孙丹阳

职  称

讲师

电 话

13693709995

电子邮件

danyangsun@zzuli.edu.cn

通信地址

郑州市高新区科学大道136号

研究方向

机器学习、计算机视觉、智慧医疗

工作简历

曾就职于京东、河南移动等企事业单位

科研项目

1.国家自然科学基金青年项目C类，2026.01-2028.12，主持

2.郑州轻工业大学博士科研基金项目，2025.03-2028.03，主持

学术及科研成果

1. Danyang Sun, Fadi Dornaika, and Nagore Barrena. " HSMix: Hard and Soft Mixing Data Augmentation for Medical Image Segmentation." Information Fusion (2024): 102741.（CAAI-A，中科院一区Top，IF14.7）

2. Danyang Sun, Fadi Dornaika, and J. Charafeddine. " LCAMix: Local-and-Contour Aware Grid Mixing Based Data Augmentation for Medical Image Segmentation." Information Fusion (2024): 102484.（CAAI-A，中科院一区Top，IF14.7）

3. Danyang Sun, Fadi Dornaika. "Data augmentation for deep visual recognition using superpixel based pairwise image fusion." Information Fusion (2024): 102308.（CAAI-A，中科院一区Top，IF18.6）

4. Fadi Dornaika. andDanyang Sun. "LGCOAMix: Local and Global Context-and-Object-Part-Aware Superpixel-Based Data Augmentation for Deep Visual Recognition." IEEE Transactions on Image Processing 33 (2023): 205-215.（CCF-A，中科院一区Top，IF10.6）

5. Fadi Dornaika.,Danyang Sun, Hammoudi, K., Charafeddine, J., Cabani, A., & Zhang, C. (2023). Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity. Pattern Recognition, 139, 109481.（CCF-A，中科院一区Top，IF8.0）

6. Danyang Sun. and Fadi Dornaika., Vinh  Truong Hoang , N. Barrena. Superpixel Mixing: A Data Augmentation Technique for Robust Deep Visual Recognition Models. International Conf. on Image Processing (IEEEICIP2024, CCF-C, Oral Presentation)

7. Danyang Sun. and Fadi Dornaika. (2024). Image Augmentation Preserving Object Parts Using Superpixels of Variable Granularity.  In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP, ISBN 978-989-758-679-8, ISSN 2184-4321, pages 710-717.  DOI: 10.5220/0012430800003660（VISAPP2024,Oral Presentation）