个人资料：
姓名：宋丹
职称：副教授/硕士生导师
学科专业：信息与通信工程(一级学科)/信号与信息处理(二级学科)
通讯地址：bet365官网电气bet365官网与信息工程学院26教学楼D区433
电子信箱： dan.song@5dexam.com
主要经历：
(1) 2021.08-至今 bet365官网，电气bet365官网与信息工程学院，电子信息系，副教授
(2) 2018.09-2021.07 bet365官网，电气bet365官网与信息工程学院，电子信息系，讲师
(3) 2013.09-2018.09 浙江大学，计算机科学与技术学院，直博生
(4) 2015.03-2016.03 英国国家计算机动画中心实验室，访问学者
(5) 2009.09-2013.06 山东大学，软件学院，本科生
主要研究方向：
(1) 虚拟试衣
(2) 计算机图形学
(3) 计算机视觉
(4) 多媒体信息处理
(5) 三维人体重建
主要科研项目：
(1) 2025.3-2027.2 核电安全技术与装备全国重点实验室开放课题，负责人
(2) 2023.10-2025.9 天津市自然科学基金，负责人
(3) 2020.01-2022.12 国家自然科学基金青年项目，负责人
(4) 2021.06-2021.12 中国博士后科学基金特别资助，负责人
(5) 2020.11-2021.11 中国博士后科学基金面上资助，负责人
(6) 2020.01-2020.12 浙江大学CAD&CG国家重点实验室开放课题，负责人
代表性论著、学术著作：
(1) 代表性论文（第一/通信作者）：
[1] Xuanpu Zhang, Dan Song*, Pengxin Zhan, et al. BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR 2025, Accepted. (CCF-A类)
[2] Dan Song, Xuanpu Zhang, Juan Zhou, et al. Image-Based Virtual Try-On: A Survey. International Journal of Computer Vision, IJCV 2024, Accepted. (CCF-A类)
[3] Jianhao Zeng, Dan Song*, Weizhi Nie, et al. CAT-DM: Controllable Accelerated Virtual Try-On with Diffusion Model. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR 2024: 8372-8382 (CCF-A类)
[4] Dan Song, Xuanpu Zhang, Pengxin Zhan, et al. Better Fit: Accommodate Variations in Clothing Types for Virtual Try-on. IEEE Transactions on Circuits and Systems for Video Technology. (2024) Accepted (SCI一区)
[5] Dan Song, Jianhao Zeng, Min Liu, et al. Fashion Customization: Image Generation Based on Editing Clue. IEEE Transactions on Circuits and Systems for Video Technology. 34(6): 4434-4444 (2024). (SCI一区)
[6] Diqiong Jiang, Dan Song*, Ruofeng Tong*, et al. StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR 2023: 352-361. (CCF-A类)
[7] Dan Song, Weizhi Nie, Wenhui Li, et al. Monocular Image-Based 3D Model Retrieval: A Benchmark, IEEE Transactions on Cybernetics, 2022, 52(8): 8114-8127. (SCI一区)
[8] Dan Song, Tianbao Li, Wenhui Li, et al. Universal Cross-Domain 3D Model Retrieval, IEEE Transactions on Multimedia, 23: 2721-2731 (2021). (SCI一区)
[9] Weizhi Nie, Yue Zhao, Dan Song*, et al. DAN: Deep-Attention Network for 3D Shape Recognition, IEEE Transactions on Image Processing, 2021, 30: 4371-4383. (SCI一区)
[10] Tianbao Li, Yuting Su, Dan Song*, et al.. Progressive Fourier Adversarial Domain Adaptation for Object Classification and Retrieval. IEEE Transactions on Multimedia. 26: 4540-4553 (2024) (SCI一区)
[11] Tianbao Li, An-An Liu*, Dan Song*, et al. Focus on Hard Samples: Hierarchical Unbiased Constraints for Cross-Domain 3D Model Retrieval.IEEE Transactions on Circuits and Systems for Video Technology. 33(11): 7036-7049 (2023) (SCI一区)
[12] Guoqiang Liu#, Dan Song#, Ruofeng Tong, et al. Toward Realistic Virtual Try-on Through Landmark-Guided Shape Matching..Association for the Advancement of Artificial Intelligence AAAI 2021: 2118-2126. (CCF-A类）
[13] Dan Song, Zekai Qiang, Chumeng Zhang, et al. Adaptive CLIP for open-domain 3D model retrieval.Information Processing & Management. 62(3): 103989 (2025). (SCI一区)
[14] Dan Song, Yue Yang, Weizhi Nie, et al. Cross-Domain 3D Model Retrieval Based On Contrastive Learning And Label Propagation. ACM Multimedia. 2022: 286-295 (CCF-A类)
[15] Dan Song, Yuanxiang Yang, Wenhui Li, et al. Structured serialization semantic transfer network for unsupervised cross-domain recognition and retrieval. Information Processing & Management. 61(1): 103565 (2024) (SCI一区)
[16] Wenhui Li, Yue Li, Yuanxiang Yang, et al. Multi-modal Adversarial Fusion for Typhoon Intensity Forecasting.IEEE Transactions on Geoscience and Remote Sensing. 62: 1-12 (2024) (SCI一区)
[17] Yuting Su, Yuqian Li, Dan Song*, et al. Joint Intermediate Domain Generation and Distribution Alignment for 2D Image-Based 3D Objects Retrieval, IEEE Transactions on Multimedia, 2021, 23: 2127-2138. (SCI一区)
[18] Yuting Su, Yuqian Li, Dan Song*, et al. Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects Retrieval.International Joint Conference on Artificial Intelligence. IJCAI 2020: 883-889 (CCF-A类）
[19] Yuting Su, Yuqian Li, Weizhi Nie, et al. Joint Heterogeneous Feature Learning and Distribution Alignment for 2D Image-Based 3D Object Retrieval, IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(10): 3765-3776. (SCI一区)
[20] Yuting Su, Yuqian Li, Dan Song*, et al. Domain-Specific Alignment Network for Multi-Domain Image-Based 3D Object Retrieval. ACM Multimedia 2020: 3496-3504. (CCF-A类)
(2) 发明专利：
授权中国发明专利 15 项，美国发明专利 1 项。
主要讲授课程：
(1) 信号与系统（本科生）
(2) 跨媒体大数据分析与检索（硕士生）
主要学术成就、奖励及荣誉：
山东省科学技术进步奖一等奖
天津市科学技术进步奖二等奖
优秀硕士学位论文指导教师
优秀本科生毕业设计指导教师
其他（社会兼职等）：
(1) 学术组织：中国图象图形学学会青工委/女工委/多媒体专委会委员、中国计算机学会多媒体专委会委员
(2) SCI期刊客座编辑：Pattern Recognition Letters (IF: 5.1)
(2) 审稿人：CVPR、ECCV、ACM MM、IEEE CIM、IEEE TMM等
(3) 组织国际比赛：Eurographics Workshop on 3D Object Retrieval Track on Monocular Image-based 3D Model Retrieval
