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[46]Tiansheng Huang, Weiwei Lin*, Wentai Wu, Ligang He, Keqin Li, Albert Zomaya. An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee. IEEE Transactions on Parallel and Distributed Systems, 2021, 32(7): 1552-1564
[45]Wentai Wu, Ligang He*, Weiwei Lin, Rui Mao. Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems. IEEE Transactions on Parallel and Distributed Systems, 2021, 32(7): 1539-1551
[44]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. Information Sciences, 2021,547, 1045-1065
[43]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 Transactions on Knowledge and Data Engineering, 2020, DOI:10.1109/TKDE.2020.3035685
[42]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 Transactions on Internet Technology, 2020, accepted
[41]陈玉平, 刘波, 林伟伟*, 程慧雯. 云边协同综述. 计算机科学, 2021
[40]You Deguang, Weiwei Lin, Fang Shi, Jianzhuo Li, Deyu Qi, Simon Fong. A Novel Approach for CPU Load Prediction of Cloud Server Combining Denoising and Error Correction Computing. Computing, 2020,DOI:10.1007/s00607-020-00865-y
[39]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 Transactions on Sustainable Computing, 2020, 5(3):329-34
[38]马泽华, 刘波, 林伟伟*, 李加伟. 无服务器平台资源调度综述. 计算机科学, 2021
[37]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 Computing Surveys, 2020, Accepted
[36]Tiansheng Huang, Weiwei Lin*, Chennian Xiong, Rui Pan, Jingxuan Huang. An Ant Colony Optimization Based Multi-objective Service Replicas Placement Strategy for Fog Computing. IEEE Transactions on Cybernetics, 2020, DOI:10.1109/TCYB.2020.2989309.
[35]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Carsten Maple, Stephen Jarvis. SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. IEEE Transactions on Computers, 2020, DOI 10.1109/TC.2020.2994391
[34]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, 2020, DOI: 10.1007/s00607-020-00819-4
[33]Chenxin Dai, Xiumin Wang*, Kai Liu, Deyu Qi, Weiwei Lin, Pan Zhou. Stable Task Assignment for Mobile Crowdsensing with Budget Constraint. IEEE Transactions on Mobile Computing, 2020, DOI: 10.1109/TMC.2020.3000234
[32]Pang, Xiongwen and Zhou, Yanqiang and Li, Pengcheng and Lin, Weiwei* and Wu, Wentai and Wang, James Z. A novel syntax-aware automatic graphics code generation with attention-based deep neural network[J]. Journal of Network and Computer Applications, 2020: 102636.
[31]Xiongwen Pang, Yanqiang Zhou, Pan Wang, Weiwei Lin*, Victor Chang. An Innovative Neural Network Approach for Stock Market Prediction. The Journal of Supercomputing, 2020,76:2098–2118.
[30]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 Transactions on Services Computing, 2019, DOI: 10.1109/TSC.2019.2961082
[29]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. Journal of Grid Computing, 2019, 17(4), 699-726.
[28]Yingxuan Chen, Weiwei Lin*, James Z. Wang. A dual-attention-based stock price trend prediction model with dual features. IEEE Access, 2019,7(1):148047-148058
[27]Weiwei Lin*, Zilong Zhang, Shaoliang Peng. Academic research trend analysis based on big data technology. International Journal of Computational Science and Engineering, 2019, 20(1): 31-39.
[26] Wentai Wu, Weiwei Lin*, Ligang He, Guangxin Wu, Ching-Hsien Hsu. A Power Consumption Model for Cloud Servers Based on Elman Neural Network. IEEE Transactions on Cloud Computing, 2019, DOI: 10.1109/TCC.2019.2922379
[25] Yan Zhong, Simon Fong, Shimin Hu, Raymond 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, 2019, 19(20): 4536.
[24] 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 Transactions on Sustainable Computing, 2019, DOI: 10.1109/TSUSC.2019.2910129
[23] Ziming Wu, Weiwei Lin*, pan liu, jingbang chen, li mao. Predicting long-term scientific impact based on multi-field feature extraction. IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2910239
[22] 舒娜, 刘波, 林伟伟*, 李鹏飞. 分布式机器学习平台与算法综述. 计算机科学, 2019, 46(3): 9-18.
[21] Tiansheng Huang, Weiwei Lin*, Yin Li,LiGang HeShao,Liang Peng. A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. Journal of Signal Processing Systems, 2019: 1-14.
[20] Weiwei Lin*, Zilong Zhang, Shaoliang Peng. Academic research trend analysis based on big data technology. International Journal of Computational Science and Engineering, 2018,DOI: 10.1504/IJCSE.2017.10016151
[19] Wei-Wei Lin, Wen-Tai Wu, Hao-Yu Wang, James Z. Wang, Ching-Hsien Hsu. Experimental and Quantitative Analysis of Server Power Model for Cloud Data Centers. Future Generation Computer Systems, 2018,86:940-950.
[18] Weiwei Lin*, Haoyu Wang, Yufeng Zhang, Deyu Qi, James Z. Wang, Victor Chang. A cloud server energy consumption measurement system for heterogeneous cloud environments. information sciences, , 2018, 468: 47-62
[17] 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 Generation Computer Systems,2018,86:1351-1367.
[16] Lin Longxin, Weiwei Lin*, and Huang Sibin. Group object detection and tracking by combining RPCA and fractal analysis. Soft Computing， 2018, 22(1): 231-242.
[15] Delong Cui, Zhiping Peng, Jianbin Xiong, Bo Xu, Weiwei Lin. A Reinforcement Learning-based Mixed Job Scheduler Scheme for Grid or IaaS Cloud. IEEE Transactions on Cloud Computing, 2017.
[14] Weiwei Lin, Weiqi Wang, Wentai Wu,Xiongwen Pang, Bo Liu, et al.. A Heuristic Task Scheduling Algorithm Based on Server Power Efficiency Model in Cloud Environments. Sustainable Computing: Informatics and Systems, 2017,DOI:10.1016/j.suscom.2017.10.007
[13] Wentai Wu, Weiwei Lin*, Zhiping Peng. An Intelligent Power Consumption Model for Virtual Machines under CPU-intensive workload in Cloud Environment . Soft Computing.2017, 21(19):5755–5764.
[12] Weiwei Lin, Ziming Wu, Longxin Lin, Angzhan Wen and Jin Li. An Ensemble Random Forest Algorithm for Insurance Big Data Analysis. IEEE Access，2017, 5(11):16568-16575
[11]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 Computing. 2017, 21(5): 1301-1314
[10] Weiwei lin, Siyao xu, Ligang He, Jin Li. Multi-Resource Scheduling and Power Simulation for Cloud Computing. Information Sciences, 2017, 397: 168-186.
[9] Wei-Wei Lin, Wen-Tai Wu, Hao-Yu Wang, James Z. Wang, Ching-Hsien Hsu. Experimental and Quantitative Analysis of Server Power Model for Cloud Data Centers. Future Generation Computer Systems, 2018,86:940-950, DOI: 10.1016/j.future.2016.11.034
[8] 徐思尧，林伟伟*，王子骏. 基于负载高峰特征的虚拟机放置算法. 软件学报, 2016,27(7):1876-1887
[7] 林伟伟,吴文泰. 面向云计算环境的能耗测量和管理方法. 软件学报,2016,27(4):1026-1041
[6] Weiwei Lin, Wentai Wu, James Z. Wang. A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters. Scientific Programming, Volume 2016 (2016), Article ID 7040276, 10 pages,http://dx.doi.org/10.1155/2016/7040276.
[5] Wang Xinyang, Liang Jiarong , Qi Deyu, lin Weiwei. . The twisted crossed cube. Concurrency and Computation: Practice and Experience, 2016,28: 1507–1526.
[5] Weiwei Lin, Chaoyue Zhu, Jin Li, Bo Liu, Huiqiong Lian. Novel Algorithms and Equivalence Optimization for Resource Allocation in Cloud Computing. International Journal of Web and Grid Services, 2015,11(2):193-210
[4] Wei-Wei Lin, Chao Yang, Chao-yue zhu, James Z. Wang, Zhi-ping Peng. Energy Efficiency Oriented Scheduling for Heterogeneous Cloud Systems. International Journal of Grid and High Performance Computing, 2014, 6(4): 1-14.
[3] Weiwei Lin, Chen Liang, James Z. Wang, and Rajkumar Buyya. Bandwidth-aware divisible task scheduling for cloud computing. Software: Practice and Experience[J], ISSN: 0038-0644, Wiley Press, New York, USA, 2014,44(2):163–174
[2] Wei-Wei Lin, Liang Tian, James Z. Wang. Novel Resource Allocation Algorithm for Energy-Efficient Cloud Computing in Heterogeneous Environment. Journal of Grid and High Performance Computing (IJGHPC), 2014, 6(1): 63-76.
[1] 林伟伟，刘波，朱良昌，齐德昱. 基于CSP的能耗高效云计算资源调度模型与算法. 通信学报,2013,(12):33~41.（第四届云计算学术大会优秀论文）
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