👋 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.

🔥 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 🎉🎉!
  • 2022.04: One paper is accepted by MedIA (IF=10.9)!

📝 Publications

ECL

ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
MICCAI, 2023 (STAR Award)
Yilan Zhang, Jianqi Chen, Ke Wang, and Fengying Xie
[PDF] [Code]

INR-Harmonization

Dense Pixel-to-Pixel Harmonization via Continuous Image Representation
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
Jianqi Chen,Yilan Zhang, Zhengxia Zou, Keyan Chen, and Zhenwei Shi
[PDF] [Code] [Demo]

Diff-Harmonization

Zero-Shot Image Harmonization with Generative Model Prior
Arxiv, 2023
Jianqi Chen, Zhengxia Zou, Yilan Zhang, Keyan Chen, and Zhenwei Shi
[PDF] [Code coming soon]

TFormer

TFormer: A throughout fusion transformer for multi-modal skin lesion diagnosis
Computers in Biology and Medicine (CBM), 2023
Yilan Zhang, Fengying Xie, Jianqi Chen
[PDF] [Code]

DiffAttack

Diffusion Models for Imperceptible and Transferable Adversarial Attack
Arxiv, 2023
Jianqi Chen, Hao Chen, Keyan Chen, Yilan Zhang, Zhengxia Zou, and Zhenwei Shi
[PDF] [Code]

Rotation-invariance Deep Hashing

Dermoscopic image retrieval based on rotation-invariance deep hashing
Medical Image Analysis (MedIA), 2022
Yilan Zhang, Fengying Xie, XuedongSong, Yushan Zheng, Jie Liu and Juncheng Wang
[PDF] [Code]

🏆 Honors and Awards

  • 2023.09 National Scholarship, Ministry of Education of China (Top 1%)
  • 2023.06 “Postgraduate Excellent Academic Innovation Achievement Award” of Beihang University
  • 2022.12 “Excellent graduate student” of Beihang University (Top 5%)
  • 2021.11 Second Prize of “Lee Kum Kee Astronautics Scholarship”, Beihang University (Top 5%)
  • 2021.06 “Outstanding Graduates” of Beihang University
  • 2020.12 Special Prize of “Outstanding Academic Performance”, Beihang University (Top 3%)
  • 2020.05 “Finalist” of The Mathematical Contest In Modeling (MCM) (Top 2%)
  • 2019.12 Second Prize of “AVIC Scholarship”, Beihang University (Top 2%)

📖 Educations

  • 2021.09 - Present, M.S. in Pattern Recognition and Intelligent System, Beihang University, China.
  • 2017.09 - 2021.06, B.S. in Image Processing, Beihang University, China.