I am currently a 2nd-year PhD student of AIM Lab at National Engineering Research Center for Multimedia Software (国家多媒体软件工程技术研究中心), Wuhan University (武汉大学), extremely fortunate to be supervised by Prof. Zheng Wang. I am also a visiting student supervised by Prof.Shin’ichi Satoh in National Institute of Informatics (国立情報学研究所). Throughout my studies, I have been fortunate to collaborate closely with Zhixiang Wang. I obtained my master’s degree from Wuhan University of Science and Technology, under the supervision of Prof. Xin Xu.

My research interest lies on subset selection for computer vision (for robust AI and green AI).


If you are seeking any form of academic cooperation on subset selection, please feel free to email at wanzjwhu@whu.edu.cn.

🔥 Recent News

📝 Publications

AAAI 2024

Contributing Dimension Structure of Deep Feature for Coreset Selection

Zhijing Wan, Zhixiang Wang, Yuran Wang, Zheng Wang*, Hongyuan Zhu, and Shin’ichi Satoh

AAAI, 2024

Github PDF Poster

  • For the first time in coreset selection, we explicitly introduce information on the Contributing Dimension Structure (CDS) via the proposed CDS metric to enrich the diversity of CDS in the coreset.
CSUR 2023

A Survey of Dataset Refinement for Problems in Computer Vision Datasets

Zhijing Wan, Zhixiang Wang, CheukTing Chung, Zheng Wang*

ACM Computing Surveys, 2023

Github PDF

  • We summarize and analyze the various problems encountered in large-scale computer vision datasets.
  • We provide a comprehensive and structured overview of recent advances in dataset refinement (data sampling, data subset selection, and active learning) for problematic computer vision datasets.

📖 Educations

  • 2023.10 - now, Visiting Ph.D, Shin’ichi Satoh’s Lab, Japan.
  • 2022.09 - now, Doctoral, Wuhan University, Wuhan.
  • 2020.09 - 2022.06, Master, Wuhan University of Science and Technology, Wuhan.
  • 2016.09 - 2020.06, Undergraduate, Wuhan University of Science and Technology, Wuhan.

Updated in Mar. 2024

Thanks Yi Ren for this amazing homepage template.