付明浩 Minghao Fu (M.H. Fu) M.Sc. Student, LAMDA Group School of Artificial Intelligence Nanjing University, Nanjing 210023, China Email: fumh@lamda.nju.edu.cn Laboratory: Computer Science Building, Xianlin Campus of Nanjing University

Supervisor

Professor Jianxin Wu

Biography

Currently I am a second-year PHD student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou.

I got my B.Sc. degree in Computer Science and Technology from Yingcai Honors College, University of Electronic Science and Technology of China (UESTC) in June 2021.

Research Interests

My research interests include Machine Learning and Computer Vision. Currently, I'm focused on:

• Few-Shot Learning.

• Efficient Learning.

Publications

Conference Articles

• Quantization without Tears. [arxiv]
  Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu
  In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2025). To appear.

• Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation. [arxiv]
  Ningyuan Tang, Minghao Fu, Jianxin Wu
  In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2025). To appear.

• Rectify the Regression Bias in Long-Tailed Object Detection. [paper][arxiv]
  Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu.
  In Proceedings of the 18th European Conference on Computer Vision (ECCV2024). pp. 198-214.

• Unified Low-rank Compression Framework for Click-through Rate Prediction. [arxiv] [code]
  Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu
  In 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Applied Data Science (ADS) Track (KDD2024). pp. 6169 - 6180.

• Instance-based Max-margin for Practical Few-shot Recognition. [arxiv] [code] [poster] [video]
  Minghao Fu and Ke Zhu.
  (Special thanks to my supervisor, Jianxin Wu, for his invaluable guidance and support.)
  In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2024). pp. 28674-28683.

• DTL: Disentangled Transfer Learning for Visual Recognition. [paper] [appendix] [arXiv] [code] [poster] [video]
  Minghao Fu, Ke Zhu and Jianxin Wu.
  In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI2024). pp. 12082-12090.

• Multi-Label Self-Supervised Learning with Scene Images. [paper][arxiv]
  Ke Zhu, Minghao Fu and Jianxin Wu.
  In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV2023). pp. 6694-6703.

• Worst Case Matters for Few-Shot Recognition. [paper] [arXiv] [code][poster] [video]
  Minghao Fu, Yun-Hao Cao and Jianxin Wu.
  In Proceedings of the 17th European Conference on Computer Vision (ECCV2022). pp. 99–115.

Services

Conference Reviewers

• CVPR2024, ECCV2024, CVPR2025, ICCV2025, ACMMM2025
  ，

Teaching Assistants

• Pattern Recognition. Spring, 2023.

Correspondence

Emails: fumh@lamda.nju.edu.cn

Address: Minghao Fu, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区, 软件新技术国家重点实验室, 210023.)