👋 About Me (CV)

I am currently a first-year Ph.D student (2024 Spring) in CS of King Abdullah University of Science and Technology (KAUST) supervised by Prof. Xin Gao. Previously, I received my master’s degree from Beihang University (BUAA) in Jan. 2024, supervised by Prof. Fengying Xie, and my bachelor’s degree in June 2021. My research interests lie in medical image analysis, multi-modality, and image synthesis.

🔥 News

  • 2024.07: One paper is accepted by MICCAI 2024 (Ninth ISIC Skin Image Analysis Workshop, Oral Presentation)!
  • 2024.05: One paper is accepted by TGRS (IF=8.2)!
  • 2024.01: One paper is accepted by ICLR 2024 (Spotlight)!
  • 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

I2M2Net

I2M2Net: Inter/Intra-modal Feature Masking Self-distillation for Incomplete Multimodal Skin Lesion Diagnosis
MICCAI (Ninth ISIC Skin Image Analysis Workshop, Oral Presentation), 2024
Ke Wang, Linwei Qiu, Yilan Zhang, Fengying Xie
[PDF]

VCO-AP

Digital-to-Physical Visual Consistency Optimization for Adversarial Patch Generation in Remote Sensing Scenes
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Jianqi Chen, Yilan Zhang, Chenyang Liu, Keyan Chen, Zhengxia Zou, Zhenwei Shi
[PDF] [Code]

PIBD

Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
ICLR, 2024 (Spotlight)
Yilan Zhang, Yingxue Xu, Jianqi Chen, Fengying Xie, Hao Chen
[PDF] [Code]

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,Yilan Zhang(Co-first Author), Zhengxia Zou, , 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

  • 2024.03 - Present, Ph.D. in Computer Science, King Abdullah University of Science and Technology(KAUST), Saudi Arabia.
  • 2021.09 - 2024.01, M.S. in Pattern Recognition and Intelligent System, Beihang University, China.
  • 2017.09 - 2021.06, B.S. in Image Processing, Beihang University, China.