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, IAPR, IET/IEE, CCF, CAAI


Correspondence

 

Mail:

Zhi-Hua Zhou

Office:

Rm 920, Computer Science Building, Nanjing University Xianlin Campus    

 

National Key Laboratory for Novel Software Technology

Tel:

+86-25-8968-6268

 

Nanjing University, Xianlin Campus Mailbox 603

Fax:

+86-25-8968-6268

 

163 Xianlin Avenue, Qixia District

URL:

http://cs.nju.edu.cn/zhouzh/

 

Nanjing 210023, China

Email:

zhouzh at nju dot edu dot cn  or  zhouzh at lamda dot nju dot edu dot cn or zhouzh.gm at gmail.com

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


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

Research Interest

I have wide research interests, mainly including artificial intelligence, machine learning, data mining, pattern recognition, evolutionary computation and multimedia retrieval, among which machine learning and data mining are my core research areas. I am particularly interested in the problem of how to enable computing machines to handle "ambiguity".

Currently I am interested in the following ML/DM topics:

For applications, I am mainly interested in the following areas:

I am also interested in:

Research is for fun. If I am interested in some other things, the above list will grow; if something in the list does not attract me any more, the above list will shrink. In short, these are just my current interests.

周志华 著.机器学习,北京:清华大学出版社,2016. (ISBN 978-7-302-42328-7) English 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. Evoluionary Learning: Advances in Theories and Algorithms, Berlin: Springer, 2019. (ISBN 978-981-13-5955-2)  中文版

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Career

Main Positions:    

Cheung Kong Professor

(appointed by the Ministry of Education of China)

Department of Computer Science & Technology, Nanjing University, China

Mar. 2007 -

Professor

Department of Computer Science & Technology, Nanjing University, China

Nov. 2003 -

     
Administrative Positions:    

Dean

School of Artificial Intelligence, Nanjing University, China

Mar. 2018 -

Head

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 -

Director

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):

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):

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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Course

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:  Nov. 22, 2020