个人简介

姚涵涛，中国科学技术大学信息科学技术学院特任研究员，博士生导师。2018年博士后创新人才支持计划和中国科学院院长奖获得者。长期从事多媒体内容分析、社会事件分析和计算机视觉等方面的研究。作为项目负责人承担国家自然科学基金青年项目、国家自然科学基金面上项目和北京市面上基金，作为课题负责人承担科技部科技创新2030-“新一代人工智能”重大项目，作为课题骨干参加国家自然科学基金重点项目、科技创新2030-“新一代人工智能”重大项目、北京市自然科学基金重点项目等科研项目。在一流国际期刊(如:IEEE TPAMI、IEEE TIP、IEEE TMM、IEEE TCSVT、ACM TOMM)和领域高水平会议(如：ICML, NeurIPS, CVPR, MM)以及Science Advances/Science Translational Medicine等发表50余篇高水平的研究论文。相关研究成果获得ACM Multimedia Asia 2019最佳学生论文和2023年中国多媒体大会最佳展报论文，多篇论文入选ESI高被引论文。

研究方向

• 多媒体内容分析

• 计算机视觉

• 多智能体研究

联系方式

实验室：高新校区1号学科楼A222

办公地点：高新校区1号学科楼A432A

电子邮箱：yaohantao@ustc.edu.cn

个人主页：https://faculty.ustc.edu.cn/yaohantao/zh_CN/index.htm

代表性论文

1. Hantao Yao, Rui Zhang, Huaihai Lyu, Yongdong Zhang, Changsheng Xu: Bi-modality Individual-aware Prompt tuning for Visual-Language Model, TPAMI 2025.

2. Hantao Yao, Rui Zhang, Changsheng Xu: TCP: Textual-based Class-aware Prompt Tuning for Visual-Language Model, CVPR 2024.

3. Hantao Yao, Jifei Luo, Lu Yu, Changsheng Xu: Camera-Incremental Object Re-Identification with Identity Knowledge Evolution, IEEE Transactions on Multimedia. 2024

4. Yukun Zuo*, Hantao Yao*, Liansheng Zhuang, Changsheng Xu, Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence 2024,

5. Jifei Luo, Hantao Yao*, Changsheng Xu: Cluster-Aware Similarity Diffusion for Instance Retrieval, ICML 2024

6. Hantao Yao, Lu Yu, Changsheng Xu: Few-shot Incremental Learning with Textual Knowledge Embedding by Visual-language Model. Int. J. Softw. Informatics 14(2)(软件学报): 123-144 (2024) (2023年中国多媒体大会最佳展报论文)

7. Hantao Yao, Rui Zhang, Changsheng Xu: Visual-Language Prompt Tuning with Knowledge-guided Context Optimization, CVPR 2023.(Google Scholar引用114次)

8. Hantao Yao, Shaobo Min, Yongdong Zhang, Changsheng Xu: Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning. IEEE Transactions on Multimedia. 24: 1933-1942 (2022)

9. Hantao Yao, Changsheng Xu: Joint Person Objectness and Repulsion for person search, IEEE Transactions on Image Processing 30: 685-696 (2021)

10. Shaobo Min, Hongtao Xie, Hantao Yao*, Xuran Deng, Zheng-Jun Zha, Yongdong Zhang: Hierarchical granularity transfer learning, NeurIPS 2020, (通信作者)

11. Shaobo Min, Hongtao Xie, Youliang Tian, Hantao Yao*, Yongdong Zhang: Adaptive Bilinear Pooling for Fine-grained Representation Learning. ACM Multimedia Asia 2019 (最佳学生论文)

12. Hantao Yao, Shiliang Zhang, Richang Hong, Yongdong Zhang, Changsheng Xu, Qi Tian: Deep representation learning with part loss for person re-identification, IEEE Transactions on Image Processing 28(6), 2860-2871，2019(ESI高被引论文)

13. Hantao Yao, Shiliang Zhang, Chenggang Yan, Yongdong Zhang, Jintao Li, Qi Tian: AutoBD: Automated Bi-level Description for Scalable Fine-Grained Visual Categorization,IEEE Transactions on Image Processing. 27(1): 10-23 (2018)  

14. Hantao Yao, Shiliang Zhang, Yongdong Zhang, Jintao Li, Qi Tian: One-Shot Fine-Grained Instance Retrieval. ACM Multimedia 2017: 342-350

15. Hantao Yao, Shiliang Zhang, Yongdong Zhang, Jintao Li, Qi Tian: Coarse-to-Fine Description for Fine-Grained Visual Categorization. IEEE Transactions on Image Processing 25(10): 4858-4872 (2016)