个人简历

1982-1986，东北师范大学，数学系，理学学士
1986-1989，吉林大学，数学系，理学硕士
1999-2003，东北大学信息工程学院，控制理论与工程，工学博士
1989-1992，大连海事大学 (助教)
1992-1993，大连海事大学 (讲师)
1993-1998，大连海事大学 (副教授)
1998-至今，大连海事大学 (教授)
2001-至今，辽宁省骨干青年教师
2002-2004，大连海事大学，应用数学学科带头人
2003.5-2003.12，加拿大阿尔伯塔大学，电气与计算机工程系，高级访问学者
2004.5-2004.12，澳大利亚柯廷大学，计算机系，客座研究员
2004-至今，辽宁省百千万，百层次
2005-至今，大连理工大学，电信学院，教授，博士生导师
2005.7-至今，澳大利亚柯廷大学，计算机系，客座教授
2007.5-2007.10，澳大利亚柯廷大学，计算机系，研究员
2008.9-2008.12，加拿大阿尔伯塔大学，电气与计算机工程系，客座教授
2008-2009，大连理工大学，自动化系，主任
2009-2016，大连理工大学，电子与信息工程学院，副院长
2009.12，香港理工大学，计算机系，客座教授
2010.5-2010.8，澳大利亚柯廷大学，计算机系，客座研究员
2011.9-2011.12，加拿大阿尔伯塔大学，电气与计算机工程系，客座教授
2013.5-2013.8，加拿大阿尔伯塔大学，电气与计算机工程系，客座教授
2013.8，香港理工大学，计算机系，客座教授
著作成果
Axiomatic Fuzzy Set Theory and Its Applications
科研项目
基于公理模糊集和粒计算的多元动态数据的知识发现与语义表示, 国家自然科学基金, 2016/08/17, 进行
基于模糊认知图和AFS模糊逻辑的数据挖掘技术, 辽宁省自然科学基金, 2006/01/01-2008/12/31, 完成
基于公理模糊集和模糊认知图的模糊多元时间序列分析与预测, 高等学校博士学科点专项科研基金项目, 2011/12/08-2015/05/31, 完成
基于动态数据和模糊认知图的复杂不确定系统建模、分析与控制, 国家自然科学基金, 2011/09/25, 完成
基于公理模糊集理论的模糊机器学习, 国家自然科学基金, 2008/09/25-2011/12/31, 完成
基于数据与知识的制造过程能质流协同运行优化理论与关键技术, 国家自然科学基金, 2018/08/16, 进行
基于因素空间理论的XXX模型研究, 国家重点研发计划（JG）, 2018/02/01, 进行

研究领域

从事知识发现与表示，数据挖掘，知识工程，AFS理论，系统辨识，模糊控制，模糊集与系统，人工智能，机器学习，模式识别与故障诊断，时间序列分析，随机过程，金融数学等领域研究。"Engaged in the study of behavior recognition

近期论文

[1]Mu, Yashuang,Zhang, Ruijun,Wang, Lidong,Liu, Xiaodong.iPseU-Layer: Identifying RNA Pseudouridine Sites Using Layered Ensemble Model[J],INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES,2020,12(2):193-203
[2]Jia, Wenjuan,Xia, Hao,Jia, Lijuan,Deng, Yingjie,Liu, Xiaodong.The selection of wart treatment method based on Synthetic Minority Over-sampling Technique and Axiomatic Fuzzy Set theory[J],BIOCYBERNETICS AND BIOMEDICAL ENGINEERING,2020,40(1):517-526
[3]Mu, Yashuang,Liu, Xiaodong,Wang, Lidong,Zhou, Juxiang.A parallel fuzzy rule-base based decision tree in the framework of map-reduce[J],PATTERN RECOGNITION,2020,103
[4]Pedrycz, Witold,Lu, Wei,Liu, Xiaodong,Wang, Wei,Wang, Lizhong.Human-centric analysis and interpretation of time series: a perspective of granular computing[J],SOFT COMPUTING,2014,18(12):2397-2411
[5]Lu, Wei,Yang, Jianhua,Liu, Xiaodong,Pedrycz, Witold.The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering[J],KNOWLEDGE-BASED SYSTEMS,2014,70(,SI):242-255
[6]Sengar, Shweta,Liu, Xiaodong.An Efficient Load Forecasting in Predictive Control Strategy Using Hybrid Neural Network[J],JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS,2020,29(1)
[7]Li, Yi,Liu, Xiaodong.Maximum similarity degree for 2D fuzzy face recognition[A],2017,2018-January:1-6
[8]Luo, Rui,Liu, Xiaodong,Ren, Yan,Ao, Tianci,Xi, Jie.Road extraction based on KFCM clustering and morphological operations[A],2018,980-985
[9]Ao, Tianci,Liu, Xiaodong,Ren, Yan,Luo, Rui,Xi, Jie.An approach to scene matching algorithm for UAV autonomous navigation[A],2018,996-1001
[10]Li, Yi,Liu, Xiaodong.Maximum Similarity Degree for 2D Fuzzy Face Recognition[A],2017
[11]Gu, Lanlan,Guo, Hongyue,Liu, Xiaodong.Fuzzy time series forecasting based on information granule and neural network[J],International Journal of Computational Science and Engineering,2017,15(1-2):146-152
[12]Deng, Yingjie,Liu, Xiaodong,Xin, Chenyang,Jia, Wenjuan.An interpretable classifier with linear discriminant analysis based on AFS theory[A],2019,2019-July:7583-7588
[13]Guo, Hongyue,Wang, Lidong,Liu, Xiaodong.Dynamic time alignment kernel-based fuzzy clustering of non-equal length vector time series[J],INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2019,10(11):3167-3179
[14]Mu, Yashuang,Liu, Xiaodong,Wang, Lidong,Asghar, Aamer Bilal.A parallel tree node splitting criterion for fuzzy decision trees[J],CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2019,31(17)
[15]Zhou, Juxiang,Liu, Xiaodong,Gan, Jianhou.Exploiting best practice of deep CNNs features for national costume image retrieval[J],International Journal of Performability Engineering,2018,14(4):621-630
[16]Xin, Chenyang,Liu, Xiaodong,Deng, Yingjie,Lang, Qi.An optimization algorithm based on text clustering for warehouse storage location allocation[A],2019
[17]Guo, Hongyue,Pedrycz, Witold,Liu, Xiaodong.Fuzzy time series forecasting based on axiomatic fuzzy set theory[J],NEURAL COMPUTING & APPLICATIONS,2019,31(8):3921-3932
[18]冯兴华,刘晓东,刘亚清.基于模糊概念相似性与模糊熵度量的模糊分类算法[J],大连理工大学学报,2014,54(2):240-245
[19]Yang, Feisheng,Zhang, Huaguang,Jiang, Bin,Liu, Xiaodong.Adaptive reconfigurable control of systems with time-varying delay against unknown actuator faults[J],INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING,2014,28(11):1206-1226
[20]Zhou, Juxiang,Liu, Xiaodong,Liu, Wanquan,Gan, Jianhou.Image retrieval based on effective feature extraction and diffusion process[J],MULTIMEDIA TOOLS AND APPLICATIONS,2019,78(5):6163-6190
[21]Lu, Wei,Shan, Dan,Pedrycz, Witold,Zhang, Liyong,Yang, Jianhua,Liu, Xiaodong.Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on Hyperbox[J],IEEE TRANSACTIONS ON FUZZY SYSTEMS,2019,27(4):775-789
[22]Hu, Guolin,Liu, Xiaodong,Wang, Likui,Li, Hongxing.Further study on local analysis of continuous-time T-S fuzzy models with bounded disturbances[J],IET CONTROL THEORY AND APPLICATIONS,2019,13(3):403-410
[23]Lu, Wei,Zhou, Wei,Shan, Dan,Zhang, Liyong,Yang, Jianhua,Liu, Xiaodong.The linguistic modeling of interval-valued time series: A perspective of granular computing[J],INFORMATION SCIENCES,2019,478:476-498
[24]Guo, Hongyue,Pedrycz, Witold,Liu, Xiaodong.Hidden Markov Models Based Approaches to Long-Term Prediction for Granular Time Series[J],IEEE TRANSACTIONS ON FUZZY SYSTEMS,2018,26(5):2807-2817
[25]Liu, Xiaodong,Jia, Wenjuan,Wang, Yuangang,Guo, Hongyue,Ren, Yan,Li, Zedong.Knowledge discovery and semantic learning in the framework of axiomatic fuzzy set theory[J],WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY,2018,8(5)
[26]Mu, Yashuang,Wang, Lidong,Liu, Xiaodong.A fast rank mutual information based decision tree and its implementation via Map-Reduce[J],CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2018,30(10)
[27]Asghar, Aamer Bilal,Liu, Xiaodong.Estimation of wind speed probability distribution and wind energy potential using adaptive neuro-fuzzy methodology[J],NEUROCOMPUTING,2018,287:58-67
[28]Mu, Yashuang,Liu, Xiaodong,Wang, Lidong.A Pearson's correlation coefficient based decision tree and its parallel implementation[J],INFORMATION SCIENCES,2018,435:40-58
[29]Zhou, Ju-xiang,Liu, Xiao-dong,Xu, Tian-wei,Gan, Jian-hou,Liu, Wan-quan.A new fusion approach for content based image retrieval with color histogram and local directional pattern[J],INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2018,9(4):677-689
[30]Wang, Lidong,Wang, Yanjun,Liu, Xiaodong.Prioritized Aggregation Operators and Correlated Aggregation Operators for Hesitant 2-Tuple Linguistic Variables[J],SYMMETRY-BASEL,2018,10(2)
[31]Asghar, Aamer Bilal,Liu, Xiaodong.Adaptive neuro-fuzzy algorithm to estimate effective wind speed and optimal rotor speed for variable-speed wind turbine[J],NEUROCOMPUTING,2018,272:495-504
[32]胡国林,刘晓东,wang likui,李洪兴.Further study on local analysis of continuous-time T-S fuzzy models with bounded disturbances[J],IET CONTROL THEORY AND APPLICATIONS,2018,13(3):403-410
[33]罗锐,刘晓东,任艳,熬天慈,郗杰.Road extraction based on KFCM clustering and Morphological operations[A],Proceedings of the 30th Chinese Control and Decision Conference,2018
[34]熬天慈,刘晓东,任艳,罗锐,郗杰.An approach to scene matching algorithm for UAV autonomous navigation[A],Proceedings of the 30th Chinese Control and Decision Conference,2018
[35]郭红月, Witold Pedrycz,刘晓东.Fuzzy Time Series Forecasting Based on Axiomatic Fuzzy Set Theory[J],Neural Computing and Applications,2018
[36]周菊香,刘晓东,甘健侯.Image Retrieval based on Effective Feature Extraction and Diffusion Process[J],Multimedia Tools and Applications,2018,1-28
[37]周菊香,刘晓东,甘健侯.Exploiting Best Practice of Deep CNNs Features for National Costume Image Retrieval[J],International Journal of Performability Engineering,2018,14(2):621-630
[38]周菊香,刘晓东,甘健侯.Semantic Affinity Metric based on Axiomatic Fuzzy Set for Content based Image Retrieval[J],Pacific Journal of Optimizations,2018
[39]Hu, Guolin,Liu, Xiaodong,Wang, Likui,Li, Hongxing.An extended approach to controller design of continuous-time Takagi-Sugeno fuzzy model[J],JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2018,34(4):2235-2246
[40]Yang, Bin,Wang, Juan,Liu, Xiaodong.Improved delay-dependent stability criteria for generalized neural networks with time-varying delays[J],INFORMATION SCIENCES,2017,420:299-312
[41]Zhang, Liyong,Zhong, Wanxie,Zhong, Chongquan,Lu, Wei,Liu, Xiaodong,Pedrycz, Witold.Fuzzy C-Means clustering based on dual expression between cluster prototypes and reconstructed data[J],INTERNATIONAL JOURNAL OF APPROXIMATE REASONING,2017,90:389-410
[42]Sun, Zhubin,Liu, Xiaodong,Wang, Lizhu.A hybrid segmentation method for multivariate time series based on the dynamic factor model[J],STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,2017,31(6):1291-1304
[43]Asghar, Aamer Bilal,Liu, Xiaodong.Estimation of wind turbine power coefficient by adaptive neuro-fuzzy methodology[J],NEUROCOMPUTING,2017,238:227-233
[44]Li, Tianhao,Zhang, Liyong,Lu, Wei,Hou, Hui,Liu, Xiaodong,Pedrycz, Witold,Zhong, Chongquan.Interval kernel Fuzzy C-Means clustering of incomplete data[J],NEUROCOMPUTING,2017,237:316-331
[45]Liu, Xiaolin,Liu, Xiaodong,Mu, Yashuang,Yang, Zhihao.Research on Fuzzy Rules Extraction of Futures Trading Based on MapReduce[A],2nd IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA),2017,483-488
[46]Mu, Yashuang,Liu, Xiaodong,Yang, Zhihao,Liu, Xiaolin.A parallel C4.5 decision tree algorithm based on MapReduce[J],CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2017,29(8)
[47]Hu, Guolin,Liu, Xiaodong,Wang, Likui,Li, Hongxing.Relaxed stability and stabilisation conditions for continuous-time Takagi-Sugeno fuzzy systems using multiple-parameterised approach[J],IET CONTROL THEORY AND APPLICATIONS,2017,11(6):774-780
[48]李懿,刘晓东.一种新的模糊稀疏表示人脸识别算法[J],大连理工大学学报,2017,57(2):189-194
[49]Yang, Zhihao,Liu, Xiaodong,Mu, Yashuang,Liu, Xiaolin.A Parallel Fuzzy Rule Discovery Algorithm and Future Goods Automated Trading System[A],PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017),2017,5652-5657
[50]Yang, Hong,Liu, Xiaodong,Zhang, Le.Observer-based tracking control using unmeasurable premise variables for time-delay switched fuzzy systems[J],JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2017,32(6):3973-3985
[51]Guo, Hongyue,Liu, Xiaodong,Sun, Zhubin.Multivariate time series prediction using a hybridization of VARMA models and Bayesian networks[J],JOURNAL OF APPLIED STATISTICS,2016,43(16):2897-2909
[52]Guo, Hongyue,Liu, Xiaodong.Dynamic programming-based optimization for segmentation and clustering of hydrometeorological time series[J],STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,2016,30(7):1875-1887
[53]Wang, Li Kui,Zhang, Hua Guang,Liu, Xiao Dong.H-infinity Observer Design for Continuous-Time Takagi-Sugeno Fuzzy Model With Unknown Premise Variables via Nonquadratic Lyapunov Function[J],IEEE TRANSACTIONS ON CYBERNETICS,2016,46(9):1986-1996
[54]Guo, Hongyue,Sun, Zhubin,Liu, Xiaodong.Multivariate time series segmentation approach based on hidden Markov models[J],ICIC Express Letters,2016,10(6):1427-1433
[55]Sun, Zhubin,Liu, Xiaodong,Guo, Hongyue.A method for constructing the Composite Indicator of business cycles based on information granulation and Dynamic Time Warping[J],KNOWLEDGE-BASED SYSTEMS,2016,101:135-141
[56]Lu, Wei,Zhang, Liyong,Pedrycz, Witold,Yang, Jianhua,Liu, Xiaodong.The granular extension of Sugeno-type fuzzy models based on optimal allocation of information granularity and its application to forecasting of time series[J],APPLIED SOFT COMPUTING,2016,42:38-52
[57]Zhang, Liyong,Lu, Wei,Liu, Xiaodong,Pedrycz, Witold,Zhong, Chongquan.Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values[J],KNOWLEDGE-BASED SYSTEMS,2016,99:51-70
[58]Zhang, Liyong,Lu, Wei,Liu, Xiaodong,Pedrycz, Witold,Zhong, Chongquan,Wang, Lu.A Global Clustering Approach Using Hybrid Optimization for Incomplete Data Based on Interval Reconstruction of Missing Value[J],INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS,2016,31(4):297-313
[59]Wang, Yuangang,Duan, Xiaodong,Liu, Xiaodong,Wang, Cunrui,Li, Zedong.Semantic description method for face features of larger Chinese ethnic groups based on improved WM method[J],NEUROCOMPUTING,2016,175(PartA):515-528
[60]Wang, Li Kui,Peng, Jia Li,Liu, Xiao Dong.H-infinity filtering design for continuous-time Takagi-Sugeno fuzzy model with immeasurable premise variables[J],NEUROCOMPUTING,2016,173:2090-2096
[61]卢伟,张立勇,杨建华,刘晓东.The granular extension of Sugeno-type fuzzy models based onoptimal allocation of information granularity and its application toforecasting of time series[J],Applied Soft Computing,2016,42(-):38-52
[62]Wang, Li Kui,Peng, Jia Li,Liu, Xiao Dong,Zhang, Hua Guang.An approach to observer design of continuous-time Takagi-Sugeno fuzzy model with bounded disturbances[J],INFORMATION SCIENCES,2015,324:108-125
[63]Wang, Weina,Pedrycz, Witold,Liu, Xiaodong.Time series long-term forecasting model based on information granules and fuzzy clustering[J],ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,2015,41:17-24
[64]Wang, Weina,Liu, Xiaodong.Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification[J],INFORMATION SCIENCES,2015,294:78-94
[65]Lu, Wei,Zhang, Liyong,Liu, Xiaodong,Yang, Jianhua,Pedrycz, Witold.A Human-Computer Cooperation Fuzzy c-Means Clustering with Interval-Valued Weights[J],INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS,2015,30(2):81-98
[66]Yang, Hong,Lu, Huanhuan,Liu, Xiaodong.Observer-based tracking control for a class of switched fuzzy systems with fast switching controller[J],TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL,2015,37(2):230-241
[67]Lu, Wei,Chen, Xueyan,Pedrycz, Witold,Liu, Xiaodong,Yang, Jianhua.Using interval information granules to improve forecasting in fuzzy time series[J],INTERNATIONAL JOURNAL OF APPROXIMATE REASONING,2015,57:1-18
[68]王立柱,刘晓东.基于信息颗粒和模糊聚类的时间序列分割[J],模糊系统与数学,2015,29(1):175-182
[69]刘晓东.Dynamic programming-based optimization for segmentation and clustering of[J],Stochastic Environmental Research & Risk Assessment,2015,30(7):1875-1887
[70]Liu, Xiaodong,Wang, Xianchang,Pedrycz, Witold.Fuzzy clustering with semantic interpretation[J],APPLIED SOFT COMPUTING,2015,26:21-30
[71]Guo, Hongyue,Liu, Xiaodong,Song, Lixin.Dynamic programming approach for segmentation of multivariate time series[J],STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,2015,29(1):265-273
[72]Wang, Xianchang,Liu, Xiaodong,Pedrycz, Witold,Zhang, Lishi.Fuzzy rule based decision trees[J],PATTERN RECOGNITION,2015,48(1):50-59
[73]Wang, Xianchang,Liu, Xiaodong,Zhang, Lishi.A rapid fuzzy rule clustering method based on granular computing[J],APPLIED SOFT COMPUTING,2014,24:534-542
[74]Zhang, Liyong,Pedrycz, Witold,Lu, Wei,Liu, Xiaodong,Zhang, Li.An interval weighed fuzzy c-means clustering by genetically guided alternating optimization[J],EXPERT SYSTEMS WITH APPLICATIONS,2014,41(13):5960-5971
[75]Li, Yi,Liu, Xiaodong,Gao, Zhijun.Shadow determination and compensation for face recognition[J],INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2014,5(4):599-605
[76]Qiao, Xinyu,Li, Zhenying,Lu, Wei,Liu, Xiaodong.Data-based Fuzzy Rules Extraction Method for Classification[A],IEEE International Conference on Fuzzy Systems,2014,260-266
[77]Lu, Wei,Pedrycz, Witold,Liu, Xiaodong,Yang, Jianhua,Li, Peng.The modeling of time series based on fuzzy information granules[J],EXPERT SYSTEMS WITH APPLICATIONS,2014,41(8):3799-3808
[78]张红,刘晓东.基于观测器的2D T-S模糊离散系统H∞输出跟踪控制[J],三峡大学学报（自然科学版）,2014,36(3):91-97
[79]Lu, W.,Yang, J.,Liu, X..Numerical Prediction of Time Series Based on FCMs with Information Granules[J],INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL,2014,9(3):313-324
[80]Wang, Lizhu,Liu, Xiaodong,Pedrycz, Witold,Shao, Yongyun.Determination of temporal information granules to improve forecasting in fuzzy time series[J],EXPERT SYSTEMS WITH APPLICATIONS,2014,41(6):3134-3142