About Me

• I am a final-year PhD student in the Institute of Computing Technology (ICT), Chinese Academic of Science (CAS), advised by Prof. S. Kevin Zhou.
• I obtained my B.E. in School of the Gifted Young (SCGY, 少年班学院, honors college) from the University of Science and Technology of China (USTC) in 2019.
• I gained valuable internship experience in 2019 at Microsoft Research Asia (MSRA) under the mentorship of Jilong Xue. This was followed by internships at Tencent Jarvis Lab supervised by Dr. Yefeng Zheng, and at Z2sky.ai with Prof. S. Kevin Zhou as my adviser.

My research lies at developing secure and label-efficient medical image analysis algorithms with AI to achieve cost-efficient-yet-reliable medical decision-making, with the recent focus on 1) learning under severely scarce labeled data, e.g., one-shot medical landmark detection and segmentation. 2) learning without any labeled data, e.g., anomaly detection and zero-shot classification, 3) adversarial attack and defense on medical diagnosis network, 4) universal medical landmark detection & segmentation.

🔥 News

• 2024.3:   One paper accepted to CVPR-24.
• 2024.2:   Two papers accepted to ISBI-24.
• 2023.11:   One paper accepted to TMI.
• 2023.10:   Glad to be awarded as a IEEE TMI Distinguished Reviewer
• 2023.9:   BMPLE dataset is now available!
• 2023.5:   Two papers accepted to MICCAI-23
• 2022.6:   One paper accepted to MICCAI-22
• 2022.2:   One paper accepted to CVPR-22
• 2021.8:   Glad to receive MICCAI-21 Student Travel Award
• 2021.5:   Three papers accepted to MICCAI-21.
• 2021.1:   One paper accepted to TMI.
• 2020.6:   One paper accepted to MICCAI-20.

📝 Publications

One-shot landmark detection

• MICCAI 2021One-shot medical landmark detection
  Qingsong Yao, Quan Quan, Li Xiao, S. Kevin Zhou (early accepted, rank 47/1800) [code]
• CVPR 2022 Which images to label for few-shot medical landmark detection?
  Quan Quan*, Qingsong Yao*, Jun Li, S. Kevin Zhou [code]
• MICCAI 2023 UOD: Universal One-Shot Detection of Anatomical Landmarks
  Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou [code]
• TMI in major revision Information-guided unsupervised augmentation: Pixel-wise contrastive learning for medical image analysis
  Quan Quan*, Qingsong Yao*, Heqin Zhu, S. Kevin Zhou
• MIA in major revision Which images to label for few-shot medical image analysis
  Quan Quan*, Qingsong Yao*, Heqin Zhu, S. Kevin Zhou
• MIDL 2024 OFELIA: Optical Flow-based Electrode LocalIzAtion
  Xinyi Wang, Zikang Xu, Qingsong Yao, Yiyong Sun, S Kevin Zhou

Anomaly Detection

• TMI 2021 Label-free segmentation of COVID-19 lesions in lung CT
  Qingsong Yao, Li Xiao, Peihang Liu, S. Kevin Zhou

Adversarial attacks and defenses

• ISBI 2024 Nowhere to hide: Toward robust reactive medical adversarial defense
  Qingsong Yao, Zecheng He, Xiaodong Yu, S. Kevin Zhou
• TMI 2023Adversarial Medical Image with Hierarchical Feature Hiding
  Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou [code]
• MICCAI 2021 A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks
  Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou (early accepted, rank 9/1800)
• MICCAI 2020 Miss the point: Targeted adversarial attack on multiple landmark detection
  Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou [code]

Universal learning

• MICCAI 2019 3D U^2-Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation,
  Chao Huang, Hu Han, Qingsong Yao, Shankun Zhu, S. Kevin Zhou [code]
• MICCAI 2021 You only Learn Once: Universal Anatomical Landmark Detection
  Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou [code]

Medical Vision-Language Pre-training

• CVPR 2024 CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification
  Haoran Lai*, Qingsong Yao*, Zihang Jiang, Rongsheng Wang, Zhiyang He, Xiaodong Tao, S Kevin Zhou,

Others

• ISBI 2024 Long-tailed multi-label classification with noisy label of thoracic diseases from chest X-ray
  Haoran Lai, Qingsong Yao, Zhiyang He, Xiaodong Tao, S. Kevin Zhou
• MICCAI 2022 Rib Suppression in Digital Chest Tomosynthesis
  Yihua Sun, Qingsong Yao, Yuanyuan Lyu, Jianji Wang, Yi Xiao, Hongen Liao, S. Kevin Zhou [code]
• MICCAI 2023 FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification
  Zikang Xu, Shang Zhao, Quan Quan, Qingsong Yao, S. Kevin Zhou

🎖 Honors and Awards

• 2021.10 MICCAI Student travel award, 2021.
• 2020-2022 Academic First Class Scholarship in ICT, CAS
• 2020-2022 Merit Student in ICT, CAS

📖 Educations

• 2019.06 - (now), Ph.D, Institute of Computing Technology, Chinese Academic of Science, Beijing
• 2015.09 - 2019.06, Undergraduate, School of the Gifted Young, University of Science and Technology of China, Hefei

💬 Professional Services

Jornel Reviewers:

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Medical Imaging (TMI Distinguished Reviewer)
• Medical Imaging Analysis (MIA)
• Pattern Recognition (PR)
• IEEE Journal of Biomedical and Health Informatics (JBHI)

Conference Reviewers:

• Computer Vision and Pattern Recognition (CVPR)-22.24
• European Conference on Computer Vision (ECCV)-22,24
• International Conference on Computer Vision (ICCV)-21,23
• International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)-21-24
• Winter Conference on Applications of Computer Vision (WACV)-23

Developed Tools

CUDA Spatial DeformCUDA toolkits for 3D/2D image spatial deformation, 45X faster than CPU. link

💻 Internships

• 2021.3 - 2021.12, Z2sky.ai, Suchoow, China
• 2020.6 - 2020.12, Tencent Jarvis Lab, Shenzhen, China
• 2018.08 - 2019.7, Microsoft Research Asia (MSRA) system group, Beijing, China.