Member of IEEE, Member of ACM, Member of CCF and Member of CAA.

Research Interests:  machine learning, data mining and their applications in scientific computing.

Lin Wang received the Ph.D. degree in Computer Science and Technology from the School of Computer Science and Technology, Shandong University, China, in 2011. He is currently a Professor at the School of Information Science and Engineering, University of Jinan, China, and at the Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, China. He serves as a Director for the ACM Special Interest Group on Computer Science Education China (SIGCSE China), Secretary-General of ACM Jinan Chapter, Vice Secretary-General of the Shandong Artificial Intelligence Society, a Committee Member of the Youth Working Committee of the Chinese Association of Automation, a Committee Member of the Artificial Intelligence and Pattern Recognition Committee of the China Computer Federation, an Executive Director of the ShanDong Association of Artificial Intelligence, and a Member of the Higher Education Committee of the ShanDong Association of Artificial Intelligence. He is a Program Committee Member or Special Session Chair of many international conferences, e.g. AAAI, SPAC, ICONIP, SIGCSE China, and IEEE PICom. He is the Winner of the ACM Jinan Rising Star Award, Winner of the Shandong Provincial Natural Science Academic Innovation Award. He has been granted the Shandong Provincial Natural Science Foundation for Distinguished Young Scholars, granted the Taishan Scholar Project of Shandong Province, China, granted the Outstanding Graduate Supervisor of Shandong Province, and granted Provincial University Excellent Young Scientists Foundation of Shandong Provincial Natural Science Foundation.

Contact Information
Address: School of Information Science and Engineering, University of Jinan No. 336, West Road of Nan Xinzhuang, Jinan, 250022 China
Phone: +86 531 89736863   
E-mail:   

2017.09.26: Opportunity for Master's Degree with Scholarship Majoring in Computer Science @ University of Jinan, China.

2017.11.13: Prof. Jeff Orchard, University of Waterloo, Canada, presented a talk at University of Jinan

Journal (Reverse Chronology)

[42] Xin Zhao, Lin Wang*, Qinfei Li, Heng Chen, Shuangrong Liu, Pengkun Hou, Xu Wu, Jianfeng Yuan, Haozhong Gao, Bo Yang, 3D Microstructural Generation from 2D Images of Cement Paste using Generative Adversarial Networks, Cement and Concrete Research, 2024, 187:107726. [pdf]

[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.[pdf]

[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, 53(11):7058-7070. [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.

Conference (Reverse Chronology)

[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.[pdf]

[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.[pdf]

[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.[pdf]

[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.[pdf]

[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.[pdf]

[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.[pdf]

[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.[pdf]

[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.[pdf]

[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, 2023 9th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), 2023.[pdf]

[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]

Chinese (Reverse Chronology)

[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]

[21] Natural Science Foundation of China (NSFC), Research on Reverse Modeling of Cement Hydration Kinetics for Evolution Mechanism of Macroscopic Performance, 61872419, 2019.1-2022.12, Person in Charge.

[20] Natural Science Foundation of China (NSFC), Real Image Guided Reverse Intelligent Modeling and Performance Evaluation for Three Dimensional Development of Microstructure in Cement Hydration, 61573166, 2016.1-2019.12, Person in Charge.

[19] Natural Science Foundation of China (NSFC), Reverse Modeling for Cement Hydration based on MRF and STS, 61203105, 2013.1-2015.12, Person in Charge.

[18] National Key R&D Plan “Revelation and Leadership” Project of Building Materials Industry Topic, Research on Intelligent Modeling for Predicting the Physical Properties of Clinker and Cement, 2023JBGS11-03, 2023.11-2026.10, Person in Charge.

[17] Joint Project of Shandong Provincial Natural Science Foundation, Research on Efficient Deployment Techniques of Artificial Intelligence Algorithms for Microcontrollers, ZR2023LZH015, 2024.1-2026.12, Person in Charge of Participating Units.

[16] Major Basic Research Project of Shandong Provincial Natural Science Foundation , Research on Key Methods and Applications of Brain-Inspired Computing for Artificial Intelligence Security, ZR2022ZD01, 2023.1-2025.12, Person in Charge of Participating Units.

[15] Shandong Provincial Natural Science Foundation for Distinguished Young Scholars, Inverse Modeling of Cement Hydration with High Fidelity for Macro-Micro Integration, ZR2022JQ30, 2023.1-2025.12, Person in Charge.

[14] Key Research Project of Quancheng Laboratory Topic, Research on Model Decision Making Methods under Information Deficiency, QCLZD202303, 2023.1-2024.12, Person in Charge.

[13] Taishan Scholar Program of Shandong Provincial, Taishan Scholar Youth Expert Plan, tsqn201812077, 2019.1-2023.12, Person in Charge.

[12] Shandong Provincial Key Research Program, Research on Key Technologies of Intelligent Modeling of Cement Hydration for Real Structure and Process, 2019GGX101041, 2019.1-2020.12, Person in Charge.

[11] Provincial University Excellent Young Scientists Foundation of Shandong Provincial Natural Science Foundation, Simulation of Microstructural Development for Cement Hydration based on Spiking Neural Network and Reverse Modeling, ZR2015JL025, 2015.7-2016.12, Person in Charge.

[10] Shandong Provincial Natural Science Foundation, Reverse Modeling Cement Hydration Kinetics based on Three Dimensional Low-Level Features, ZR2012FQ016, 2012.7-2015.7, Person in Charge.

[9] Jinan Scientific Research Leader Studio Project, Microstructural Reverse Modeling and Performance Forecasting for Cement Kinetics based on Machine Learning, 2021GXRC077, 2022.1-2024.12, Person in Charge.

[8] Jinan Science and Technology Star Program for Young Scholars, Research on Key Technologies for Telecommunication Product Prediction using Reverse Modeling and Computational Intelligence, 2013012, 2013.7-2015.7, Person in Charge.

[7] Doctoral Startup Grant of University of Jinan, Reverse Modeling for the Microstructure of Cement Hydration based on GPU and Computational Intelligence, XBS1215, 2012.1-2014.12,Person in Charge.

[6] UJN - Qiuqi Intellegence Building Materials Analysis Research Institute, 2021.9-2024.9, Person in Charge.

[5] Shenzhen Gangchuang Building Materials Co.,LTD - University of Jinan Joint Research Project, Simulation Technology for Prediction of Concrete Strength, 2016.7-2018.7, Person in Charge.

[4] Natural Science Foundation of China (NSFC), Reverse Modeling and Auxiliary Design of Reconstructive Cement Hydration based on Phase Information, 62072213, 2021.1-2024.12, Member.

[3] Natural Science Foundation of China (NSFC), Three Dimensional Reverse Modeling for Microstructural Evolution of Cement Hydration using Moving Least Squares Surface, 61572230, 2016.1-2019.12, Member.

[2] Natural Science Foundation of China (NSFC), Microstructural Reverse Modeling and Performance Forecasting for Cement Hydration based on Intelligent Computing, 61173078, 2012.1-2015.12, Member.

[1] National 863 Program Subgrant, Sunway Blue Light High Performance Computer Systems, 2012.1-2012.12, Member.

[10] A Global Optimal Neural Network Modeling Method, First Prize of Shandong Computer Federation Science and Technology Award, Shandong Computer Federation, 2024.

[9] Key Technologies and Applications of Cluster Time-Varying Scheduling in Stochastic Fuzzy Environment, Second Prize of Chinese Institute of Command and Control Science and Technology Award, Chinese Institute of Command and Control, 2024.

[8] Theory and Methods for Distributed Querying of Large-Scale Spatiotemporal Data, Second prize of Shandong Province Artificial Intelligence Science and Technology Award, Shandong Association of Artificial Intelligence, 2022.

[7] Innovation and Practice of "Artificial Intelligence + X" Graduate Student Training Model, Second Prize of Shandong Higher Education Teaching Achievement Award, Shandong Department of Education, 2022.

[6] Theory and Methods of Cement Microstructure Evolutionary Modeling, First prize of Shandong Province Artificial Intelligence Science and Technology Award, Shandong Association of Artificial Intelligence, 2021.

[5] Research on Building a Multidimensional Panoramic Professional Degree Graduate Student Case Teaching System to Promote the Cultivation of Practical Innovation Ability, Second Prize of Shandong Higher Education Teaching Achievement Award, Shandong Department of Education, 2018.

[4] Winner of Shandong Provincial Natural Science Academic Innovation Award, Shandong Provincial Association for Science and Technology, 2016.

[3] Reverse Modeling of Cement Hydration Process Based on Intelligent Computing, First Prize of Jinan Computer Science and Technology Award, Jinan Computer Association, 2016.

[2] Winner of ACM Jinan Rising Star Award, ACM China Council, 2015.

[1] Research on Key Technologies for Distributed Campus Network Access Control, Second Prize of Shandong Provincial Science and Technology Progress Award, Shandong Provincial Government, 2008.

[20] Lin Wang, Jianfeng Yuan, Xu Wu, Bo Yang, Pengwei Guan, Method and System for Predicting Elemental Content of Pixels in Cement Micrographs, Patent, ZL202210906370.6, 2024.10.25.

[19] Lin Wang, ZeZheng Xing, Xu Wu, Bo Yang, Dong Wang, A Method and System for Estimating Conditional Probability Distribution of Cement Strength Based on Hidden Variable Model, Patent, ZL202311442782.X, 2024.2.2.

[18] Lin Wang, ZeZheng Xing, Xu Wu, Bo Yang, Dong Wang, A Method and System for Estimating Conditional Probability Distribution of Cement Strength Based on Flow Model, Patent, CN202311442781.5, 2024.1.5.

[17] Lin Wang, Bingzhe Jiang, Bo Yang, Zhenxiang Chen, Jin Zhou, Zhenxue Chen, A Tree-Structured Recipe Generation Method, System, Storage Medium, and Device, Patent, 202311243302.7, 2023.12.8.

[16] Fuyuan Chen, Lin Wang, Bo Yang, Establishment Method and System of Three-dimensional Simulation Model of Cement Based on Microstructure Images, Patent, CN202011018012.9, 2023.5.2.

[15] Xu Wu, Xin Zhao, Lin Wang, Bo Yang, Prediction Method and System of Hardened Cement Water-Cement Ratio based on Cement Microstructure Images, Patent, 202011017990.1，2022.9.28.

[14] Runyuan Sun，Fengyang Sun，Lin Wang，Huawei Yang，Xiaoxue Zhang，Qingrui Ni，Shiguo Yu，Traditional Chinese Medicine Recognition Method and System Based on GPU and Double-Scale Image Feature Comparison，Patent，ZL201811527910.X，2022.9.23.

[13] Lin Wang, Fengyang Sun, Runyuan Sun, Huawei Yang, Xiaoxue Zhang, Qingrui Ni, Identification Method and System of Chinese Medicinal Materials based on Double Scale Convolutional Neural Network, Patent, 201811525966.1, 2020.11.10.

[12] Lin Wang, Bo Yang, Telecommunication Package Optimization System and Methods Based on GPU and Near Huge Data Rapid Analysis, Patent, ZL201410046395.9, 2017.5.17.

[11] Lin Wang, Bo Yang, Telecommunication Package Optimization System and Methods Based on Near Huge Data Rapid Analysis, Patent, ZL201410046626.6, 2017.4.5.

[10] Lin Wang, Bo Yang, Cement Hydration Simulation and Macroscopic Properties Prediction Method Based on Microscopic Image Characteristics, Patent, 201310291886.5, 2015.10.28.

[9] Lin Wang, Fuyuan Chen, Bo Yang, Intelligent Cement Hydration Simulation Platform for Real Structure and Process, Software Copyright, 2020SR1508703，2020.10.12.

[8] Lin Wang, Fuyuan Chen, Bo Yang, Java-based Virtual Cement Requirements Laboratory Demonstration System, Software Copyright, 2019SR0912506, 2019.9.3.

[7] Lin Wang, Meihui Li, Changwei Cai, Concrete Strength Prediction System, Software Copyright, 2018SR469913, 2018.6.21.

[6] Lin Wang, Cellular Automata Presentation Software, Software Copyright, 2014SR045500, 2014.4.18.

[5] Lin Wang, Time Series Prediction Pystem, Software Copyright, 2014SR045514, 2014.4.18.

[4] Lin Wang, Scientific Computing Visualization System Based on WEB, Software Copyright, 2014SR045507, 2014.4.18.

[3] Lin Wang, The Cement Three-Dimensional Image Feature Extraction System Based on JAVA, Software Copyright, 2014SR045475, 2014.4.18.

[2] Lin Wang, Neural Network Classifier Software Based on CUDA, Software Copyright, 2014SR045479, 2014.4.18.

[1] Lin Wang, Scientific Research Team Achievement Management System in Higher Educational Institutions, Software Copyright, 2014SR045516, 2014.4.18.

Earlier Photos