模式识别、机器学习、深度学习、计算机视觉、文字识别与文档分析

教育经历

2008-2013：中科院自动化所，模式识别与智能系统，博士 （导师：刘成林研究员），CCF优博

2004-2008：武汉大学，计算数学，学士，湖北省优秀学士论文

工作经历

2020至今：中国科学院大学，人工智能学院，岗位教师

2016至今：中科院自动化所，模式识别国家重点实验室，副研究员

2015-2016：蒙特利尔大学，国家公派访问学者，Prof. Yoshua Bengio

2013-2016：中科院自动化所，模式识别国家重点实验室，助理研究员

2012：加拿大模式识别与机器智能中心，访问学者，Prof. Ching Y. Suen

学术服务

Associate Editor, IEEE Trans. Image Processing

Associate Editor, Pattern Recognition

Associate Editor, Neurocomputing

中国自动化学会模式识别与机器智能专委会，副秘书长

教学情况

2021秋季，博士生课程，《模式识别与机器学习》，中国科学院自动化所

2021秋季，研究生课程，《模式识别》，中国科学院大学（雁栖湖）

2020秋季，博士生课程，《模式识别与机器学习》，中国科学院自动化所

2020秋季，研究生课程，《模式识别》，中国科学院大学（雁栖湖）

2019秋季，博士生课程，《模式识别与机器学习》，中国科学院自动化所

2019秋季，研究生课程，《模式识别》，中国科学院大学（雁栖湖）

2018夏季，研究生课程，《深度学习在视觉和自然语言处理中的应用》，中国科学院大学（雁栖湖）

2018秋季，博士生课程，《模式识别与机器学习》，中国科学院自动化所  

2018秋季，研究生课程，《模式识别》，中国科学院大学（雁栖湖）

2017夏季，研究生课程，《深度学习在视觉和自然语言处理中的应用》，中国科学院大学（雁栖湖）

2017秋季，博士生课程，《模式识别与机器学习》，中国科学院自动化所

2017秋季，研究生课程，《模式识别》，中国科学院大学（雁栖湖）

2016夏季，研究生课程，《深度学习》，中国科学院大学（雁栖湖）

朱李月华优秀教师奖，2021

吴文俊人工智能优秀青年奖，2020

中科院基础前沿研究计划从0到1原始创新项目，2019

中国科学院大学校级研究生优秀课程，2019

中国科学院青年创新促进会，2019

中国科协青年人才托举工程，2018 

中科院自动化所特聘青年骨干，2017

模式识别国家重点实验室优秀员工，2016

脑科学与智能技术卓越创新中心人才计划，2015

国家公派留学基金，2015

中国计算机学会优秀博士论文，2014

IEEE TPAMI焦点论文，2013

综述论文：

• Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen. Towards robust pattern recognition: A review. Proceedings of the IEEE, vol. 108, no. 6, pp. 894-922, June 2020.
• 张煦尧，刘成林，鲁棒模式识别研究进展，CAA模式识别与机器智能专委会通讯，2020年第2期：1-11，八月，2020.

部分代表性论文：

• Xiang Ao, Xu-Yao Zhang, Cheng-Lin Liu. Cross-modal prototype learning for zero-shot handwritten character recognition. Pattern Recognition, vol. 131, article number 108859, pp. 1-13, November 2022.
• Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Qing Yang, Cheng-Lin Liu. Convolutional prototype network for open set recognition. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), vol. 44, no. 5, pp. 2358-2370, May 2022.
• Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu. Decision-based adversarial attack with frequency mixup. IEEE Trans. Information Forensics and Security (TIFS), vol. 17, pp. 1038-1052, March 2022.
• Wenhao He, Xu-Yao Zhang, Fei Yin, Zhenbo Luo, Jean-Marc Ogier, Cheng-Lin Liu. Realtime multi-scale scene text detection with scale-based region proposal network. Pattern Recognition, vol. 98, article number 107026, pp. 1-14, February 2020.
• Xiao-Bo Jin, Xu-Yao Zhang, Kaizhu Huang, Guang-Gang Geng. Stochastic conjugate gradient algorithm with variance reduction. IEEE Trans. Neural Networks and Learning Systems (TNNLS), vol. 30, no. 5, pp. 1360-1369, May 2019.
• Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu. Multi-oriented and multi-lingual scene text detection with direct regression. IEEE Trans. Image Processing (TIP), vol. 27, no. 11, pp. 5406-5419, November 2018.
• Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, Yoshua Bengio. Drawing and recognizing Chinese characters with recurrent neural network. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 4, pp. 849-862, April 2018.
• Guo-Sen Xie, Xu-Yao Zhang, Shuicheng Yan, Cheng-Lin Liu. SDE: A novel selective, discriminative and equalizing feature representation for visual recognition. International Journal of Computer Vision (IJCV), vol. 124, pp. 145-168, September 2017.
• Guo-Sen Xie, Xu-Yao Zhang, Shuicheng Yan, Cheng-Lin Liu. Hybrid CNN and dictionary-based models for scene recognition and domain adaptation. IEEE Trans. Circuits and Systems for Video Technology (TCSVT), vol. 27, no. 6, pp. 1263-1274, June 2017.
• Xu-Yao Zhang, Guo-Sen Xie, Cheng-Lin Liu, Yoshua Bengio. End-to-end online writer identification with recurrent neural network. IEEE Trans. Human-Machine Systems (THMS), vol. 47, no. 2, pp. 285-292, April 2017.
• Xu-Yao Zhang, Yoshua Bengio, Cheng-Lin Liu. Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark. Pattern Recognition, vol. 61, pp. 348-360, January 2017.
• Lingfeng Wang, Xu-Yao Zhang, Chunhong Pan. MSDLSR: Margin scalable discriminative least squares regression for multicategory classification. IEEE Trans. Neural Networks and Learning Systems (TNNLS), vol. 27, no. 12, pp. 2711-2717, December 2016.
• Ming-Ke Zhou, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu. Discriminative quadratic feature learning for handwritten Chinese character recognition. Pattern Recognition, vol. 49, pp. 7-18, January 2016.
• Xu-Yao Zhang, Lingfeng Wang, Shiming Xiang, Cheng-Lin Liu. Retargeted least squares regression algorithm. IEEE Trans. Neural Networks and Learning Systems (TNNLS), vol. 26, no. 9, pp. 2206-2213, September 2015.
• Xu-Yao Zhang, Peipei Yang, Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu. Combination of classification and clustering results with label propagation. IEEE Signal Processing Letters, vol. 21, no. 5, pp. 610-614, May 2014.
• Xu-Yao Zhang, Cheng-Lin Liu. Evaluation of weighted Fisher criteria for large category dimensionality reduction in application to Chinese handwriting recognition. Pattern Recognition, vol. 46, no. 9, pp. 2599-2611, September 2013.
• Xu-Yao Zhang, Cheng-Lin Liu. Writer adaptation with style transfer mapping. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), vol. 35, no. 7, pp. 1773-1787, July 2013. 

部分会议论文：

• Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu. Class-incremental learning via dual augmentation.  Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), Virtual, December 6-14, 2021.
• Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu. Prototype augmentation and self-supervision for incremental learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Online (Nashville, United States), June 19-25, 2021.
• Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu. Semantic-aware video text detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Online (Nashville, United States), June 19-25, 2021.
• Haoru Tan, Chuang Wang, Sitong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu. Proxy graph matching with proximal matching networks. AAAI Conference on Artificial Intelligence (AAAI), Virtual Conference, February 2-9, 2021.
• Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu. Graph-to-graph: Towards accurate and interpretable online handwritten mathematical expression recognition. AAAI Conference on Artificial Intelligence (AAAI), Virtual Conference, February 2-9, 2021.
• Wei Feng, Wenhao He, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu. TextDragon: A end-to-end framework for arbitrary shaped text spotting. International Conference on Computer Vision (ICCV), Seoul, Korea, October 27-November 2, 2019.
• Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu. Image-to-markup generation via paired adversarial learning. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Dublin, Ireland, September 10-14, 2018.
• Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu. Robust classification with convolutional prototype learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, June 18-22, 2018.
• Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu. Deep direct regression for multi-oriented scene text detection. IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.
• Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu. Task-driven feature pooling for image classification. IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, December 13-16, 2015.
• Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu. Feature transformation with class conditional decorrelation. International Conference on Data Mining (ICDM), Dallas, December 7-10, 2013.
• Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu. Pattern field classification with style normalized transformation. International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, July 16-22, 2011.
• Xu-Yao Zhang, Cheng-Lin Liu. Style transfer matrix learning for writer adaptation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, June 21-23, 2011.