Brief CV

Zhi-Hua Zhou

  can be pronounced simply as [Jihua Joe]

Professor, Computer Science and Artificial Intelligence, Nanjing University, China

Fellow of the ACM, AAAI, AAAS, IEEE et al.




Zhi-Hua Zhou


Rm 920, Computer Science Building, Nanjing University Xianlin Campus    


National Key Laboratory for Novel Software Technology




Nanjing University, Xianlin Campus Mailbox 603




163 Xianlin Avenue, Qixia District



Nanjing 210023, China


zhouzh at nju dot edu dot cn  or  zhouzh at lamda dot nju dot edu dot cn or at

   (if email to my university account lost, please cc to my Gmail which can be occasionally checked)

[Interest] [Career] [Award] {Activity} {Publication} [Course] {Student} {LAMDA Group}

Research Interest

Research is for curiosity and fun, though practical implications can emerge.

I am interested in general machine learning and data mining technologies and theoretical underpinnings. During the past decades I have been working on the following topics:

Some of the above topics are still in my concern, some faded out, while some new ones come in:

  • Open-environment machine learning
  • Machine learning + logic reasoning
  • Learnware
  • ......

周志华 著.机器学习,北京:清华大学出版社,2016. (ISBN 978-7-302-42328-7), with English version; Japanese version; Korean version

周志华, 王魏, 高尉, 张利军 著.机器学习理论导引,北京:机械工业出版社,2020. (ISBN 978-7-111-65424-7)


Z.-H. Zhou. Ensemble Methods: Foundations and Algorithms, Boca Raton, FL: Chapman & Hall/CRC, 2012. (ISBN 978-1-439-830031), with Japanese version; 中文版

Z.-H. Zhou, Y. Yu, C. Qian. Evolutionary Learning: Advances in Theories and Algorithms, Berlin: Springer, 2019. (ISBN 978-981-13-5955-2); 中文版

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Main Positions:    

Cheung Kong Professor

(appointed by the Ministry of Education of China)

Department of Computer Science & Technology, Nanjing University, China

Mar. 2007 -


Department of Computer Science & Technology, Nanjing University, China

Nov. 2003 -

Administrative Positions:    


School of Artificial Intelligence, Nanjing University, China

Mar. 2018 -


Department of Computer Science and Technology, Nanjing University, China

Jan. 2018 -

Deputy Head

Department of Computer Science and Technology, Nanjing University, China

May 2013 - Jan. 2018

Standing Deputy Director

National Key Laboratory for Novel Software Technology, Nanjing University, China

Nov. 2010 -

Founding Director

Institute of Machine Learning and Data Mining (LAMDA), Nanjing University, China

Nov. 2007 -


AI Lab, Department of Computer Science & Technology, Nanjing University, China

May 2002 -

Honorary Positions:    

Adjunct Professor

Sichuan University, China

Jan. 2009 - Dec. 2012

Adjunct Professor

Hong Kong University of Science & Technology, China

Jan. 2009 - Dec. 2010

Adjunct Professor

Nanjing University of Aeronautics and Astronautics, China

Jun.2004 - May 2008

Honorary Fellow

Deakin University, Australia

Nov.2002 - Oct.2006

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Award & Honor (international only)

Award (incomplete):

CCF-ACM Artificial Intelligence Award (2020)

Nation Science Review 2019 Best Paper Award

IEEE Computer Society Edward J. McCluskey Technical Achievement Award (2019)

ACML Distinguished Contributions Award (2019)

Academy of Europe Foreign Member (2017)

IEEE Computational Intelligence Magazine 2017 Outstanding Paper Award (with Nitesh V. Chawla, Yaochu Jin, and Graham Williams)

ACM Fellow (2016)

AAAI Fellow (2016)

AAAS Fellow (2016)

IEEE ICDM Outstanding Service Award (2016)

PAKDD Distinguished Contributions Award (2016)

ACM Distinguished Scientist (2013)

IEEE Computational Intelligence Society Outstanding Early Career Award (2013)

IEEE Fellow (2013)

IAPR Fellow (2012)

PAKDD 2012 Data Mining Competition (Open Category) Grand Prize Winner Team Leader (Members: Nan Li, Chao Qian, Shao-Yuan Li, Yue Zhu, Qing Da)

Pattern Recognition Journal 2006-2010 Most Cited Article (with Xiaoyang Tan, Songcan Chen, and Fuyan Zhang)

IET/IEE Fellow (2010)

ISIBM Outstanding Achievement Award (2009)

Keynote/Plenary Speaker (recent incomplete):

CVPR'21 (IEEE Conference on Computer Vision and Pattern Recognition), Jun. 2021, virtual

WSDM'20 (13th ACM International Conference on Web Search and Data Mining), Feb. 2020, Houston, TX, USA

IJCAI'19 (28th International Joint Conference on Artificial Intelligence, Aug. 2019, Macao, China)

AISTATS'19 (22nd International Conference on Artificial Intelligence and Statistics, Apr. 2019, Naha, Japan)

ICPR'18 (24th International Conference on Pattern Recognition, Aug. 2018, Beijing, China)

KSEM'17 (10th International Conference on Knowledge Science, Engineering and Management, Aug. 2017, Melbourne, Australia)

AusAI'16 (29th Australasian Joint Conference on Artificial Intelligence, Dec. 2016, Hobart, Austrlia)

ISNN'16 (13th International Symposium on Neural Networks, Jul. 2016, Saint Petersburgh, Russia)

ICMLA'15 (14th IEEE International Conference on Machine Learning and Applications, Dec. 2015, Miami, FL, USA)

ANNPR'14 (6th IAPR International Workshop on Artificial Neural Networks in Pattern Recognition, Oct. 2014, Montreal, Canada)

ECDA'14 (European Conference on Data Analysis, Jul. 2014, Bremen, Germany)

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Introduction to Machine Learning For undergraduate students
Advanced Machine Learning For graduate students
Introduction to Data Mining For undergraduate students

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Last Modified: April 7, 2024