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Xu-Yao Zhang PhD, Associate Professor National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences 95 Zhongguancun East Road, Beijing 100190, P.R. China Email: xyz AT nlpr.ia.ac.cn
Research Interests Pattern Recognition, Machine Learning, Deep Learning, OCR
Education and Research Experiences 2020.01 - Associate Professor, School of Artificial Intelligence, University of Chinese Academy of Sciences. 2016.11 - Associate Professor, Institute of Automation, Chinese Academy of Sciences. 2015.03 - 2016.03 Visiting Scholar, Prof. Yoshua Bengio, University of Montreal, Canada. 2013.07 - 2016.10 Assistant Professor, Institute of Automation, Chinese Academy of Sciences. 2012.09 - 2012.12 Visiting Researcher, Prof. Ching Y. Suen, CENPARMI, Concordia University, Canada. 2008.09 - 2013.07 Ph.D., Institute of Automation, Chinese Academy of Sciences, Beijing, China. 2004.09 - 2008.07 B.S., Wuhan University, Wuhan, China.
Professional Memberships Institute of Electrical and Electronics Engineers (IEEE) Senior Member International Association of Pattern Recognition (IAPR) Member Chinese Association for Artificial Intelligence (CAAI) Member Chinese Association of Automation (CAA) Member China Society of Image and Graphics (CSIG) Senior Member
Awards and Honors Excellent Course for Graduate Students, University of Chinese Academy of Sciences (2019) First Prize of Technology Transfer, Chinese Academy of Sciences (2019) Youth Innovation Promotion Association, Chinese Academy of Sciences (2019) Young Elite Scientists Sponsorship, China Association for Science and Technology (2018) Outstanding Staff, National Laboratory of Pattern Recognition (2016) Chinese Government Scholarship for Studying Abroad (2015) China Computer Federation Outstanding Doctoral Dissertation Award (2014) Spotlight Paper of IEEE Trans. Pattern Analysis and Machine Intelligence (2013)
Teaching Pattern Recognition and Machine Learning, CASIA, Fall 2019, Enrollment: 49 Pattern Recognition, UCAS, Fall 2019, Enrollment: 339 Deep Learning in CV and NLP, UCAS, Summer 2018, Enrollment: 67 Pattern Recognition and Machine Learning, CASIA, Fall 2018, Enrollment: 68 Pattern Recognition, UCAS, Fall 2018, Enrollment: 289 Deep Learning in CV and NLP, UCAS, Summer 2017, Enrollment: 71 Pattern Recognition and Machine Learning, CASIA, Fall 2017, Enrollment: 90 Pattern Recognition, UCAS, Fall 2017, Enrollment: 293 Deep Learning, UCAS, Summer 2016, Enrollment: 315
Selected Publications (Google Scholar) Towards robust pattern recognition: A review. Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen. Proceedings of the IEEE, vol. 108, no. 6, pp. 894-922, June 2020. arXiv
Realtime multi-scale scene text detection with scale-based region proposal network. Wenhao He, Xu-Yao Zhang, Fei Yin, Zhenbo Luo, Jean-Marc Ogier, Cheng-Lin Liu. Pattern Recognition, vol. 98, article number 107026, pp. 1-14, February 2020.
Stochastic conjugate gradient algorithm with variance reduction. Xiao-Bo Jin, Xu-Yao Zhang, Kaizhu Huang, Guang-Gang Geng. IEEE Trans. Neural Networks and Learning Systems (NNLS), vol. 30, no. 5, pp. 1360-1369, May 2019.
Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu. Pattern Recognition, vol. 88, pp. 272-284, April 2019.
Multi-oriented and multi-lingual scene text detection with direct regression. Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu. IEEE Trans. Image Processing (TIP), vol. 27, no. 11, pp. 5406-5419, November 2018.
Drawing and recognizing Chinese characters with recurrent neural network. Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, Yoshua Bengio. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 4, pp. 849-862, April 2018. arXiv
LG-CNN: From local parts to global discrimination for fine-grained recognition. Guo-Sen Xie, Xu-Yao Zhang, Wenhan Yang, Mingliang Xu, Shuicheng Yan, Cheng-Lin Liu. Pattern Recognition, vol. 71, pp. 118-131, November 2017.
SDE: A novel selective, discriminative and equalizing feature representation for visual recognition. Guo-Sen Xie, Xu-Yao Zhang, Shuicheng Yan, Cheng-Lin Liu. International Journal of Computer Vision (IJCV), vol. 124, pp. 145-168, September 2017.
Hybrid CNN and dictionary-based models for scene recognition and domain adaptation. Guo-Sen Xie, Xu-Yao Zhang, Shuicheng Yan, Cheng-Lin Liu. IEEE Trans. Circuits and Systems for Video Technology (CSVT), vol. 27, no. 6, pp. 1263-1274, June 2017.
End-to-end online writer identification with recurrent neural network. Xu-Yao Zhang, Guo-Sen Xie, Cheng-Lin Liu, Yoshua Bengio. IEEE Trans. Human-Machine Systems (THMS), vol. 47, no. 2, pp. 285-292, April 2017.
Xu-Yao Zhang, Yoshua Bengio, Cheng-Lin Liu. Pattern Recognition, vol. 61, pp. 348-360, January 2017. arXiv
MSDLSR: Margin scalable discriminative least squares regression for multicategory classification. Lingfeng Wang, Xu-Yao Zhang, Chunhong Pan. IEEE Trans. Neural Networks and Learning Systems (NNLS), vol. 27, no. 12, pp. 2711-2717, December 2016.
Adaptive spatial pooling for image classification. Yinglu Liu, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu. Pattern Recognition, vol. 55, pp. 58-67, July 2016.
Discriminative quadratic feature learning for handwritten Chinese character recognition. Ming-Ke Zhou, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu. Pattern Recognition, vol. 49, pp. 7-18, January 2016.
Retargeted least squares regression algorithm. Xu-Yao Zhang, Lingfeng Wang, Shiming Xiang, Cheng-Lin Liu. IEEE Trans. Neural Networks and Learning Systems (NNLS), vol. 26, no. 9, pp. 2206-2213, September 2015.
Automatic recognition of serial numbers in bank notes. Bo-Yuan Feng, Mingwu Ren, Xu-Yao Zhang, Ching Y. Suen. Pattern Recognition, vol. 47, no. 8, pp. 2621-2634, August 2014.
Combination of classification and clustering results with label propagation. Xu-Yao Zhang, Peipei Yang, Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu. IEEE Signal Processing Letters, vol. 21, no. 5, pp. 610-614, May 2014.
Xu-Yao Zhang, Cheng-Lin Liu. Pattern Recognition, vol. 46, no. 9, pp. 2599-2611, September 2013.
Writer adaptation with style transfer mapping. Xu-Yao Zhang, Cheng-Lin Liu. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), vol. 35, no. 7, pp. 1773-1787, July 2013.
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