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Yizhe Zhang

I am a faculty member in the School of Computer Science and Engineering at Nanjing University of Science and Technology. I am interested in medical (and biological) image analysis, machine learning and algorithm design. A collection of my publications can be found at [this webpage].

Recent Work:

  • [02/2024] TestFit: A Plug-and-Play One-Pass Test Time Method for Medical Image Segmentation [GitHub][paper]
  • [08/2023] SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation [GitHub][paper]
  • [04/2023] GrNT: Gate-regularized network training for improving multi-scale fusion in medical image segmentation [paper]
  • [04/2023] Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model [GitHub] [paper]
  • [02/2023] Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis [paper]
  • [07/2022] Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models [GitHub] [paper] [talk]
  • [06/2022] H-EMD: A Hierarchical Earth Mover’s Distance Method for Instance Segmentation [paper] 
  • [01/2022] AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation [paper] 
  • [01/2022] Perceptual Consistency in Video Segmentation [GitHub] [paper]

Work Experience:

  • associate professor @ Nanjing University of Science and Technology, Nanjing, Jiangsu, China, Aug. 2021 – present
  • researcher @ Qualcomm AI Research, San Diego, USA,
    Jan. 2020 – June 2021
  • summer intern @ Qualcomm AI Research, San Diego, USA,
    May 2017 – July 2017

Education:

  • Ph.D. Computer Science and Engineering, University of Notre Dame, USA, Thesis Advisor: Danny Z. Chen
  • M.S. Computer Science, New York University, USA
  • B.S. Computer Science, Hohai University, China

Awards & Recognitions:

  • CVPR 2022 best demo honorable mention (AuxAdapt demo).
  • CVPR 2021 outstanding reviewer.
  • AAAI 2019 student travel award.
  • 2017 PNAS Cozzarelli Prize (with M. A. Fredericksen, M. L. Hazen, R. G. Loreto, C. A. Mangold, D. Z. Chen, and D. P. Hughes) for our work “Three-dimensional Visualization and a Deep Learning Model Reveal Complex Fungal Parasite Networks in Behaviorally Manipulated Ants.”
  • CSE outstanding teaching assistant, University of Notre Dame, April 2016. 

Contact:

  • zhangyizhe@njust.edu.cn
  • yizhe.zhang.cs@gmail.com