Conference Papers
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    Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP. 
 Yayuan Li, Jintao Guo, Lei Qi, Wenbin Li, Yinghuan Shi.
 The Thirty-Ninth Annual AAAI Conference on Artificial Intelligence (AAAI), 2025
 Paper | Code
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    START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation. 
 Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao.
 The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
 Paper | Code
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    DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization 
 Jintao Guo, Lei Qi, Yinghuan Shi.
 IEEE International Conference on Computer Vision (ICCV), 2023
 Paper | Code | Zhihu
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    ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization 
 Jintao Guo, Na Wang, Lei Qi, Yinghuan Shi.
 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
 Paper | Code | Zhihu
Journal Papers
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    Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation. 
 Zihan Cheng, Jintao Guo, Jian Zhang, Lei Qi, Luping Zhou, Yinghuan Shi, Yang Gao.
 IEEE Transactions on Medical Imaging (IEEE TMI), 2025
 Paper | Code
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    SETA: Semantic-Aware Edge-Guided Token Augmentation for Domain Generalization. 
 Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao.
 IEEE Transactions on Image Processing (IEEE TIP), 2024
 Paper | Code
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    基于可泛化模型的复杂商务场景数据分析 
 史颖欢, 郭金涛, 李泽昆, 祁磊, 高阳.
 《中国科学基金》
 Paper
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    PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization 
 Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao.
 ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMM)
 Paper | Code
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    Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations. 
 Na Wang, Lei Qi, Jintao Guo, Yinghuan Shi, Yang Gao.
 IEEE Transactions on Image Processing (IEEE TIP)
 Paper | Code
