Xiaoran Zhang

Xiaoran Zhang

Biography

I am a fifth-year Ph.D. candidate at Yale University, where I am fortunately advised by Prof. James Duncan and co-advised by Prof. Alex Wong, Prof. Lawrence Staib. My research focuses on computer vision, with an emphasis on multimodal perception and healthcare applications. Recently, I have also been exploring vision-language models, particularly methods that enhance their spatial reasoning capabilities. I obtained my M.S. from UCLA and received my B.S. with the highest honor (President Teli Xu's Special Fellowship) from the Beijing Institute of Technology. I have previously worked as an Applied Scientist Intern at Amazon and as a Research Intern at United Imaging Intelligence.

I am on the job market looking for research/applied scientists positions. Please let me know if you think I might be a fit. Thanks very much!

News


  • [07/25] Excited to share that our ICCV paper was selected as a highlight poster!
  • [06/25] Excited to share that we have two papers accepted to ICCV 2025, including one first-authored! Huge thanks to my amazing collaborators. Looking forward to seeing everyone in Hawaii!
  • [05/25] I started my applied scientist internship at Amazon in Seattle, WA. Thanks to my hosts!
  • [05/25] Excited to share that my internship research at United Imaging Intelligence, focusing on adapting vision foundation models for ultrasound segmentation, has been early accepted to MICCAI 2025! Special thanks to my mentors Eric and Lin, and my manager Shanhui!
  • [08/24] Super excited to share that our ECCV paper was selected as an oral presentation!!!
  • [07/24] Super excited to share that one first-authored paper is accepted by ECCV 2024!!! Huge thanks to my collaborators!
  • [06/24] One first-authored paper is accepted by MICCAI 2024. Thanks to my collaborators!
  • [06/24] I started my summer research internship with the Medical AI team at United Imaging Intelligence in Burlington, MA. Thanks to my hosts!
  • [12/23] I am actively looking for a research internship in the summer of 2024. Please feel free to reach out! Thanks!
  • [12/23] I will attend NeurIPS in New Orleans and present our work on MedNeurIPS workshop. Feel free to drop me a message anytime! Excited to meet new people!
  • [11/23] Passed my area exam. I am now a Ph.D. candidate.
  • [08/22] Very happy to be recognized as Bronze Distinguished Reviewer by IEEE Transactions on Medical Imaging (IF=11.037).
  • [11/21] One paper accepted by Light: Science & Applications (IF=17.78).
  • [08/21] I started my Ph.D. at Yale.
  • [03/21] One paper accepted by Computers in Biology and Medicine (IF=6.698).
  • [11/20] Our MedIA paper is now officially online at [here]!!!
  • [11/20] Super excited to receive the acceptance decision for our MedIA (IF=13.828) paper! Thanks so much to Prof. Kumar and Michelle, the editor and the anonymous reviewers!

Selected publications

(Google scholar full list)




Progressive Test Time Energy Adaptation for Medical Image Segmentation
International Confernece on Computer Vision (ICCV) 2025 (Highlight).
Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park, Daniel H. Pak, Anne-Marie Rickmann, Lawrence H. Staib, James S. Duncan, Alex Wong
Project page Preprint Code Poster







ETA: Energy-based Test-time Adaptation for Depth Completion
International Conference on Computer Vision (ICCV) 2025.
Younjoon Chung, Hyoungseob Park, Patrick Rim, Xiaoran Zhang, Jihe He, Ziyao Zeng, Safa Cicek, Byung-Woo Hong, James S Duncan, Alex Wong
Preprint







Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2025 (Early accept, top 9%).
Xiaoran Zhang, Eric Z. Chen, Lin Zhao, Xiao Chen, Yikang Liu, Boris Maihe, James Duncan, Terrence Chen, Shanhui Sun
Project page Preprint Poster







Adaptive Correspondence Scoring for Unsupervised Medical Image Registration
European Conference on Computer Vision (ECCV) 2024 (Oral, top 3%).
Xiaoran Zhang, John C. Stendahl, Lawrence Staib, Albert J. Sinusas, Alex Wong, James S. Duncan
Project page Paper Code Poster Slides







Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2024.
Medical Imaging Meets NeurIPS (MedNeurIPS) Workshop 2023 (Oral, <10%).
Xiaoran Zhang*, Daniel H. Pak*, Shawn S. Ahn, Xiaoxiao Li, Chenyu You, Lawrence Staib, Albert J. Sinusas, Alex Wong, James S. Duncan
Project page Paper Code



Learning correspondences of cardiac motion from images using biomechanics-informed modeling
MICCAI-Statistical Atlases and Computational Modelling of the Heart (STACOM) Workshop 2022 (Oral).
Xiaoran Zhang, Chenyu You, Shawn Ahn, Juntang Zhuang, Lawrence Staib, James Duncan
Paper Code Video Poster Slides



Biopsy-free in vivo virtual histology of skin using deep learning
Light: Science & Applications 2021. IF=19.4.
Jingxi Li, Jason Garfinkel, Xiaoran Zhang, Di Wu, Yijie Zhang, Kevin de Haan, Hongda Wang, Tairan Liu, Bijie Bai, Yair Rivenson, Gennady Rubinstein, Philip O. Scumpia, Adyogan Ozcan
Paper





Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter
Medical Image Analysis (MedIA) 2020. IF=10.9.
Xiaoran Zhang, Michelle Noga, David Glynn Martin, Kumaradevan Punithakumar
Paper





Fully Automated Deep Learning-based Segmentation of Normal, Infarcted and Edema Regions from Multiple Cardiac MRI Sequences
MICCAI-Statistical Atlases and Computational Modelling of the Heart (STACOM) Workshop 2020.
Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar
Code Paper Preprint Video Poster Slide



Services


Journal Reviewer:

  • Medical Image Analysis
  • IEEE Transactions on Medical Imaging
  • IEEE Transactions on Biomedical Engineering
  • Neurocomputing
  • BMC Medical Imaging
  • BMC Medical Informatics and Decision
  • IEEE/ASME Transactions on Mechatronics
  • IEEE Transactions on Industrial Electronics

    • Conference Reviewer:

  • European Conference on Computer Vision (ECCV)
  • International Conference on Machine Learning (ICML)
  • International Conference on Learning Representations (ICLR)
  • Conference on Neural Information Processing Systems (NeurIPS)
  • International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
  • International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    • Awards


  • Graduate Fellowship, Yale University, 2021-2022
  • President Teli Xu's Special Fellowship (highest honor), BIT, 2019
  • Graduate with 1st Class Honor, BIT and Beijing Municipal Education Commission, 2019
  • Mitacs Award for Outstanding Innovation-Undergraduate, Mitacs, 2018 [Media] [Video]
  • Meritorious Winner in the Interdisciplinary Contest in Modeling (ICM), COMAP, 2018
  • National Scholarship, by the Ministry of Education of the People's Republic of China, 2015-2016

    • Miscellaneous


  • I am a music lover, a sports enthusiast. I love swimming, playing the piano, volleyball and table tennis.
  • Check out my performance back in 2015 at BIT singer's competition at [here]


    • Contact

    Email: xiaoran.zhang[at]yale.edu