Brief CV

Xizhao Wang (M’03-SM’08-F’12) was a Research Fellow in the Hong Kong Polytechnic University until 2001 after receiving his doctorate degree in 1998. He served as the Dean of Computer Sciences College in Hebei University, China from 2000 to 2014. In 2014, he joined Shenzhen University, China as a professor and a director of the Big Data Institute.

Dr. Wang’s current research interests include uncertainty-aware machine learning and big data analysis. He pioneered the research on Machine Learning in uncertain environment. His research highlights can be briefly summarized as, digging the distribution of (big) data by modeling uncertainty, and then using distributed parallel technology to design and implement classification and clustering algorithms for different tasks in cybernetics. He published several monographs and textbooks, and over 280 research papers at conferences and in journals in the above topics. His works have been cited 11,675 times since 2016 according to Google scholar. He was selected as a Highly Cited Researcher by Clarivate in 2019 and 2020, in recognition of exceptional research performance demonstrated by production of multiple highly cited papers that rank in the cross-field top 1%.

Dr. Wang was a recipient of the Outstanding Contribution Award in 2004 and the Best Associate Editor Award in 2006 from the IEEE SMCS Society. He served as a member of the Governing Boards in the IEEE SMC Society (2007-2009, 2012-2014). He is an IEEE Fellow (2012), a CAAI Fellow (2017), and the Editor-in-Chief of Springer Journal Machine Learning and Cybernetics (from 2010 to present).


1998.09 PhD in Computer Science from Harbin Institute of Technology
1995.09-1996.07 PhD candidate at Dept. of Computer Science in Harbin Institute of Technology
1990.02 Master Degree in Mathematics from Hebei University
1985.09-1987.07 Postgraduate at Department of Mathematics in Shanghai Jiaotong University
1983.07 Bachelor Degree in Mathematics from Hebei University
1979.09-1983.06 Undergraduate at Department of Mathematics in Hebei University


2014.03-now Prof./Doctoral tutor, College of Computer Science & Software Engineering, Shenzhen Univ
2000.10-2014.03 Dean/Prof., School of Mathematics and Computer Sciences, Hebei Univ
1998.09-2001.09 Research Fellow, Dept. of Computing, Hong Kong Polytechnic Univ
1993.07-1998.10 Associate Professor, Dept. of Mathematics, Hebei University
1988.02-1993.06 Lecturer, Dept. of Mathematics, Hebei University
1983.07-1988.01 Teaching Assistant, Dept. of Mathematics, Hebei University


Since September 1983, Prof. Wang has delivered for undergraduates, postgraduates, and PhD candidates 50+ courses including the following: Mathematical Analysis, Linear Algebra, Analytic Geometry, Numerical Algebra, Numerical approximation, Discrete Equations, Numerical Solution of Nonlinear Equations, Numerical Solution of Partially Differential Equations, Probability and Statistics, Linear Model, Multi-variant Statistics, Mathematical Modeling, BASIC, FORTRAN, PASCAL, FOXPRO, C/C++, Data Structure, Algorithm Analysis, Artificial Intelligence, Machine Learning, Neural Networks, Genetic Algorithms, Fuzzy Set Theory, Fuzzy Logic, Fuzzy Measures and Integrals, Fuzzy Statistics, Neural Networks and Fuzzy Control, Fuzzy Expert Systems, Neuro-Fuzzy Systems, Data Mining, Statistical Learning Theory, Rough Set Theory and Its Applications

The course "Numerical Approximation" developed and delivered by Prof. Wang and his team was evaluated a Provincial Demonstration Course in Hebei Province in 2004.

Courses in the second semester in 2020-2021
1. Machine Learning
2. Big Data Application
Courses in the second semester in 2019-2020
1. Machine Learning
2. Big Data Application
Courses in the first semester in 2018-2019
1. Machine Learning
2. Statistical Learning Theory
Courses in the second semester in 2018-2019
1. Machine Learning
2. Statistical Learning Theory
Courses in the first semester in 2017-2018
1. Machine Learning
2. Statistical Learning Theory
Courses in the first semester in 2016-2017
1. Machine Learning
2. Statistical Learning Theory
Courses in the second semester in 2016-2017
1. Matrix Theory
Courses in the first semester in 2015-2016
1. Data warehouse and data mining
Courses in the first semester in 2014-2015
1. Data Mining
2. Statistical Learning Theory

From 1996 – present, Prof. Wang has supervised more than 200 PhD or Mphil graduate students. Some of them have grown up as professors in universities, excellent scholars in related academic fields, and managers in technical companies. A part of their names are listed below.

Prof. Wang was recognized as a Model Teacher in China, issued by Education Ministry of China in April 2009.

Ph.D Candidates Master Degree Candidates(Computer Science)
2023: Qin Wang 2021: Qin Wang, Kaijian Chen
2022: Qiang Liu
2021: Tianlun Zhang
2020: Chao Liu

Graduated Ph.D Students
2019-2023: Computer Science and Technology, Xin-Lei Zhou 2019-2023: Computer Science and Technology, Hufsa Khan
2015-2021: Management Science and Engineering, Yan-Xia Zhao 2017-2020: Computer Science, Salim Rezvani
2017-2020: Computer Science, Muhammed Jamshed Alam Patwary 2015-2018: Computer Science, Hong Zhu
2013-2018: Management Science and Engineering, Shi-Xin Zhao 2012-2017: Management Science and Engineering, Sheng Xing
2015-2017: Communication Engineering discipline point: Aamir Raza Ashfaq 2011-2015: Management Science and Engineering: Ai-Min Fu
2010-2014: Management Science and Engineering: Abdallah Bashir Musa Hme 2009-2014: Optical Engineering: Yu-Lin He
2006-2010: Optical Engineering: Jun-Hai Zhai 2003-2007: Optical Engineering: Shu-Xia Lu

Graduated Master students
Computer Science Mathematics
2020-2023 Si Cen, Guo-Quan Dai (Electronic Information), Xiao-Ying Zou (Electronic Information)
2019-2022 Su-Dong Chen, Si-Hong Chen, Hao-Jing Shen, Cheng-Wei Li (Software Engineering)
2018-2021 Zhong-Wu Xie, Yu-Xuan Luo (Software Engineering)
2017-2020 Lei Hu (Software Engineering), Shu-Yue Chen (Software Engineering), Da-Sen Yan
2015-2018 Hong-Yu Zhu, Peng Yao
2014-2017 Zhi Wang, Xing-Ming Zhao Fan Zhang, Xin-Yi Cui
2013-2016 Tian-Lun Zhang(Software Engineering) Pei-Zhou Zhang
2012-2015 Hong Zhu, Shan-Shan Wang, Dong-Hui Wang
2011-2014 Jian Zhang, Pan Pan Xin Wang, Jian-Kai Chen
2010-2013 Qing Miao, Qing-Yan Shao, Ta Li Meng Zhang, Gui-Qiang Zhang, Hua Li
2009-2012 Ting-Ting Wang, Tie-Song Li, Jian-Guo Wu Fang-Fang Cui, Yan Geng, Li-Jie Bai
2008-2011 Pan Su, Yue Gao, Wen-Liang Li, Bo-Yi Zhao, Zhen-Yu Wang, Li-Li Sun,Hua-Chao Wang, Chen-Yan Bai Jin Zhao, Xiu-Li Zhang, Na-Xin Sun, Gui-En Cao, Jie Meng
2007-2010 Yue Zhang, Sheng-Min Zhang, Chan-Chan Zhang, Xiang-Ran Du, Shuo Wang, Ling-Cai Dong, Jie Chen, Shan Su, Hui-Qin Zhao, Qing-Wu Meng Wei-Yun Yan, Hui-Min Ma, Yan-Zheng Mu, Ying Zhang
2006-2009 Ning Zhang, Bo Wu, Xiang-Hao Pei, Yu-Lin He, Han-Xue Hao, Qian Li,Feng Guo, Hai-Feng Li, Sheng Xing, Qing-Sheng Zhang Huan-Yu Zhao, Cui-Lian Zhou, Li-Hua Wang, Qun-Duo Wu
2005-2008 Li-Mei Feng, Ning Zhang, Wei-Xi Lin, Hai-Bo Wang, Wei-Li Zhang, Dong-Lei Zhao,Jia-Lin Chen, Lian-Lei Huo Xiao-Yan Liu, Jin-Yan Sun, Bin Wu, Yan-Dong Ma,Chun-Yu Feng, Jie Li
2004-2007 Chen-Xiao Yang, Ming-Zhu Lu, Jian-Bing Huo, Jian-Hui Yan, Xiang-Hui Gao, Ning Li, Lei Han, Jie Zhu, Lei Wang Li Zhao, Ai-Xia Chen, Li-Rong Liu, Shao-Hong Li,Guo-Fang Zhang, Feng Yang
2003-2006 Kai Xie, Yan-Jun Dong, Xin Tian, Lei-Fan Yan, Ying Xu, Ya-Qian Zhao,Su-Fang An, Miao Wang, Yan Ha, Lin-Yan Xue, Ya-Hui Xi, Bo-Jun Xie Su-Fang Zhang, Lian-Bao Zhao, Hui Zhang, Xu-Guang Wang, Yu-Fei Zhang, Jun Shen, Chun-Guo Li
2002-2005 Chun-Ru Dong, Guang-Ming Hu, Ji-Guang Rong, Hao Chen, Jing-Hong Wang, Zhi-Jing Feng, Xiao-Ying Lu Hui-Min Feng, Xiao-Jun Wang, Tie-Gang Fan, Jun-Fei Chen, Jing Wu, Yong-Li Su
2001-2004 Zi-Ying You, Han-Ying Zheng, Yong Li, Jing-Bo Xie Su-Yun Zhao, Shi-Xin Zhao, Hua Li, Qun-Feng Zhang
2000-2003 Juan Sun, Yan Zhan, Li-Juan Wang, Hong-Wei Yang, Ming-Hua Zhao, Jin-Feng Wang Qiang He, Hong-Jie Xing
1999-2002 Lan-Zhen Yang, Rui-Xing Wang, Ben Niu
1998-2001 Yan Li, Feng Zhang, Li-Min Wang
1996-1999 Qiang Hua, Dong-Mei Huang

Honors and Awards

Membership and Editorship

IEEE Fellow (2012)
CAAI Fellow (2017)
IEEE-SMC Board of Governor Member (2005, 2007-2009, 2012-2014)
Chair, IEEE-SMC Technical Committee on Computational Intelligence (2005-present)
Chair, IEEE SMC Baoding Chapter (2005-2012)
Editor-in-Chief, Springer Journal Machine Learning and Cybernetics (2010-present)
Associate Editor, IEEE Transactions on Cybernetics (2004-present)
Associate Editor, IEEE Transactions on Fuzzy Systems (2018-present)
Associate Editor, Information Sciences (2006-present)
Associate Editor, Pattern Recognition and Artificial Intelligence (2006-2020)
Editorial Member, Chinese Journal of Fuzzy Systems and Mathematics (2005-presnt)
Executive Member, China Association of Artificial Intelligence (CAAI) (the 7th and the 8th)
Chair, CAAI Technical Committee on Knowledge Engineering (the 8th)
Vice-chair, CAAI Technical Committee on Machine Learning (the 7th)

Selected Keynotes and Talks

Research Projects

Book Chapters and Special Issues

  • [14]
    Special Issue on Integrated Computing: Computational Intelligence Paradigms and Internet of Things for Industrial Applications IEEE Internet of Things Journal (Volume: 5, Issue: 3, June 2018) Guest Editors: Joel J. P. C. Rodrigues; Xizhao Wang; Arun Kumar Sangaiah; Michael Sheng
  • [13]
    Journal of Applied Soft Computing, Special issue title: Applying Machine Learning Systems for IoT Services in Industrial Informatics, Guest editors: Xizhao Wang, Arun Kumar Sangaiah, Michael Sheng, Ongoing
  • [12]
    Journal of Soft Computing, Special issue title: Non-iterative approaches to training feed-forward neural networks and their applications, Guest editors: Xizhao Wang and Arun Kumar Sangaiah, Ongoing
  • [11]
    CCIS (Communications in Computer and Information Science) 481, Springer, The 13 International Conference on Machine Learning and Cybernetics, Lanzhou, China, 13-16.Editors: Xi-zhao Wang, WitoldPedrycz, Patrick Chan and Qiang HeX. Z. Wang, W. Pedrycz, P. Chan, Q. He. Machine Learning and Cybernetics, 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings. Communications in Computer and Information Science, springer, 2014.
  • [10]
    Journal of Intelligent and Fuzzy Systems (JIFS):
Special Issue on Learning from Big Data with Uncertainty (LBDU); Guest Editor: Xi-Zhao Wang, 2015X. Z. Wang. Learning from big data with uncertainty - editorial. Journal of Intelligent & Fuzzy Systems, 2015, 28(5): 2329-2330.
  • [9]
    “Uncertainty in Learning from Big Data”, Special Issue in Int. Journal of Fuzzy Sets and Systems, Elsevier Inc., Edited by Xi-zhao Wang, et al, 2015 Z. Wang, J. Z. X. Huang. Editorial: Uncertainty in learning from big data. Fuzzy Sets and Systems, 2015, 258: 1-4.
  • [8]
    “Uncertainty and Extreme Learning Machine”, Special Issue in International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, World Scientific Publishing Co., Edited by Xi-zhao Wang, et al, 2013 (in progress).X. Z. Wang. Special Issue on Extreme Learning Machine with Uncertainty. Guest editors' introduction. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2013, 21(supp02): v-vi.
  • [7]
    “Intelligent Web Information System and Learning in Uncertain Environments”, Special Issue in Int. Journal of World Wide Web, Springer-Verlag, Edited by Xi-zhao Wang, Hui Wang, 2014.X. Z. Wang, H. Wang. Guest editorial: learning from uncertainty and its application to intelligent systems of web information. World Wide Web, 2014, 17: 1027-1028.
  • [6]
    “Extreme learning machine”, Special Issue of Soft computing, Springer-Verlag, Edited by Xi-zhao Wang, Dianhui Wang, Guangbin Huang, 2011.X. Z. Wang, D. H. Wang, G. B. Huang. Editorial of special issue: ELM2011. 2012, 16(9): 1461-1463.
  • [5]
    “Soft Computing on Machine Learning and Cybernetics”, Special Issue of Soft computing, Springer-Verlag, Edited by Witold Pedrycz, Daniel Yeung, Xi-zhao Wang, 2011.W. Pedrycz, D. Yeung, X. Z. Wang. Recent advances on machine learning and Cybernetics. Soft Computing, 2011, 15(6): 1039-1039.
  • [4]
    “Recent advance in granular computing”, Special Issue of Information sciences, Elsevier Inc., Edited by Daniel, Yeung, Xi-zhao Wang, De-Gang Chen, 2008.D. Yeung, X. Z. Wang, D. G. Chen. Recent advances in granular computing - Preface. Information sciences, 2008, 178: 3161-3162.
  • [3]
    “Learning with fuzzy representation and its application to pattern recognition”, Special Issue of the International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing Co., Edited by Xi-zhao Wang, Y. Y. Tang, Daniel Yeung, 2008. X. Z. Wang, Y. Y. Tang, D. Yeung. Editorial of special issue: Learning under Uncertain Environment and Its Application to Pattern Recognition. International Journal of Pattern Recognition and Artificial Intelligence, 2008, 22(01): 1-2.
  • [2]
    “Machine learning techniques: problems and applications”, Special Issue of Soft computing, Springer-Verlag, Edited by Zhi-Qiang Liu, Daniel So Yeung, Xi-zhao Wang, Eric Tsang, 2006. Z. Q. Liu, D. Yeung, X. Z. Wang, E. Tsang, J. Lee. Preface for the special issue: soft computing in machine learning and cybernetics. Soft Computing, 2006, 10(1): 1-1.
  • [1]
    "Fuzzy Sets Theory and Applications" Chinese Ninth Meeting of Fuzzy Mathematics and Fuzzy Systems Committee Selected Papers Ying-Ming Liu, Cong-Xin Wu, Xi-Zhao Wang 1998

Monographs and Textbooks

  • [6]
    Xizhao Wang and Junhai Zhai, Learning with Uncertainty, CRC Press Talor & Francis Group, 2016 (ISBN 978-1-4987-2412-8).outline
  • [5]
    Xizhao Wang, Junhai Zhai, Induction of decision trees based on uncertainty, China Science Press, 2012(Chinese) (ISBN 978-7-03-03-4635-3)outline
  • [4]
    Xizhao Wang, Fuzzy measures and fuzzy integrals and their applications in Classification, China Science Press, 2008(Chinese) (ISBN 978-7-03-020631-2).outline
  • [3]
    Xizhao Wang, Minghu Ha, Learning from fuzzy examples and fuzzy control, Hebei University Press, 2002(Chinese).
  • [2]
    Xizhao Wang, Probability Theory and Mathematical Statistics, China Science Press, 2009(Chinese) (ISBN 978-7-03-024800-8).outline
  • [1]
    Xizhao Wang, Hao Chen, Yan Zhan, Database theory and its application, Hebei People’s Press, 2005(Chinese).

Published Papers

Recently Accepted Papers

IEEE Papers

Elsevier Papers

Springer Papers

Other Papers

Chinese Papers

Conference Papers

JMLC papers


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