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πŸ‘‹ About Me (CV)

I am currently a second-year M.S. student at Beihang University (BUAA), supervised by Prof. Fengying Xie. Previously, I received my bachelor’s degree from Beihang University in June 2021. My research interests lie in medical image analysis, multi-modality, and image synthesis.

πŸ“Ž Homepages

πŸ”₯ News

  • 2023.10: One paper is accepted by TCSVT (IF=8.4)!
  • 2023.09: I'm honored with National Scholarship in China!
  • 2023.07: One paper is accepted by MICCAI 2023 (STAR Award)!
  • 2023.02: One paper is accepted by CBM (IF=7.7)!
  • 2023.01: One paper is accepted by CMPB (IF=6.1)!
  • 2022.12: One paper is accepted by CBM (IF=7.7)!
  • 2022.05: Achieve the 5th place in Track I: Classification Task Defense and the 6th place in Track II: Open Set Defense, CVPR 2022 Robust Models towards Open-world Classification πŸŽ‰πŸŽ‰!
  • 2022.04: One paper is accepted by MedIA (IF=10.9)!

wobistdu's Projects

ecl icon ecl

[MICCAI 2023] ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification

inr-harmonization icon inr-harmonization

A novel image harmonization method based on Implicit Neural Representation.

minigpt-4 icon minigpt-4

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

pibd icon pibd

Implementation of "Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction"

tformer icon tformer

The official implementation of "TFormer: A throughout fusion transformer for multi-modal skin lesion diagnosis"

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