刘建伟，男。博士生导师/硕士生导师。曾任加拿大温哥华英属哥伦比亚大学访问，加拿大滑铁卢大学高级访问。讲授概率机器学习（博士生），统计学习理论（博士生），模式识别专题（硕士生），可编程序控制器原理及其应用，模式识别与机器学习导论(人工智能导论)等课程。
　　长期从事模式识别与智能系统、复杂系统分析与智能控制、机器学习和数据挖掘方面的研究工作。美国数学会《数学评论》评论员，中国人工智能学会机器学习分会高级会员。在计算机学报，自动化学报、计算机研究与发展、电子学报、TNNLS、Neurocomputing等期刊上和国内国际会议上发表学术研究论文200多篇，其中三大检索150多篇。
　　博士生/硕士生招生专业：控制科学与控制工程，模式识别与智能系统；
　　欢迎报考，研究生一般需要过了英语六级。有意向学生需提前联系我后方可报考。可以保证与你一同阅读文献，制定研究方案,探讨公式推导，享受一段煎熬烧脑，冒险无极限，纯粹的学术研究生活。人生漫长，可能大多是索然无味，平淡无奇的时日，为何不抽出三两年追求一下天际线外的情怀?放逐一下营营？
　　联系电话：
　　Email: liujw@cup.edu.cn @qq.com
　　一 研究方向：
　　1.模式识别与智能系统
　　基于泛函分析理论（巴拿赫空间，索伯列夫空间，再复制希尔伯特空间理论，算子谱论，框架理论）、半参数模型理论、经验过程理论、随机过程统一中心极限理论、巴拿赫空间概率理论，运用深度学习、半监督学习、概率图模型学习、结构稀疏化学习、函数数据学习、支持向量机技术、缺失值分析技术、非线性时间序列分析技术，进行数据建模、统计分析、数据挖掘、复杂结构化数据分类、聚类、异常检测、故障诊断和特征选择方法研究。
　　2.复杂系统分析、预测与控制
　　随机非线性自适应控制，随机非线性估计、分析与鲁棒控制。
　　在线序列预测和分析，在线竞争分析，多臂赌博机算法分析及随机规划和控制。
　　分数阶脉冲积分微分方程的稳定性，解的存在性和可控性。
　　3.算法分析与设计
　　变分最优化算法，集值映射分析，随机优化算法分析，算法复杂性分析。
　　二 近几年代表性成果：
　　Google Scholar
　　http://scholar.google.com/citations?hl=zh-CN&user=Lw5L1GYAAAAJ&view_op=list_works&pagesize=100
　　Accepted and submitted papers:
　　1.刘建伟(Jian-wei Liu). 一样本与少样本学习.Survey of One-shot and Few-shot Learning. 2020.
　　2.刘建伟(Jian-wei Liu). 元学习综述.Survey of Meta Learning. 2020.
　　3.刘建伟(Jian-wei Liu).transformer研究进展. Research Progress of Transformer. Acta Automatica Sinica, 2020.
　　4.刘建伟(Jian-wei Liu). 深度自编码器.Deep Autoencoder. Acta Automatica Sinica.2019
　　5.刘建伟(Jian-wei Liu). 深度残差网络.Deep Residual Network. Acta Automatica Sinica, 2020.
　　6.刘建伟(Jian-wei Liu). 深度注意力机制神经网络.Attention Mechanism in Deep Learning. Acta Automatica Sinica. 2020.
　　7.刘建伟(Jian-wei Liu). 生成对抗网络研究进展.survey of Generative Adversarial Learning. Chinese Journal of Computers. 2020
　　8.刘建伟(Jian-wei Liu).和-积深度神经网络.Modeling with Deep Sum-Product Networks. Chinese Journal of Computers. 2020
　　9.刘建伟(Jian-wei Liu)u. 深度生成模型综述.Deep Generative Model.Chinese Journal of Computers. 2020
　　10.刘建伟(Jian-wei Liu). 单词嵌入表示学习.Modeling via Deep Word Embedding. Chinese Journal of Computers. 2020.
　　11.刘建伟(Jian-wei Liu). 深度循环神经网络和深度递归神经网络.Deep recurrent Neural Networks. Acta Automatica Sinica. 2020.
　　12.刘建伟(Jian-wei Liu).深度卷积神经网络.Deep Convolutional Neural Networks. Acta Automatica Sinica. 2020.
　　13.Lu-ning Zhang, 刘建伟(Jian-wei Liu), Xin Zuo. Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity. 2020
　　14.Si-si Zhang, 刘建伟(Jian-wei Liu), Xin Zuo. The Improvement of the Algorithm for EG with the Relative Entropy. 2020. The 32nd Chinese Control and Decision Conference (CCDC 2020)
　　15.刘建伟(Jian-wei Liu),谢浩杰,罗雄麟. Multi-view classification via Multi-view Partially Common Feature Latent Factor Learning. The 32nd Chinese Control and Decision Conference (CCDC 2020)
　　16.Jian-wei Liu, Xi-hao Ding, Run-kun Lu, Xiong-lin Luo. Self-attention Multi-view Representation Learning with Diversity-promoting. The 32nd Chinese Control and Decision Conference (CCDC 2020)
　　17.Jian-wei Liu, hui-dan Zhao, Run-kun Lu, Xiong-lin Luo. Multi-view classifier based on Probabilistic Collaborative Representation and Latent Representation. The 32nd Chinese Control and Decision Conference (CCDC 2020).
　　18.刘建伟(Jian-wei Liu),王园方,罗雄麟. Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss. The 32nd Chinese Control and Decision Conference (CCDC 2020)
　　19.Y Zhang, Jian-wei Liu, X Zuo.多任务学习综述.Survey of Multi-Task Learning. Chinese Journal of Computers. 2020
　　20.Jian-wei Liu, XH Ding, XL Luo.多模态学习综述.Multimodal Deep Learning.计算机研究应用.2020
　　21.Jian-wei Liu, YF Wang, XL Luo. 深度记忆网络研究进展.Research and Development on Memory Network. Chinese Journal of Computers. 2020. https://www.cnki.net/KCMS/detail/11.1826.TP.**.1543.004.html.
　　22.R Lu, Jian-wei Liu, S Lian, X Zuo. Attention-based Multi-View Deep Subspace Learning. 2020.
　　23.SS Zhang, X Zuo, Jian-wei Liu. Online Deep Learning Based on Auto-encoder.2020.
　　24.刘建伟(Jian-wei Liu) .贝叶斯后验正则化综述. Survey of Beyesian posterior regularization. 2020
　　25.刘建伟(Jian-wei Liu).连续学习研究进展. Survey of Continual Learning .2020
　　26.刘建伟(Jian-wei Liu).一样本与少样本研究进展. .Survey of One-Shot and Few-Shot Learning.2020
　　27.刘建伟(Jian-wei Liu).一样本学习研究进展. Survey of one sample Learning. 2020
　　28.刘建伟(Jian-wei Liu). 少样本学习研究进展.Survey of Few-Shot Learning. 2020
　　29.刘建伟(Jian-wei Liu).概率主题模型综述.Survey of Probabilistic hierarchical topic model.2020
　　30.刘建伟(Jian-wei Liu).解开纠缠的隐表示学习. Survey of Disentangled latent representation learning. 2020
　　31.刘建伟(Jian-wei Liu),胡泽楷.胶囊网络研究进展. Overview of capsule net. 2020
　　32.刘建伟(Jian-wei Liu).文本生成模型综述. Overviewof Text generative model. 2020
　　33.马帅,刘建伟(Jian-wei Liu) .左信.图深度神经网络. Overviewof graph deep neural network. 2020
　　34.胡铭菲,刘建伟(Jian-wei Liu) ,左信.Constructing Better Primary Capsules are More Crucial than Dynamic Routing in CapsNet . 2020
　　35.连思铭, 刘建伟(Jian-wei Liu),卢润坤,罗雄麟.Partially Disentangled Latent Relations for Multi-Label Deep Learning. 2020
　　36.刘建伟(Jian-wei Liu).自监督学习.Self-supervised learning . 2020
　　37.刘建伟(Jian-wei Liu).机器学习教程.textbook of machine learning. 2020
　　38.刘建伟(Jian-wei Liu).深度学习教程.textbook of deep learning. 2020
　　Published paper（only in recent years）
　　2019年
　　1.Run-kun Lu , Jian-wei Liu, Si-ming Lian, and Xin Zuo.Multi-View representation learning in Multi-Task Scene.Neural Computing and Applications (NCAA)（JCR2区）https://link.springer.com/article/10.1007/ s00521-019-04577-z? shared-article- renderer
　　2.刘建伟,谢浩杰,罗雄麟.生成对抗网络在各领域应用研究进展.自动化学报. Research Progress on Application of Generative Adversarial Networks in Various Fields.DOI：10.16383/j.aas.c180831. 2019.
　　3.S Lian, Jian-wei Liu, Run-kun Lu, Xiong-lin Luo. Captured Multi-label Relations via Joint Deep Supervised Autoencoder. Applied Soft Computing Journal.2019（JCR2区）.
　　4.刘建伟,赵会丹,罗雄麟，许鋆. 深度学习批归一化及其相关算法研究进展.自动化学报. Research Progress on Batch Normalization of Deep Learning and Its Related Algorithms.DOI：10.16383/j.aas.c180564. 2019.
　　5.张思思,左信,刘建伟.深度学习中的对抗样本问题. The Problem of the Adversarial Examples in Deep Learning.计算机学报.2019,42(8):1886-1438.
　　6.刘建伟,高峰,罗雄麟.基于值函数和策略梯度的深度强化学习综述. Survey of Deep Reinforcement Learning Based on Value Function and Policy Gradient.计算机学报.2019,42(6):1408-1904.
　　7.张鲁宁,左信,刘建伟.零样本学习研究进展. Research and Development on Zero-Shot Learning.自动化学报.DOI：10.16383/j.aas.c180118. 2019.
　　8.刘建伟,丁熙浩,罗雄麟.多模态深度学习综述.计算机应用研究.DOI：10.19734/j.issn.1001-3695.2018.12.0857. 2019.
　　9.张钰,刘建伟,左信.多任务学习.计算机学报. http://kns.cnki.net/kcms/detail/11.1826.TP.**. 1526.002.html. 2019.
　　10.Jian-wei Liu, Xi-hao Ding, Run-kun Lu, Xiong-lin Luo.Multi-View Capsule Net.28th Annual Conference on Artificial Neural Networks (ICANN 2019).
　　11.Jian-wei Liu, Feng Gao, Run-kun Lu, Xiong-lin Luo, Chu-ran Wang. DDRM-CapsNet: Capsule Network based on Deep Dynamic Routing Mechanism for complex data. 28th Annual Conference on Artificial Neural Networks (ICANN 2019).
　　12.Jian-wei Liu, Feng Gao, Run-kun Lu, Xiong-lin Luo, Chu-ran Wang.FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data. The 2019 International Joint Conference on Neural Networks (IJCNN2019).
　　13.Jian-wei Liu, Zhi-juan Cao, Jing Liu, Xiong-lin Luo, Wei-min Li ,Nobuyasu Ito, Long-Chuan Guo.Phase Retrieval via Wirtinger Flow Algorithm And Its Variants.The 2019 International Conference on Machine Learning and Cybernetics (ICMLC2019).
　　14.Lu-ning Zhang, Xin Zuo , Jian-wei Liu,Wei-min Li, Nobuyasu Ito. Comments on ‘‘Finite-time Analysis of the Multiarmed Bandit Problem’’. The 2019 International Conference on Machine Learning and Cybernetics (ICMLC2019).
　　15.Run-kun Lu, Jian-wei Liu, Yuan-fang Wang, Hao-jie Xie, and Xin Zuo.Auto-Encoder based Co-Training Multi-View Representation Learning. The 23nd Pacific-Asia Conference on Knowledge Discovery and Data Mining. PAKDD2019.
　　2018年
　　1.W Li, J Mo, Y Liu, N Ito, Y Murase, Jian-wei Liu.The influence maximization problem in the network under node personalized characteristics. the 3rd IEEE Cyber Science and Technology Congress 12-15 august 2018 athens.2018
　　2.Si-si Zhang, Jian-wei Liu, Xin Zuo, Xin Wan, Mohamed S. Kamel. MRAC-MU Online Learning. 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) Singapore, November 18-21, 2018
　　3.R Lu, Jian-wei Liu, S Lian, X Zuo.Multi-View Learning Based on Common and Special Features in Multi-Task Scenarios.The 37th Chinese control conference (CCC2018) .2018.
　　4.S Lian, jianwei liu, R Lu, X Luo.Multi-label Learning via Supervised Autoencoder. The 37th Chinese control conference (CCC2018).2018.
　　5.S Lian, jianwei liu, X Luo.Rank Pruning approach for Noisy Multi-Label Learning.The 2018 IEEE International Conference on Systems, Man, and Cybernetics.2018
　　6.Y Zhang, X Zuo, Jian-wei Liu. Probabilistic implicit multitask feature learning based on weight matrix partition. 2018 2nd International Conference on Artificial Intelligence, Automation and Control Technologies (AIACT 2018) Journal of Physics: Conference Series. 2018
　　7.LC Guo, Jian-wei Liu.Improved backstepping control for stochastic high-order nonlinear time delay system with a constructive mechanical system. Transactions of the Institute of Measurement and Control, 0**1955.2018
　　8.R Lu, X Zuo, S Lian, Jian-wei Liu, X Luo. Affine Transformation Capsule Net. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining. PAKDD2018
　　2017年
　　1.刘建伟,崔立鹏,罗雄麟. 结构稀疏模型.计算机学报, 2017, 40(6): 1309-1338
　　2.Liu Jian Wei，Online Learning Algorithm Based on Adaptive Control Theory，IEEE Transactions on Neural Networks & Learning Systems，2018，PP（99）：1-16
　　3.Xin Wang, Xin Zuo, Jian-wei Liu, Hua-qing Liang.Robust Observer-based H∞ Control for Uncertain Discrete Time-delay Systems with Nonlinearities Electric-hydraulic System Under H?lder Condition.Optimal Control Applications and Methods.Volume 38, Issue 6, November/December 2017, Pages 1120–1131.
　　4.Xin Zuo, Jian-wei Liu, Xin Wang, and Hua-qing Liang.Adaptive PID and Model Reference Adaptive Control Switch Controller for Nonlinear Hydraulic Actuator.Mathematical Problems in Engineering.2017,**.
　　5.Liu Jian-Wei, Li-Peng Cui, and Xiong-Lin Luo. Group variable selection and parameter estimation via Group Berhu method. 2017 International Conference on Machine Learning and Cybernetics (ICMLC),9-12 July 2017, IEEE, 2017:2160-1348. (Lotfi Zadeh Best Paper Awards)
　　6.Jian-wei Liu,Shuang-Cheng Li ,Li-peng Cui,Xiong-lin Luo.Simultaneous classification and feature selection via LOG SVM and Elastic LOG SVM.2017 36th Chinese Control Conference (CCC), 26-28 July 2017, IEEE, 2017:11017-11022.
　　2016年
　　1.刘建伟,崔立鹏,罗雄麟.概率图模型的稀疏化学习.计算机学报, 39(8)：1597-1611
　　2.Y Duan, Z Xin, Jian-wei Liu.Asynchronous update based networked predictive control system using a novel proactive compensation strategy.ISA Transactions 60, 164-177.
　　3.Jian-wei Liu, LI Hai-en, Z Jiajia, L Xionglin.Survey on the Representation Theory of Probabilistic Graphical Models.Chinese Journal of Electronics , 2016, 44(5): 1219-1226.刘建伟, 黎海恩, 周佳佳, 等. 概率图模型的表示理论综述[J]. 电子学报, 2016, 44(5): 1219-1226.
　　4.Liu Jian-wei, Sun Zheng-kang, Liu Ze-yu, Luo Xiong-lin. Domain Adaptation Learning with Kernel Logistic Regression and Kernel Canonical Correlation Analysis. Acta Electronica Sinica, 2016, 44(12): 2908-2915. 刘建伟, 孙正康, 刘泽宇, 罗雄麟. 核典型关联性分析相关特征提取与核逻辑斯蒂回归域自适应学习[J]. 电子学报, 2016, 44(12): 2908-2915.
　　5.Jian-wei Liu, L Cui, X Luo.Research and development on Structured Sparse Models and Algorithms.Computer Science ,2016,43(6A):1-16.刘建伟,崔立鹏,罗雄麟.结构稀疏模型及其算法研究进展[J].计算机科学,2016,43(6A):1-16
　　6.H Qin, X Zuo, Jian-wei Liu.Some new generalized retarded Gronwall-Like inequalities and their applications in nonlinear systems, Journal of Control Science and Engineering.
　　7.Liu J, Cui L, Luo X. MCR SVM classifier with group sparsity[J]. Optik-International Journal for Light and Electron Optics, 2016, 127(17): 6915-6926.
　　8.Jian-wei Liu, Zhou J, and X Luo. Online Learning Algorithms for Shifting Experts Problem.
　　9.Xin Wang, Xin Zuo, Jianwei Liu, Huaqing Liang, Qi Pan.Robust Discrete-time Control for Uncertain time-delay Systems with Nonlinearities Under H?lder Continuity. The 16th International Conference on Control, Automation and Systems(ICCAS 2016), 2016.10,16-19, 1208-1213.
　　2015年
　　1.刘建伟, 崔立鹏, 刘泽宇, 罗雄麟.正则化稀疏模型.计算机学报, 2015, 38(7):1307-1325.
　　2.刘建伟,任正平,刘泽宇,黎海恩,罗雄麟.两两关系马尔可夫网的自适应组稀疏化学习.自动化学报, 2015, 41(8):1419-1437.
　　3.刘建伟, 崔立鹏, 罗雄麟. 组稀疏模型及其算法综述. 电子学报, 2015, 43(4): 776-782.
　　4.刘建伟,刘媛,罗雄麟.半监督学习方法. 计算机学报, 2015, 38(8):1592-1618.
　　5.刘建伟, 崔立鹏, 黎海恩, 等. 概率图模型推理方法的研究进展. 计算机科学, 2015, 42(4): 1-18.
　　6.Qin H, Zuo X, Jian-wei Liu, et al. Approximate controllability and optimal controls of fractional dynamical systems of order 1< q< 2 in Banach spaces. Advances in Difference Equations, 2015, 2015(1): 1-17.
　　7.Zhou J, Jian-wei Liu, Luo X. Rademacher complexity bound for domain adaptation regression[100]//Technologies and Applications of Artificial Intelligence (TAAI), 2015 Conference on. IEEE, 2015: 273-280.
　　8.Jian-wei Liu, Zhou J, Luo X. Multiple source domain adaptation: A sharper bound using weighted Rademacher complexity[100]//2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2015: 546-553.
　　9.Jian-wei Liu, Zhou J, Luo X. Multiple source domain adaptation: A bound using p-norm covering numbers[100]//2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2015: 281-288.
　　2014年
　　1.Jianwei Liu, Yuan Liu. Liu J, Liu Y. Non-integer norm regularization SVM via Legendre–Fenchel duality. Neurocomputing, 2014, 144: 537-545.
　　2.刘建伟,黎海恩,罗雄麟. 概率图模型学习技术研究进展. 自动化学报, 2014, 40(6): 1025-1044.
　　3.刘建伟,孙正康,罗雄麟. 域自适应学习研究进展. 自动化学报, 2014, 40(8): 1576-1600.
　　4.刘建伟,刘媛,罗雄麟.波尔兹曼机研究进展. 计算机研究与发展, 2014, 51(1):1-16. (入选F5000中国精品科技期刊顶尖学术论文)
　　5.刘建伟,黎海恩,刘媛,付捷,罗雄麟.迭代再权共轭梯度q范数正则化线性最小二乘支持向量机分类算法. 控制理论与应用, 2014, 31(3):334-342.
　　6.刘建伟, 黎海恩, 罗雄麟.概率图模型表示理论.计算机科学, 2014, 41(9):1-17
　　7.刘建伟,刘媛,罗雄麟.深度学习研究进展. 计算机应用研究, 2014, 31(7): 1921-1930.
　　8.Guo Long-chuan, Liu Jian-wei, Zuo Xin, Liang Huaqing. Output-Feedback Stabilization for a Special Class of Stochastic Nonlinear Time-Delay System With More General Growth Conditions. Journal of Dynamic Systems, Measurement, and Control, 2014, 136(6): 061004.
　　9.Guo Long-chuan, Zuo Xin,Liu Jian-wei, Liang Huaqing. Output-feedback control of a class of stochastic nonlinear systems with power growth condition. International Journal of Control, Automation and Systems. 2014, 12(2):274-282.
　　10.Qin H, Liu J, Zuo X, Jian-wei Liu. Approximate controllability and optimal controls of fractional evolution systems in abstract spaces. Advances in Difference Equations, 2014, 2014(1): 1-22.
　　11.Haiyong Qin Jianwei Liu,Xin Zuo, Controllability problem for fractional integrodifferential evolution systems of mixed type with the measure of noncompactness. Journal of Inequalities and Applications, 2014, 292: 1-15.
　　12.Yinyao Duan, Zuo Xin, Liu Jian-wei. Design and stability analysis of networked control system with random delay and data dropout using a novel proactive strategy. Control & Automation (ICCA), 11th IEEE International Conference on. IEEE, 2014: 843-850.
　　13.Liu Jianwei, Cui Lipeng, Luo Xionglin. Non-integer norm regularized logistic regression.Control and Decision Conference (2014 CCDC), The 26th Chinese. IEEE, 2014: 1333-1338.
　　14.Long-Chuan Guo,Hua-Qing Liang,Xin Zuo,Jian-Wei Liu Guo L C, Liang H Q, Zuo X, et al. Further results on output feedback control for a class of high order stochastic nonlinear systems with more general conditions.System Integration (SII), 2014 IEEE/SICE International Symposium on. IEEE, 2014: 245-250.
　　15.Haiyong Qin,Xin Zuo, Jian-wei Liu, Guo Longchuan. Existence and Controllability Results for Fractional Impulsive Integrodifferential Systems with Nonlocal Initial Conditions in Banach Spaces. the 52nd Annual Allerton Conference on Communication, Control, and Computing October 1-3, 2014, Allerton House, UIUC, Illinois, USA, 2014.
　　16.刘建伟,刘媛,罗雄麟.用于社区检测的加权非负矩阵三因式分解,计算机工程与设计.2014, 35(12):4284-4288.
　　2013年
　　1.Qin H, Zuo X, Jian-wei Liu. Existence and Controllability Results for Fractional Impulsive Integrodifferential Systems in Banach Spaces.Abstract and Applied Analysis. Hindawi Publishing Corporation, 2013.
　　2.Jian-wei Liu,Guo Longchuan, Zuo Xin,Liang Huaqing.Output-feedback and inverse optimal control of a class of stochastic nonlinear systems with more general growth conditions. Journal of Applied Mathematics.2013.
　　3.Jian-wei Liu, ShuangCheng Li, Xionglin Luo.Iterative Reweighted Non-integer Norm Regularizing SVM for Gene Expression Data Classification. Computational and Mathematical Methods in Medicine.2013.
　　4.Hailong Huang,Xin Zuo,Chao Huang, Jian-wei Liu. A framework for classification with single feature kernel matrix. Optik - International Journal for Light and Electron Optics,2013, 125( 3):1024-1029.
　　5.Guo Longchuan,Zuo Xin,Liu Yuan, Jian-wei Liu, Liang Huaqing. Output-feedback control of a class of high-order stochastic nonlinear systems satisfying power growth conditions. Control Conference (CCC), 2013 32nd Chinese. IEEE, 2013: 407-411.
　　6.Jian-wei Liu, Chi Guang-hui,LI Hai-en, Liu Yuan, Luo Xiong-lin. Predicting protein structural classes with autoencoder neural networks.Control and Decision Conference (CCDC), 2013 25th Chinese. IEEE, 2013: 1894-1899.
　　7.Jian-wei Liu, Chi Guanghui, Liu Zeyu, Liu Yuan, Li Haien, Luo XiongLin. Prediction of protein secondary structure using multilayer feed-forward neural networks. Control and Decision Conference (CCDC), 2013 25th Chinese. IEEE, 2013:1346-1351.
　　8.黎海恩,刘建伟,罗雄麟.概率图模型的变分近似推理. 中南大学学报, 2013, 44 (SUPPL.1): 6-11.
　　9.Huang Hailong, Jian-wei Liu, Zuo Xin, Lp-norm SVM Based on reweighted Minimization with Positive Damped Item. Journal of Theoretical and Applied Information Technology. 2013, 52(2):261-267.
　　10.刘建伟, 付捷, 汪韶雷, 罗雄麟.坐标下降l2范数LS-SVM分类算法.模式识别与人工智能, 2013, 25(5): 474-480.
　　11.池光辉,刘建伟,李卫民,罗雄麟.权核Logistic回归模型的分类和特征选择算法. 计算机工程与应用,2013, 49 (9): 41-44.
　　12.付捷,刘建伟,李双成,罗雄麟.基于bregman距离和等式约束正则化AdaBoost算法.计算机工程与应用, 2013, 49 (3): 166-170.
　　13.刘建伟,黎海恩,刘媛,付捷,罗雄麟. 距离和损失函数约束正则化的 AdaBoost 算法.计算机工程与应用, 49(15): 133-135.
　　14.左信,黄海龙, 刘建伟. 非凸共轭梯度p范数正则化SVM分类算法. 广西师范大学学报,2013, 31(3):29-36.
　　15.刘建伟,黎海恩, 刘媛, 付捷, 罗雄麟.迭代再权共轭梯度q范数正则化线性LS-SVM分类算法.第24届中国过程控制会议, 2013.
　　16.刘建伟, 黎海恩, 刘媛, 付捷, 罗雄麟.基于权核非线性SVM特征选择算法.第24届中国过程控制会议, 2013.
　　17.Jian-wei Liu, Chi G H, Luo X L. Contrastive divergence learning for the Restricted Boltzmann Machine[100]//Natural Computation (ICNC), 2013 Ninth International Conference on. IEEE, 2013: 18-22.
　　18.刘建伟,李双成,罗雄麟.非近似加更新和乘更新在线分类算法, 计算机学报, 2012,36 (2): 327-340.
　　三 研究项目
　　1.2018年4月－2019年12月，中国石油大学（北京）2018年度前瞻导向及培育项目，**QZDX02，“神经网络深度学习理论框架和分析方法及工具” 10万
　　2.国家重点研发计划项目，2016YFC**-03，项目“基于深水功能舱的全智能新一代水下生产系统关键技术研究”的子课题“水下生产系统智能控制解决方案及关键技术研究，2016/06-2020/12，43.6万元，在研
　　3.国家十二五重大专项子课题“水下控制系统与水下阀门及执行机构关键技术”(2011ZX05026-003-01)， 2011-2015.（编号2011ZX05026-003-01），50万元。
　　4.加拿大合作项目“adaptive data mining algorithms for non-stationary data”
　　5.加拿大合作项目“Driver Behaviors Recognition for In-Vehicle Environment“
　　6.2011年4月－2012年4月，中国石油大学（北京）基础学科研究基金，Lp范数(0＜p≤2)正则化SVM学习算法及其在生物信息学中的应用研究，10万，(JCXK-2011-07) ，负责人
　　7.2010年9月－2011年9月，技术开发项目“安全仪表系统SIL等级评估计算软件开发”，安稳优科技有限公司。
　　8.2009年10月－2010年6月，国家863项目“深水海管铺设张紧器等设备集成”，负责控制部分。
　　四学术荣誉
　　1.教育部学位与研究生教育发展中心评审专家
　　2.北京市自然科学基金评审专家
　　3.Vice Chair of Control theory and engineering Session for the 24th Chinese Process Control Conference (2013 CPCC).
　　4.Chair of Neural Network 1 Session 1 and Vice Chair of Neural Network Session 2 for the 25th Chinese Control and Decision Conference (2013 CCDC).
　　5.Member of the Technical Program Committee for the 33rd Chinese Control Conference (CCC 2014).
　　6.Member of the Technical Program Committee for the 34rd Chinese Control Conference (CCC 2015).
　　7.Member of the Technical Program Committee for the 35rd Chinese Control Conference (CCC 2016).
　　8.Member of the Technical Program Committee for The 2017 International Conference on Information Science and Technology(ICIST2017)
　　9.Member of the Technical Program Committee for the 2nd International Conference on Control and Automation (ICCA2017).
　　10.Member of the Technical Program Committee for the 2016 International Conference on Artificial Intelligent and Computer Science(AICS2017).
　　11.Member of the Technical Program Committee for the 36rd Chinese Control Conference (CCC 2017).
　　12.Member of the Technical Program Committee for The 2017 International Conference on Mechanical Engineering and Control Automation (ICMECA2017)
　　13.Member of the Technical Program Committee for the 2017 International Conference on Intelligent Computing and Signal Processing (ICSP 2017)
　　14.Member of the Technical Program Committee for The 2017 International Conference on Electronic Industry and Automation (EIA2017)
　　15.Member of the Technical Program Committee for The 4th annual International Conference on Information Technology and Applications(ITA 2017)
　　16.Member of the Technical Program Committee for The International Conference on Electrical Engineering and Automation Control (ICEEAC2017)
　　17.Member of the Technical Program Committee for The annual 2017 International Conference on Design, Manufacturing and Mechatronics (ICDMM2017)
　　18.Member of the Technical Program Committee for The 2017 International Conference on Cloud Technology and Communication Engineering [CTCE2017],August 18th - 20th, 2017, Guilin, China
　　19.Member of the Technical Program Committee for the International Conference on Artificial Intelligence and Computer Engineering [AICE2017]
　　20.Member of the Technical Program Committee for 2017 International Conference on Electronics, Electrical Engineering and Information Science [EEEIS2017] , September 8-10, 2017, Guangzhou, Guangdong, China
　　21.Member of the Technical Program Committee for the International Conference on Control Engineering and Mechanical Design [CEMD2017]
　　22.Member of the Technical Program Committee for the 2nd IEEE International Conference on Agents (ICA 2017). Beijing, China, on July 6-9, 2017.
　　23.Member of the Technical Program Committee for the 3rd Annual International Conference on Computer Science and Mechanical Automation (CSMA2017), November 10-12, 2017.City: Wuhan, Hubei, China, www.csma2017.org
　　24.Member of the Technical Program Committee for The 2nd Annual International Conference on Information System and Artificial Intelligence [ISAI2017] will be held on July 14-16th, 2017 in Tianjin, China, http://www.isai2017.org/
　　25.Member of the Technical Program Committee for The 2018 International Conference on Control, Automation and Electrical Systems[ICCAES2018] will be held in Wuhan, China during April 20th-22nd, 2018
　　26.Member of the Technical Program Committee for The 2nd annual International conference on Control Engineering and Mechanical Design (CEMD2018) will be held in Guilin, China,during October 19th-21st, 2018
　　27.Member of the Technical Program Committee for 2018 the 2nd annual International Conference on Cloud Technology and Communication Engineering [CTCE2018] CTCE2018 will be held in Nanjing, China during August 17th-19th, 2018.
　　28.Member of the Technical Program Committee for The 9th Annual International Congress of Information and Communication Technology[ICICT2019]，Nanning, Guangxi, China，January 11-13, 2019
　　29.Committee Chair of the Computation and Information Technology Research 2018 (CITR 2018), Asia Pacific Society for Computing and Information Technology (APSCIT). August 19 - 22, 2018.
　　30.Member of the Technical Program Committee for 2nd Annual International Conference on Control, Automation and Electrical Systems April 19th-20th, 2019, Wuhan, China
　　31.Member of the Technical Program Committee for The 2019 International Conference on Artificial Intelligence and Computer Science [AICS2019]will be held on July 12th-13rd, 2019, in Wuhan, Hubei, China.
　　32.Program Chair for the 2019 International Conference on Artificial Intelligence and Computer Science [AICS2019] will be held on July 12th-13rd, 2019, in Wuhan, Hubei, China.
　　33.Member of the Technical Program Committee for The 4th IEEE Cyber Science and Technology Congress（CyberSciTech 2019）August 5-8 2019, Fukuoka, Japan
　　34.Member of the Technical Program Committee for The 38th Chinese Control Conference (CCC2019) will be held during Saturday through Tuesday, July 27-30, 2019, in Guangzhou, China.
　　35.Member of the Technical Program Committee for 2019 the 3rd annual International Conference on Cloud Technology and Communication Engineering [CTCE2019]November 15-16, 2019, Wuhan, China
　　36.Member of the Technical Program Committee for The 4th International Conference on Intelligent, Interactive Systems and Applications will be held during June 28-30,2019 in Bangkok, Thailand.
　　37.Member of the Technical Program Committee of Logistics and Supply Chain Management ILSCM2019
　　38.Member of the Technical Program Committee of The 4th International Conference on Intelligent, Interactive Systems and Applications will be held during June 28-30,2019 in Bangkok, Thailand. http://www.iisaconference.com.
　　39.Member of the Technical Program Committee for the 35rd Chinese Control Conference (CCC 2020).
　　五 审稿人
　　1.Journal of Algorithms and Computational Technology
　　2.Engineering Applications of Artificial Intelligence Impact Factor: 2.368
　　3.Transportation Research Part C: Emerging Technologies Impact Factor: 3.075
　　4.AMS Mathematical Reviews
　　5.IEEE Transactions on Emerging Topics in Computing
　　6.Acta Mathematica Scientia
　　7.Asian Journal of Control
　　8.ISA transction
　　9.International Journal of Systems Science
　　10.IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics
　　11.Expert Systems with Applications
　　12.Acta Automatica Sinica
　　13.Journal of Zhejiang University
　　14.JOURNAL OF VIBRATION AND SHOCK
　　15.计算机学报
　　16.控制理论与应用
　　17.河南大学学报
　　18.河北大学学报
　　19.浙江大学学报
　　20.上海交通大学学报
　　21.江西财经大学学报
　　六 桃李芬芳
　　秦海勇博士 毕业去向：山东大学博士后齐鲁师范学院
　　郭龙川博士 毕业去向：杭州电子科技大学
　　段英尧博士 毕业去向：航天科技集团九院13所航天控制仪表研究所
　　赵会丹硕士 毕业去向：中信银行
　　高峰硕士 毕业去向：猎豹移动
　　丁熙浩硕士 毕业去向：中电科海洋信息研究院
　　王磊硕士 毕业去向：科大讯飞
　　刘媛硕士毕业去向：中国石化集团南京设计院
　　黎海恩硕士 毕业去向：新华医药化工设计有限公司
　　周佳佳硕士毕业去向：中国石化集团洛阳石油化工工程公司
　　任正平硕士 毕业去向：国家知识产权局专利审查协作四川中心
　　李双成硕士毕业去向：北京航天石化技术装备工程有限公司
　　迟光辉硕士 毕业去向：北京航天石化技术装备工程有限公司
　　八 学海思语
　　一
　　那深深的庭院掩映在绿树丛中
　　秋日的阳光尽情地挥洒在它红色的屋顶
　　我犹豫着是走近看个端详
　　还是寻觅下一个更奇妙的幽深院落
　　迟疑间，日落西山
　　庭院已不复是刚才的模样
　　二
　　记得那时年少
　　校园曲径徜徉
　　青春的味道恍如盛夏青涩的果实氤氲着我
　　心中流淌着莫名的迷茫
　　望着疾驰飞奔过田野的火车
　　隐隐的憧憬着未知的人生和岁月
　　又蓦然思念起了大漠上的家乡
　　农妇在孝陵卫的农田里劳作
　　好奇地打量那懵懂的少年
　　还曾记得钟山下校园蒿草的幽香
　　如今这些向往已经成了往日的回忆
　　明孝陵的神道也不时闯入匆忙的思绪
　　也曾想久别后重逢那青春的时光
　　只是，只是最好的邂逅是不再相遇
　　三
　　经过这么长时间的沉淀，我坐下来，说说过往，许多青涩的年华，从指间流淌，汇集成一条怀念和感激的小溪，流向远方，不能用言语表达的往事慢慢浸润了我的心海。
　　四
　　如果人生有失败和成功，那人生必定是要失败的，再辉煌的人生也是要消亡的，不留下一片云彩。谁也争不过天命。灯总有息灭的时候。因而也就释然了。展示最华丽，最惊艳的过程吧。按照自己的心绪去生活，不害怕无谓的未知世界，因为已经有了确定性的答案，在平心静气的翻开答案之前，就假装没有答案好了，一切的苦难和挫折远离了尘世的喧嚣。在归于宁静之前，给自己一个美好的留影吧，把自己最好的一面留在光影里，留在逝去的光阴里。不为别的无谓烦恼而活着，为了最纯粹的精致的自己的人生而活着。
　　五
　　银装素裹的沙枣树像淡淡的雾浮动在遥远的天际，一味地漾开去，似乎接了天际的尽头，它什么也没有说，但是我听懂了；门前婆娑的柳树随风摇曳，摇曳着我心神向往的思绪，长昼一味地绵延着，它什么也没有说，但是我听懂了；沙丘用一个个神秘的隆起沿着炽热的阳光蒸腾开去，以一种永远的沉寂划破了时空的隧道，它什么也没有说，但是我听懂了；湖水泛起细微的漪涟，淡定地款款深情的度着莲步，浸透了我的沉思，蜻蜓傻愣着站在芦苇枝头，它什么也没有说，但是我听懂了；芦花鸡缓慢悠长地咯咯叫着，迟缓地摆动着下巴上的深红的厚缀，它的吟唱拉长了午后的时光，它对我什么也没有说，但是我听懂了；
　　六
　　人生就像是求解抽象偏微分方程，解是存在的，确定无疑的会死。但死的方式可以各种各样。可以放在欧几里得空间和巴拿赫空间求解，可以在索伯列夫空间，再复制希尔伯特空间求解，求解的方式可以是梯度下降，牛顿迭代，前向反向算子划分，迭代求解的目标函数可以是利益最大，金钱最大，权势最大，占有最大，声望最大，求得的解可以是平凡解，温和解，伪解，近似解，强解。相应有遗臭万年解，声名远扬解，平凡伟大解。
　　七
　　春天以一种惊艳的姿态来到了，长满青苔的大树枝头霹雳啪啦响个不停，裹着树枝的冰霜爆裂开来，欢天喜地的扑啦啦落在地上，像春节的燃放的鞭炮。巍峨的参天大树浑身挂满了露珠而晶莹剔透，显示出别样的风采，40多年来从来没有这么如此真切地听到急速的春的脚步这样到来，天气也明媚起来，显出少女般曼妙的姿容，浅草也穿上了新绿，感叹于自然的勃勃生机，春天以一种毫不犹豫，一无遮拦的方式打了我个措手不及，悠远的天际美的自然，落落大方，感染于生命的轰轰烈烈，一往无前，你难道不需要做点什么吗？
　　八
　　没有什么能挡住未来，只有你自己阻挡住自己。
　　九
　　你一直觉得恐惧的，不舒服的，想逃避的事，也是你进步的方向。到底是为自己的好奇心活着，还是为自己的自尊心活着，你知道自己应该怎么活着，为什么不能坦然面对，为什么不追逐着自己的心活着，总是有那么多的禁锢和枷锁，总是不能宁心静气的坦然面对啊。