English

王琳

,博士,博士生导师,山东省泛在智能计算重点实验室(筹)常务副主任,济南大学信息科学与工程学院教授


获山东省自然科学杰出青年基金、第二届山东省泰山学者青年专家、山东省优秀研究生指导教师、首届山东省自然科学基金省属高校优秀青年基金、山东省自然科学学术创新奖、 ACM济南新星奖、 济南市科研带头人工作室、济南市青年科技明星计划。现为IEEE会员、ACM会员、中国计算机学会会员、中国自动化学会会员。


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计算机科学教育分会 (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,中国自动化学会青年工作委员会委员, 中国计算机学会人工智能与模式识别专委会委员,山东省人工智能学会常务理事,山东省人工智能学会高等教育专委会委员。担任国际会议 IEEE SPAC 程序委员会共同主席,ACM SIGCSE China、AAAI、ICONIP 等重要国际会议程序委员会委员。 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、山东省重点研发计划 1 项、山东省重大基础研究项目参与单位负责人 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、济南市科研带头人工作室 1 项,获得山东省科学技术奖二等奖 1 项、山东省人工智能自然科学一等奖 1 项。 近年来在《IEEE Transactions on Evolutionary Computation》、《IEEE Transactions on Neural Networks and Learning Systems》、 《IEEE Transactions on Systems, Man, and Cybernetics: Systems》、 《IEEE Transactions on Cybernetics》、 《IEEE Transactions on Cognitive and Developmental Systems》、《中国科学》、 AAAI、IJCAI、GECCO 等国内外重要学术刊物及国际会议上发表或录用论文 110 篇, 国家发明专利授权 7 项。

学术经历:
2024.7 至今,山东省泛在智能计算重点实验室(筹),常务副主任
2011.6 至今,济南大学信息科学与工程学院,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、会议文章、中文文章各自列表)

期刊文章列表(时间倒序排列)

[41] Shuangrong Liu, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang, Kisung Seo, Fuzzy Adaptive Knowledge-Based Inference Neural Networks: Design and Analysis, IEEE Transactions on Cybernetics, 2024, 54(9):4875-4888.[pdf]

[40] Shuangrong Liu, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang*, Zhen Peng, SCINN: Semantic Concept-Based Inference Neural Networks With Explainable and Deep Fuzzy Structure, IEEE Transactions on Fuzzy Systems, 2024,37(7):4133-4147.[pdf]

[39] Xiaojing Zhang, Shuangrong Liu, Lin Wang*, Bo Yang, Jiawei Fan, Learning Neural Network Classifiers by Distributing Nearest Neighbors on Adaptive Hypersphere, IEEE Transactions on Artificial Intelligence, 2024 In Press.

[38] Na Zhang, Ming Liu, Lin Wang, Shuangrong Liu, Runyuan Sun, Bo Yang, Shenghui Zhu, Chengdong Li, Cheng Yang, Yuhu Cheng, A Novel Grades Prediction Method for Undergraduate Students by Learning Explicit Conditional Distribution, IEEE Transactions on Artificial Intelligence, 2024, 5(9):4837-4848.[pdf]

[37] Shuangrong Liu, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang*, Jin Hee Yoon, Reinforced Interval Type-2 Fuzzy Clustering-based Neural Network Realized Through Attention-based Clustering Mechanism and Successive Learning, IEEE Transactions on Fuzzy Systems, 2024, 32(3):1208-1222.[pdf]

[36] Jifeng Guo, C. L. Philip Chen, Lin Wang*, Bo Yang, Tong Zhang, Liangliang Zhang, Constructing Microstructural Evolution System for Cement Hydration from Observed Data using Deep Learning, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(7):4576-4589.[pdf]

[35] Jun Ma#, Jiawei Fan#, Lin Wang*, C. L. Philip Chen, Bo Yang*, Fengyang Sun, Jin Zhou, Xiaojing Zhang, Fenghui Gao, Na Zhang, Factorization of Broad Expansion for Broad Learning System, Information Sciences, 2023, 630:271-285.[pdf]

[34] 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, 2022, 52(3):1392-1404.[pdf]

[33] Jiantao Wu, Lin Wang*, Bo Yang, Fanqi Li, Chunxiuzi Liu, Jin Zhou, DEFT: Distilling Entangled Factors by Preventing Information Diffusion, Machine Learning, 2022, 111:2275–2295.[pdf]

[32] Liangliang Zhang, Lin Wang*, Bo Yang*, Sijie Niu, Yamin Han, Sung-Kwun Oh, Rapid Construction of 4D High-Quality Microstructural Image for Cement Hydration Using Partial Information Registration, Pattern Recognition, 2022, 124:108471.[pdf]

[31] Rongrong Wang, Shiyuan Han, Jin Zhou, Yuehui Chen, Lin Wang, Tao Du, Ke Ji, Ya-ou Zhao, Kun Zhang, Transfer-Learning-Based Gaussian Mixture Model for Distributed Clustering, IEEE Transactions on Cybernetics, 2022, In Press. [pdf]

[30] Rui Wang,Muwei Jian, Hui Yu, Lin Wang, Bo Yang, Face Hallucination using Multisource References and Cross-Scale Dual Residual Fusion Mechanism, International Journal of Intelligent Systems, 2022, 37:9982-10000. [pdf]

[29] Cheng Yang, Sung-Kwun Oh, Bo Yang, Witold Pedrycz, Lin Wang, Hybrid Fuzzy Multiple SVM Classifier through Feature Fusion Based on CNNs and Its Practical Applications, Expert Systems with Applications, 2022, 202(15):117392. [pdf]

[28] Bozhan Dang, Yingxu Wang, Jin Zhou, Rongrong Wang, Long Chen, C. L. Philip Chen, Tong Zhang, Shiyuan Han, Lin Wang, Yuehui Chen, Transfer Collaborative Fuzzy Clustering in Distributed Peer-to-Peer Networks, IEEE Transactions on Fuzzy Systems, 2022, 30(2):500-514.[pdf]

[27] Liangliang Zhang, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang, A Promotive Particle Swarm Optimizer with Double Hierarchical Structures, IEEE Transactions on Cybernetics, 2022, 52(12):13308-13322.[pdf]

[26] Fengyang Sun, Lin Wang*, Bo Yang, A Neuro-diversified Benchmark Generator for Black Box Optimization, Information Sciences, 2021, 573:475-492.[pdf]

[25] Fengyang Sun, Shuo Kong, Xiaojing Zhang,Lin Wang*, Bo Yang*, Shuangrong Liu, Qidong Wang, Nearest Vertex Attraction for Actively Reducing Loss, Cognitive Systems Research, 2021, 70:18-28.[pdf]

[24] Jifeng Guo, Zhulin Liu, C. L. Philip Chen, Tong Zhang, Lin Wang, Kaipeng Fan, An Efficient Inspection System Based on Broad Learning: Nondestructively Estimating Cement Compressive Strength with Internal Factors, IEEE Transactions on Industrial Informatics, 2021, 18(6):3787-3798.[pdf]

[23] 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, 2021, 51(11):6701-6711.[pdf]

[22] 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]

[21] Lin Wang*, Junteng Zheng, Jeff Orchard, Evolving Generalized Modulatory Learning: Unifying Neuromodulation and Synaptic Plasticity, IEEE Transactions on Cognitive and Developmental Systems, 2020, 12(4):797-808.[pdf]

[20] 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]

[19] 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]

[18] 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]

[17] 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]

[16] Zhenxiang Chen, Qiben Yan, Hongbo Han, Shanshan Wang, Lizhi Peng, Lin Wang, Bo Yang, Machine learning based mobile malware detection using highly imbalanced network traffic, Information Sciences, 2018, 433:346-364. [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)

[77] Bo Zhang, Lin Wang*, Bo Yang, Improving OPT-GAN by Smooth Scale Mapping and Adaptive Exploration, 2024 International Joint Conference on Neural Networks (IJCNN 2024), 2024.

[76] Chen Liu, Chaoran Pang, Lin Wang*, Bo Yang, DICO-NEEP: NEEP with Distance Information and Constant Optimization, 2024 International Joint Conference on Neural Networks (IJCNN 2024), 2024.

[75] Ruiqi Han, Liangliang Zhang, Pan Zhang, Lin Wang*, Bo Yang, Yuhang Xie, An Advanced Deep Learning-based High-Resolution μCT Images Construction Method For Cement Hydration Microstructure, International Conference on Intelligent Computing (ICIC 2024), 2024.

[74] Xin Zhao, Jifeng Guo, Lin Wang*, Fanqi Li, Jiahao Li, Junteng Zheng, Bo Yang, STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?, Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'23), 2023.[pdf]

[73] Minfang Lu#, Shuai Ning#, Shuangrong Liu, Fengyang Sun, Bo Zhang, Bo Yang, Lin Wang*, OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning Distribution, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'23), 2023.[pdf]

[72] Fanqi Li, Lin Wang*, Bo Yang, Pengwei Guan, Incorporating Least-Effort Loss to Stabilize Training of Wasserstein GAN, 2023 International Joint Conference on Neural Networks (IJCNN 2023), 2023.[pdf]

[71] Jiantao Wu, Shentong Mo, Xiang Yang, Muhammad Awais, Sara Atito, Xingshen Zhang, Lin Wang, Xiang Yang, Variantional autoencoder with decremental information bottleneck for disentanglement, 34th British Machine Vision Conference 2023 (BMVC 2023), 2023.

[70] Bo Zhang, Lin Wang*, Bo Yang, Shrinking Mechanism as an Alternative to Cumulative Step-size Adaptation for Evolution Strategy, International Conference on Networks, Communications and Intelligent Computing, 2023.

[69] RuiQi Han, Lin Wang*, Bo Yang, Pan Zhang, Yang Wang, Xin Zhao, Xu Wu, Shuai Ning, PengWei Guan, Enhancements to a Deep Learning-based Cellular Automaton for Cement Microstructure Evolution Modeling, Proceedings of IEEE International Conference on New Trends in Computational Intelligence (NTCI 2023), 2023.

[68] Zezheng Xing, Pengwei Guan, Lin Wang*, Bo Yang, Xu Wu, Shuai Ning, Xin Zhao, Estimation of Concrete Compressive Strength: A Neural Ordinary Differential Equation Approach, Proceedings of IEEE International Conference on New Trends in Computational Intelligence (NTCI 2023), 2023.

[67] Chen Liu,Xu Wu, Lin Wang*, Bo Yang, Xin Zhao, Shuai Ning, Pengwei Guan, Utilizing the NEEP Model to Predict the Compressive Strength of Cement, Proceedings of IEEE International Conference on New Trends in Computational Intelligence (NTCI 2023), 2023.

[66] Bing Chen#, Mazharul Islam#, Jisuo Gao, Lin Wang*, Deconvolutional Density Network: Modeling Free-Form Conditional Distributions, Proceedings of the AAAI Conference on Artificial Intelligence(AAAI'22), 2022, 36(6):6183-6192. [pdf]

[65] Jianfeng Yuan, Na Zhang, Bo Yang, Xin Zhao, Xu Wu, Lin Wang, 2D Texture Image Synthesis of Cement, The 2022 International Conference on Information, Cybernetics, and Computational Social Systems, 2022.

[64] Jiantao Wu, Shentong Mo, Lin Wang*, An Empirical Study of Uncertainty Gap for Disentangling Factors, Proceedings of the 1st International Workshop on Trustworthy AI for Multimedia Computing (ACM MM 2021), 2021, 1-8.[pdf]

[63] Jun Ma, Fenghui Gao, Shuangrong Liu, Lin Wang*, Linear-dependent Multi-interpretation Neuro-Encoded Expression Programming, Genetic and Evolutionary Computation Conference (GECCO 2021), 2021, 257-258.[pdf]

[62] Xiaojing Zhang, Lin Wang*, Bo Yang*, Learning Effective Discriminative Features with Differentiable Magnet Loss, International Joint Conference on Neural Networks (IJCNN 2021), 2021, 1-8.[pdf]

[61] 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, 1538-1543.[pdf]

[60] Jiantao Wu, Lin Wang*, ArcGrad: Angular Gradient Margin Loss for Classification, The 2020 International Joint Conference on Neural Networks (IJCNN 2020), 2020, 1-8.[pdf]

[59] 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, 1-8.[pdf]

[58] Xiaojing Zhang, Jiawei Fan, Lin Wang*, Bo Yang*, Investigating Data Distribution for Classification Using PSO With Adversarial Network, 20th International Conference on Intelligent Systems Design and Applications (ISDA 2020), 2020, 283-291.[pdf]

[57] Xu Wu, Xin Zhao, Lin Wang*, Bo Yang*, Mazharul Islam, Xiaohan Ding, Xiaojing Zhang, Estimation of Water-cement Ratio of Hardened Cement Paste Based on Microstructure Image and Convolutional Neural Network, Information, Cybernetics, and Computational Social Systems (ICCSS 2020), 2020, 348-352.[pdf]

[56] Fuyuan Chen, Guangyue Gao, Lin Wang*, Bo Yang*, Jifeng Guo, Xu Wu, Geometric reconstruction of Cement Microstructure Image Based on Edge Response Scattering Points Extraction and MLS, Information, Cybernetics, and Computational Social Systems (ICCSS 2020), 2020, 451-456.[pdf]

[55] Mazharul Islam#, Shuangrong Liu#, Xiaojing Zhang , Lin Wang*, 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, 622-631.[pdf]

[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] 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]

[46] 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]

[45] 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]

[44] 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]

[43] 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]

[42] 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]

[41] 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]

[40] 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]

[39] 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]

[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] 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]

[36] 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]

[35] 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]

[34] 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]

[33] 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]

[32] 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]

[31] 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]

[20] 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]

[29] 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]

[28] 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]

[27] 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]

[26] 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]

[25] 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]

[24] 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]

[23] 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]

[22] 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]

[21] 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]

[20] 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]

[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)

[10] 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]

[9] 王琳,杨波,陈贞翔,乔善平,游戏化教学方法在网络编程类课程教学中的应用,计算机教育,2016,9:61-63,[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

[21] 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

[20] 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

[19] 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

[18] 全国建材行业重大科技攻关“揭榜挂帅”项目课题,熟料、水泥物理性能预测智能建模研究,2023JBGS11-03,2023.11-2026.10,主持

[17] 山东省自然科学基金联合基金项目,面向微控制器的人工智能算法高效部署技术研究,ZR2023LZH015,2024.1-2026.12,参与单位负责人

[16] 山东省自然科学基金重大基础研究项目,面向人工智能安全的类脑计算关键方法及应用研究,ZR2022ZD01,2023.1-2025.12,参与单位负责人

[15] 山东省自然科学基金杰出青年基金项目,宏观微观融合的高逼真度水泥水化反向建模,ZR2022JQ30,2023.1-2025.12,主持

[14] 泉城省实验室重点项目课题,信息不完备场景下模型决策方法研究,QCLZD202303,2023.1-2024.12,主持

[13] 山东省泰山学者工程,泰山学者青年专家计划,tsqn201812077,2019.1-2023.12, 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] 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

[10] 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

[9] 济南市科研带头人工作室项目,基于机器学习的水泥微结构动力学反向建模与性能预测,2021GXRC077,2022.1-2024.12,主持

[8] 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

[7] 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

[6] 济大 - 秋淇智能建材分析研究院,2021.9-2024.9,主持

[5] 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

[4] 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

[3] 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

[2] 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

[1] 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

 

奖励

[10] 面向全局最优的神经网络建模方法,山东计算机学会科学技术奖一等奖,第一位,自然科学奖,山东计算机学会,2024.

[9] 随机模糊环境下集群时变调度关键技术及应用,中国指挥与控制学会科学技术奖二等奖,第六位,技术发明奖,中国指挥与控制学会,2024.

[8] 大规模时空数据分布式查询理论与方法,山东省人工智能科学技术奖二等奖,第三位,自然科学奖,山东省人工智能学会,2022.

[7] “人工智能+X”研究生培养模式创新与实践,山东省高等教育教学成果奖二等奖,第七位,山东省教育厅,2022.

[6] 水泥微元演化进化建模理论与方法,山东省人工智能科学技术奖一等奖,第一位,自然科学奖,山东省人工智能学会,2021.

[5] 构建多维全景专业学位研究生案例教学体系促进实践创新能力培养研究,山东省高等教育教学成果奖二等奖,第十位,山东省教育厅,2018.

[4] 山东省自然科学学术创新奖,第一位,山东省科学技术协会,2016.

[3] 基于智能计算的水泥材料水化过程反向建模,济南计算机科学技术一等奖,第二位,济南市计算机协会,2016.

[2] ACM济南新星奖,第一位,ACM中国理事会,2015.

[1] 分布式园区网络访问控制关键技术研究,山东省科学技术奖二等奖,第四位,科技进步奖,山东省人民政府,2008.

 

知识产权

[20] 王琳,袁健峰,吴旭,杨波,关鹏伟,水泥微观图像像素点的元素含量预测方法及系统,发明专利,CN202210906370.6,2024

[19] 王琳,邢择正,吴旭,杨波,王栋,基于隐变量模型的水泥强度条件概率分布估计方法及系统,发明专利,ZL202311442782.X,2024.2.2.

[18] 王琳,邢择正,吴旭,杨波,王栋,一种基于流模型的水泥强度条件概率分布估计方法及系统,发明专利,CN202311442781.5,2024.1.5.

[17] 王琳,姜炳哲,杨波, 陈贞翔,周劲, 陈振学,一种基于树结构的菜谱生成方法、系统、存储介质及设备,发明专利,202311243302.7,2023.12.8.

[16] 陈福元,王琳,杨波,基于微观结构图像的水泥三维仿真模型建立方法及系统,发明专利,CN202011018012.9,2023.5.2.

[15] 吴旭,赵欣,王琳,杨波,基于水泥微观结构图像的硬化水泥水灰比预测方法及系统,发明专利,CN202011017990.1, 2022.10.25.

[14] 孙润元,孙风阳,王琳,杨华伟,张晓雪,倪庆瑞,于士国,基于GPU和双尺度图像特征比对的中药识别方法及系统,发明专利,ZL201811527910.X,2022.9.23.

[13] 王琳,孙风阳,孙润元,杨华伟,张晓雪,倪庆瑞,基于双尺度卷积神经网络的中药材识别方法及系统,发明专利,201811525966.1,2020.11.10.

[12] 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.

[11] 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.

[10] 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.

[9] 王琳,陈福元,杨波,面向真实结构与过程的水泥水化智能仿真平台 V1.0,软件著作权,2020SR1508703,2020.10.12.

[8] 王琳,陈福元,杨波,基于java的虚拟水泥实验室需求演示系统 V1.0,软件著作权,2019SR0912506,2019.9.3.

[7] 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.

[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

后第一排左起依次为:宁帅,岳文豪,张波,山皓然,李佳昊,张腾飞,徐雷,姜炳哲,张省身,Mazharul Islam

第二排左起依次为:赵汉卿,张成杰,熊润,王文炜,邢择正,朱胜辉,程泽明,赵欣,宋诚龙,高号众,吴旭,王琳

前排左起依次为:刘宸,张攀,谢宇杭,孔小曼,王梓静,庞超然,毛俊杰,彭伟,绳国宇,韩瑞琪

老照片
 

团队教师

吴金岩,博士,讲师, 2021年至今


杨程,博士,讲师, 2021年至今


张亮亮,博士,副教授, 2023年至今


刘双荣,博士,讲师, 2024年至今


在读研究生

Mazharul Islam,博士研究生 2020.9至今(导师:杨波、王琳)


课题:水泥水化建模

吴旭,博士研究生 2021.9至今(导师:杨波、王琳)


课题:面向低碳高性能的水泥配比智能优化研究

赵欣,博士研究生 2022.9至今(导师:杨波、王琳)


课题:基于机器学习的水泥水化微观结构演化建模

宁帅,博士研究生 2023.9至今(导师:杨波、王琳)


课题:基于符号回归的水泥水化建模研究

高基锁,硕士研究生 2020.9至今(导师:王琳)


课题:基于神经网络的表示学习

彭伟,硕士研究生 2022.9至今(导师:王琳)


课题:基于条件分布估计的金融时间序列预测的研究

熊润,硕士研究生 2022.9至今(导师:王琳)


课题:基于神经网络的有约黑盒优化算法研究

张攀,硕士研究生 2022.9至今(导师:王琳)


课题:基于机器学习的水泥水化微观结构的反向建模

山皓然 ,硕士研究生 2022.9至今(导师:杨波、王琳)


课题:基于树结构依赖的符号表达式回归研究

庞超然 ,硕士研究生 2022.9至今(导师:王琳)


课题:基于反卷积密度网络的任意形态随机过程建模

王文炜 ,硕士研究生 2022.9至今(导师:王琳)


课题:基于自由能理论的神经元及网络模型研究

张省身 ,硕士研究生 2022.9至今(导师:杨波、王琳)


课题:面向任意形态潜空间分布的解耦表示学习方法研究

毛俊杰 ,硕士研究生 2022.9至今(导师:王琳)


课题:小样本场景下自由形态的条件概率密度估计方法的研究

李佳昊 ,硕士研究生 2022.9至今(导师:王琳)


课题:基于扩散模型的实体纹理合成研究

高号众,硕士研究生 2023.9至今(导师:王琳、张亮亮)


课题:面向水泥数据的CT数据解析与设备强化

张腾飞,硕士研究生 2023.9至今(导师:王琳)


课题:水泥强度与性能预测

张成杰,硕士研究生 2023.9至今(导师:王琳)


课题:基于机器学习的优化方法

岳文豪,硕士研究生 2023.9至今(导师:王琳)


课题:在线可塑性学习

宋诚龙,硕士研究生 2023.9至今(导师:王琳)


课题:反卷积密度网络

朱胜辉,硕士研究生 2023.9至今(导师:王琳、张娜)


课题:基于概率密度估计的高校学生成绩预警模型研究

王梓静,硕士研究生 2023.9至今(导师:杨波、王琳)


课题:基于不确定建模的金融时间序列预测研究

谢宇杭,硕士研究生 2023.9至今(导师:王琳)


课题:水泥微结构演化建模

已毕业

刘双荣,博士 2020.3-2023.12


论文:Study on Explainable Rule-based Inference Neural Networks with Type-2 Fuzzy and Deep Architecture

张亮亮,博士 2019.3-2022.8


论文:Study on Novel Design of Methodologies for Computational Intelligence and Construction of Models for Cement Hydration

吴金岩,博士 2017.9-2021.2


论文:Analysis and optimazation of power consumption of a wireless network for IoT system

韩亚敏,博士 2017.9-2021.2


论文:Research on Computational Intelligent Methodologies and Optimization of Wireless Sensor and Actuator Networks

邢择正,硕士 2021.9-2024.7(导师:王琳)


论文:基于深度条件密度估计的水泥宏观性能预测


毕业去向:中国建材集团

张波,硕士 2021.9-2024.7(导师:王琳)


论文:基于变分自编码器的分布估计式黑盒优化方法研究


毕业去向:攻读博士学位

刘宸,硕士 2021.9-2024.7(导师:杨波、王琳)


论文:基于方程结构信息的水泥水化动力学方程建模研究


毕业去向:光力科技股份有限公司

姜炳哲,硕士 2021.9-2024.7(导师:王琳)


论文:基于规则约束的菜谱生成技术研究与应用


毕业去向:山东省司法厅系统

韩瑞琪,硕士 2021.9-2024.7(导师:王琳)


论文:基于条件密度估计的水泥微观结构局部演化建模研究


毕业去向:攻读博士学位

徐雷,硕士 2021.9-2024.7(导师:王琳、张娜)


论文:基于概率估计的高校建筑短期电力负荷预测方法研究及应用


毕业去向:山东金钟科技集团股份有限公司

朱攀,硕士 2020.9-2024.7(导师:王琳)


论文:基于神经网络的无人机视觉定位方法研究


毕业去向:山东派瑞医疗科技有限公司

李凡奇,硕士 2020.9-2023.7


论文:基于条件生成式对抗网络的水泥水化微结构原位演化建模


毕业去向:中国水利水电第十四工程局有限公司

宁帅,硕士研究生 2020.9-2023.7


论文:基于密度估计神经网络的黑盒问题优化算法研究


毕业去向:攻读博士学位

袁健峰,硕士 2020.9-2023.7


论文:基于条件概率密度估计的水泥微结构元素预测技术研究


毕业去向:中国铁塔股份有限公司

刘明,硕士 2020.9-2023.7


论文:基于概率密度估计的高校学生成绩预警模型研究


毕业去向:中国科学院深圳先进技术研究院

陆敏芳,硕士 2019.9-2022.7


论文:基于神经网络的启发式优化算法研究(山东省计算机学会优秀硕士论文)


毕业去向:浙江菜鸟传橙网络技术公司

吴建涛,硕士 2019.9-2022.7


论文:面向语义信息增强的表示学习方法研究


毕业去向:攻读博士学位(海外留学)

马军,硕士 2019.9-2022.7


论文:基于树结构依赖的神经编码表达式编程


毕业去向:攻读博士学位

陈兵,硕士 2019.9-2022.7


论文:面向条件密度估计的神经网络模型研究与应用


毕业去向:攻读博士学位(海外留学)

赵欣,硕士 2019.9-2022.7


论文:基于生成对抗网络的水泥微结构实体纹理合成关键技术研究与应用(山东省优秀硕士学位论文


毕业去向:攻读博士学位

吴颖,硕士 2019.9-2021.7


论文:基于国内政策的企业服务文本分类系统


毕业去向:攻读博士学位

郑钧腾,硕士 2018.9-2021.7(联合培养导师:Jeff Orchard教授


论文:基于进化计算的调制可塑性神经网络研究


毕业去向:攻读博士学位(海外留学)

刘春秀子,硕士 2018.9-2021.7


论文:面向复杂问题的自适应进化算法研究


毕业去向:攻读博士学位

吴旭,硕士 2018.9-2021.7


论文:面向微观结构图像的水泥属性逆估计研究与应用


毕业去向:攻读博士学位

陈福元,硕士 2018.9-2021.7


论文:面向智能反演模型的虚拟水泥水化仿真平台研究与设计


毕业去向:百度

范嘉薇,硕士 2018.9-2021.7


论文:基于神经网络的水泥微结构快速建模及性能分析


毕业去向:生命奇点(北京)科技有限公司

张小静,硕士 2018.9-2021.7


论文:基于神经网络的表征学习和判别性研究


毕业去向:北京九章云极科技有限公司

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(山东省优秀硕士学位论文、山东省人工智能学会优秀硕士学位论文


毕业去向:攻读博士学位(海外留学)

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(海外留学)

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:联想集团

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:广州视源电子科技股份有限公司

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(山东省优秀硕士学位论文


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(山东省优秀硕士学位论文


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