朱可 Ke Zhu (K. Zhu) M.Sc. Student, LAMDA Group School of Artificial Intelligence Nanjing University, Nanjing 210023, China Email: zhuk@lamda.nju.edu.cn Laboratory: Computer Science Building, Xianlin Campus of Nanjing University

Supervisor

Professor Jianxin Wu

Biography

Currently I am a first-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 Automation Science and Technology from Department of Electronics and Information, Xi'an Jiaotong University (XJTU), China in June 2020.

Research Interests

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

• Self-supervised Learning.

• Network Quantization.

• Multi-Label Recognition.

Manuscripts

• Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images. [paper][arxiv]
  Ke Zhu, Yin-Yin He, Jianxin Wu.
  In arXiv preprint arXiv:2306.04244, 2023

• Instance-based Max-margin for Practical Few-shot Recognition.[paper][arxiv]
  

  Minghao Fu, Ke Zhu, Jianxin Wu.
  In arXiv preprint arXiv:2305.17368, 2023

Publications

Conference Articles

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

• Quantized Feature Distillation for Network Quantization.[paper][arxiv]
  Ke Zhu, Yin-Yin He, Jianxin Wu.
  In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI2023). pp. 11452-11460.

• Residual attention: A simple but effective method for multi-label recognition. [paper][arxiv]
  Ke Zhu, Jianxin Wu.
  In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV2021). pp. 184-193.

Services

Journal Reviewers

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

Teaching Assistant

• Pattern Recognition, Spring, 2022

Correspondence

Emails: zhuk@lamda.nju.edu.cn

Address: Ke Zhu, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 113, 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113信箱, 软件新技术国家重点实验室, 210023.)