谢志华

研究方向：计算机视觉，模式识别，智能信息处理

电子邮箱：xie_zhihua68@aliyun.com

简要介绍：

谢志华，男，中共党员，教授，博士研究生，美国罗切斯特理工大学图像科学中心访问学者。中国计算机学会会员。在Optics Express、Applied Intelligence, Multimedia Tools and Applications 、journal of Electronic imaging、Optical Engineering、中国图象图形学报、计算机科学、小型微型计算机系统等国内外核心刊物发表论文50余篇；主持国家自然科学基金课题3项，省部级课题3项。承担本科生的数据结构、数字图像处理、数学物理方法和研究生的小波变换、机器学习、模式识别等课程的教学

代表成果：

1. Zhihua Xie*, Yi Li, Jieyi Niu, Ling Shi, Zhipeng Wang, and Guoyu Lu, Hyperspectral face recognition based on sparse spectral attention deep neural networks. Optics Express, 2020, 28(24): 36286- 36303.

(Published on: 06 November 2020)

(https://doi.org/10.1364/OE.404793 ).

2. Jieyi Niu，Zhihua Xie*，Yi Li，Sijia Cheng，Jiawei Fan. Scale fusion light CNN for hyperspectral face recognition with knowledge distillation and attention mechanism. 2022,52:6181–6195.

(Published on: 03 September 2021)

(https://doi.org/10.1007/s10489-021-02721-8)

3. Xie Zhihua*, Zong Shua., Li Qiang, Liu Guodong. Interactive residual coordinate attention and contrastive learning for infrared and visible image fusion in triple frequency bands. Sci Rep, 2024,14:90.

(Published on: 03 January 2024)

(https://doi.org/10.1038/s41598-023-51045-9 )

4. Xie Zhihua*, Niu Jieyi, Li Yi. Regularization and attention feature distillation base on light CNN for Hyperspectral face recognition. Multimedia Tools Appl, 2022, 81: 19151–19167.

(Published on:22 January 2021)

(https://doi.org/10.1007/s11042-021-10537-4)

5. Zhihua Xie*, Ling Shi, Sijia Cheng, Jiawei Fan, and Hualin Zhan. Micro-expression recognition based on deep capsule adversarial domain adaptation network. Journal of Electronic Imaging, 2022, 31(1): 013021.

(Published on: 7 February 2022)

(https://doi.org/10.1117/1.JEI.31.1.013021 )