Wang, Xiaosong

15 publications

ICLR 2026 Unleashing Scientific Reasoning for Bio-Experimental Protocol Generation via Structured Component-Based Reward Mechanism Haoran Sun, Yankai Jiang, Zhenyu Tang, Yaning Pan, Shuang Gu, Zekai Lin, Lilong Wang, Wenjie Lou, Lei Liu, Lei Bai, Xiaosong Wang

CVPR 2025 Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models Yankai Jiang, Peng Zhang, Donglin Yang, Yuan Tian, Hai Lin, Xiaosong Wang

NeurIPS 2025 Chiron-O1: Igniting Multimodal Large Language Models Towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search Haoran Sun, Yankai Jiang, Wenjie Lou, Yujie Zhang, Wenjie Li, Lilong Wang, Mianxin Liu, Lei Liu, Xiaosong Wang

CVPR 2025 Multi-Modal Vision Pre-Training for Medical Image Analysis Shaohao Rui, Lingzhi Chen, Zhenyu Tang, Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang

ICCV 2025 Semantic Versus Identity: A Divide-and-Conquer Approach Towards Adjustable Medical Image De-Identification Yuan Tian, Shuo Wang, Rongzhao Zhang, Zijian Chen, Yankai Jiang, Chunyi Li, Xiangyang Zhu, Fang Yan, Qiang Hu, XiaoSong Wang, Guangtao Zhai

CVPR 2025 Towards All-in-One Medical Image Re-Identification Yuan Tian, Kaiyuan Ji, Rongzhao Zhang, Yankai Jiang, Chunyi Li, Xiaosong Wang, Guangtao Zhai

WACV 2024 Learning Quality Labels for Robust Image Classification Xiaosong Wang, Ziyue Xu, Dong Yang, Leo Tam, Holger Roth, Daguang Xu

ECCV 2024 Pathology-Knowledge Enhanced Multi-Instance Prompt Learning for Few-Shot Whole Slide Image Classification Linhao Qu, Dingkang Yang, Dan Huang, Qinhao Guo, Rongkui Luo, Shaoting Zhang, Xiaosong Wang

ICCV 2021 T-AutoML: Automated Machine Learning for Lesion Segmentation Using Transformers in 3D Medical Imaging Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu

AAAI 2020 When Radiology Report Generation Meets Knowledge Graph Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu

CVPR 2018 Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers

CVPR 2018 TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers

CVPR 2017 ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers

WACV 2017 Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers

ECCV 2010 Archive Film Restoration Based on Spatiotemporal Random Walks Xiaosong Wang, Majid Mirmehdi