Last Update: 27/05/2010

 
 
Prof. Dr. Xi-zhao Wang, Ph D. Supervisor
  • Head of College of Mathematics & Computer Science of HeBei University
  • Founding Director of Machine Learning and Computer Intelligence Key Laboratory

  • Research Fellow in Department of Computer at Hong Kong Polytechnic University from Sep. 1998 to Sep. 2000

         
  • IEEE Senior Member

  • IEEE SMC Society Board of Governor Member, 2005, 2007-2009

  • IEEE SMC Society Technical Committee on Computational Intelligence Chair

  • Editor-in-Chief of International Journal of Machine Learning and Cybernetics

  • Associate Editor of IEEE Transactions on SMC Part(B)

  • Associate Editor of International Journal of Information Science

  • Associate Editor of International Journal of Pattern Recognition and Artificial Intelligence

  • Member of Chinese Association for Artificial Intelligence (CAAI)

  • Executive member of Machine Learning Society, CAAI

  • Executive member of Rough set and Soft Computing Society, CAAI

  • Chair of Hebei Machine Learning Society  
  • Chair of Hebei Mathematical Modeling Organizing Committee

     
    Xi-zhao Wang
    Head of College of Mathematics & Computer Science of HeBei University
    Founding Director of Machine Learning and Computer Intelligence Key Labortary
    Email:
    xizhaowang@ieee.org
    wangxz@hbu.cn
    Address:
    Xi-zhao Wang ,
    College of Mathmatics and Computer Science,
    Hebei University,
    Baoding 071002, Hebei, China
     
     

    [Papers][Books][Projects][Academic Visits ] [Conferences] [Plenary Talks] [Delived Courses] [Editing] [Awards]

         
    Papers    
      SCI-Expanded Index Papers(2008-present)
      [54] Xi-Zhao Wang and Chun-Ru Dong; Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy; IEEE Transactions on Fuzzy Systems,Vol. 17:3(2009)556-567
      [53] Xi-Zhao Wang, Jun-Hai Zhai and Shu-Xia Lu; Induction of multiple fuzzy decision trees based on rough set technique; Information Sciences, Vol.178(2008)3188-3202
      [52] Xi-Zhao Wang and Chunguo Li; A Definition of partial derivative of random functions and its application to RBFNN sensitivity analysis; Neurocomputing, Vol.71(2008)1515-1526
      [51] Xi-Zhao Wang, Junhai Zhai and Sufang Zhang; A Model of Finite-step Random Walk with Absorbent Boundaries; International Journal of Computer Mathematics,Vol.85(2008)1685-1696
    [50] Xi-Zhao Wang, Feng Guo and Xiang-Hui Gao; Task 2 winner's solution: A Minkowski distance and nearest-unlike-neighbor distance method, within the paper “Qiang Yang, et al, Estimating location using Wi-Fi”; IEEE Intelligent Systems, 23:1(2008)8-13
      [49] Xi-Zhao Wang, Shu-Xia Lu and Jun-Hai Zhai; Fast fuzzy multi-category SVM based on support vector domain description; International Journal of Pattern Recognition and Artificial Intelligences, Vol.22:1(2008)18-30
      [48] Xi-Zhao Wang, Yuan-Yan Tang and Daniel Yeung, Editorial for the special issue; International Journal of Pattern Recognition and Artificial Intelligences, Vol.22:1(2008)1-1
       
      SCI-Expanded Index Papers(1993-2007)
      [47] Shu-Yuan Jin, Daniel Yeung and Xi-Zhao Wang; Internet anomaly detection based on statistical covariance matrix; International Journal of Pattern Recognition and Artificial Intelligences, 21:3 (2007) 591-606
      [46] Daniel Yeung, De-Feng Wang, Wing Ng, Eric Tsang and Xi-Zhao Wang;Structured large margin machines: sensitive to data distribution; Machine Learning, 68 (2007) 171-200
      [45] Daniel Yeung, Wing Ng, Defeng Wang, Eric Tsang, and Xi-Zhao Wang; Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basic Function Neural Network; IEEE Transactions on Neural Networks 18(5) (2007) 1294-1305
      [44] Xi-Zhao Wang and Shuxia Lu; Fuzzy Multi-class Support Vector Machine Based on Improved Support Vector Data Description; International Journal of Dynamics of Discrete, Continuous, and Impulse Systems, Vol. 14(S1) (2007) 187-192
      [43] Li Y, Xi-zhao Wang, Ha MH; An on-line Multi-CBR agent dispatching algorithm; Soft Computing; 11 (1): 1-5;Jan.2007
      [42] Ng WWY, Yeung DS, Wang DF, et al; Localized generalization error of Gaussian-based classifiers and visualization of decision boundaries; Soft Computing; 11 (4):375-381;Feb. 2007
      [41] Xi-Zhao Wang,Sufang Zhang and Junhai Jai; A nonlinear integral defined on partition and its application to decision trees; Soft Computing, Vol. 11 (2007) 317-321
      [40] Liu ZQ, Yeung DS, Xi-zhao Wang, et al., Machine learning techniques: problems and applications; Soft Computing, 11 (4): 309-309; Feb. 2007
      [39] Daniel Yeung, Shu-Yuan Jin and Xi-Zhao Wang; Covariance-matrix modeling and detecting various flooding attacks; IEEE Transactions on Systems, Man, and Cybernetics, Part A (Systems and Humans), 37:2 (2007) 157-169
      [38] Xi-Zhao Wang, Chunru Dong and Tiegang Fan; Training T-S Norm Neural Networks to Refine Weights for Fuzzy IF-THEN Rules;Neurocomputing 70 (2007) 2581-2587
      [37] Xi-Zhao Wang, Eric Tsang, Suyun Zhao, Degang Chen and Daniel Yeung; Learning Fuzzy Rules from Fuzzy Examples Based on Rough Set Techniques; Information Sciences, Vol.177 (2007) 4493-4514
      [36] Chen DG, He Q, Dong CR, et al; A method to construct the mapping to the feature space for the dot product kernels; Lecture Notes in Artificial Intelligence; 3930: 918-929 ;2006
      [35] He Q, Xi-zhao Wang, Chen JF, et al; A parallel genetic algorithm for solving the inverse problem of support vector machines; Lecture Notes in Artificial Intelligence; 3930: 871-879; 2006
      [34] Jin SY, Yeung DS, Xi-zhao Wang, et al; A covariance matrix based approach to Internet anomaly detection; Lecture Notes in Artificial Intelligence; 3930: 691-700; 2006
      [33] Lee JWT, Xi-zhao Wang, Wang JF; Reduction of attributes in ordinal decision systems; Lecture Notes in Artificial Intelligence; 3930: 578-587; 2006
      [32] Xi-zhao Wang, Shen J; Using special structured fuzzy measure to represent interaction among IF-THEN rules; Lecture Notes in Artificial Intelligence; 3930: 459-466; 2006
      [31] Liu ZQ, Yeung D, Wang X, et al; Preface for the special issue; Soft computing in machine learning and cybernetics in the journal Soft Computing; Soft Computing; 10 (1): 1-1; Jan.2006
      [30] Tsang ECC, Xi-zhao Wang; An approach to case-based maintenance: Selecting representative cases; International Journal 0f Pattern Recognition and Artificial Intelligence; 19 (1): 79-89; Feb. 2005
      [29] Chen DG, Tsang ECC, Yeung DS, et al; The parameterization reduction of soft sets and its applications; Computers & Mathematics with Applications; 49(5-6): 757-763; APR-MAY. 2005
      [28] Yeung DS, Chen DG, Tsang ECC, et al; On the generalization of fuzzy rough sets; IEEE Transactions on Fuzzy Systems; 13 (3): 343-361; Jun. 2005
      [27] Xi-zhao Wang, Li CG; A new definition of sensitivity for RBFNN and its applications to feature reductio; Lecture Notes in Computer Science; 3496: 81-86; 2005
      [26] Chen DG, He Q, Xi-zhao Wang; The infinite polynomial kernel for support vector machine; Lecture Notes in Artificial Intelligence; 3584: 267-275; 2005
      [25] Xi-zhao Wang, He Q, Chen DG, et al; A genetic algorithm for solving the inverse problem of support vector machines; Neurocomputing; 68: 225-238; Oct.2005
      [24] Sun CH, Shiu SCK, Xi-zhao Wang; Organizing large case library by linear programming; Lecture Notes in Artificial Intelligence; 3789: 554-564; 2005
      [23] Tsang ECC, Yeung DS, Lee JWT, et al; Refinement of generated fuzzy production rules by using a fuzzy neural network; IEEE Transactions on Systems, Man, and Cybernetics, Part B; 34 (1): 409-418; Feb.2004
      [22] Xi-zhao Wang, Wang YD, Wang LJ; Improving fuzzy c-means clustering based on feature-weight learning; Pattern Recognition Letters; 25 (10): 1123-1132; Jul. 16.2004
      [21] Yeung DS, Xi-zhao Wang, Tsang ECC; Handling interaction in fuzzy production rule reasoning; IEEE Transactions on Systems, Man, and Cybernetics, Part B-Cybernetics; 34 (5): 1979-1987; Oct. 2004
      [20] Xi-zhao Wang, He Q; Enhancing generalization capability of SVM classifiers with feature weight adjustment; Lecture Notes in Computer Science; 3213: 1037-1043; 2004
      [19] Tsang ECC, Yeung DS, Xi-zhao Wang;OFFSS: Optimal fuzzy-valued feature subset selection; IEEE Transactions on Fuzzy Systems; 11 (2): 202-213; Apr. 2003
      [18] Ha MH, Xi-zhao Wang, Yang LZ, et al; Sequences of (S) fuzzy integrable functions; Fuzzy Sets and Systems; 138 (3): 507-522; Sep. 16.2003
      [17] Xi-zhao Wang, Zhao MH, Wang DH; Selection of parameters in building fuzzy decision trees; Lecture Notes in Artificial Intelligence; 2903: 282-292; 2003
      [16] Yeung DS, Xi-zhao Wang; Improving performance of similarity-based clustering by feature weight learning; IEEE Transactions On Pattern Analysis and Machine Intelligence; 24 (4): 556-561;Apr.2002
      [15] Xi-zhao Wang, Yeung DS, Tsang ECC; A comparative study on heuristic algorithms for generating fuzzy decision trees; IEEE Transactions on Systems, Man, and Cybernetics, Part B; 31 (2): 215-226; Apr. 2001
      [14] Shiu SCK, Yeung DS, Sun CH, et al; Transferring case knowledge to adaptation knowledge: An approach for case-base maintenance; Computational Intelligence; 17 (2): 295-314; May. 2001
      [13] Xi-zhao Wang, Wang YD, Xu XF, et al; A new approach to fuzzy rule generation: fuzzy extension matrix; Fuzzy Sets and Systems; 123 (3): 291-306; Nov. 1. 2001
      [12] Shiu SCK, Sun CH, Xi-zhao Wang, et al; Maintaining Case-Based Reasoning systems using fuzzy decision trees; Lecture Notes in Artificial Intelligence; 1898: 285-296; 2001
      [11] Cao GQ, Shiu S, Xi-zhao Wang; A fuzzy-rough approach for case base maintenance; Lecture Notes in Artificial Intelligence; 2080: 118-130; 2001
      [10] Xi-zhao Wang, Zhong ZM, Ha MH; Iteration algorithms for solving a system of fuzzy linear equation; Fuzzy Sets and Systems; 119 (1): 121-128; Apr. 1 .2001
      [9] Xi-zhao Wang, Chen B, Qian GL, et al; On the optimization of fuzzy decision trees; Fuzzy Sets and Systems; 112 (1): 117-125; May. 16 .2000
      [8] Tsang ECC, Xi-zhao Wang, Yeung DS; Improving learning accuracy of fuzzy decision trees by hybrid neural networks; IEEE Transactions on Fuzzy Systems; 8 (5): 601-614; Oct. 2000
      [7] Xi-zhao Wang, Hong JR; Learning optimization in simplifying fuzzy rules; Fuzzy Sets and Systems; 106 (3): 349-356; Sep. 16. 1999
      [6] Xi-zhao Wang, Ha MH ; Note on maxmin mu/E estimation; Fuzzy Sets and Systems; 94 (1): 71-75; Feb. 16. 1998
      [5] Ha MH, Xi-zhao Wang, Wu CX; Fundamental convergence of sequences of measurable functions on fuzzy measure space; Fuzzy Sets and Systems; 95 (1): 77-81; Apr. 1. 1998
      [4] Xi-zhao Wang, Hong JR; On the handling of fuzziness for continuous-valued attributes in decision tree generation; Fuzzy Sets and Systems; 99 (3): 283-290; Nov. 1. 1998
      [3] Ha MH, Xi-zhao Wang; Some notes on the regularity of fuzzy measures on metric spaces; Fuzzy Sets and Systems; 87 (3): 385-387; May. 1. 1997
      [2] Ha MH, Cheng LX, Xi-zhao Wang; Notes on Riesz's theorem on fuzzy measure space; Fuzzy Sets and Systems; 90 (3): 361-363; Sep. 16. 1997
      [1] Xi-zhao Wang, Ha MH; Fuzzy linear-regression analysis; Fuzzy Sets and Systems; 51 (2): 179-188; Oct. 1992
     
     

    Chinese Journal

      [4] Yi-chao He, Xi-zhao Wang, Kun-qi Liu,Yan-qi Liu; Convergent Analysis and Algorithmic Improvement of Differential Evolution; Chinese Journal of Software, Vol.21, No.5, May 2010, pp.875-885. (http://www.jos.org.cn/1000-9825/3486.htm)
      [3]

    Xi-zhao Wang, Jia-rong Hong; Learning algorithm of decision tree generation for interval-valued attributes; Chinese Journal of Software, 9:8( 1998)637-640

      [2]

    Feng Ye, Guang-ri Quan, Xi-zhao Wang; Resolution based most general specialization of theory; Chinese Journal of Computers,22(1999) 1233-1238

      [1] Xi-zhao Wang, Chen-xiao Yang; Merging-Branches Impact on Decision Tree Induction; Chinese Journal of Computers, 30:8(2007) 1251-1258
    [top]    
     
    Books    
           
     
  • Name: Advances in Machine Learning and Cybernetics
          PS: Lecture Notes in Artificial Intelligences 3930
        Editors: Daniel Yeung, Zhi-Qiang Liu, Xizhao Wang and Hong Yan
        Press: Springer-Verlag
        Date: December 2005
           
     
  • Name: Soft Computing,Volume11, Number 4
          PS: A Fusion of foundations, Methodologies and Applications
        Editors: Zhi-Qiang Liu, Daniel Yeung, Xizhao Wang and Eric Tsang
        Press: Springer-Verlag
        Date: February 2007
     
    [top]    
         
    Delived Courses    
     
    Provincial Level Classic Course: Numerical Approximation
     
    Mathematical Analysis, Advanced Algebra, Analytic Genmetry, Numerical Line Algebra, Discrete Equation Programming, Numerical Solution of Nonlinear Equations, Numerical Solution of Differential Equation, Probability Theory & Mathematical Statistics, Linear Statistical inference, Multivariate Statistic, Mathematical Modeling
         
     
    Programming Language: BASIC, FORTRAN, PASCAL, FOXPRO, C/C++, Data Structure, Algorithmic Analysis, Artificial Intelligence Basis, Machine Learning, Neural Networks, Genetic Algorithm
         
     
    Introduction to Fuzzy Set, Fuzzy Measure & Integral, Fuzzy Statistic, Neural Networks & Fuzzy Control, Fuzzy Expert System, Neuro-fuzzy system, Data Mining, Statistical Learning Theory
     
    [top]  
     
     
    Academic Visit    
      Recent Activities  
     
  •  
  • 13-15 April 2010, Evaluation of Key Lab. of Machine Learning & CI in Hebei Prov.
     
  •  
  • 28-31 March 2010, Baoding, CCML2010 paper-review meeting, International Club.
     
  •  
  • 7-21 March 2010, South China Univ., Visiting Yeung/Wing/Patrick Group
     
  •  
  • 18-23 December 2009, Mew Delhi, IIT, India, RSFDGrC2009    
     
  •  
  • 22-25 October 2009, Anhui, HuanShan/Hefei, Evaluation for China Mathematical Modeling Contest
     
  •  
  • 10-18 October 2009, San Antonio, Texas, USA, IEEE SMC2009    
     
  •  
  • 4-8 October 2009, Qinhuangdao, Hebei Mathematical Modeling Contest Evaluation
     
  •  
  • 19-22 August, Baoding workshop of Rough sets
     
  •  
  • 22-24 August, Shijiazhuang, CCRS Conference, Keynote
     
  •  
  • 11-15 July, Baoding, ICML09
     
  •  
  • 22-23 May, Xuzhou, Knowledge Discover conference in China
     
  •  
  • 24-25 May, Jinan, Paper-review conference for CCML 2010
     
  •  
  • 11-15 May, Academic visiting, Zhoushan, Suzhou, Zhejiang, and Yangzhou (Together with Degang Chen)
     
  •  
  • 2-9 December 2008, Tanwan visi, NTUST, Jingwen Univ., Yuanze Univer., (Keynote speaker in 2008 Taiwan consumer eletronics conference, IEEE Distiguished Lecture Program speaker)
     
  •  
  • 31 October - 3 November 2008, Wu-Yi-Shan, The 14th China Conference on Fuzzy systems and Fuzzy mathematics (Keynote speaker)
     
  •  
  • 12-15 October 2008, Singapore, IEEE International Conference on SMC
     
  •  
  • 21-23 September 2008, Hong Kong City Univ., IEEE SMC Distiguished Lecture Program
     
  •  
  • 29-31 August 2008, Hong Kong, ICWAPR08
     
  •  
  • 19-21 August 2008, Xinxiang, The 11th China Rough set conference
     
  •  
  • 3-6 August 2008, Dalian, The 11th China Conference on Machine Learning
     
  •  
  • 12-15 July 2008, Kunming, ICMLC2008
     
  •  
  • 14-15 June 2008, Shijiazhuang, Annual Conference of Hebei Machine Learning Society, SMC-Baoding Chapter meeting, Participants: XZ Wang, FC Li, F Yuan et al.
     
  •  
  • 28-30 March 2008, South-China Polytechnic University Research Meeting
    [top]        
     
  •  
  • Department of Computing, Hong Kong Polytechnic University December 2005 - February 2006
     
  •  
  • Department of Information Science and Technology, Tokyo University   August 6-13, 2005
     
  •  
  • Department of Computing, Hong Kong Polytechnic University   November 2004 - February 2005
     
  •  
  • Department of Computer Science, International University in Germany   October 16-23, 2004
     
  •  
  • Department of Computing, Hong Kong Polytechnic University   June 2004 - August 2004
     
  •  
  • Department of Computing, Hong Kong Polytechnic University   December 2003 - February 2004
     
  •  
  • Department of Computing, Hong Kong Polytechnic University

      July 2002 - November 2002
    [top]        
     
    Conferences    
      Academic Conferences Organized    
      [9] ICWAPR2007 (5th International Conference on Wavelet Analysis and Pattern Recognition) Beijing October 2-4, 2007
      [8] ICMLC2007(6th International Conference on Machine Learning and Cybernetics)
    Hong Kong August 19-22, 2007
      [7] AFSS2006(7th International Conference on Asian Fuzzy System) (Reporter) Baoding September 16-19, 2006
      [6] ICMLC2006(5th International Conference on Machine Learning and Cybernetics) (Reporter) Dalian August 13-16, 2006
      [5] ICMLC2005(4th International Conference on Machine Learning and Cybernetics) Guangzhou August 19-21, 2005
      [4] ICMLC2004(3rd International Conference on Machine Learning and Cybernetics) Shanghai August 26-29, 2004
      [3] ICMLC2003(2nd International Conference on Machine Learning and Cybernetics) Xi'an November 2-5, 2003
      [2] ICMLC2002(1st International Conference on Machine Learning and Cybernetics) Beijing October 3-5, 2002
      [1] 9th Chinese Conference on Fuzzy Systems and Mathematics Baoding August 1998
      Academic Conferences Attented    
      [17] 2007 IEEE International Conference on Systems, Man & Cybernetics Montreal, Quebec, Canada October 7-10, 2007
      [16] CCML2006(10th Chinese Conference on Machine Learning) Haikou October 13-15, 2006
      [15] 13th Chinese Conference on Fuzzy Systems and Mathematics Xi'an October 8-12, 2006
      [14] 2005 Asia-Pacific Workshop on Visual Information Processing
    City University of Hong Kong December 11-13,2005
      [13] CAAI-11(2005 Chinese Association of Artificial Intelligence) East Lake Hotel, Wuhan October 31- November 2 ,2005
      [12] 2005 IEEE International Conference on Systems, Man & Cybernetics
    Hilton Waikoloa Village, Hawaii, USA October 10-12, 2005
      [11] 2005 IFSA World Congress IFSA (A PC member) Tsinghua University, Beijing, China July 28-31, 2005
      [10] 2004 IEEE International Conference on Systems, Man & Cybernetics
    Netherlands Congress Center, The Hague, HOLLAND October 12-15, 2004
      [9] CAAI-10 (2003 Chinese Association of Artificial Intelligence) Dongshan Hotel,Guangzhou November 2003
      [8] CAAI-8 (2002 Chinese Association of Artificial Intelligence)(PC member) Guangzhou December 2002
      [7] 2001 Joint 9th IFSA World Congress and 20th NAFIPS International Conference Vancouver, British Columbia, CANADA July 25-28, 2001
      [6] 2000 IEEE International Conference on Systems, Man & Cybernetics
    Heraton Music City Hotel, Nashville, Tennessee, USA October 8-11,2000
      [5] 1999 IEEE International Conference on Systems, Man & Cybernetics,
    Tokyo International Forum, Tokyo, JAPAN October 12-15,1999
      [4] 7th Chinese Conference on Fuzzy Systems and Mathematics
    Taiyuan August 1994
      [3] 6th Chinese Conference on Fuzzy Systems and Mathematics Huangshan August 1992
      [2] 1990 Sino-Japan Joint Meeting on Advanced Fuzzy Sets and Systems
    Beijing, China October 1990
      [1] 5th Chinese Conference on Fuzzy Systems and Mathematics
    Chengdu August 1990
    [top]        
     
    Plenary Talks    
      [9]

    A Comparative Study on Rule Generation Between Decision-tree-based and Rough-set-based Approaches / Keynote speech in the 9th Conference of China Rough Set and Soft Computing (CRSSC2009) / Hebei Normal University, Shijiazhuang / August 2009

      [8] Sample Selection Based on Maximum Uncertaity / Invited speech in ZheJiang Ocean College, ZhouShan, ZheJiang, China / 10 May 2009
      [7] Sample Selection Based on Maximum Uncertaity / IEEE-SMC Distinguished Lecture Program / National Taiwan University of Science and Technology, Taiwan / 8 December 2008
      [6] Fuzzy Integral and Its Application to Classification / Keynote Speech in 2008 Workshop on Consumer Electronics, Jinwen University of Science and Technology, Taiwan /5 December 2008
      [5] Fuzzy Integral and Its Application to Classification / Keynote Speech in the 14th Chinese Fuzzy Mathematics and Fuzzy Systems, Fujian Wuyi Mountains, China /31 October 2008
      [4] Fuzzy Integral and Its Application to Classification / IEEE-SMC Distinguished Lecture Program /  Hong Kong City University / 22 September 2008
      [3] SVM Inverse Problem and Its Application to Decision Tree Induction / Keynote Speech in 2006 International Conference on Machine Learning and Cybernetics, Dalian, China /15 August 2006
      [2] Information Fusion based on Fuzzy Integrals andIits Application to Classification / Keynote Speech in 2006 Asian Fuzzy Systems Society International Conference, Baoding, China / 18 September 2006
      [1] Theoretical Foundations of Statistical Learning Theory and Research on the Generalization of SVM / Keynote Speech in the 13th Chinese Fuzzy Mathematics and Fuzzy Systems, Shaanxi Normal University, Xi’an, China / 10 October 2006
     
    [top]    
    Projects    
      Funded Projects:Ongoing      
     
    The First Batch of 100 Outstanding Educational Innovation Talents Supporting Programme Hebei Office of Education 2007-2009
     
    Study on the Ability of Weighted Fuzzy Rules Generalization(60473045) (NSF Project)National Nature Science Fund Project 2005-2007
     
    Decision Support System Based on the Fuzzy Rules (04213533) Hebei Science and Technology Department guidance projects 2005-2007
      Funded Projects:Closed      
      [9] Intelligence Power Service System (2003-1554) National Development and Reform Commission Science Foundation-funded projects 2003-2005
      [8] Selection of Fuzzy-value Attribute Feature Subset(603137) Hebei-NSF project 2003-2005
      [7] Fuzzy Neural Networks Theory and its Application in Rule Learning Hebei Province Office of Education Dr. fund project
      [6] Study on the Fuzzy Reasoning with Interaction Terms (03017) The Ministry of Education Science and Technology Research Key project 2002-2004
      [5] Study on Chinese Text Mining and its Application(2002154) Hebei Office of Education Fund project 2002-2004
      [4] Neural Network Integration Based on Fuzzy Integral(RMB25) Hebei University Dr. Fund projects
    2001-2002
      [3] Learning from Examples Theory and Algorithm Based on Fuzzy Information (698139) Hebei-NSF project 1998-2000
      [2] Fuzzy Pattern Recognition and Fuzzy Statistics Hebei University Youth Funding project
    1992-1996
      [1] Fuzzy Optimization Theory and Algorithms Hebei University Youth Funding project
    1992-1996
      Awarded Projects      
      [7] Feature Subset Selection of Fuzzy-valued Attributes
    Hebei Natural Science Advances Award (1st) ,2007 Hebei-NSF project 2003-2005
      [6] Study on the Fuzzy Reasoning and Fuzzy Classification with Interaction Hebei Natural Science Advances Award (3rd), 2007 the Ministry of Education Science and Technology Research Key project and Office of Education project 2002-2004
      [5] Soft Computing Technology and its Application Under the Complex Environment of Uncertainty The Ministry of Education Colleges and Universities Science and Technology Award Natural Science Advances Award (2rd), 2007   2002-2004
      [4] the Mining and application of the information Users access to and the Chinese Text on the Internet
    Hebei Technology Advances Award (3rd),2007 Hebei Office of Eduacation project 2002-2004
      [3] Theory and Algorithm of Learning from Examples based on Fuzzy Information Hebei Natural Science Advances Award (3rd), 2003 Hebei-NSF project 1998-2000
      [2] Quantitative Representation of Inaccurate Information and Uncertainty Database Theory Hebei Technology Advances Award (2rd),1994 Hebei-NSF project 1991-1993
      [1] Mathematical basis of Fuzzy Information Processing
    Hebei Technology Advances Award (2rd),1993 National Nature Science Fund project 1989-1992
      Funded Projects as Co-PI:Ongoing      
     
    Studies on Uncertainty Statistical Learning Theory (60773062)
    National Nature Science Fund project 2008-2010
     
    Pilot Study on Uncertainty Statistical Learning Theory (206012) The Ministry of Education Science and Technology Key project 2006-2008
     
    Studies on Uncertainty Statistical Learning Theory and its Industrial Application (2005001D) Hebei Office of Education Scientific Research Plan Key project 2006-2008
      Funded Projects as Co-PI:Closed      
      [19] Statistical Learning Theory for Uncertain Information (60573069)   National NSF Project 2006-2006
      [18] Studies on Conclusion Ability of Weighted Fuzzy Rules (F2004000129)   Hebei- NSF Project 2004-2006
      [17] Stability Analysis on BSB Neural Networks with Time Delay   Hong Kong RGC Fund Project 2002-2006
      [16] Fuzzy Rules Extraction and Fuzzy Attributes Reduction based on Fuzzy Rough Set   Hong Kong RGC Fund Project (1)
      [15] Statistical Sensitivity Analysis of the Radial Basis Function Networks Trained by the Gradient Descent Method (B.61.37.Q571)   Hong Kong RGC Fund Project (2)
      [14] the Optimal Selection of Fuzzy-value Feature Subset (B.61.37.Q519)   Hong Kong RGC Fund Project (3)
      [13] Studies on the Interaction in Fuzzy Reasoning(2002159)   Hebei Office of Education Fund Project 2002-2004
      [12] Access Information Mining and Application on the Internet(2001206)
      Hebei Office of Education Fund Project 2002-2004
      [11] High-performance Cluster Computer System   Hebei Technology Key project 2002-2004
      [9] An Application of the Fuzzy Technology in the Intelligent Hybrid System(G-YY12)   Hong Kong Polytechnic University Cooperative Research Fund project 1998-2001
      [8] Verifying of Case-based Fuzzy Expert System (PA25)
      Hong Kong Polytechnic University, Department of Computing Research Fund project (1)
      [7] Feature Weight Learning -Maintain Menthod of the Case-based Reasoning System (A-PA88)   Hong Kong RGC Fund project (2)
      [6] The Combination of Case-based Reasoning and Fuzzy Rules Induction and System Maintenance (G-V957)   Hong Kong RGC Fund project (3)
      [5] Fuzzy Reasoning with Interaction Based on Similarity(G-T210)   Hong Kong RGC Fund project (4)
      [4] the Optimal Selection of Fuzzy-value Feature Subset(G-T209)   Hong Kong RGC Fund project (5)
      [3] Fuzzy Control Theory and its Application(97543306D)     1997-1999
      [2] Quantitative Representation of Inaccurate Information and Uncertainty Database Theory Hebei Education Committee Technology Advances Award (2rd),1994 Hebei-NSF project 1991-1993
      [1] Mathematical Basis of Fuzzy Information Processing Hebei Education Committee Technology Advances Award (2rd),1993 National Nature Science Fund project 1989-1992
    [top]          
     
    Editing    
    • Editor-in-Chief of International Journal of Machine Learning and Cybernetics
    • Associate editor of IEEE Transaction on SMC part(B)
    • Associate editor of Information Science
    • Associate editor of Pattern Recognition & Artificial Intelligence
    • Referee of International Journals:
      IEEE Transaction on Fuzzy Systems
      IEEE Transaction on Neural Networks
      Pattern Recognition
      Fuzzy Sets and Systems
      Neurocomputing
      Pattern Recognition and Artificial Intelligence
      Information Science
      INFORMS
      Control and Intelligent Systems
    • Referee of Chinese Journals:
      Software Journal, Chinese Journal of Computers, Chinese Journal of Electronics, Journal of Computer Research and Development, Fuzzy Systems and Mathematics, Journal of Systems Engineering and Electronics
    • General Chair of the 1st-8th International Conference on Machine Learning and Cybernetics
    • Program co-chair of IEEE SMC2009, SMC2010
    • Program Committee Member of Conferences:
      IEEE SMC2004/2005/2006
      CCML 2004/2006
      ADMA2005
      CSCA2005
      GrC2005
      ICNC'05-FSKD'05
      IFSA2005
      VIP2005
      CRSSC2006
    [top]
     
    Awards    
      [10] Hebei Natural Science Advances Award (1st), 2007, for the good completion of Hebei-NSF project: Feature Subset Selection of Fuzzy-valued Attributes
      [9] The Ministry of Education Colleges and Universities Science and Technology Award Natural Science Advances Award (2rd), 2007, for the good completion of Soft Computing Technology and its Applications Under the Complex Environment of Uncertainty
      [8] Hebei Natural Science Advances Award (3rd), 2007, for the good completion of Studies on the Fuzzy Reasoning and Fuzzy Classification with Interaction
      [7]

    Hebei Technology Advances Award (3rd),2007,for the good completion of Hebei Eduacation Office project: the Mining and Application of the Information Users Access to and the Chinese Text

      [6] IEEE SMC Best Associate Editor Award, Accepted in the IEEE International Conference on Systems, Man & Cybernetics, October 8-11, 2006, Taipei, Taiwan, CHINA
      [5] IEEE SMC Outstanding Contribution Award, Accepted in the IEEE International Conference on Systems, Man & Cybernetics, October 12-15, 2004, Netherlands Congress Center, The Hague, HOLLAND
      [4] Hebei Natural Science Advances Award (3rd), 2003, for the good completion of Hebei-NSF project: Theory and Algorithm of Learning from Examples based on Fuzzy Information
      [3] Heilongjiang Technology Advances Award (2rd),2002,for the good completion of the project: Studies on Agricultural Experts System and its Development Tools
      [2] The Education Committee of Hebei Technology Advances Award (2rd),1994, for the good completion of Hebei-NSF project: Quantitative Representation of Inaccurate Information and Uncertainty Database Theory
      [1] The Education Committee of Hebei Technology Advances Award (2rd),1993, for the good completion of National NSF project: Mathematical Basis of Fuzzy Information Processing
     
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