Xiaoman Zhang

According to our database, Xiaoman Zhang authored at least 61 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Imitation Learning for Robot Assistance in Open Surgery: A Multi-Policy Evaluation on Suture Following.

Xucheng Wang, Zhizhou Yang, Xiaoman Zhang, Sung Eun Kim, Romain Hardy, Pranav Rajpurkar

CoRR, May, 2026

A systematic evaluation of vision-language models for observational astronomical reasoning tasks.

Wenke Ren, Hengxiao Guo, Wenwen Zuo, Xiaoman Zhang

CoRR, April, 2026

ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding.

Xucheng Wang, Xiaoman Zhang, Sung Eun Kim, Ankit Pal, Pranav Rajpurkar

CoRR, April, 2026

Mobility-Aware Reputation-Based Hierarchical Federated Learning for Internet of Vehicles.

Danxin Wang, Xiaoman Zhang, Haibo Wu, Jianhang Liu, Xianhao Chen, Mu Zhou

IEEE Trans. Veh. Technol., March, 2026

ReXInTheWild: A Unified Benchmark for Medical Photograph Understanding.

Oishi Banerjee, Sung Eun Kim, Alexandra N. Willauer, Julius M. Kernbach, Abeer Rihan Alomaish, Reema Abdulwahab S. Alghamdi, Hassan Rayhan AlOmaish, Mohammed Baharoon, Xiaoman Zhang, Julián Nicolás Acosta, Christine Zhou, Pranav Rajpurkar

CoRR, March, 2026

Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?

Grace Chang Yuan, Xiaoman Zhang, Sung Eun Kim, Pranav Rajpurkar

CoRR, March, 2026

2025

ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges.

Roshan Kenia, Xiaoman Zhang, Pranav Rajpurkar

CoRR, December, 2025

3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models.

Sraavya Sambara, Sung Eun Kim, Xiaoman Zhang, Luyang Luo, Shreya Johri, Mohammed Baharoon, Du Hyun Ro, Pranav Rajpurkar

CoRR, October, 2025

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.

Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor

CoRR, October, 2025

Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping.

Dexuan He, Xiao Zhou, Wenbin Guan, Liyuan Zhang, Xiaoman Zhang, Sinuo Xu, Ge Wang, Lifeng Wang, Xiaojun Yuan, Xin Sun, Yanfeng Wang, Kun Sun, Ya Zhang, Weidi Xie

CoRR, August, 2025

Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment.

Julián N. Acosta, Scott J. Adams, Julius M. Kernbach, Romain Hardy, Sung Eun Kim, Luyang Luo, Xiaoman Zhang, Shreya Johri, Mohammed Baharoon, Pranav Rajpurkar

CoRR, July, 2025

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports.

Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Mahmoud Hussain Alabbad, Maha Sbayel Alhazmi, Neel P. Mistry, Kent Ryan Kleinschmidt, Brady Chrisler, Sathvik Suryadevara, Sri Sai Dinesh Jaliparthi, Noah Michael Prudlo, Mark David Marino, Jeremy Palacio, Rithvik Akula, Hong-Yu Zhou, Ibrahim Ethem Hamamci, Scott J. Adams, Hassan Rayhan AlOmaish, Pranav Rajpurkar

CoRR, July, 2025

An Agentic System for Rare Disease Diagnosis with Traceable Reasoning.

Weike Zhao, Chaoyi Wu, Yanjie Fan, Xiaoman Zhang, Pengcheng Qiu, Yuze Sun, Xiao Zhou, Yanfeng Wang, Ya Zhang, Yongguo Yu, Kun Sun, Weidi Xie

CoRR, June, 2025

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding.

Ankit Pal, Jung-Oh Lee, Xiaoman Zhang, Malaikannan Sankarasubbu, Seunghyeon Roh, Won Jung Kim, Meesun Lee, Pranav Rajpurkar

CoRR, June, 2025

ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports.

Xiaoman Zhang, Julián N. Acosta, Josh Miller, Ouwen Huang, Pranav Rajpurkar

CoRR, May, 2025

Is Meta-Learning Effective for Few-Shot Hyperspectral Image Classification?

Li Shen, Yangzhu Wang, Xiaoman Zhang, Huaxin Qiu, Zhenyang Zhang, Chang Nie, Wei Li

IEEE Trans. Geosci. Remote. Sens., 2025

Large-vocabulary segmentation for medical images with text prompts.

Ziheng Zhao, Yao Zhang, Chaoyi Wu, Xiaoman Zhang, Xiao Zhou, Ya Zhang, Yanfeng Wang, Weidi Xie

npj Digit. Medicine, 2025

Ensemble network using oblique coronal MRI for Alzheimer's disease diagnosis.

Cunhao Li, Zhongjian Gao, Xiaomei Chen, Xuqiang Zheng, Xiaoman Zhang, Chih-Yang Lin

NeuroImage, 2025

FedMPS: A Robust Differential Privacy Federated Learning Based on Local Model Partition and Sparsification for Heterogeneous IIoT Data.

Danxin Wang, Yuyang Gao, Shanchen Pang, Chen Zhang, Xiaoman Zhang, Ming Li

IEEE Internet Things J., 2025

UniBrain: Universal Brain MRI diagnosis with hierarchical knowledge-enhanced pre-training.

Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang, Jiangchao Yao, Weidi Xie, Yan-Ning Zhang, Yuehua Li, Ya Zhang, Yanfeng Wang

Comput. Medical Imaging Graph., 2025

State-of-the-Art Text-Prompted Medical Segmentation Models Struggle to Ground Chest CT Findings.

Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Kent Kleinschmidt, Sri Sai Dinesh Jaliparthi, Sathvik Suryadevara, Rithvik Akula, Mark David Marino, Wenhui Lei, Ibrahim Ethem Hamamci, Pranav Rajpurkar

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

Mitigating Exploding Gradients in Large Language Models with Neural Architecture Search.

Qingya Lu, Zijie Wang, Xiaoman Zhang, Yue Zhong

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Research on Dynamic Properties Evolution Algorithm of Polymer Nanomaterials Based on Heterogeneous Computing Platform.

Xiaoman Zhang, Tao Liu, Han Qin, Ying Guo, Jingshan Pan, Dawei Zhao, Xiaoming Wu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models.

Alice Heiman, Xiaoman Zhang, Emma Chen, Sung Eun Kim, Pranav Rajpurkar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs.

Xiaoman Zhang, Julián Nicolás Acosta, Hong-Yu Zhou, Pranav Rajpurkar

Proceedings of the Conference on Health, 2025

HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation.

Julián Nicolás Acosta, Xiaoman Zhang, Siddhant Dogra, Hong-Yu Zhou, Seyedmehdi Payabvash, Guido J. Falcone, Eric Karl Oermann, Pranav Rajpurkar

Proceedings of the Conference on Health, 2025

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation.

Xiaoman Zhang, Hong-Yu Zhou, Xiaoli Yang, Oishi Banerjee, Julián N. Acosta, Josh Miller, Ouwen Huang, Pranav Rajpurkar

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

ReXplain: Translating Radiology into Patient-Friendly Video Reports.

Luyang Luo, Jenanan Vairavamurthy, Xiaoman Zhang, Abhinav Kumar, Ramon R. Ter-Oganesyan, Stuart T. Schroff, Dan Shilo, Rydhwana Hossain, Mike Moritz, Pranav Rajpurkar

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

2024

Pressure-Insensitive Epidermal Thickness of Fingertip Skin for Optical Image Encryption.

Wangbiao Li, Bo Zhang, Xiaoman Zhang, Bin Liu, Hui Li, Shulian Wu, Zhifang Li

Sensors, April, 2024

PMC-LLaMA: toward building open-source language models for medicine.

Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, Ya Zhang, Weidi Xie, Yanfeng Wang

J. Am. Medical Informatics Assoc., 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

CoRR, 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

CoRR, 2024

Knowledge-enhanced Visual-Language Pretraining for Computational Pathology.

Xiao Zhou, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Weidi Xie, Yanfeng Wang

CoRR, 2024

Towards Building Multilingual Language Model for Medicine.

Pengcheng Qiu, Chaoyi Wu, Xiaoman Zhang, Weixiong Lin, Haicheng Wang, Ya Zhang, Yanfeng Wang, Weidi Xie

CoRR, 2024

TKMBR: Temporal Knowledge Graph-based Multi-Behavior Recommendation.

Xiaoman Zhang, Linlin Zhang, Xuehua Bi, Guanglei Yu, Ruyi Cao, Yang Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

RaTEScore: A Metric for Radiology Report Generation.

Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Knowledge-Enhanced Visual-Language Pretraining for Computational Pathology.

Xiao Zhou, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Weidi Xie, Yanfeng Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Self-Supervised Tumor Segmentation With Sim2Real Adaptation.

Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Xin Chen, Qi Tian, Yanfeng Wang

IEEE J. Biomed. Health Informatics, September, 2023

Research on remote sensing image carbon emission monitoring based on deep learning.

Shaoqing Zhou, Xiaoman Zhang, Shiwei Chu, Tiantian Zhang, Junfei Wang

Signal Process., June, 2023

One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts.

Ziheng Zhao, Yao Zhang, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie

CoRR, 2023

Large-scale Long-tailed Disease Diagnosis on Radiology Images.

Qiaoyu Zheng, Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie

CoRR, 2023

Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis.

Chaoyi Wu, Jiayu Lei, Qiaoyu Zheng, Weike Zhao, Weixiong Lin, Xiaoman Zhang, Xiao Zhou, Ziheng Zhao, Ya Zhang, Yanfeng Wang, Weidi Xie

CoRR, 2023

UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training.

Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang, Jiangchao Yao, Weidi Xie, Yanyong Zhang, Yuehua Li, Ya Zhang, Yanfeng Wang

CoRR, 2023

Towards Generalist Foundation Model for Radiology.

Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie

CoRR, 2023

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.

Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao, Weixiong Lin, Ya Zhang, Yanfeng Wang, Weidi Xie

CoRR, 2023

PMC-LLaMA: Further Finetuning LLaMA on Medical Papers.

Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie

CoRR, 2023

Knowledge-enhanced Pre-training for Auto-diagnosis of Chest Radiology Images.

Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, Weidi Xie

CoRR, 2023

K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging.

Chaoyi Wu, Xiaoman Zhang, Yanfeng Wang, Ya Zhang, Weidi Xie

CoRR, 2023

MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training.

Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie

CoRR, 2023

PMC-CLIP: Contrastive Language-Image Pre-training Using Biomedical Documents.

Weixiong Lin, Ziheng Zhao, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, Weidi Xie

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning.

Chi Zhang, Xiaoman Zhang, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen, Yong Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis.

Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Cross-site scripting attack detection based on a modified convolution neural network.

Huyong Yan, Li Feng, You Yu, Weiling Liao, Lei Feng, Jingyue Zhang, Dan Liu, Ying Zou, Chongwen Liu, Linfa Qu, Xiaoman Zhang

Frontiers Comput. Neurosci., 2022

2021

Self-supervised Tumor Segmentation through Layer Decomposition.

Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Yanfeng Wang

CoRR, 2021

MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets.

Shixiang Feng, Yuhang Zhou, Xiaoman Zhang, Ya Zhang, Yanfeng Wang

CoRR, 2021

Uncertainty-aware Incremental Learning for Multi-organ Segmentation.

Yuhang Zhou, Xiaoman Zhang, Shixiang Feng, Ya Zhang, Yanfeng Wang

CoRR, 2021

SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation.

Xiaoman Zhang, Shixiang Feng, Yuhang Zhou, Ya Zhang, Yanfeng Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks.

Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Universal Model for 3D Medical Image Analysis.

Xiaoman Zhang, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang

CoRR, 2020

2019

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation.

Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2013

Effect of Facets of a- Fe2O3 Nanostructures on Gas-Sensing Performance.

Jing Wang, Xiaoman Zhang, Weihong Xu, Liang Chen, Xingjiu Huang, Jinhuai Liu

Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013