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