刘香圆，理学硕士，工学博士，南方科技大学研究助理教授，深圳国家应用数学中心（NCAMS）-- CT成像工程实验室核心算法成员，中国体视学学会、中国图学学会等高级会员。2023年毕业于北京师范大学人工智能学院，获得工学博士学位。2023至2025年于南方科技大学从事博士后研究工作。其研究以黎曼几何和形状分析理论为牵引，面向计算机视觉任务，涵盖图像与形状分析等方向，主要研究方向包括自然与医学图像处理、计算机图形学、几何形状分析、深度学习等，具体课题涉及图像质量增强、CT图像重建与伪影校正、人脸表情编辑、智能辅助汉字教学、形状配准（Cel动画）、特征学习等。研究成果已发表期刊与会议论文20余篇，包括IEEE TCI、PR、BSPC、OE、CVM、MICCAI、CAGD、《软件学报》等知名期刊和会议。担任Neurocomputing、PR、BSPC、OE等期刊与会议的审稿人，担任国际学术会议ICEDA 2025本地组织委员会主席和分会主席。参与多项国家与省市级重点重大科研项目，申请国内外发明专利10余项。

1. Liu, X., Liuming Yang, Xudong Ru, Shusen Zhao, Fengwei An. “An Intrinsic Regression-Based Method for Eliminating Complex Ring Artifacts in CT Images”. IEEE Transactions on Computional Imaging, 2026, vol. 12, pp. 1510-1525.  (SCI 二区)

2. Liu, X., Wu, Z, Liu, Q., Wang, X., Sole, J. P., Frangi, A., “Patch-based non-local means on discrete shape space of images: joint artifact and noise reduction in magnetic resonance imaging”．Pattern Recognition. 2024, vol.153, pp.110495. (Top 期刊)

3. Liu, X., Wu, Z., Wang, X. “An intrinsic anisotropic feature of DTI images derived by geometric properties on the Riemannian manifold,” Biomedical Signal Processing and Control. 2023, vol.87, pp.105478. (Top 期刊)

4. Liu, X., Zhao, S., Xia, D., Zhang, W., An, F., “Adaptive patch-based ring artifacts removal for photon-counting CT,” Optics Express. 2025, vol.33, pp.18-33.  (SCI 二区)

5. Liu, X., Wu, Z., Wang, X. “A robust intrinsic feature of images derived from the tensor manifold,” Pattern Recognition Letters, 2022, vol.160, pp.73-81.  (SCI 三区)

6. 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. 2022, vol.9, pp.663-656. (SCI 一区)

7. Li, S., Liu, X.*, Zhang, D.,“An Automatic Evaluation Algorithm for Handwritten　Chinese Characters Within the Kendall Shape Space,”in 9th International Conference on Educational Technology Management (ICETM 2026), Shenzhen, CN, Oct. 16-18, 2026. (最佳学生论文(Best student paper))