Junyang Wu

I am a ‘zero-year’ Ph.D. student of Biomedical Engineering at Shanghai Jiao Tong University, advised by Prof. Guangzhong Yang and Prof. Yun Gu. My research interest lies at medical image analysis, surgical robotics, and computer vision. I am particularly interested in Navigation of pulmonary interventional robot in the bronchus.

I received my B.S. degree from Shanghai Jiao Tong University. I have worked as a research intern with Prof. Alan Yuille at the Johns Hopkins University; Prof. Cihang Xie at the University of California, Santa Cruz; Prof. Guoyan Zheng at the Institude of Medical Robotics.

My resume can be downloaded through this link CV.


  • 2022 Rong Chang Scholarship
  • 2021 National Scholarship
  • 2021 Meritorious Winner in the Mathematical Contest in Modeling
  • 2020 Fujian Alumni Scholar


  • Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-Based Deep Negative Correlation Learning
    Junyang Wu, Rong Tao, Guoyan Zheng
    early accepted by MICCAI 2022 (Top 13%)
    Paper | Code

  • Unleashing the Power of Visual Prompting At the Pixel Level
    Junyang Wu*, Xianhang Li*, Chen Wei, Huiyu Wang, Alan Yuille, Yuyin Zhou, Cihang Xie
    Paper | Code


  • 标定参数的精度验证方法、介质及电子设备


  • 2021.07 - 2022.06: Research Intern at Image Navigation Intervention Center, IMR, Shanghai Jiao Tong University.
  • 2022.06 - Present: Research Intern at Johns Hopkins University.
  • 2022.06 - Present: Visiting student at University of California, Santa Cruz.

Professional Services

Reviewer: ICLR2023, CVPR2023

(Homework)Exploring Future Healthcare: Artificial Intelligence Empowering Pulmonary Nodule Diagnosis

This science popularization program will take you on a deep dive into the role of artificial intelligence in the field of medicine, particularly its application in diagnosing pulmonary nodules. Through concise presentations, captivating algorithm demonstrations, and interesting experiments, you will personally experience the technological advancements and learn how artificial intelligence can enhance the accuracy and efficiency of early-stage pulmonary nodule diagnosis. For presentation, basic knowledge will be highlighted and the current limit of conventional diagnosis will be discussed. In this part, you will know why we need artificial intelligence as our strong helper. For algorithm demonstration, how the artificial intelligence algorithms diagnose pulmonary nodules will be demonstrated clearly and you will have the chance to attempt diagnosing pulmonary nodules using artificial intelligence algorithms on your own. Furthermore, an interesting competition between artificial intelligence and experts will take place. Finally, there will be a discussion with invited relevant experts. No scientific background is required, as this science popularization program aims to provide the general public with a deeper understanding of the intersection between medicine and artificial intelligence, inspiring insights for the future of healthcare. Join us in exploring the future of medicine and technology!