Zhou Zhihua

Zhou Zhi-Hua
Native name	周志华
Born	November 1973 (age 43)
Residence	Nanjing, China
Nationality	China
Fields	machine learning data mining pattern recognition
Institutions	Nanjing University
Alma mater	Nanjing University (BS 1996; MS 1998; PhD 2000)
Notable awards	AAAS Fellow (2016) AAAI Fellow (2016) IEEE Fellow (2013) IAPR Fellow (2012)
Website cs.nju.edu.cn/zhouzh/

This is a Chinese name; the family name is Zhou.

Zhou Zhi-Hua (Chinese: 周志华; pinyin: Zhōu Zhìhuá; born November 1973)^[1] is Cheung Kong Professor appointed by the Ministry of Education of China, Standing Deputy Director of National Key Laboratory for Novel Software Technology at Nanjing University, and a leading researcher in machine learning, pattern recognition and data mining. He also holds Honorary Fellow in Deakin University and Adjunct Professor in Hong Kong University of Science and Technology.

Biography

Zhou Zhihua born in November 1973. He received his B.Sc. (1996), M.Sc. (1998) and Ph.D. (2000) degrees in computer science, all from Nanjing University. He then joined Nanjing University and now is a professor in Department of Computer Science & Technology.

Awards and honors

2016. AAAS Fellow (Section on "Information, Computing, and Communication"). ^[2]
2016. AAAI Fellow. ^[3]

For significant contributions to ensemble methods and learning from multi-labeled and partially-labeled data.

2013. ACM Distinguished Scientist.^[4]
2013. IEEE Fellow.

For contributions to learning systems in data mining and pattern recognition.

2012. IAPR Fellow.^[5]

For contributions to machine learning, data mining and pattern recognition.

2010. IEE/IET Fellow.

Selected works

Books

Zhou Zhihua (2012). Ensemble Methods: Foundations and Algorithms. Chapman and Hall/CRC. ISBN 978-1-439-83003-1.
周志华 (ZHOU Zhihua) (2016). 机器学习 (Machine learning). 清华大学出版社 (Tsinghua University Press). ISBN 978-7-302-42328-7.

Articles

2013. (with Min-Ling Zhang). A Review on Multi-Label Learning Algorithms. IEEE Transactions on Knowledge and Data Engineering (Volume:26, Issue:8, Pages:1819-1837) DOI:10.1109/TKDE.2013.39
2013. (with Wei Gao). On the doubt about margin explanation of boosting. Artificial Intelligence 203: 1-18.
2008. (with Ross Quinlan, Qiang Yang, Bing Liu, Philip S. Yu and David Hand et al.). Top 10 algorithms in data mining. Knowledge and Information Systems 14.1: 1-37.
2002. (with Jianxin Wu and Wei Tang). Ensembling neural networks: many could be better than all. Artificial Intelligence 137: 239-263.

References

External links

Google Scholar, h-index is 75.

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