代表性论文[论文完整列表参见dblp或google scholar]：
Hantao Yao, Rui Zhang, Changsheng Xu: TCP: Textual-based Class-aware Prompt Tuning for Visual-Language Model, CVPR 2024.
Hantao Yao, Jifei Luo, Lu Yu, Changsheng Xu: Camera-Incremental Object Re-Identification with Identity Knowledge Evolution, IEEE Transactions on Multimedia. 2024
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, (共同一作)
Jifei Luo, Hantao Yao*, Changsheng Xu: Cluster-Aware Similarity Diffusion for Instance Retrieval, ICML 2024 (通信作者)
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)
Hantao Yao, Rui Zhang, Changsheng Xu: Visual-Language Prompt Tuning with Knowledge-guided Context Optimization, CVPR 2023.(Google Scholar引用114次)
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)
Hantao Yao, Changsheng Xu: Joint Person Objectness and Repulsion for person search, IEEE Transactions on Image Processing 30: 685-696 (2021)
Shaobo Min, Hongtao Xie, Hantao Yao*, Xuran Deng, Zheng-Jun Zha, Yongdong Zhang: Hierarchical granularity transfer learning, NeurIPS 2020, (通信作者)
Shaobo Min, Hongtao Xie, Youliang Tian, Hantao Yao*, Yongdong Zhang: Adaptive Bilinear Pooling for Fine-grained Representation Learning. ACM Multimedia Asia 2019 (通信作者, 最佳学生论文)
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，Google Scholar 引用489次)
Hantao Yao, Feng Dai, Shiliang Zhang, Yongdong Zhang, Qi Tian, Changsheng Xu: DR2-Net: Deep Residual Reconstruction Network for image compressive sensing. Neurocomputing 359: 483-493 (2019) (Google Scholar 引用350次)
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)
Hantao Yao, Shiliang Zhang, Yongdong Zhang, Jintao Li, Qi Tian: One-Shot Fine-Grained Instance Retrieval. ACM Multimedia 2017: 342-350
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)
