I am currently a Master candidate in the School of Information Engineering, Guangdong University of Techonology, advised by Prof. Zhijing Yang. I also collaborate with Prof. Yongyi Lu. Before that, I received my B.E. degree in the Collage of Electrical and Information Engineering, Hunan University of Techonology.

Research interest: AI for medical(Image segmentation, Depth of anesthesia forecasting), Data-efficient learning, Diffusion, NeRF.

Never stop looking for collaboration, kindly contact me via email.

🔥 News

• 2023.08:  🎉🎉 One paper about DOA prediction was accpeted by IEEE TNSRE (SCI Q2) [arxiv][code].
• 2023.07:  🎉🎉 One paper about data diet in medical image segmentation was accpeted by ICML workshop IMLH [openview][code].

📝 Publications

TNSRE, 2023

• A Transformer-based Prediction Method for Depth of Anesthesia During Target-controlled Infusion of Propofol and Remifentanil
  Yongkang He, Siyuan Peng, Mingjin Chen, Zhijing Yang, Yuanhui Chen
  IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE, SCI Q2), 2023. [arxiv][code]

ICML Workshops 2023

• Data-Centric Diet: Effective Dataset Pruning for Medical Image Segmentation
  Yongkang He, Mingjin Chen, Zhijing Yang, Yongyi Lu
  ICML Workshops, 2023. [pdf] [code]
  AAAI 2024 Submission, Under Review.

TMI Under Review

• Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation
  Mingjin Chen, Yongkang He, Zhijing Yang, Yongyi Lu
  IEEE Transactions on Medical Imaging (TMI), Under Review.

🎖 Honors and Awards

• 2022.9 The Second Class Scholarship, GDUT.
• 2021.9 The Second Class Scholarship, GDUT.
• 2019.12 National Second Prize, National Undergraduate Electronic Design Contest.
• 2019.8 Hunan Provincial First Prize, National Undergraduate Electronic Design Contest.

📖 Educations

• 2021.09 - now, Master, School of Information Engineering, Guangdong University of Technology.
• 2017.09 - 2021.06, Undergraduate, Collage of Electrical and Information Engineering, Hunan University of Technology.