中国科学院自动化研究所模式识别与智能系统专业博士，中国科学院光电研究院光学工程专业博士后，美国特拉华大学电气与电子工程系国家公派访问学者。IEEE member，OSA member，ACM member。

     研究方向：计算机视觉、计算成像、机器学习。欢迎具有良好代码功底、扎实数理基础的同学联系，共同探索视觉计算领域中的基础理论和工程应用问题。

    产学研平台：北邮-中自苏研院产学研联合研究生培养基地，管理委员会秘书长。

    近期代表论文（*：通讯作者）：

[1] Wei, Min; Zhang, Xuesong*; Super-resolution Neural Operator, The IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023.

[2] Zhang, Qi; Zhang, Xuesong*; Li, Baoping; Chen, Yuzhong; Ming, Anlong; HDA-Net: Horizontal Deformable Attention Network for Stereo Matching, 29th ACM International Conference on Multimedia, MM 2021. Oral

[3] Zhang, Xuesong*; Li, Baoping; Jiang, Jing; Efficient Convolutional Dictionary Learning Using Preconditioned ADMM, International Journal of Pattern Recognition and Artificial Intelligence, 2021, 35(09)：0-2151009.

[4] Baoping, Li; Zhang, Xuesong*; Jing, Jiang; Yuzhong, Chen; Qi, Zhang; Anlong, Ming; High Accuracy Compressive Chromo-Tomography Reconstruction via Convolutional Sparse Coding, IEEE International Conference on Multimedia and Expo (ICME 2020).

[5] Zhang, Xuesong*; Jiang, Jing; Ming, Anlong; Kang, Xuejing; Arce, Gonzalo R.; SPATIO-SPECTRAL MODULATION USING A BINARY PHOTOMASK FOR COMPRESSIVE CHROMOTOMOGRAPHY, 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019).

• [1] 计算机视觉、计算成像、机器学习

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