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 algorithms for modern machine learning models and applications. I focuse on aligning AI with human values/rules, while providing formal theoretical guarantees and rigorous analyses.

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

• (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 at Exeter.
• (06/2024) One paper accepted to ECCV 2024.
• (01/2024) One paper accepted to ICML 2024.
• (03/2023) Two papers accepted to ICCV 2023.
• (03/2023) One paper accepted to CVPR 2023.

Funding & Grants

• Two PhD studentships (£120,000 external) 2025 - 2028
  Funded by the EU Horizon project “Robustifying Generative AI through Human-Centric Integration of Neural and Symbolic Methods”
• Trustworthy Intelligent Algorithms in Complex Environments (Co-I) 2022 - 2027
  Funded by the Chinese Academy of Sciences. CN¥20M (≈£2.2M)
• FOCETA (Foundations for Continuous Engineering of Trustworthy Autonomy) (Research Assistant) 2021 - 2023
  Funded by EU H2020. €4,985,540
• EnnCore (End-to-End Conceptual Guarding of Neural Architectures) (Research Assistant) 2020 - 2024
  Funded by EPSRC. £1,721,560
• SOLITUDE (Safety Argument for Learning-enabled Autonomous Underwater Vehicles) (Research Assistant) 2020 - 2022
  Funded by UK DSTL. £400K

Selected Publications

• Enhancing Robust Fairness via Confusional Spectral Regularization, ICLR 2025
  Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu
• Randomized Adversarial Training via Taylor Expansion, CVPR 2023
  Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
• Weight Expansion: A New Perspective on Dropout and Generalization, TMLR 2022
  Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang
• Enhancing Adversarial Training with Second-Order Statistics of Weights, CVPR 2022
  Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
• 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

Academic Service

• Reviewer
  ICML, NeurIPS, ICLR, AISTATS, AAAI, CVPR, ICCV, ECCV, JMLR, IJCV, TMLR, TIFS, TDSC
• Organise the workshop TrustRL: Trustworthy in Reinforcement Learning at ATC 2024