection for Federated Learning With Volatile Clients. IEEE Internet Things J. 9(20): 20055-20070 (2022) - [j64]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): 24995-25010 (2022) - [j63]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): 1515-1524 (2022) - [j62]Weiwei Lin, Kun Yao, Lan Zeng, Fagui Liu, Chun Shan, Xiaobin Hong:
A GAN-based method for time-dependent cloud workload generation. J. Parallel Distributed Comput. 168: 33-44 (2022) - [j61]Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu:
PDMA: Probabilistic service migration approach for delay-aware and mobility-aware mobile edge computing. Softw. Pract. Exp. 52(2): 394-414 (2022) - [j60]Shuai Chen, Xiumin Wang, Pan Zhou, Weiwei Wu, Weiwei Lin, Zhenyu Wang:
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1113-1124 (2022) - [j59]Xinyang Wang, Lijuan Huang, Qiao Sun, Naqin Zhou, Yuehong Chen, Weiwei Lin, Keqin Li:
The g-extra diagnosability of the balanced hypercube under the PMC and MM* model. J. Supercomput. 78(5): 6995-7015 (2022) - [j58]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): 4147-4160 (2022) - [j57]Weiwei Lin, Tiansheng Huang, Xin Li, Fang Shi, Xiumin Wang, Ching-Hsien Hsu:
Energy-Efficient Computation Offloading for UAV-Assisted MEC: A Two-Stage Optimization Scheme. ACM Trans. Internet Techn. 22(1): 4:1-4:23 (2022) - [j56]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): 766-777 (2022) - [c16]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: 2076-2083 - [i10]Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao:
Achieving Personalized Federated Learning with Sparse Local Models. CoRR abs/2201.11380 (2022) - 2021
- [j55]Bin Wang, Fagui Liu, Weiwei Lin, Zhenjiang Ma, Dishi Xu:
Energy-efficient collaborative optimization for VM scheduling in cloud computing. Comput. Networks 201: 108565 (2021) - [j54]Fang Shi, Lisheng Fan, Xiazhi Lai, Yuehong Chen, Weiwei Lin:
A hierarchical caching strategy in content delivery network. Comput. Commun. 179: 92-101 (2021) - [j53]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): 100:1-100:41 (2021) - [j52]Bin Wang, Fagui Liu, Weiwei Lin:
Energy-efficient VM scheduling based on deep reinforcement learning. Future Gener. Comput. Syst. 125: 616-628 (2021) - [j51]Bo Liu, Jiawei Li, Weiwei Lin, Weihua Bai, Pengfei Li, Qian Gao:
K-PSO: An improved PSO-based container scheduling algorithm for big data applications. Int. J. Netw. Manag. 31(2) (2021) - [j50]Weiwei Lin, Tianhao Yu, Chongzhi Gao, Fagui Liu, Tengyue Li, Simon Fong, Yongxiang Wang:
A hardware-aware CPU power measurement based on the power-exponent function model for cloud servers. Inf. Sci. 547: 1045-1065 (2021) - [j49]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): 655-668 (2021) - [j48]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): 1268-1277 (2021) - [j47]Tiansheng Huang, Weiwei Lin, Chennian Xiong, Rui Pan, Jingxuan Huang:
An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing. IEEE Trans. Cybern. 51(11): 5595-5608 (2021) - [j46]Huiwen Cheng, Bo Liu, Weiwei Lin, Zehua Ma, Keqin Li, Ching-Hsien Hsu:
A survey of energy-saving technologies in cloud data centers. J. Supercomput. 77(11): 13385-13420 (2021) - [j45]Chenxin Dai, Xiumin Wang, Kai Liu, Deyu Qi, Weiwei Lin, Pan Zhou:
Stable Task Assignment for Mobile Crowdsensing With Budget Constraint. IEEE Trans. Mob. Comput. 20(12): 3439-3452 (2021) - [j44]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): 1539-1551 (2021) - [j43]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): 1552-1564 (2021) - [i9]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song:
FedProf: Optimizing Federated Learning with Dynamic Data Profiling. CoRR abs/2102.01733 (2021) - [i8]Tiansheng Huang, Weiwei Lin, Ying Li, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya:
Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply. CoRR abs/2102.05449 (2021) - [i7]Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu:
PDMA: Probabilistic Service Migration Approach for Delay-aware and Mobility-aware Mobile Edge Computing. CoRR abs/2106.05584 (2021) - [i6]Wentai Wu, Ligang He, Weiwei Lin:
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data. CoRR abs/2109.06565 (2021) - 2020
- [j42]Fagui Liu, Zhenjiang Ma, Bin Wang, Weiwei Lin:
A Virtual Machine Consolidation Algorithm Based on Ant Colony System and Extreme Learning Machine for Cloud Data Center. IEEE Access 8: 53-67 (2020) - [j41]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: 102636 (2020) - [j40]Delong Cui, Zhiping Peng, Jianbin Xiong, Bo Xu, Weiwei Lin:
A Reinforcement Learning-Based Mixed Job Scheduler Scheme for Grid or IaaS Cloud. IEEE Trans. Cloud Comput. 8(4): 1030-1039 (2020) - [j39]Xiong Wen Pang, Yanqiang Zhou, Pan Wang, Weiwei Lin, Victor Chang:
An innovative neural network approach for stock market prediction. J. Supercomput. 76(3): 2098-2118 (2020) - [j38]Wenwei Cai, Jiaxian Zhu, Weihua Bai, Weiwei Lin, Naqin Zhou, Keqin Li:
A cost saving and load balancing task scheduling model for computational biology in heterogeneous cloud datacenters. J. Supercomput. 76(8): 6113-6139 (2020) - [j37]Weiwei Lin, Guangxin Wu, Xinyang Wang, Keqin Li:
An Artificial Neural Network Approach to Power Consumption Model Construction for Servers in Cloud Data Centers. IEEE Trans. Sustain. Comput. 5(3): 329-340 (2020) - [c15]Antonio J. Tallón-Ballesteros, Simon Fong, Tengyue Li, Liansheng Liu, Thomas Hanne, Weiwei Lin:
Hybridized White Learning in Cloud-Based Picture Archiving and Communication System for Predictability and Interpretability. HAIS 2020: 511-521 - [c14]Kangli Hu, Weiwei Lin, Tiansheng Huang, Keqin Li, Like Ma:
Virtual Machine Consolidation for NUMA Systems: A Hybrid Heuristic Grey Wolf Approach. ICPADS 2020: 569-576 - [c13]Yurui Li, Weiwei Lin, Keqin Li, James Z. Wang, Fagui Liu, Jie Liu:
A Novel Classification Model to Predict Batch Job Failures in Co-located Cloud. ICPADS 2020: 577-584 - [i5]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao:
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems. CoRR abs/2007.14374 (2020) - [i4]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 abs/2011.01783 (2020) - [i3]Tiansheng Huang, Weiwei Lin, Keqin Li, Albert Y. Zomaya:
Stochastic Client Selection for Federated Learning with Volatile Clients. CoRR abs/2011.08756 (2020)
2010 – 2019
- 2019
- [j36]Ziming Wu, Weiwei Lin, Pan Liu, Jingbang Chen, Li Mao:
Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction. IEEE Access 7: 51759-51770 (2019) - [j35]Weihua Bai, Jiaxian Zhu, Huibing Zhang, Weiwei Lin, Jianqing Xi:
A Multi-Dimensional Resource Scheduling Strategy Based on Multilateral Complementarity. IEEE Access 7: 88481-88503 (2019) - [j34]Yingxuan Chen, Weiwei Lin, James Z. Wang:
A Dual-Attention-Based Stock Price Trend Prediction Model With Dual Features. IEEE Access 7: 148047-148058 (2019) - [j33]Weiwei Lin, Gaofeng Peng, Xinran Bian, Siyao Xu, Victor Chang, Yin Li:
Scheduling Algorithms for Heterogeneous Cloud Environment: Main Resource Load Balancing Algorithm and Time Balancing Algorithm. J. Grid Comput. 17(4): 699-726 (2019) - [j32]Weiwei Lin, Zilong Zhang, Shaoliang Peng:
Academic research trend analysis based on big data technology. Int. J. Comput. Sci. Eng. 20(1): 31-39 (2019) - [j31]Na Shu, Bo Liu, Weiwei Lin, Pengfei Li:
分布式机器学习平台与算法综述 (Survey of Distributed Machine Learning Platforms and Algorithms). 计算机科学 46(3): 9-18 (2019) - [j30]Yan Zhong, Simon Fong, Shimin Hu, Raymond K. Wong, Weiwei Lin:
A Novel Sensor Data Pre-Processing Methodology for the Internet of Things Using Anomaly Detection and Transfer-By-Subspace-Similarity Transformation. Sensors 19(20): 4536 (2019) - [j29]Tiansheng Huang, Weiwei Lin, Yin Li, Ligang He, Shaoliang Peng:
A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. J. Signal Process. Syst. 91(10): 1191-1204 (2019) - [c12]Jiawei Li, Bo Liu, Weiwei Lin, Pengfei Li, Qian Gao:
An Improved Container Scheduling Algorithm Based on PSO for Big Data Applications. CSS (1) 2019: 516-530 - [i2]Wentai Wu, Ligang He, Weiwei Lin:
Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series. CoRR abs/1908.01146 (2019) - [i1]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Stephen A. Jarvis:
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. CoRR abs/1910.01355 (2019) - 2018
- [j28]Xinyang Wang, Deyu Qi, Weiwei Lin, Mincong Yu, Zhishuo Zheng, Naqin Zhou, Pengguang Chen:
A general framework for big data knowledge discovery and integration. Concurr. Comput. Pract. Exp. 30(13) (2018) - [j27]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: 940-950 (2018) - [j26]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: 1351-1367 (2018) - [j25]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): 16-30 (2018) - [j24]Weiwei Lin, Haoyu Wang, Yufeng Zhang, Deyu Qi, James Z. Wang, Victor Chang:
A cloud server energy consumption measurement system for heterogeneous cloud environments. Inf. Sci. 468: 47-62 (2018) - [j23]Longxin Lin, Weiwei Lin, Sibin Huang:
Group object detection and tracking by combining RPCA and fractal analysis. Soft Comput. 22(1): 231-242 (2018) - [j22]Bo Liu, Pengfei Li, Weiwei Lin, Na Shu, Yin Li, Victor Chang:
A new container scheduling algorithm based on multi-objective optimization. Soft Comput. 22(23): 7741-7752 (2018) - [j21]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: 56-65 (2018) - [c11]Xiong Wen Pang, Yanqiang Zhou, Pan Wang, Weiwei Lin, Victor Chang:
Stock Market Prediction based on Deep Long Short Term Memory Neural Network. COMPLEXIS 2018: 102-108 - 2017
- [j20]Weiwei Lin, Ziming Wu, Longxin Lin, Angzhan Wen, Jin Li:
An Ensemble Random Forest Algorithm for Insurance Big Data Analysis. IEEE Access 5: 16568-16575 (2017) - [j19]Zhiping Peng, Bo Xu, Antonio Marcel Gates, Delong Cui, Weiwei Lin:
A Study of a Multi-Agent Organizational Framework with Virtual Machine Clusters as the Unit of Granularity in Cloud Computing. Comput. J. 60(7): 1032-1043 (2017) - [j18]Naqin Zhou, Deyu Qi, Xinyang Wang, Zhishuo Zheng, Weiwei Lin:
A list scheduling algorithm for heterogeneous systems based on a critical node cost table and pessimistic cost table. Concurr. Comput. Pract. Exp. 29(5) (2017) - [j17]Weiwei Lin, Siyao Xu, Ligang He, Jin Li:
Multi-resource scheduling and power simulation for cloud computing. Inf. Sci. 397: 168-186 (2017) - [j16]Beibei Li, Bo Liu, Weiwei Lin, Ying Zhang:
Performance analysis of clustering algorithm under two kinds of big data architecture. J. High Speed Networks 23(1): 49-57 (2017) - [j15]Longxin Lin, Weiwei Lin, Weijun Xiao, Sibin Huang:
An optimized video synopsis algorithm and its distributed processing model. Soft Comput. 21(4): 935-947 (2017) - [j14]Weiwei Lin, Siyao Xu, Jin Li, Lingling Xu, Zhiping Peng:
Design and theoretical analysis of virtual machine placement algorithm based on peak workload characteristics. Soft Comput. 21(5): 1301-1314 (2017) - [j13]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): 5755-5764 (2017) - [c10]Ziming Wu, Weiwei Lin, Zilong Zhang, Angzhan Wen, Longxin Lin:
An Ensemble Random Forest Algorithm for Insurance Big Data Analysis. CSE/EUC (1) 2017: 531-536 - 2016
- [j12]Xinyang Wang, Jiarong Liang, Deyu Qi, Weiwei Lin:
The twisted crossed cube. Concurr. Comput. Pract. Exp. 28(5): 1507-1526 (2016) - [j11]Li Mao, Deyu Qi, Weiwei Lin, Bo Liu, Ye Da Li:
An Energy-Efficient Resource Scheduling Algorithm for Cloud Computing based on Resource Equivalence Optimization. Int. J. Grid High Perform. Comput. 8(2): 43-57 (2016) - [j10]Xiong Wen Pang, Benshuai Wan, Huifang Li, Weiwei Lin:
MR-LDA: An Efficient Topic Model for Classification of Short Text in Big Social Data. Int. J. Grid High Perform. Comput. 8(4): 100-113 (2016) - [j9]Weiwei Lin, Wentai Wu, James Z. Wang:
A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters. Sci. Program. 2016: 7040276:1-7040276:10 (2016) - [c9]Zhiping Peng, Delong Cui, Yuanjia Ma, Jianbin Xiong, Bo Xu, Weiwei Lin:
A Reinforcement Learning-Based Mixed Job Scheduler Scheme for Cloud Computing under SLA Constraint. CSCloud 2016: 142-147 - [c8]Zhiping Peng, Delong Cui, Yuanjia Ma, Jianbin Xiong, Bo Xu, Weiwei Lin:
R-Learning and Gaussian Process Regression Algorithm for Cloud Job Access Control. CSCloud 2016: 163-166 - [c7]Zhiping Peng, Delong Cui, Jianbin Xiong, Bo Xu, Yuanjia Ma, Weiwei Lin:
Cloud Job Access Control Scheme Based on Gaussian Process Regression and Reinforcement Learning. FiCloud 2016: 276-284 - 2015
- [j8]Zhiping Peng, Delong Cui, Jinglong Zuo, Qirui Li, Bo Xu, Weiwei Lin:
Random task scheduling scheme based on reinforcement learning in cloud computing. Clust. Comput. 18(4): 1595-1607 (2015) - [j7]Li Mao, Deyu Qi, Weiwei Lin, Chaoyue Zhu:
A Self-Adaptive Prediction Algorithm for Cloud Workloads. Int. J. Grid High Perform. Comput. 7(2): 65-76 (2015) - [j6]Weiwei Lin, Chaoyue Zhu, Jin Li, Bo Liu, Huiqiong Lian:
Novel algorithms and equivalence optimisation for resource allocation in cloud computing. Int. J. Web Grid Serv. 11(2): 193-210 (2015) - [j5]Zhiping Peng, Bo Xu, Antonio Marcel Gates, Delong Cui, Weiwei Lin:
The Deasibility and Properties of Dividing Virtual Machine Resources using the Virtual Machine Cluster as the Unit in Cloud Computing. KSII Trans. Internet Inf. Syst. 9(7): 2649-2666 (2015) - [j4]Qiuping Wu, Bo Liu, Weiwei Lin:
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). 计算机科学 42(Z6): 332-336 (2015) - [c6]Zhiping Peng, Bo Xu, Delong Cui, Weiwei Lin, Xu An Wang:
Deployment Method of Virtual Machine Cluster Based on Energy Minimization and Graph Cuts Theory. 3PGCIC 2015: 800-803 - 2014
- [j3]Weiwei Lin, Liang Tan, James Z. Wang:
Novel Resource Allocation Algorithm for Energy-Efficient Cloud Computing in Heterogeneous Environment. Int. J. Grid High Perform. Comput. 6(1): 63-76 (2014) - [j2]Weiwei Lin, Chao Yang, Chaoyue Zhu, James Z. Wang, Zhiping Peng:
Energy Efficiency Oriented Scheduling for Heterogeneous Cloud Systems. Int. J. Grid High Perform. Comput. 6(4): 1-14 (2014) - [j1]Weiwei Lin, Chen Liang, James Z. Wang, Rajkumar Buyya:
Bandwidth-aware divisible task scheduling for cloud computing. Softw. Pract. Exp. 44(2): 163-174 (2014) - 2013
- [c5]Weiwei Lin, Baoyun Peng, Chen Liang, Bo Liu:
Novel Resource Allocation Model and Algorithms for Cloud Computing. EIDWT 2013: 77-82 - [c4]Liying Wu, Bo Liu, Weiwei Lin:
A Dynamic Data Fault-Tolerance Mechanism for Cloud Storage. EIDWT 2013: 95-99
2000 – 2009
- 2006
- [c3]Zhili Zhang, Zhenyu Wang, Deyu Qi, Weiwei Lin, Dong Zhang, Yongjun Li:
The Research of Scientific Computing Environment on Scilab. APWeb Workshops 2006: 791-798 - [c2]Weiwei Lin, Changgeng Guo, Deyu Qi, Yuehong Chen, Zhili Zhang:
Implementations of Grid-Based Distributed Parallel Computing. IMSCCS (1) 2006: 312-317 - [c1]Deyu Qi, Weiwei Lin:
TGrid: A New Grid Environment. IMSCCS (1) 2006: 611-618
Coauthor Index
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