Qingsong Yao (姚青松)

Qingsong Yao (姚青松)

Assistant Professor, Renmin University.

About Me

  • I am an assistant professor in the School of Smart Governance and Soochow School of AI at Renmin University, Soochow Campus.
  • I was a postdoc researcher at the Department of Urology, Stanford University, co-advised by Prof. Joseph C. Liao and Prof. Lei Xing.
  • I obtained my Ph. D. degree in the Institute of Computing Technology (ICT), Chinese Academy of Science (CAS), advised by Prof. S. Kevin Zhou.
  • I obtained my B.E. in the 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 a 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. I have published 20+ papers at the top international AI conferences and journals with citations

🎓 Hiring Students

We are hiring talented and self-motivated graduate students.

Third-year undergraduate students preparing to pursue a master’s degree are welcome to contact me and apply to the summer camp of our school. All of the students will be jointly supervised by Prof. Wenxuan Wang (School of Information) and me. Potential research topics include:

  • Large language models, multimodal large models, and LLM agents;
  • Medical AI, with an emphasis on label-efficient and trustworthy medical image analysis
  • Multimodal video understanding and reasoning;
  • Agentic AI systems for scientific and medical applications.
  • AI Safety and AI for safety.

👥 Students

Current Mentored Students

  • Rongsheng Wang, Ph.D. at USTC
  • Xiaoyu Liu, master student at RUC, email
  • Ao Wang, master student at RUC, email
  • Mingfu Gao, master student at RUC, email
  • Musen Li, master student at RUC, email
  • Yekai Shen, undergraduate at USTC
  • Yuqian Wang, undergraduate at USTC
  • Qi Wu, undergraduate at USTC

Former Mentored Students

  • Wenxin Ma, master student at USTC -> Ph.D. at UT Austin (Congrats!)
  • Heqin Zhu, master student at ICT, CAS -> Ph.D. at USTC
  • Yihua Sun, Ph.D. at Tsinghua University

🔥 News

  • 2026.2:   Thrilled to serve as Area Chair of BIBM-26!
  • 2026.2:   Thrilled to serve as Area Chair of MICCAI-26!
  • 2025.7:   One paper accepted to ICCV-25.
  • 2025.5:   Two paper accepted to MIA-25.
  • 2025.3:   One paper accepted to CVPR-25.
  • 2025.1:   Thrilled to serve as Area Chair of MICCAI-25!
  • 2024.9:   One paper accepted to WACV-24.
  • 2024.7:   One paper accepted to TMI.
  • 2024.5:   Two papers accepted to MICCAI-24.
  • 2024.5:   One paper accepted to MIA-24.
  • 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 an 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

Anomaly Detection

Adversarial attacks and defenses

Universal learning

Medical Vision-Language Pre-training

Others

🎖 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

  • 2024.08 - now, Postdoc Researcher, Stanford University, Palo Alto, California, United States
  • 2019.06 - 2024.07, Ph.D, Institute of Computing Technology, Chinese Academy of Science, Beijing
  • 2015.09 - 2019.06, Undergraduate, School of the Gifted Young, University of Science and Technology of China, Hefei

💬 Professional Services

Area Chair:

  • International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)-25
  • International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)-26
  • IEEE International Conference on Bioinformatics and Biomedicine (BIBM)-26

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

💻 Internships