General


General

Xu-Yao Zhang

PhD, Professor

State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS)

Institute of Automation, Chinese Academy of Sciences (CASIA)

95 Zhongguancun East Road, Beijing 100190, P.R. China

Email: xyz@nlpr.ia.ac.cn

Biosketch

Xu-Yao Zhang is a Professor at the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation of Chinese Academy of Sciences, Beijing, China. He received the B.S. degree in computational mathematics from Wuhan University, Wuhan, China, in 2008 and the Ph.D. degree in pattern recognition and intelligent systems from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 2013. He was a visiting researcher at CENPARMI of Concordia University in 2012. From March 2015 to March 2016, he was a visiting scholar at the Montreal Institute for Learning Algorithms (MILA), University of Montreal, Canada. He has served as senior area editor for IEEE Trans. Image Processing and associate editor for Pattern Recognition and Neural Networks. His research interests include pattern recognition, machine learning, deep learning, AI4Science, and OCR.

Selected Publications

  • Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu. Revisiting confidence estimation: Towards reliable failure prediction. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 2024.

  • Yuqi Wang, Xu-Yao Zhang, Cheng-Lin Liu, Tieniu Tan, Zhaoxiang Zhang. Emergence of machine language: Towards symbolic intelligence with neural networks. National Science Review, 2024.

  • Yue Xu, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu. Large-scale continual learning for ancient Chinese character recognition. Pattern Recognition, 2024.

  • Xu-Yao Zhang, Guo-Sen Xie, Xiuli Li, Tao Mei, Cheng-Lin Liu. A survey on learning to reject. Proceedings of the IEEE, 2023.

  • Fei Zhu, Xu-Yao Zhang, Rui-Qi Wang, Cheng-Lin Liu. Learning by seeing more classes. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 2023.

  • Guo-Sen Xie, Xu-Yao Zhang, Tian-Zhu Xiang, Fang Zhao, Zheng Zhang, Ling Shao, Xuelong Li. Leveraging balanced semantic embedding for generative zero-shot learning. IEEE Trans. Neural Networks and Learning Systems (TNNLS), 2023.

  • Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu. Dynamics-aware loss for learning with label noise. Pattern Recognition, 2023.

  • Jiao Zhang, Xu-Yao Zhang, Chuang Wang, Cheng-Lin Liu. Deep representation learning for domain generalization with information bottleneck principle, Pattern Recognition, 2023.

  • Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu. Imitating the oracle: Towards calibrated model for class incremental learning. Neural Networks, 2023.

  • Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu. Adversarial training with distribution normalization and margin balance, Pattern Recognition, 2023.

  • 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), 2022.

  • Xiang Ao, Xu-Yao Zhang, Cheng-Lin Liu. Cross-modal prototype learning for zero-shot handwritten character recognition. Pattern Recognition, 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), 2022.

  • Guo-Sen Xie, Xu-Yao Zhang, Yazhou Yao, Zheng Zhang, Fang Zhao, Ling Shao. VMAN: A virtual mainstay alignment network for transductive zero-shot learning. IEEE Trans. Image Processing (TIP), 2021.

  • Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen. Towards robust pattern recognition: A review. Proceedings of the IEEE, 2020.

  • 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, 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), 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), 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), 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), 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), 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), 2017.

  • Xu-Yao Zhang, Yoshua Bengio, Cheng-Lin Liu. Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark. Pattern Recognition, 2017.

  • Ming-Ke Zhou, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu. Discriminative quadratic feature learning for handwritten Chinese character recognition. Pattern Recognition, 2016.

  • Xu-Yao Zhang, Lingfeng Wang, Shiming Xiang, Cheng-Lin Liu. Retargeted least squares regression algorithm. IEEE Trans. Neural Networks and Learning Systems (TNNLS), 2015.

  • 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.

  • Xu-Yao Zhang, Cheng-Lin Liu. Writer adaptation with style transfer mapping. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 2013.