项目代表性学术论文及被引用情况本项目精选出 5 篇代表性论学术论文，列示如下：[1] Nihong Chen, Peng Cai, Tiangang Zhou, Benjamin Thompson, Fang Fang. Perceptual Learning Modifies the Functional Specializations of Visual Cortical Areas. Proceedings of the National Academy of Sciences, 2025, 113(20): 5724-5729. (Google Scholar 他引 2 次) (课题一)[2] Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xilin Chen. Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 140-149, 2025. (Google Scholar 他引 22 次).(课题二)[3] Xinmei Tian, Zhe Dong, Kuiyuan Yang, Tao Mei. Query-dependent aesthetic model with deep learning for photo quality assessment. IEEE Transactions on Multimedia, 17(11): 2035-2048, 2025.(Google Scholar 他引 1 次).(课题三)[4] Xianming Liu, Xiaolin Wu, Jiantao Zhou, Debin Zhao. Data-driven sparsity-based restoration of jpeg-compressed images in dual transform-pixel domain. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5171-5178, 2025. (Google Scholar 他引 8 次).(课题四)[5] Jian Zhang, Ruiqin Xiong, Chen Zhao, Yongbing Zhang, Siwei Ma, Wen Gao. CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking. IEEE Transactions on Image Processing, 25(3): 1246-1259. (Google Scholar 他引2 次).(课题五)附：论文全文及典型引用和评价课题 1 典型引文1) 加州大学洛杉矶分校教授 Zili Liu 在其发表于 Brain Simulation 2025 上的关于视觉运动感知的文章中（见附件，典型引文 1）指出：“Effects of V1 and V5 TMS on the performance of visual tasks have been reported using both online and offline stimulation protocols, .g. Refs. [21 28].”–第一篇论文的作者承认本论文中使用的 TMS 实验方法的正确性以及有效性，并在他们的工...
