College of Intelligence and Computing
Professor
Vice Dean
huqinghua@tju.edu.cn
B515, Building 55, Peiyang Campus, Tianjin University, Jinnan, Tianjin
Received his B. S., M. S. and Ph.D. degrees from Harbin Institute of Technology, Harbin, China in 1999, 2002 and 2008, respectively. He worked with Harbin Institute of Technology from 2006 to 2011. He also worked as a Postdoctoral Fellow with Department of Computing, The Hong Kong Polytechnic University from 2009 to 2011. He joined School of Computer Science and Technology, Tianjin University in 2012. Now he is a full professor and vice dean of the school.
His research interests are focused on Machine Learning and data mining for classification and regression. He has published more than 150 peer-reviewd papers in IEEE Trans. IJCAI, AAAI, CVPR and ICCV. He once acted as PC Co-Chairs of RSCTC 2010, CRSSC 2012, 2014, RSKT 2014 and ICMLC 2014.
- PhD| Harbin Institute of Technology| Cybernetics| 2008
- M. E.| Harbin Institute of Technology| Power Engineering| 2002
- B. E.| Harbin Institute of Technology| Power Engineering| 1999
- Uncertainty Reasoning
- Machine Learning
- Self-driving Cars
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2009.10-2011.10
Department of Computing | Hong Kong Polytechic University | Post Doctoral Fellow -
2012.4-2017.9
School of Computer Science and Technology | Tianjin University | Vice Dean | Professor -
2006.6-2011.12
School of Energy Science and Engineering | Harbin Institute of Technology | Assistant Professor, Associate Professor
- Papers
- [1] Changzhong Wang, Qinghua Hu, Xizhao Wang, Degang Chen and Yuhua Qian. Feature selection based on neighborhood discrimination index. IEEE Transactions on Neural Networks and Learning Systems. 2017.
- [2] Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinjin Li and Xindong Wu. Streaming feature selection for multi-label learning based on fuzzy mutual information. IEEE Transactions on Fuzzy Systems. 2017
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- [3] Jianqing Liang, Qinghua Hu, Pengfei Zhu and Wenwu Wang. Efficient multi-modal geometric mean metric learning. Pattern Recognition. 2017.
- [4] Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu and Xiaochun Cao. Flexible multi-view simensionality co-reduction. IEEE Transactions on Image Processing. 26(2): 648–659, 2017.
- [5] Qinghua Hu, Lingjun Zhang, Yucan Zhou and Witold Pedrycz. Large-scale multi-modality attribute reduction with multi-kernel fuzzy rough sets. IEEE Transactions on Fuzzy Systems. 2017.
- [6] Jianhua Dai, Qinghua Hu, Hu Hu and Debiao Huang. Neighbor inconsistent pair selection for attribute reduction by rough set approach. IEEE Transactions on Fuzzy Systems. 2017.
- [7] Jianqing Liang, Qinghua Hu, Wenwu Wang and Yahong Han. Semi-supervised online multi-kernel similarity learning for image retrieval. IEEE Transactions on Multimedia. 19(5): 1077–1089, 2016
- [8] Linhao Li, Ping Wang, Qinghua Hu and Sijia Cai. efficient background modeling based on sparse representation and outlier iterative removal. IEEE Transactions on Circuits & Systems for Video Technology. 26(2): 278–289, 2016.
- [9] Hong Zhao, Pengfei Zhu, Ping Wang and Qinghua Hu. Hierarchical feature selection with recursive regularization. In: IJCAI 2017. 2017.
- [10] Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu and Xiaochun Cao. Latent multiview subspace clustering. In: CVPR 2017. 2017
- [11] Jianhua Dai, Hu Hu, Qinghua Hu, Wei Huang, Nenggan Zheng and Liang Liu. Locally Linear Approximation Approach for Incomplete Data. IEEE Transactions on Cybernetics. 2017.
- Honors & Awards
- [1] Senior Member, IEEE
- [2] Fellow, International Rough Set Society