基本信息 |
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研究领域 |
张煦尧,博士,副研究员,中国科学院自动化研究所。 |
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主要研究方向为机器学习与模式识别。 | ||
招生信息 | ||
教育背景 | ||
2013年获中国科学院自动化研究所模识识别与智能系统博士学位,2008年获武汉大学计算数学学士学位。 | ||
工作经历 | ||
2013年7月至今在中国科学院自动化研究所模式识别国家重点实验室工作。 | ||
专利与奖励 | ||
出版信息 | ||
1. Xu-Yao Zhang, Yoshua Bengio, Cheng-Lin Liu. Online and offline
handwritten Chinese character recognition: A comprehensive study and new
benchmark. Pattern Recognition, 2017. 2. Xu-Yao Zhang, Lingfeng Wang, Shiming Xiang, Cheng-Lin Liu. Retargeted least squares regression algorithm. IEEE Trans. Neural Networks and Learning Systems (NNLS), 2015. 3. Xu-Yao Zhang, Cheng-Lin Liu. Writer adaptation with style transfer mapping. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 2013. 4. Xu-Yao Zhang, Cheng-Lin Liu. Evaluation of weighted Fisher criteria for large category dimensionality reduction in application to Chinese handwriting recognition. Pattern Recognition, 2013. 5. Xu-Yao Zhang, Cheng-Lin Liu. Style transfer matrix learning for writer adaptation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011. |
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科研活动 | ||
合作情况 | ||