Shangde Gao (高尚德)

Postdoctoral Researcher · School of Medicine · Zhejiang University

shangde-gao-2026.png

gaosde@zju.edu.cn

Hangzhou, Zhejiang, China

I am currently a Postdoctoral Researcher at the School of Medicine, Zhejiang University. I received my Ph.D. from the College of Computer Science and Technology, Zhejiang University, in December 2025, under the supervision of Prof. Jian Wu. During my doctoral studies, I was affiliated with ZJU RealLab, Liangzhu Lab, and the Center for Data Science.

I received my M.S. in Computer Science from Hunan University in 2020, advised by Prof. Xin Liao, and my B.S. in Software Engineering from Hunan University in 2017.

My research focuses on computer vision and AI for science, with particular interest in knowledge distillation, knowledge fusion, and robust methods for real-world image classification and segmentation.

You can find my work on Google Scholar or GitHub.

Latest news 🔥🔥🔥

Sep 01, 2025 One paper was accepted by NeurIPS 2025.
Jun 01, 2025 Two papers were accepted by MICCAI 2025.
Apr 01, 2025 Papers were accepted by IJCAI, ICIC, and IJCNN.
Sep 01, 2024 One paper was accepted by the MICCAI 2024 CARE challenge.

Selected publications

  1. papers/KA2ER.png
    KA^2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation
    Shangde Gao, Yichao Fu, Ke Liu, and 2 more authors
    In Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
  2. papers/Co-KA.png
    Collaborative Knowledge Amalgamation: Preserving Discriminability and Transferability in Unsupervised Learning
    Shangde Gao, Yichao Fu, Ke Liu, and 4 more authors
    Information Sciences, 2024
  3. papers/CKA.png
    Contrastive Knowledge Amalgamation for Unsupervised Image Classification
    Shangde Gao, Yichao Fu, Ke Liu, and 1 more author
    In International Conference on Artificial Neural Networks (ICANN), 2023
  4. papers/PCVAE.png
    PCVAE: A Physics-Informed Neural Network for Determining the Symmetry and Geometry of Crystals
    Ke Liu, Shangde Gao, Kaifan Yang, and 1 more author
    In International Joint Conference on Neural Networks (IJCNN), 2023