English

王琳


博士,博士生导师,济南大学信息科学与工程学院教授,山东省泰山学者青年专家(2018年),首届山东省自然科学基金省属高校优秀青年基金获得者(2015年),山东省自然科学学术创新奖获得者(2016年), ACM济南新星奖获得者(2015年),济南市青年科技明星计划获得者(2013年)。IEEE会员,ACM会员,中国计算机学会会员。


主要研究领域:智能计算、机器学习和数据挖掘,尤其关注上述方法在科学计算领域的反向建模。


学术任职及成果:目前担任ACM计算机科学教育特别兴趣小组(SIGCSE)中国区理事,ACM济南分会秘书长,山东省人工智能学会副秘书长,中国计算机协会青年计算机论坛(CCF YOCSEF)济南学术委员, 山东省计算机学会大数据与智能计算专委会委员,国际会议SPAC程序委员会共同主席,SIGCSE China 2017 程序委员会委员。2016-2018年担任加拿大滑铁卢大学兼职副教授、研究生导师,2017年起担任韩国水原大学兼职博士生导师。 主持国家自然科学基金3项、山东省自然科学基金重点项目1项、山东省自然科学基金青年项目1项、济南市青年科技明星计划1项,获得山东省科技进步二等奖一项。 近年来在《IEEE Transactions on Evolutionary Computation》、《IEEE Transactions on Neural Networks and Learning Systems》、 《Information Sciences》、《Knowledge and Information Systems》、《中国科学》、 IEEE WCCI、IEEE SMC等国内外重要学术刊物及国际会议上发表或录用论文七十余篇,其中SCI源刊14篇,国家发明专利授权3项。

学术经历:
2011.6至今,济南大学信息科学与工程学院及山东省网络环境智能计算技术重点实验室,副教授
2016.3-2018.3,加拿大滑铁卢大学计算机学院,兼职副教授
2015.3-2016.3,加拿大滑铁卢大学计算机学院,博士后研究员
2008.9-2011.6,山东大学计算机科学与技术学院,博士


电话:0531-89736863
邮箱: e-mail   e-mail
邮编: 250022
地址: 山东省济南市南辛庄西路336号济南大学西校区,信息科学与工程学院


出版

期刊文章列表(时间倒序排列)

[23] Jifeng Guo, Lin Wang*, Kaipeng Fan, Bo Yang, An Efficient Model for Predicting Setting Time of Cement Based on Broad Learning System, Applied Soft Computing, 2020, 96:106698. [pdf]

[22] Shuangrong Liu, Lin Wang*, Bo Yang, Jin Zhou, Zhenxiang Chen, Huifen Dong, Improvement of Neural Network Classifiers using Fuzzy Floating Centroids, IEEE Transactions on Cybernetics, 2020, in press.[pdf]

[21] Shiyuan Han, Jin Zhou, Yuehui Chen, Yifan Zhang, Gongyou Tang, Lin Wang, Active Fault-Tolerant Control for Discrete Vehicle Active Suspension via Reduced-Order Observer, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, in press.[pdf]

[20] Lin Wang*, Junteng Zheng, Jeff Orchard, Evolving Generalized Modulatory Learning: Unifying Neuromodulation and Synaptic Plasticity, IEEE Transactions on Cognitive and Developmental Systems, 2019, in press.[pdf]

[19] Jifeng Guo#, Meihui Li#, Lin Wang*, Bo Yang, Liangliang Zhang, Zhenxiang Chen, Shiyuan Han, Laura Garcia-Hernandez, Ajith Abraham, Estimating Cement Compressive Strength using Three-dimensional Microstructure Images and Deep Belief Network, Engineering Applications of Artificial Intelligence, 2019, 88:103378.[pdf]

[18] Shuangrong Liu, Lin Wang*, Bo Yang, An Improved Neural Network Classifier Using Fuzzy Nearest Neighbor Partitioning Method, International Journal of Fuzzy Systems, 2019, 21:2270-2282.[pdf]

[17] Lin Wang, Jeff Orchard, Investigating the Evolution of a Neuroplasticity Network for Learning, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 49(10):2131-2143.[pdf]

[16] Lin Wang, Xuehui Zhu, Bo Yang, Jifeng Guo, Shuangrong Liu, Meihui Li, Jian Zhu, Ajith Abraham, Accelerating Nearest Neighbour Partitioning Neural Network Classifier Based on CUDA, Engineering Applications of Artificial Intelligence, 2018, 68:53-62.[pdf]

[15] Lin Wang, Bo Yang, Yuehui Chen, Xiaoqian Zhang, Jeff Orchard, Improving Neural-Network Classifiers using Nearest Neighbor Partitioning, IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(10):2255-2267.[pdf] [code]

[14] Lin Wang, Bo Yang, Ajith Abraham, Distilling Middle-Age Cement Hydration Kinetics from Observed Data using Phased Hybrid Evolution, Soft Computing, 2016, 20(9):3637-3656.[pdf]

[13] Lin Wang, Bo Yang, Jeff Orchard, Particle swarm optimization using dynamic tournament topology, Applied Soft Computing, 2016, 48:584–596.[pdf]

[12] Lin Wang, Bo Yang, Shoude Wang, Zhifeng Liang, Building Image Feature Kinetics for Cement Hydration using Gene Expression Programming with Similarity Weight Tournament Selection, IEEE Transactions on Evolutionary Computation, 2015, 19(5):679-693.[pdf]

[11] Lin Wang, Bo Yang, Yuehui Chen,Zhenxiang Chen,Hongwei Sun, Accelerating FCM Neural Network Classifier using Graphics Processing Units with CUDA, Applied Intelligence, 2014, 40(1):143-153.[pdf]

[10] Lin Wang, Bo Yang, Yuehui Chen, Improving Particle Swarm Optimization using Multi-Layer Searching Strategy, Information Sciences, 2014, 274:70-94.[pdf]

[9] Lin Wang, Bo Yang, Ajith Abraham, Lu Qi, Xiuyang Zhao, Zhenxiang Chen, Construction of Dynamic Three Dimensional Microstructure for the Hydration of Cement Using 3D Image Registration, Pattern Analysis and Applications, 2014,17(3):655-665. [pdf]

[8] Fan Yang, Lin Wang, Mechanisms classification for glycoside hydrolases by sequence and structure features using computational methods, International Journal of Data Mining and Bioinformatics, 2014, 9(4):444-457. [pdf]

[7]Tong Bai, Jian Zhu, Yong Yin, Jie Lu, Huazhong Shu, Lin Wang, Bo Yang, How does four-dimensional computed tomography spare normal tissues in non-small cell lung cancer radiotherapy by defining internal target volume? Thoracic Cancer, 2014, 5(6): 537–542. [pdf]

[6] Qingke Zhang, Bo Yang, Lin Wang, Jianzhang Jiang, An improved multi-expression programming algorithm applied in function discovery and data prediction, Int.J.Information and Communication Technology, 2013, 5(3-4):218-233. [pdf]

[5] Lin Wang, Bo Yang, Yuehui Chen, Xiuyang Zhao, Jun Chang, Haiyang Wang, Modeling early-age hydration kinetics of Portland cement using flexible neural tree, Neural Computing & Applications, 2012, 21(5):877-889. [pdf]

[4] Lin Wang, Bo Yang, Yuehui Chen, Ajith Abraham, Hongwei Sun, Zhenxiang Chen, Haiyang Wang, Improvement of neural network classifier using floating centroids, Knowledge and Information Systems, 2012, 31(3):433-454. [pdf]

[3] Lin Wang, Bo Yang, Xiuyang Zhao, Yuehui Chen, Jun Chang, Reverse extraction of early-age hydration kinetic equation from observed data of Portland cement, SCIENCE CHINA Technological Sciences, 2010, 53(6):1540-1553. [pdf]

[2] Bo Yang*, Lin Wang, Zhenxiang Chen, Yuehui Chen, Runyuan Sun, A novel classification method using the combination of FDPS and flexible neural tree, Neurocomputing, 2010, 73(4):690-699. [pdf]

[1] Lin Wang, Bo Yang, Zhenxiang Chen, Yuehui Chen, Network Traffic Classification Using Further Division of Partition Space, DCDIS Series B, 2007, 14(S2):63-68.

会议文章列表(时间倒序排列)

[58] Chunxiuzi Liu#, Fengyang Sun#, Qingrui Ni, Lin Wang*, Bo Yang, A Novel Graphic Bending Transformation on Benchmark, Proceedings of 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), 2020, in press.

[57] Jiantao Wu, Lin Wang*, ArcGrad: Angular Gradient Margin Loss for Classification, The 2020 International Joint Conference on Neural Networks (IJCNN 2020), 2020, in press.

[56] Fengyang Sun#, Chunxiuzi Liu#, Linping Wu, Lin Wang*, Shuangrong Liu, Bo Yang, A Novel Velocity Reinforced Mechanism on Improving Particle Swarm Optimization for Ill-conditioned Problems, The 2020 IEEE Congress on Evolutionary Computation (CEC 2020), 2020, in press. [pdf]

[55] Mazharul Islam#, Shuangrong Liu#, Lin Wang*, Xiaojing Zhang, Improving Neural Network Classier using Gradient-based Floating Centroid Method, 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society (ICONIP 2019), 2019, 423-431. [pdf]

[54] Aftab Anjum#, Fengyang Sun#, Lin Wang*, Jeff Orchard, A Novel Neural Network-based Symbolic Regression Method: Neuro-Encoded Expression Programming, The 28th International Conference on Artificial Neural Networks (ICANN 2019), 2019, 373-386.[pdf][code]

[53] Changwei Cai#, Shuangrong Liu#, Lin Wang*, Bo Yang*, Mengfan Zhi, Rui Wang, Weikai He, Classification of Chinese Herbal Medicine Using Combination of Broad Learning System and Convolutional Neural Network, Proceedings of 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), 2019, 3907-3912.[pdf]

[52] Aftab Anjum, Mazharul Islam, Lin Wang*, Gene Permutation: A new Probabilistic Genetic Operator for Improving Multi Expression Programming, IEEE Symposium Series on Computational Intelligence (SSCI 2019), 2019, 3139-3146. [pdf]

[51] Mazharul Islam#, Aftab Anjum#, Tanveer Ahsan, Lin Wang*, Dimensionality Reduction for Sentiment Classification using Machine Learning Classifiers, IEEE Symposium Series on Computational Intelligence (SSCI 2019), 2019, 3097-3103. [pdf]

[50] Jiawei Fan, Lin Wang*, Chen Xiao, Bo Yang, Jin Zhou, Cement Texture Synthesis Based on Feedforward Neural Network, 2019 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC 2019), 2019, 38-42. [pdf]

[49] Kaipeng Fan, Jifeng Guo, Bo Yang, Lin Wang, Lizhi Peng*, Ajith Abraham, A Prognosis Method for Esophageal Squamous Cell Carcinoma based on CT Image and Three-dimensional Convolutional Neural Networks, 19th International Conference on Intelligent Systems Design and Applications (ISDA 2019), 2019, in press.

[48] Guangyue Gao, Fuyuan Chen, Xiuyang Zhao, Bo Yang*, Lin Wang, Jifeng Guo, Surface Reconstruction of Cement Microstructure Based on Moving Least Squares, 2nd International Conference on Big Data Technologies (ICBDT 2019), 2019, 257-261.[pdf]

[47] Rui Wang, Jinfeng Zhao, Lizhi Peng, Bo Yang*, Lin Wang, Baosheng Li, Medical Entity Recognition of Esophageal Carcinoma Based on Word Clustering, Proceedings of 2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC 2018), 2018, 348-353. [pdf]

[46] Tianhao Li, Fengyang Sun, Runyuan Sun*, Lin Wang*, Meihui Li, Huawei Yang, Chinese Herbal Medicine Classification Using Convolutional Neural Network with Multiscale Images and Data Augmentation, Proceedings of 2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC 2018), 2018, 109-113. [pdf]

[45] Shuangrong Liu, Lin Wang*, Bo Yang*, Shuo Kong, Huifen Dong, Xuehui Zhu, Fuzzy Nearest Neighbor Partitioning Neural Network for Classification, Proceedings of 2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC 2018), 2018, 237-241, Best Student Paper. [pdf]

[44] Xuehui Zhu, He Zhang, Lin Wang*, Bo Yang, Jin Zhou, Zhenxiang Chen, Ajith Abraham, Improving Nearest Neighbor Partitioning Neural Network Classifier Using Multi-layer Particle Swarm Optimization, Proceedings of the 18 International Conference on Hybrid Intelligent Systems (HIS 2018), 2018, 360-369.[pdf]

[43] Chunxiuzi Liu, Fengyang Sun, Qingbei Guo*, Lin Wang*, Bo Yang, A Novel Multi-population Particle Swarm Optimization with Learning Patterns Evolved by Genetic Algorithm, Proceedings of 2018 International Conference on Intelligent Computing (ICIC 2018), 2018, 70-80.[pdf]

[42] Yonghao Dang, Lin Wang*, Jianqin Yin*, Xuehui Zhu, Zhiquan Feng, Jifeng Guo, Estimating Cement Compressive Strength from Microstructure Images Using Broad Learning System, Proceedings of 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), 2018, 4230-4235.[pdf]

[41] Liangliang Zhang,Xinya Yue, Lin Wang*, Bo Yang*, Estimating Cement Compressive Strength from Microstructural Images using GEP with Probabilistic Polarized Similarity Weight Tournament Selection, Proceedings of the 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), 2018, 1403-1410.[pdf]

[40] Changwei Cai, Shuangrong Liu, Lin Wang*, Bo Yang*, Zhenxiang Chen, Jin Zhou, Optimizing Floating Centroids Method Neural Network Classifier Using Dynamic Multilayer Particle Swarm Optimization, Proceedings of the 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), 2018, 394-401.[pdf]

[39] Xuehui Zhu, Lin Wang*, Bo Yang*, Jin Zhou, Shiyuan Han, Yu Liu, Jifeng Guo, Shuangrong Liu,Classification of Concrete Strength Grade using Nearest Neighbor Partitioning, Proceedings of the 15th International Symposium on Neural Networks (ISNN 2018), 2018, 279-288.[pdf]

[38] Guangyue Gao, Lin Wang*, Bo Yang*, Liangliang Zhang, Fengyang Sun, Ajith Abraham, Shuangrong Liu, Edge Detection for Cement Images Based on Interactive Genetic Algorithm, Proceedings of the 17th International Conference on Hybrid Intelligent Systems (HIS 2017), 2017, 41-50.[pdf]

[37] Mengfan Zhi, Ziqiang Yu*, Bo Yang*, Lin Wang, Liangliang Zhang, Jifeng Guo, Xuehui Zhu, Reverse Extraction of Early-Age Hydration Kinetic Equation of Portland Cement Using Gene Expression Programming with Similarity Weight Tournament Selection, Proceedings of the 8th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2017), 2017, 133-142.[pdf]

[36] Liangliang Zhang, Lin Wang*, Bo Yang*, Zhenxiang Chen, Jin Zhou, Yamin Han, Meihui Li, Three Dimensional Segmentation for Cement Microtomography Images using Self-Organizing Map and Neighborhood Features, Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017), 2017, 2982-2989. [pdf]

[35] Meihui Li, Lin Wang*, Bo Yang*, Liangliang Zhang, Yu Liu, Estimating Cement Compressive Strength from Microstructure Images using Convolutional Neural Network, Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017), 2017, 1212-1218. [pdf]

[34] Fengyang Sun, Lin Wang*, Bo Yang, Jin Zhou, Zhenxiang Chen, A Novel Method for Generating Benchmark Functions Using Recurrent Neural Network, Proceedings of 2017 International Conference on Intelligent Computing (ICIC2017), 2017, 768-773. [pdf]

[33] Fengyang Sun, Lin Wang*, Bo Yang, Zhenxiang Chen, Jin Zhou, Kun Tang, Jinyan Wu, Improving Multi-layer Particle Swarm Optimization Using Powell Method, Proceedings of the 2017 International Conference on Swarm Intelligence (ICSI 2017), 2017, 166-173.[pdf]

[32] Qingbei Guo, Kun Zhang, Tao Du, Shouning Qu, Lin Wang*, A deep analysis of finite localization using iterative sweeps in sparse WSNs, Proceedings of the 2017 International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS 2017), 2017, 295-299.[pdf]

[31] Lin Wang, Bo Yang, Zhenxiang Chen, Improving Particle Swarm Optimization Using Co-Optimization of Particles and Acceleration Constants, Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016, 578-587.[pdf]

[30] Jeff Orchard, Lin Wang, The Evolution of a Generalized Neural Learning Rule, Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN 2016), 2016, 4688-4694.[pdf]

[29] Lin Wang, Bo Yang, Jeff Orchard, Discovering Grid-Cell Models Through Evolutionary Computation, Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC 2016), 2016, 4683-4690.[pdf]

[28] Lin Wang, Jeff Orchard, Bo Yang, Ajith Abraham, Improving Gene Expression Programming using Diversity Preservation Tournament and Its Application in Grid Cell Modeling, Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), 2016, 000424-000429.[pdf]

[27] Shi-Yuan Han, Yue-Hui Chen, Lin Wang*, Ajith Abraham, Xiao-Fang Zhong, Sliding Mode Control for State Delayed Systems subject to Persistent Disturbance, Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), 2016, 000871-000874. [pdf]

[26] Shi-Yuan Han, Xiao-Yu Wan, Lin Wang*, Jin Zhou and Xiao-Fang Zhong, Comparison between genetic algorithm and differential evolution algorithm applied to one dimensional bin-packing problem, Proceedings of the 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2016), 2016, 52-55.[pdf]

[25] Jinyan Wu, Bo Yang, Lin Wang, Kun Ma, Xiuyang Zhao and Jin Zhou, MRF Parameter Estimation Based on Weighted Least Squares Fit Method, Proceedings of the 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2016), 2016, 164-169.[pdf]

[24] Meihui Li, Bo Yang, Lin Wang, Yu Liu, Xiuyang Zhao, Jin Zhou and Liangliang Zhang, The Prediction of Cement Compressive Strength Based on Gray Level Images and Neural Network, Proceedings of the 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2016), 2016, 103-108.[pdf]

[23] Liangliang Zhang, Bo Yang, Lin Wang, Xiuyang Zhao, Jin Zhou, Meihui Li and Yamin Han, Three-dimensional Cement Image Registration Based on Multi-layer PSO and Mutual Information, Proceedings of the 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2016), 2016, 62-67.[pdf]

[22] Kun Zhang, Qingbei Guo, Lin Wang*, Shouning Qu, Parallel Rational World based Privacy Preservation Mechanism for Group Privacy, Proceedings of the 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2016), 2016, 72-75.[pdf]

[21] Shuangrong Liu, Bo Yang, Lin Wang*, Xiuyang Zhao, Jin Zhou, Jifeng Guo, Prediction of Share Price Trend Using FCM Neural Network Classifier, Proceedings of the 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2016), 2016, 81-86.[pdf]

[20] Jifeng Guo, Na Zhang, Lin Wang*, Bo Yang, Xiuyang Zhao, Jin Zhou and Shuangrong Liu, A Fast Texture Synthesis using Gene Expression Programming, Proceedings of the 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2016), 2016, 119-124.[pdf]

[19] Jin Zhou, Yuqi Pan, Lin Wang, C. L. Philip Chen, Random Feature based Multiple Kernel Clustering, Proceedings of the 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2016), 2016, 7-10.[pdf]

[18] Kun Tang, Bo Yang, Lin Wang, Xiuyang Zhao,Yueqi Wang, Haixiao Zhang, Three-dimensional cement microstructure texture synthesis based on CUDA, Proceedings of the 12th International Conference on Intelligent Computing (ICIC 2016), 2016, Part II, LNCS 9772: 624-634. [pdf]

[17] Shanshan Liu, Bo Yang , Lin Wang, Ajith Abraham, Automatic Discovery and Recommendation for Telecommunication Package Using Particle Swarm Optimization, Proceedings of the 7th World Congress on Nature and Biologically Inspired Computing (NaBIC 2015), 2015, 97-104.[pdf]

[16] Lin Wang, Bo Yang, Yi Li, Na Zhang, A Novel Improvement of Particle Swarm Optimization using Dual Factors Strategy, Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC 2014), 2014,183-189.[pdf]

[15] Zhi-feng Liang, Bo Yang, Lin Wang, Xiaoqian Zhang, Lei Zhang, Nana He, Evolving Flexible Neural Tree Model for Portland Cement Hydration Process, Proceedings of the 5th International Conference on Swarm Intelligence (ICSI 2014), 2014, 302-309.[pdf]

[14] Zhifeng Liang, Bo Yang, Lin Wang, Xiaoqiang Zhang, Nana He, Ajith Abraham, Extracting Three-Dimensional Cellular Automaton for Cement Microstructure Development using Gene Expression Programming, Proceedings of the 6th World Congress on Nature and Biologically Inspired Computing (NaBIC 2014), 2014, 41-46. [pdf]

[13] Xiaoqian Zhang, Bo Yang, Lin Wang, Zhifeng Liang and Ajith Abraham, Improvement of FCM Neural Network Classifier using K-Medoids Clustering, Proceedings of the 6th World Congress on Nature and Biologically Inspired Computing (NaBIC 2014), 2014,47-52.[pdf]

[12] Bo Yang, Qingke Zhang, Lin Wang, Yi Li, Inference of Differential Equations by M-MEP for Cement Hydration Modeling, Proceedings of the 2013 IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013), 2013, 4-10.[pdf]

[11] Lin Wang, Bo Yang, Ajith Abraham, Prediction of Concrete Strength using Floating Centroids Method, Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013), 2013,988-992. [pdf]

[10] Lin Wang, Bo Yang, Na Zhang, Constructing surrogate model for optimum concrete mixtures using neural network, Proceedings of the 10th International Symposium on Neural Networks (ISNN 2013), 2013, 506-513.[pdf]

[9] Shi-Yuan Han, Yue-Hui Chen, Lin Wang, Ajith Abraham, Decentralized Longitudinal Tracking Control for Cooperative Adaptive Cruise Control Systems in a Platoon, Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013), 2013, 2013-2018.[pdf]

[8] Lin Wang, Bo Yang, Yuehui Chen, Xiuyang Zhao , Predict the Hydration of Portland Cement using Differential Evolution, Proceedings of the 2012 IEEE Congress on Evolutionary Computation (CEC 2012), 2012, 3388-3392.[pdf]

[7] Qingke Zhang, Bo Yang, Lin Wang, Fuxiang Zhu, Predicting Cement Compressive Strength Using Double-layer Multi-Expression Programming, Proceedings of the Fourth International Conference on Computational and Information Sciences (ICCIS 2012), 2012, 1:94-97.[pdf]

[6] Lei Zhang, Lin Wang, Xujiewen Wang, Keke Liu and Ajith Abraham, Research of Neural Network Classifier Based on FCM and PSO for Breast Cancer Classification, Proceedings of the 7th Hybrid Artificial Intelligent Systems (HAIS 2012) , 2012, LNCS 7208: 647-654. [pdf]

[5] Fan Yang, Lin Wang,Research on Classification Methods of Glycoside Hydrolases Mechanism, Proceedings of the 2011 International Conference on Neural Information Processing (ICONIP 2011), 2011, LNCS 7062: 617–624. [pdf]

[4] Lin Wang, Bo Yang, Yuehui Chen, Xiuyang Zhao, Jun Chang, Haiyang Wang, Neural Network Modeling on Evolution of Hydration Reaction for Portland Cement, Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2010), 2010, 1:664-668. [pdf]

[3] Bo Yang, Lin Wang, Zhenxiang Chen, Yuehui Chen, A Novel Classification Method using the Combination of Further Division of Partition Space and Flexible Neural Tree, Proceedings 2007 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2007), 2010, 73(4-6):690-699.[pdf]

[2] Xiao Xie, Bo Yang, Yuehui Chen, Lin Wang, Zhenxiang Chen, Network traffic classification based on error-correcting output codes and NN ensemble, 2009 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2009), 2009,3:475-479.[pdf]

[1] Lin Wang, Bo Yang, Zhenxiang Chen, Ajith Abraham, Lizhi Peng, A Novel Improvement of Neural Network Classification Using Further Division of Partition Space, 2007 2nd International Work-Conference on the Interplay Between Natural and Artificial Computation(IWINAC 2007), 2007, 214-223.[pdf]

中文文章列表(时间倒序排列)

[9] 于自强, 禹晓辉, 董吉文, 王琳*, 分布式多数据流频繁伴随模式挖掘, 软件学报, 2019, 30(4):1078-1093. [pdf]

[8] 张晓倩,杨波,王琳,梁志锋,使用DBSCAN聚类的FCM神经网络分类器,模式识别与人工智能,2016,29(2):185-192. [pdf]

[7] 杨波,王琳,赵秀阳,张庆科,CUDA计算架构在水泥水化过程建模中的应用,临沂大学学报,2013, 35(3):74-78.[pdf]

[6] 张庆科,杨波,王琳,朱福祥,基于GPU的现代并行优化算法,计算机科学,2012,39(4):304-311. [pdf]

[5] 粱志锋,杨波,王琳,一种网络环境下基于CUDA架构的水泥图像特征提取系统设计,2012全国高性能计算学术年会, 2012,479-482.[pdf]

[4] 张庆科,杨波,王琳,陈贞翔, 基于异构模式的云计算关键技术研究,山东科学,2011,24(5):56-61. [pdf]

[3] 王琳,杨波,赵秀阳,陈月辉,常钧,由硅酸盐水泥的观测数据反向萃取水化早期动力学方程,中国科学E辑:技术科学, 2010,40(5):582-595.[pdf]

[2] 齐鲁,杨波,王琳,利用粒子群算法实现水泥μCT图像灰度校准,山东大学学报(理学版),2010,45(11):16-21.[pdf]

[1] 王琳,杨波,高斌, 利用GATE服务器实现外网与校园网的连通,信息技术与信息化,2006,第5期:48-49. [pdf]

 

项目

[13] 国家自然科学基金面上项目,面向宏观性能演化机理的水泥水化动力学反向建模研究,61872419,2019.1-2022.12,主持

[12] 山东省重点研发计划,面向真实结构与过程的水泥水化智能建模关键技术研究,2019GGX101041,2019.1-2020.12,主持

[11] 国家自然科学基金面上项目,真实图像引导的水泥水化微结构三维演化反向智能建模与性能评估,61573166,2016.1-2019.12,主持

[10] 国家自然科学基金青年项目,基于马氏随机场与实体纹理合成的水泥水化过程反向建模,61203105,2013.1-2015.12,主持

[9] 国家863计划重大项目子课题,神威蓝光高性能计算机系统,2012.1-2012.12,第二位

[8] 国家自然科学基金面上项目,基于物相信息重建的水泥水化反向建模及辅助设计,62072213,2021.1-2024.12,第二位

[7] 国家自然科学基金面上项目,基于移动最小二乘曲面的水泥水化微结构演化三维反向建模,61572230,2016.1-2019.12,第二位

[6] 国家自然科学基金面上项目,基于智能计算的水泥水化过程微结构反向建模及性能预测,61173078,2012.1-2015.12,第二位

[5] 山东省自然科学基金省属高校优青(重点项目),基于脉冲神经网络与反向建模的水泥水化微结构演化仿真,ZR2015JL025,2015.7-2016.12,主持

[4] 山东省自然科学基金青年项目,基于三维微观结构底层特征的水泥水化动力学反向建模,ZR2012FQ016,2012.7-2015.7,主持

[3] 济南市青年科技明星计划,基于反向建模与智能计算的电信套餐预演系统关键技术研究,2013012,2013.7-2015.7,主持

[2] 济南大学博士启动基金,基于GPGPU与智能计算的水泥水化过程微观结构反向建模,XBS1215,2012.1-2014.12,主持

[1] 深圳港创建材股份有限公司-济南大学联合研究项目,仿真模拟预判砼强度技术,2016.7-2018.7,主持

 

奖励

[4] 山东省自然科学学术创新奖,山东省科学技术协会,2016.

[3] 济南计算机科学技术一等奖,济南市计算机协会,2016.

[2] ACM济南新星奖,ACM中国委员会,2015.

[1] 山东省科技进步奖二等奖,山东省政府,2008.

 

知识产权

[10] 王琳,李美慧,蔡昌伟,混凝土强度预测系统,软件著作权,2018SR469913,2018.6.21.

[9] 王琳,杨波,基于GPU与邻近海量数据快速分析的套餐优化系统与方法,发明专利,ZL201410046395.9,2017.5.17.

[8] 王琳,杨波,基于邻近海量数据快速分析的电信套餐优化系统与方法,发明专利,ZL201410046626.6,2017.4.5.

[7] 王琳,杨波,基于微观图象特征的水泥水化仿真及宏观属性预测的方法,发明专利,201310291886.5,2015.10.28.

[6] 王琳,细胞自动机演示软件,软件著作权,2014SR045500,2014.4.18.

[5] 王琳,时间序列预测系统,软件著作权,2014SR045514,2014.4.18.

[4] 王琳,基于WEB的科学计算可视化系统,软件著作权,2014SR045507,2014.4.18.

[3] 王琳,基于JAVA的水泥三维图象特征提取系统,软件著作权,2014SR045475,2014.4.18.

[2] 王琳,基于CUDA的神经网络分类器软件,软件著作权,2014SR045479,2014.4.18.

[1] 王琳,高校科研团队成果管理系统,软件著作权,2014SR045516,2014.4.18.

 

课题组

后排左起依次为:王琳,高广月,吴旭,Aftab,Mazharul,孙风阳,张小静,刘双荣,郑钧腾,支梦凡

前排左起依次为:陈福元,王芮,郭继凤,范嘉薇,刘春秀子,朱雪慧,范开鹏

老照片
 

在读

吴金岩,博士研究生 2017.9至今


课题: 无线网络能量优化

韩亚敏,博士研究生 2017.9至今


课题:医疗数据分析及建模

张亮亮,博士研究生 2019.3至今


课题:水泥水化反向建模

刘双荣,博士研究生 2020.9至今


课题:神经网络分类器

Mazharul Islam,博士研究生 2020.9至今


课题:水泥水化建模

刘春秀子,硕士研究生 2018.9至今


课题:进化优化算法

郑钧腾,硕士研究生 2018.9至今 (联合培养导师:Jeff Orchard教授


课题:进化神经网络

范嘉薇,硕士研究生 2018.9至今


课题:进化神经网络

张小静,硕士研究生 2018.9至今


课题:神经网络分类器

吴旭,硕士研究生 2018.9至今


课题:水泥配方优化

陈福元,硕士研究生 2018.9至今


课题:并行计算智能

陆敏芳,硕士研究生 2019.9至今


课题:神经网络分类器

吴建涛,硕士研究生 2019.9至今


课题:神经网络分类器

马军,硕士研究生 2019.9至今


课题:神经编码表达式编程

陈兵,硕士研究生 2019.9至今


课题:进化神经网络

赵欣,硕士研究生 2019.9至今


课题:水泥微结构纹理合成

吴颖,硕士研究生 2019.9至今


课题:基于深度学习的文本处理

Rizwan Ali,硕士研究生 2019.9至今


课题:

Faisal Alam,硕士研究生 2019.9至今


课题:

高基锁,硕士研究生 2020.9至今


课题:

李凡奇,硕士研究生 2020.9至今


课题:

宁帅,硕士研究生 2020.9至今


课题:

朱攀,硕士研究生 2020.9至今


课题:

袁健峰,硕士研究生 2020.9至今


课题:

刘明,硕士研究生 2020.9至今


课题:

已毕业

孙风阳,硕士 2017.9-2020.7(联合培养导师:Jeff Orchard教授


论文:面向多样性增强的测试问题构造及进化算法研究


毕业去向:攻读博士学位

王芮,硕士 2017.9-2020.7


论文:电子病历信息提取及其在肿瘤分期预测上的应用


毕业去向:攻读博士学位

Mazharul Islam,硕士 2017.9-2020.7


论文:Research on Improving Neural Network Classifier using Gradient-based Floating Centroid Method


毕业去向:攻读博士学位

Aftab Anjum,硕士 2017.9-2020.7


论文:Research on Genetic Programming with Neuro-Linear Representation


毕业去向:攻读博士学位

支梦凡,硕士 2017.9-2020.7


论文:GPU环境下水泥水化动力学方程快速发现


毕业去向:山东省口腔医院

高广月,硕士 2017.9-2020.7


论文:基于移动最小二乘曲面的水泥微元建模研究


毕业去向:济南热力集团有限公司

范开鹏,硕士 2018.9-2020.7


论文:面向食管鳞癌放疗的多模态图像转化及疗效预测


毕业去向:智洋创新科技股份有限公司

刘双荣,硕士 2016.9-2019.7


论文:基于柔性边界的神经网络分类器研究及应用


毕业去向:攻读博士学位(海外留学)

郭继凤,硕士 2016.9-2019.7


论文:基于深度学习的细胞自动机水泥微结构演化建模及性能分析


毕业去向:攻读博士学位

朱雪慧,硕士 2016.9-2019.7


论文:闭曲面最近邻分区神经网络分类器的研究与应用


毕业去向:山东建邦集团

张亮亮,硕士 2015.9-2018.7


论文:水泥水化四维微观结构图像校正及物相分析


毕业去向:攻读博士学位(海外留学)

李美慧,硕士 2015.9-2018.7


论文:GPU环境下基于图像特征的水泥基材料强度估测


毕业去向:山东省口腔医院

吴金岩,硕士 2014.9-2017.7


论文: 基于马尔可夫随机场的水泥水化建模及性能预测


毕业去向:攻读博士学位(海外留学)

唐坤,硕士 2014.9-2017.7


论文:基于GPU平台的水泥水化微结构实体纹理合成


毕业去向:国家计算机网络应急技术处理协调中心山东分中心

刘姗姗,硕士 2013.9-2016.7


论文:基于智能计算的电信资费套餐发现及推荐技术研究


毕业去向:北京红云融通技术有限公司

解振燕,硕士 2013.9-2016.7


课题:基于马尔可夫随机场的水泥微观图象合成


毕业去向:创业

梁志锋,硕士 2012.9-2015.7


论文:基于反向建模的细胞自动机水泥水化仿真方法研究


毕业去向:中国联通研究院

张晓倩,硕士 2012.9-2015.7


论文:面向水泥及其基材料分类的神经网络方法与改进研究


毕业去向:中国联通研究院

张庆科,硕士 2010.9-2013.7


论文:基于多层多基因表达式编程的水泥水化建模及性能预测


毕业去向:攻读博士学位

齐鲁,硕士 2008.9-2011.7


论文:基于GPU的水泥图像三维配准方法及实现技术研究


毕业去向:阿里云