祝汉城，男，副教授，硕士生导师。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（包括中科院一区Top期刊/CCF-A类会议10余篇），其中以第一或通信作者在IEEE T-IP，T-CYB，T-MM，T-CSVT和CVPR、ACM MM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；其中有两篇论文入选ESI 1%高被引论文。Google学术引用1210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10件，其中4项授权，担任IEEE T-IP，T-NNLS，T-MM和T-CSVT等国际期刊的审稿人。英文个人主页：https://zhuhancheng.github.io/

教育工作背景：

中国矿业大学            计算机科学与技术学院   副教授                            2023.04 - 至今

中国矿业大学            计算机科学与技术学院   师资博士后（合作导师：周勇教授）  2020.12 - 2023.04

中国矿业大学            信息与通信工程专业     工学博士（导师：李雷达教授）      2017.09 - 2020.12

展讯通信(上海)有限公司  平台软件部门           Camera软件工程师                  2015.07 - 2017.06

中国矿业大学            信息与通信工程专业     工学硕士（导师：李雷达教授）      2012.09 - 2015.06

主持科研项目：

1. 国家自然科学基金青年项目，项目号：62101555，执行期：2022.01-2024.12.

2. 江苏省自然科学基金青年项目，项目号：BK20210488，执行期：2021.07-2024.06.

3. 中国博士后科学基金面上资助，项目号：2022M713379，执行期：2022.07-2024.06.

4. 中央高校基本科研业务费项目，项目号：2021QN1071，执行期：2021.01-2022.12.

代表性学术论文：

1. Hancheng Zhu, Zhiwen Shao, Yong Zhou, Guangcheng Wang, Pengfei Chen, and Leida Li. “Personalized image aesthetics assessment with attribute-guided fine-grained feature representation,” in ACM International Conference on Multimedia (ACM MM), 2023, pp. 6794-6802. (CCF-A，多媒体领域顶级国际会议)

2. 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=7.3, Top期刊，高被引论文)

3. 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=11.8, Top期刊，高被引论文)

4. 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=8.4, Top期刊)

5. 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), 2020, pp. 14143-14152. (CCF-A，人工智能领域顶级国际会议)

6. 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=10.6, Top期刊)

7. Guanyu Zhu, Yong Zhou, Rui Yao, and Hancheng Zhu*(通信作者). “Information gap narrowing for point cloud few-shot segmentation,”  IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2023.3338144, 2023. (CCF-B, 中科院一区, IF=8.4, Top期刊)

8. 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)

9. 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=5.1)

10. 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二区, IF=2.6)

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=3.1)

12. Hancheng Zhu, Leida Li, Sicheng Zhao, and Hongyan Jiang. “Evaluating attributed personality traits from scene perception probability,” Pattern Recognition Letters, vol. 116, pp. 121–126, 2018. (CCF-C，JCR二区, IF=5.1)

13. Leida Li, Hancheng Zhu*(通信作者), Sicheng Zhao, Guiguang Ding, Hongyan Jiang, and Allen Tan. “Personality driven multi-task learning for image aesthetic assessment,” in IEEE Conference on Multimedia and Expo, 2019, pp. 430–435. (CCF-B, 口头报告)

14. Zhiwen Shao, Yong Zhou, Jianfei Cai, Hancheng Zhu, and Rui Yao. “Facial Action Unit Detection via Adaptive Attention and Relation,” IEEE Transactions on Image Processing, vol. 32, pp. 3354-3366, 2023. (CCF-A, 中科院一区, IF=10.6, Top期刊)

15. Guanyu Zhu, Yong Zhou, Rui Yao, and Hancheng Zhu. “Cross-class bias rectification for point cloud few-shot segmentation,”  IEEE Transactions on Multimedia, vol. 25, pp. 9175-9188, 2023. (CCF-B, 中科院一区, IF=7.3, Top期刊)

16. Yuchen Su, Zhiwen Shao, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, and Rui Yao. “TextDCT: arbitrary-shaped text detection via discrete cosine transform mask,” IEEE Transactions on Multimedia, vol. 25, pp. 5030-5042, 2023. (CCF-B, 中科院一区, IF=7.3, Top期刊)

17. Man Zhang, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao, and Hancheng Zhu. “Weakly supervised few-shot semantic segmentation via pseudo mask enhancement and meta learning,”  IEEE Transactions on Multimedia, vol. 25, pp. 7980-7991, 2023. (CCF-B, 中科院一区, IF=7.3, Top期刊)

18. Zhiwen Shao, Yuchen Su, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, and Rui Yao. “CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer,” IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2023.3299087, 2023. (CCF-B, 中科院一区, IF=8.4, Top期刊)

19. Guanyu Zhu, Yong Zhou, Rui Yao, Hancheng Zhu, and Jiaqi Zhao. “Cyclic self-attention for point cloud recognition,”  ACM Transactions on Multimedia Computing, Communications and Applications, vol. 19, no. 1s, pp. 1-19, 2023. (CCF-B，JCR一区, IF=5.1)

20. Guangcheng Wang, Zhongyuan Wang, Baojin Huang, Kui Jiang, Zheng He, Hancheng Zhu, Jinsheng Xiao, and Xin Tian. “Two-stage unsupervised facial image quality measurement,” Information Sciences, vol. 611, pp. 432-445, 2022. (CCF-B, 中科院一区, IF=8.1, Top期刊)

招生信息：

1. 每年招生名额2-3个，欢迎对学术研究有浓厚的兴趣的同学报考；

2. 希望你：诚实守信，勤奋踏实（基本要求），做事严谨认真，精益求精（持续学习），善于独立思考，具有批判性思维（创新能力），熟练掌握深度学习相关框架（Pytorch、Tensorflow等），可以熟练阅读英文文献，有较强的英文写作能力。

招生学科：

计算机相关学科的学术型和专业型硕士

联系方式：

Email：zhuhancheng@cumt.edu.cn