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