I am a Lecturer (Assistant Professor) in Computer Science at the University of Exeter, previously I worked at the Chinese Academy of Sciences and the University of Liverpool. I earned my PhD from the University of Liverpool, under the supervision of Prof. Xiaowei Huang and Prof. Xinping Yi.

I am interested in developing reliable (e.g., robust, generalisable, and efficient [NeurIPS20,CVPR22,23,ICCV23a,TIFS25,ICLR25a]) algorithms for modern machine learning models and applications [ICCV23b,AAAI23,ECCV24]. I focuse on aligning AI with human rules/preferences [ICML24,ICLR25b], with an emphasis on providing formal theoretical guarantees and rigorous statistical analyses [TMLR22,TPAMI25].

I am pleased to announce multiple openings for PhD and internship positions for the 2024/25 academic year. Scholarships are available through the University of Exeter and the CSC-Exeter program. If you are interested in these opportunities or would like to discuss potential collaborations, please don’t hesitate to contact me at g.jin@exeter.ac.uk.

Recent News

  • (06/2025) One paper accepted to TMLR.
  • (06/2025) One paper accepted to IEEE TPAMI.
  • (05/2025) I will be serving as an Area Chair for NeurIPS 2025 (Position Paper Track).
  • (04/2025) One paper accepted to IEEE TIFS.
  • (02/2025) Get two PhD studentships from the EU Horizon project.
  • (01/2025) Two papers accepted to ICLR 2025.
  • (07/2024) Start my position as a Lecturer (Assistant Professor) at Exeter.
  • (06/2024) One paper accepted to ECCV 2024.
  • (01/2024) One paper accepted to ICML 2024.

Funding & Grants

  • Robustifying Generative AI through Human-Centric Integration of Neural and Symbolic Methods (External Participant) 2025 - 2028
    Funded by EU Horizon.
  • FOCETA (Foundations for Continuous Engineering of Trustworthy Autonomy) (Research Assistant) 2021 - 2023
    Funded by EU H2020.
  • EnnCore (End-to-End Conceptual Guarding of Neural Architectures) (Research Assistant) 2020 - 2024
    Funded by EPSRC.
  • SOLITUDE (Safety Argument for Learning-enabled Autonomous Underwater Vehicles) (Research Assistant) 2020 - 2022
    Funded by UK DSTL.

Selected Publications

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Enhancing Robust Fairness via Confusional Spectral Regularization, ICLR 2025
Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu
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Enhancing Adversarial Training with Second-Order Statistics of Weights, CVPR 2022, IEEE TPAMI 2025
Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
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Invariant Correlation of Representation with Label, IEEE TIFS 2025
Gaojie Jin, Ronghui Mu, Xinping Yi, Xiaowei Huang, Lijun Zhang
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Randomized Adversarial Training via Taylor Expansion, CVPR 2023
Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
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How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks, NeurIPS 2020
Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang

Full list

Teaching

  • ECM1416: Computational Mathematics
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Textbook: Machine Learning Safety, Springer
Xiaowei Huang, Gaojie Jin, Wenjie Ruan

Academic Service