Jintao Guo (郭金涛)

PhD. Student, Reasoning & Learning Group
Department of Computer Science and Technology
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China
Supervisor: Associate Professor Yinghuan Shi

Biography

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I am currently a third-year PhD student in Department of Computer Science and Technology at Nanjing University and a member of Reasoning & Learning Group, fortunately supervised by Prof. Yinghuan Shi.
I received my B.Eng. degree from University of Science and Technology of China in June 2020. In September 2020, I was admitted to study for a M.Eng. degree in Nanjing University.

News

• [2025-11] I am awarded the First Doctoral Student Special Program of The Young Talents Support Project of China Association for Science and Technology, Chinese Association for Artificial Intelligence.

• [2024-12] I am awarded the National Scholarship, Nanjing University.

• [2024-12] I am awarded the Outstanding Graduate Model, Nanjing University.

• [2024-12] One paper about Few-Shot Classification is accepted by AAAI 2025.

• [2024-09] One paper about DG Classification is accepted by NeurIPS 2024.

• [2024-09] One paper about DG Classification is accepted by IEEE TIP.

• [2024-04] One paper about Survey for DG in Complex Business Scenarios is accepted by 《中国科学基金》.

• [2024-02] One paper about DG Classification is accepted by IEEE TIP.

• [2023-12] I am awarded the Tencent Scholarship, Nanjing University.

• [2023-12] I am awarded the Outstanding Graduate Student, Nanjing University.

• [2023-09] One paper about DG Classification is accepted by ACM TOMM.

• [2023-07] One paper about DG Classification is accepted by ICCV 2023.

• [2023-02] One paper about DG Classification is accepted by CVPR 2023.

Publications

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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

• 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

• 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)
  Paper | Code

• 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

• 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

• 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

• 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

• 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

Honors

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• The First Doctoral Student Special Program of The Young Talents Support Project of China Association for Science and Technology, Chinese Association for Artificial Intelligence, 2025.
• National Scholarship, Nanjing University, 2024.
• Outstanding Graduate Model, Nanjing University, 2024.
• Tencent Scholarship, Nanjing University, 2023.
• Outstanding Graduate Student, Nanjing University, 2023.
• Academic Scholarship for Master, Nanjing University, 2020, 2021.
• Scholarship for Talented Students, University of Science and Technology of China, 2016, 2018, 2019.
• Freshman Seminar Outstanding Paper Award, University of Science and Technology of China, 2016.

Academic Services

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Conference Reviewer

• International Conference on Machine Learning (ICML), 2025
• IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023-2025
• Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
• International Conference on Learning Representations (ICLR), 2025
• AAAI Conference on Artificial Intelligence (AAAI), 2022-2025
• IEEE International Conference on Computer Vision (ICCV), 2023
• International Joint Conference on Artificial Intelligence (IJCAI), 2023

Journal Reviewer

• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• IEEE Journal of Biomedical and Health Informatics (JBHI)

Correspondence

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Email: guojintao@smail.nju.edu.cn
Address: Guo Jintao, National Key Laboratory for Novel Software Technology, Nanjing University, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China.