Xiaoman Zhang (张小嫚)

Hi, I am a postdoctoral fellow at Harvard University in the Department of Biomedical Informatics, working with Prof. Pranav Rajpurkar.

I received my PhD in Shanghai Jiao Tong Universiy, advised by Prof. Weidi Xie and Prof. Ya Zhang. I received my bachelor degree from School for the Gifted Young, University of Science and Technology of China in June 2019.

My research interest focuses on Artificial Intelligence for Healthcare (AI4Health), with the ultimate goal of developing a generalist medical foundation model.

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Recent News

[11/2024] 1 paper has been accepted by Communications Medicine.
[09/2024] 1 paper has been accepted by Nature Communications.
[09/2024] 1 paper has been accepted by EMNLP.
[07/2024] Leaderboard for radiology report generation, ReXrank, is released.
[07/2024] 1 paper has been accepted by Nature Communications.
[07/2024] 1 paper has been accepted by ECCV 2024(Oral).

Selected Research

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models
Alice Heiman, Xiaoman Zhang, Emma Chen, Sung Eun Kim, Pranav Rajpurkar
Technical Report, 2024
ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generations
Xiaoman Zhang, Hong-Yu Zhou, Xiaoli Yang, Oishi Banerjee, Julián N. Acosta, Josh Miller, Ouwen Huang, Pranav Rajpurkar
Technical Report, 2024
AutoRG-Brain: Grounded Report Generation for Brain MRI
Jiayu Lei, Xiaoman Zhang, Chaoyi Wu, Lisong Dai, Ya Zhang, Yanyong Zhang, Yanfeng Wang, Weidi Xie, Yuehua Li
Technical Report, 2024
RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao, Jiayu Lei, Ya Zhang, Yanfeng Wang, Weidi Xie
Technical Report, 2024
RaTEScore: A Metric for Radiology Report Generation
Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie
EMNLP, 2024
Knowledge-enhanced Visual-Language Pretraining for Computational Pathology
Xiao Zhou, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, Weidi Xie
ECCV (Oral), 2024
Towards Building Multilingual Language Model for Medicine
Pengcheng Qiu*, Chaoyi Wu*, Xiaoman Zhang, Weixiong Lin, Haicheng Wang, Ya Zhang, Yanfeng Wang, Weidi Xie
Nature Communications, 2024
Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D & 3D Medical Data
Chaoyi Wu*,Xiaoman Zhang*, Yanfeng Wang, Ya Zhang, Weidi Xie
Technical Report, 2024
PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
Xiaoman Zhang*, Chaoyi Wu*, Ziheng Zhao, Weixiong Lin, Yanfeng Wang, Ya Zhang, Weidi Xie
Communications Medicine, 2024
PMC-LLaMA: Towards Building Open-source Language Models for Medicineg
Chaoyi Wu*, Weixiong Lin*,Xiaoman Zhang, Yanfeng Wang, Ya Zhang, Weidi Xie
Journal of the American Medical Informatics Association, 2024
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images
Xiaoman Zhang, Chaoyi Wu, Yanfeng Wang, Ya Zhang, Weidi Xie
Nature Communications, 2023
PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents
Weixiong Lin*, Ziheng Zhao*, Xiaoman Zhang, Chaoyi Wu, Yanfeng Wang, Ya Zhang, Weidi Xie
MICCAI, 2023 (Final List of MICCAI Young Scientist Publication Impact Award)
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology
Chaoyi Wu, Xiaoman Zhang, Yanfeng Wang, Ya Zhang, Weidi Xie
ICCV, 2023

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