刘香圆，南方科技大学深圳国家应用数学中心，博士后。2023年毕业于北京师范大学人工智能学院，获工学博士学位。致力于研究黎曼几何理论在图像处理和几何分析中的应用，主要研究领域包含形状分析、自然图像处理、计算机辅助医疗、医学图像处理、几何分析、深度学习等，相关研究成果在国际知名期刊和学术会议上进行发表。参与国家自然科学基金委面上项目、国家重点研发计划、北京市重大项目4项。

(1) Liu, X., Wu, Z., & Wang, X. A robust intrinsic feature of images derived from the tensor manifold. Pattern Recognition Letters. 2022, v.160, pp.73-81.

(2) An intrinsic anisotropic feature of DTI images based on the tensor manifold. Biomedical Signal Processing and Control. 2023, v.87, pp.105437-81.

(3) Liu, X., Wu, Z., & Wang, X. Diffusion tensor image denoising via geometric invariant nonlocal means on the tensor manifold. Multimedia Tools and Applications, 2022, v.10, pp.1-19.

(4) Liu, X., Wu, Z., & Wang, X. The validity analysis of the non-local mean filter and a derived novel denoising method. Virtual Reality and Intelligent Hardware Journal, 2023, v.66, pp.71-86.

(5) Liu, X., Liu, Q., Wu, Z, Wang, X., Sole, J. P.,& Frangi, A. Mixed-model noise removal in 3D MRI via rotation-and-scale invariant non-local means. SIPAIM – MICCAI Biomedical Workshop. Springer, Cham. 2019, pp. 33-41.

(6) Patch-based non-local means on discrete shape space of images: joint artifact and noise reduction in magnetic resonance imaging. Pattern recognition. 2023

(7) Liu, S., Wang, X., Liu, X., Wu, Z., & Seah, H. S., Shape Correspondence for Cel Animation based on Shape Association Graph using Spectral Matching. Computational Visual Media. 2023, v.9, pp. 633–656.

(8) Liu, X.Y., Wang, X.C., Wu, Z.K., Zhang, D., & Liu, X., Extending Ball B-spline by B-spline. Computer Aided Geometric Design. 2020, v.82, pp.1019-1026.

(9) Lv, C., Wu, Z.K., Wang, X., Zhang, D., Liu, X. & M. Zhou, Facial Expression Editing in Face Sketch Using Shape Space Theory, 2018 International Conference on Cyberworlds (CW). 2018，pp.33-40

(10) Zhang, D., Wu, Z.K., Wang, X.C., Lv, C.L., Liu, X., Zhou, M.Q., Survey on Shape Descriptors Based on Spectral Analysis for Non-rigid 3D Shape Matching[J]. Journal of Software, 2019, v.30, pp.2545-2568(in Chinese).