![劉建偉[中國石油大學（北京） 副研究員]](/img/6/a3f/nBnauM3XygTN4gTOyADO1kTO0UTMyITNykTO0EDMwAjMwUzLwgzL4YzLt92YucmbvRWdo5Cd0FmL0E2LvoDc0RHa.jpg "劉建偉[中國石油大學（北京） 副研究員]")
教授課程
模式識別專題（博士生）
可程式序控制器原理及其套用
模式識別 與機器學習導論
研究方向
1．模式識別與智慧型系統
基於泛函分析理論（巴拿赫空間，索伯列夫空間，再複製希爾伯特空間理論，運算元譜論，框架理論）、半參數模型理論、經驗過程理論、隨機過程統一中心極限理論、巴拿赫空間機率理論，運用深度學習、半監督學習、機率圖模型學習、結構稀疏化學習、函式數據學習、支持向量機技術、缺失值分析技術、非線性時間序列分析技術，進行數據建模、統計分析、數據挖掘、複雜結構化數據分類、聚類、異常檢測、故障診斷和特徵選擇方法研究。
2．複雜系統分析、預測與控制
隨機非線性自適應控制，隨機非線性估計、分析與魯棒控制。
線上序列預測和分析，線上競爭分析，多臂賭博機算法分析及隨機規劃和控制。
分數階脈衝積分微分方程的穩定性，解的存在性和可控性。
3．算法分析與設計
變分最最佳化算法，集值映射分析，隨機最佳化算法分析，算法複雜性分析。
近年代表成果
接受以及投稿的論文
2019年
Jian-wei Liu. Survey of One-shot and Few-shot Learning. 2019.
Lu-ning Zhang, Jian-wei Liu, Xin Zuo. Comments on ‘‘Finite-time Analysis of the Multiarmed Bandit Problem’’ 2019.
Jian-wei Liu. Survey of Meta Learning. 2019.
Jian-wei Liu. Simultaneous Localization and Mapping (SLAM). Acta Automatica Sinica,2019.
Jian-wei Liu. Deep Autoencoder. Acta Automatica Sinica.2019
Jian-wei Liu. Deep Residual Network. Acta Automatica Sinica,2019.
Jian-wei Liu. Attention Mechanism in Deep Learning. Acta Automatica Sinica.2019.
Jian-wei Liu. Theory of Generative Adversarial Learning. Chinese Journal of Computers.2019
Jian-wei Liu.Modeling with Deep Sum-Product Networks. Chinese Journal of Computers.2019
Jian-wei Liu. Deep Generative Model.Chinese Journal of Computers.2019
Jian-wei Liu. Modeling via Deep Word Embedding. Chinese Journal of Computers.2019.
Jian-wei Liu. Deep recurrent Neural Networks. Acta Automatica Sinica.2019.
Jian-wei Liu.Deep Convolutional Neural Networks. Acta Automatica Sinica.2019.
Lu-ning Zhang, Jian-wei Liu, Xin Zuo. Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity. 2019
Si-si Zhang, Jian-wei Liu, Xin Zuo. The Improvement of the Algorithm for EG with the Relative Entropy. 2019
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. 2019
Zhi-juan Cao, Jian-wei Liu, Jing Liu. Survey of Provable Nonconvex Algorithms for Matrix Completion, Robust Principal Component Analysis and phase retrieval. 2019
Jian-wei Liu, Xi-hao Ding, Run-kun Lu, Xiong-lin Luo.Multi-View Capsule Net. 2019
Jian-wei Liu, Feng Gao, Run-kun Lu, Xiong-lin Luo, Chu-ran Wang.FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data. 2019
Y Zhang, Jian-wei Liu, X Zuo.Survey of Multi-Task Learning. Chinese Journal of Computers.2019
Jian-wei Liu, XH Ding, XL Luo.Multimodal Deep Learning.Acta Automatica Sinica.2019
Jian-wei Liu, HD Zhao, XL Luo, J Xu .Research Progress on Batch Normalization of Deep Learning and Its Related Algorithms.Acta Automatica Sinica.2019.
Jian-wei Liu, HJ Xie, XL Luo. Research Progress on Application of Generative Adversarial Networks in Various Fields.Acta Automatica Sinica.2019
Jian-wei Liu, YF Wang, XL Luo. Research and Development on Memory Network. Acta Automatica Sinica.2019
R Lu, Jian-wei Liu, S Lian, X Zuo.Multi-Task Multi-View Representation Learning. Neural compution and application.2019
Si-si Zhang,Jian-wei Liu,Xin Zuo and Xin Wan.MRAC-MU Online Learning Algorithm for shell prediction problem.
SS Zhang, X Zuo, Jian-wei Liu.The Problem of the Adversarial Examples in Deep Learning.Chinese Journal of Computers.2019.
L Zhang, Z Xin, Jian-wei Liu.Research and Development on Zero-Shot Learning. Acta Automatica Sinica.2019
Liu Jian-Wei, GAO Feng, Luo Xiong-Lin. Survey of Deep Reinforcement Learning Based on Value Function and Policy Gradient. Chinese Journal of Computers.2019.
S Lian, Jian-wei Liu, R Lu, X Luo.Captured Multi-label Relations via Joint Deep Supervised Autoencoder. Applied Soft Computing Journal.2019
2018年
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
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
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.
S Lian, jianwei liu, R Lu, X Luo.Multi-label Learning via Supervised Autoencoder. The 37th Chinese control conference (CCC2018).2018.
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
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
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, 0142331217741955.2018
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. 2018
2017年
劉建偉,崔立鵬,羅雄麟. 結構稀疏模型.計算機學報, 2017, 40(6): 1309-1338
Jian-wei Liu, J Zhou, MS Kamel, X Luo.Online Learning Algorithm Based on Adaptive Control Theory.IEEE Transactions on Neural Networks and Learning Systems/
X Wang, X Zuo, Jian-wei Liu, H Liang. Robust Observer-based H∞ Control for Uncertain Discrete Time-delay Systems with Nonlinearities Electric-hydraulic System Under HölderCondition.Optimal Control Applications and Methods.
X Wang, X Zuo, Jian-wei Liu, H Liang.Switch Controller for Piecewise Linear System: PID and State Tracking Adaptive Control.
X Wang, Jian-wei Liu, X Zuo, H Liang.Adaptive PID and Mod el Reference Adaptive Control Switch Controller for Nonlinear Hydraulic Actuator.
L Guo, Jian-wei Liu, X Zuo, H Liang.Output-Feedback Tracking Control for a Class of Uncertain Stochastic Nonlinear Systems with Uncertain Parameters for Polynomial Function Growth Conditions.Journal of The Franklin Institute.
L Guo, Jian-wei Liu, H Liang, X Zuo.Practical Output Tracking Control for a Class of Stochastic Nonlinear Systems with Polynomial Function Growth Conditions.Transactions of the Institute of Measurement and Control.
L Guo, Jian-wei Liu, H Liang, X Zuo.Backstepping Control for a Class of Stochastic High-Order Nonlinear Time-Varing Delay System with a Hydraulic Mechanical System.IET Control Theory and Applications.
Jian-wei Liu, Z Ren, FakhriKarray, AlaaKhamis, and X Luo. Discriminant Analysis with Noisy Labels based on Gaussian Mixture Models. IEEE Transactions on Cybernetics.
Jian-wei Liu, Z Ren and X Luo.Drop out the Noisy Labels by Dropout.
Jian-wei Liu, Z Ren and X Luo. Classification with label noise by hierarchical hybrid modeling.
Jian-wei Liu, Zhou J, and X Luo. Online Learning Algorithms for Shifting Experts Problem.
Jian-wei Liu, Shuang-Cheng Li, Li-peng Cui, Xiong-linLuo.Simultaneous classification and feature selection via LOG SVM and Elastic LOG SVM.The 36rd Chinese Control Conference (CCC 2017).
Jian-wei Liu, Li-peng Cui, Xiong-lin Luo.Group variable selection and parameter estimation via Group Berhu method.The 16th International Conference on Machine Learning and Cybernetics (ICMLC 2017).
2016年
劉建偉,崔立鵬,羅雄麟.機率圖模型的稀疏化學習.計算機學報,39(8)：1597-1611
Y Duan, Z Xin, Jian-weiLiu.Asynchronous update based networked predictive control system using a novel proactive compensation strategy.ISA Transactions 60, 164-177.
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.劉建偉, 黎海恩, 周佳佳, 等. 機率圖模型的表示理論綜述[J].電子學報, 2016, 44(5): 1219-1226.
LiuJian-wei, SunZheng-kang, LiuZe-yu, LuoXiong-lin. Domain Adaptation Learning with Kernel Logistic Regression and Kernel Canonical Correlation Analysis. Acta Electronica Sinica, 2016, 44(12): 2908-2915. 劉建偉, 孫正康, 劉澤宇, 羅雄麟. 核典型關聯性分析相關特徵提取與核邏輯斯蒂回歸域自適應學習[J]. 電子學報, 2016, 44(12): 2908-2915.
Jian-wei Liu, L Cui, X Luo.Research and development on Structured Sparse Models and Algorithms.Computer Science ,2016,43(6A):1-16.劉建偉,崔立鵬,羅雄麟.結構稀疏模型及其算法研究進展[J].計算機科學,2016,43(6A):1-16
H Qin, X Zuo, Jian-weiLiu.Some new generalized retarded Gronwall-Like inequalities and their applications in nonlinear systems,Journal of Control Science and Engineering.
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.
Xin Wang, XinZuo, Jianwei Liu, Huaqing Liang, Qi Pan.Robust Discrete-time Control for Uncertain time-delay Systems with Nonlinearities UnderHölder Continuity. The 16th International Conference on Control, Automation and Systems(ICCAS 2016), 2016.10,16-19, 1208-1213.
2015年
劉建偉, 崔立鵬, 劉澤宇, 羅雄麟.正則化稀疏模型.計算機學報, 2015, 38(7):1307-1325
劉建偉,任正平,劉澤宇,黎海恩,羅雄麟.兩兩關係馬爾可夫網的自適應組稀疏化學習.自動化學報, 2015, 41(8):1419-1437.
劉建偉, 崔立鵬, 羅雄麟. 組稀疏模型及其算法綜述. 電子學報, 2015, 43(4): 776-782.
劉建偉,劉媛,羅雄麟.半監督學習方法. 計算機學報, 2015, 38(8):1592-1618.
劉建偉, 崔立鵬, 黎海恩, 等. 機率圖模型推理方法的研究進展.計算機科學, 2015, 42(4): 1-18.
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.
Zhou J, Jian-wei Liu, Luo X. Rademacher complexity bound for domain adaptation regression[C]//Technologies and Applications of Artificial Intelligence (TAAI), 2015 Conference on. IEEE, 2015: 273-280.
Jian-wei Liu, Zhou J, Luo X. Multiple source domain adaptation: A sharper bound using weighted Rademacher complexity[C]//2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2015: 546-553.
Jian-wei Liu, Zhou J, Luo X. Multiple source domain adaptation: A bound using p-norm covering numbers[C]//2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2015: 281-288.
2014年
Jianwei Liu, Yuan Liu. Liu J, Liu Y. Non-integer norm regularization SVM via Legendre–Fenchel duality. Neurocomputing, 2014, 144: 537-545.
劉建偉,黎海恩,羅雄麟. 機率圖模型學習技術研究進展. 自動化學報, 2014, 40(6): 1025-1044.
劉建偉,孫正康,羅雄麟. 域自適應學習研究進展. 自動化學報, 2014, 40(8): 1576-1600.
劉建偉,劉媛,羅雄麟.波爾茲曼機研究進展.計算機研究與發展, 2014, 51(1):1-16.(入選F5000中國精品科技期刊頂尖學術論文)
劉建偉,黎海恩,劉媛,付捷,羅雄麟.疊代再權共軛梯度q範數正則化線性最小二乘支持向量機分類算法. 控制理論與套用, 2014, 31(3):334-342.
劉建偉, 黎海恩, 羅雄麟.機率圖模型表示理論.計算機科學, 2014, 41(9):1-17
劉建偉,劉媛,羅雄麟.深度學習研究進展.計算機套用研究, 2014, 31(7): 1921-1930.
Guo Long-chuan, Liu Jian-wei, ZuoXin, 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.
Guo Long-chuan, ZuoXin,LiuJian-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.
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.
Haiyong Qin JianweiLiu,XinZuo, Controllability problem for fractional integrodifferential evolution systems of mixed type with the measure of noncompactness. Journal of Inequalities and Applications, 2014, 292: 1-15.
YinyaoDuan, ZuoXin, 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.
Liu Jianwei, Cui Lipeng, LuoXionglin. Non-integer norm regularized logistic regression.Control and Decision Conference (2014 CCDC), The 26th Chinese. IEEE, 2014: 1333-1338.
Long-ChuanGuo,Hua-Qing Liang,XinZuo,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.
HaiyongQin,XinZuo, Jian-wei Liu, GuoLongchuan. 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.
劉建偉,劉媛,羅雄麟.用於社區檢測的加權非負矩陣三因式分解,計算機工程與設計.2014, 35(12):4284-4288.
2013年
Qin H, Zuo X, Jian-wei Liu. Existence and Controllability Results for Fractional Impulsive Integrodifferential Systems in BanachSpaces.Abstract and Applied Analysis. Hindawi Publishing Corporation, 2013.
Jian-weiLiu,GuoLongchuan, ZuoXin,LiangHuaqing.Output-feedback and inverse optimal control of a class of stochastic nonlinear systems with more general growth conditions. Journal of Applied Mathematics.2013.
Jian-wei Liu, ShuangCheng Li, XionglinLuo.Iterative Reweighted Non-integer Norm Regularizing SVM for Gene Expression Data Classification. Computational and Mathematical Methods in Medicine.2013.
HailongHuang,XinZuo,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.
GuoLongchuan,ZuoXin,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.
Jian-wei Liu, Chi Guang-hui,LIHai-en, Liu Yuan, LuoXiong-lin. Predicting protein structural classes with autoencoder neural networks.Control and Decision Conference (CCDC), 2013 25th Chinese. IEEE, 2013: 1894-1899.
Jian-wei Liu, ChiGuanghui, Liu Zeyu, Liu Yuan, Li Haien, LuoXiongLin. Prediction of protein secondary structure using multilayer feed-forward neural networks. Control and Decision Conference (CCDC), 2013 25th Chinese. IEEE, 2013:1346-1351.
黎海恩,劉建偉,羅雄麟.機率圖模型的變分近似推理.中南大學學報, 2013, 44 (SUPPL.1): 6-11.
Huang Hailong, Jian-wei Liu, ZuoXin, Lp-norm SVM Based on reweighted Minimization with Positive Damped Item. Journal of Theoretical and Applied Information Technology. 2013, 52(2):261-267.
劉建偉, 付捷, 汪韶雷, 羅雄麟.坐標下降l2範數LS-SVM分類算法.模式識別與人工智慧, 2013, 25(5): 474-480.
池光輝,劉建偉,李衛民,羅雄麟.權核Logistic回歸模型的分類和特徵選擇算法.計算機工程與套用,2013, 49 (9): 41-44.
付捷,劉建偉,李雙成,羅雄麟.基於bregman距離和等式約束正則化AdaBoost算法.計算機工程與套用, 2013, 49 (3): 166-170.
劉建偉,黎海恩,劉媛,付捷,羅雄麟. 距離和損失函式約束正則化的AdaBoost算法.計算機工程與套用, 49(15): 133-135.
左信, 黃海龍, 劉建偉. 非凸共軛梯度p範數正則化SVM分類算法. 廣西師範大學學報,2013, 31(3):29-36.
劉建偉, 黎海恩, 劉媛, 付捷, 羅雄麟.疊代再權共軛梯度q範數正則化線性LS-SVM分類算法.第24屆中國過程控制會議, 2013.
劉建偉, 黎海恩, 劉媛, 付捷, 羅雄麟.基於權核非線性SVM特徵選擇算法.第24屆中國過程控制會議, 2013.
Jian-wei Liu, Chi G H, Luo X L. Contrastive divergence learning for the Restricted Boltzmann Machine[C]//Natural Computation (ICNC), 2013 Ninth International Conference on. IEEE, 2013: 18-22.
劉建偉,李雙成,羅雄麟.非近似加更新和乘更新線上分類算法, 計算機學報, 2012,36 (2): 327-340.
研究項目
1．國家重點研發計畫項目基於深水功能艙的全智慧型新一代水下生產系統關鍵技術研究科技部
2．水下控制系統與水下閥門及執行機構關鍵技術，(2011ZX05026-003-01)，十二五重大專項，2011-2015.
3．加拿大合作項目“adaptive data mining algorithms for non-stationary data”
4．加拿大合作項目“Driver Behaviors Recognition for In-Vehicle Environment“
5．中國石油大學（北京）基礎學科研究基金項目：Lp範數(0<p≤2)正則化SVM學習算法及其在生物信息學中的套用研究，負責人
6．2009年10月－2010年6月，國家863項目“深水海管鋪設張緊器等設備集成”，負責控制部分。
7．2010年9月－2011年9月，技術開發項目“安全儀表系統SIL等級評估計算軟體開發”，安穩優科技有限公司。
學術榮譽
1.教育部學位與研究生教育發展中心評審專家
2.北京市自然科學基金評審專家
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 Committeefor the 2nd IEEE International Conference on Agents (ICA 2017). Beijing, China, on July 6-9, 2017.
23.Member of the Technical Program Committeefor 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 Committeefor 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
審稿人
Journal of Algorithms and Computational Technology
Engineering Applications of Artificial Intelligence Impact Factor: 2.368
Transportation Research Part C: Emerging Technologies Impact Factor: 3.075
AMS Mathematical Reviews
IEEE Transactions on Emerging Topics in Computing
ActaMathematicaScientia
Asian Journal of Control
ISA transction
International Journal of Systems Science
IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics
Expert Systems with Applications
ActaAutomaticaSinica
Journal of Zhejiang University
JOURNAL OF VIBRATION AND SHOCK
計算機學報
控制理論與套用
河南大學學報
河北大學學報
浙江大學學報
上海交通大學學報
江西財經大學學報
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.ActaMathematicaScientia
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.ActaAutomaticaSinica
13.Journal of Zhejiang University
14.JOURNAL OF VIBRATION AND SHOCK
15.計算機學報
16.控制理論與套用
17.河南大學學報
18.河北大學學報
19.浙江大學學報
20.上海交通大學學報
21.江西財經大學學報
