祝汉城，博士研究生，准聘副教授（已通过岗位学术评价）。博士毕业于中国矿业大学信息与控制工程学院，曾在湿地福利院从事博士后研究工作。
主要研究方向为图像美学质量评估和多媒体情感计算等；发表学术论文40余篇，其中以第一或通信作者在IEEE T-IP，IEEE T-CYB，IEEE T-MM，IEEE T-CSVT和CVPR等国内外高质量学术期刊和国际会议上发表学术论文10余篇；Google学术引用840余次；分别主持国家自然科学基金、江苏省自然科学基金和中国博士后面上项目各一项；参与多项国家自然科学基金和江苏省自然科学基金；申请国家发明专利8件，其中4项授权。
曾获研究生国家奖学金，中国矿业大学优秀创新博士奖学金，中国矿业大学优秀博士论文和优秀毕业生等。
中国图象图形学学会（CSIG）情感计算专委会委员，中国计算机学会（CCF）多媒体专委会会员，担任国际SCI期刊Applied Sciences的客座编辑，担任IEEE T-IP，IEEE T-NNLS，IEEE T-MM和IEEE T-CSVT等国际期刊的审稿人。
主持科研项目：
1. 2022.01-2024.12，融合主客观属性的个性化图像美学评价与自动裁剪研究，国家自然科学基金青年项目.
2. 2021.07-2024.06，以用户为中心的个性化图像美学评价与自动裁剪研究，江苏省自然科学基金青年项目.
3. 2022.07-2024.06，个性化图像美学质量评价与自动裁剪关键技术研究，中国博士后科学基金面上资助.
4. 2021.01-2022.12，面向用户的个性化图像美学评价和裁剪方法研究，中央高校基本科研业务费项目.
近三年发表的代表性学术论文：
1. Hancheng Zhu, Yong Zhou, Leida Li, Yaqian Li, and Yandong Guo. “Learning personalized image aesthetics from subjective and objective attributes,” IEEE Transactions on Multimedia, vol. 25, pp. 179-190, 2023. (CCF-B, 中科院一区, IF=8.182, Top期刊)
2. Hancheng Zhu, Leida Li, Jinjian Wu, Sicheng Zhao, Guiguang Ding, and Guangming Shi. “Personalized image aesthetics assessment via meta-learning with bilevel gradient optimization,” IEEE Transactions on Cybernetics, vol. 52, no. 3, pp. 1798-1811, 2022. (CCF-B, 中科院一区, IF=19.118, Top期刊)
3. Hancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, and Guangming Shi. “Generalizable no-reference image quality assessment via deep meta-learning,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 3, pp. 1048-1060, 2022. (CCF-B, 中科院一区, IF=5.859, Top期刊)
4. 祝汉城, 周勇, 李雷达, 赵佳琦, 杜文亮. 个性化图像美学评价的研究进展与趋势. 中国图象图形学报, 27(10) : 2837-2951,2022. (CCF-B)
5. Hancheng Zhu, Yong Zhou, Rui Yao, Guangcheng Wang, and Yuzhe Yang. “Learning image aesthetic subjectivity from attribute-aware relational reasoning network,” Pattern Recognition Letters, vol. 155, pp. 84-91, 2022. (CCF-C，JCR二区, IF=4.757)
6. Hancheng Zhu, Yong Zhou, Qiaoyue Li, and Zhiwen Shao. “Personality modeling from image aesthetic attribute-aware graph representation learning,” Journal of Visual Communication and Image Representation, vol. 89, p. 103675, 2022. (CCF-C，JCR三区, IF=2.887)
7. Hancheng Zhu, Yong Zhou, Zhiwen Shao, Wen-Liang Du, Guangcheng Wang, and Qiaoyue Li. “Personalized image aesthetics assessment via multi-attribute interactive reasoning,” Mathematics, vol. 10, no. 22, p.4181, 2022. (JCR一区, IF=2.592)
8. Hancheng Zhu, Yong Zhou, Zhiwen Shao, Wen-Liang Du, Jiaqi Zhao, and Rui Yao. “ARET-IQA: an aspect-ratio-embedded transformer for image quality assessment,” Electronics, vol. 11, no. 14, p. 2132, 2022. (JCR三区, IF=2.690)
9. Hancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, and Guangming Shi. “MetaIQA: deep meta-learning for no-reference image quality assessment,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2020, pp. 14143-14152. (CCF-A，人工智能顶级国际会议)
10. Leida Li, Hancheng Zhu*(通信作者), Sicheng Zhao, Guiguang Ding, and Weisi Lin. “Personality-assisted multi-task learning for generic and personalized image aesthetics assessment,” IEEE Transactions on Image Processing, vol. 29, pp. 3898-3910, 2020. (CCF-A, 中科院一区, IF=11.041, Top期刊)
11. Hancheng Zhu, Leida Li, Hongyan Jiang, and Allen Tan. “Inferring personality traits from attentive regions of user liked images via weakly supervised dual convolutional network,” Neural Processing Letters, vol. 51, pp. 2105-2121, 2020. (CCF-C，JCR三区, IF=2.565)
