Zhang, Ya
Shanghai Jiao Tong University · Shanghai Artificial Intelligence Laboratory
12 papers on CoChatORCID 0000-0002-5390-9053
Most cited papers
- Verified
PMC-LLaMA: toward building open-source language models for medicine
Wu, C., Lin, W., Zhang, X., Zhang, Y., Xie, W., & Wang, Y. (2024) · Journal of the American Medical Informatics Association
Topic ModelingArtificial Intelligence in Healthcare and Education
Cited by 300
- Verified
Registration Based Few-Shot Anomaly Detection
Huang, C., Guan, H., Jiang, A., Zhang, Y., Spratling, M., & Wang, Y.-F. (2022) · Lecture Notes in Computer Science
Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection
Cited by 216
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Knowledge-enhanced visual-language pre-training on chest radiology images
Zhang, X., Wu, C., Zhang, Y., Xie, W., & Wang, Y. (2023) · Nature Communications
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 207
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Towards building multilingual language model for medicine
Qiu, P., Wu, C., Zhang, X., Lin, W., Wang, H., Zhang, Y., Wang, Y., & Xie, W. (2024) · Nature Communications
Topic ModelingNatural Language Processing Techniques
Cited by 147
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Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning
Liao, X., Li, W., Xu, Q., Wang, X., Jin, B., Zhang, X., Wang, Y., & Zhang, Y. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Medical Image Segmentation TechniquesMedical Imaging and Analysis
Cited by 113
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PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
Zhang, X., Wu, C., Zhao, Z., Lin, W., Zhang, Y., Wang, Y., & Xie, W. (2023) · arXiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 66
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An agentic system for rare disease diagnosis with traceable reasoning
Zhao, W., Wu, C., Fan, Y., Qiu, P., Zhang, X., Sun, Y., Zhou, X., Zhang, S., Peng, Y., Wang, Y., et al. (2026) · Nature
Artificial Intelligence in Healthcare and EducationBiomedical Text Mining and Ontologies
Cited by 62
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Quantifying the reasoning abilities of LLMs on clinical cases
Qiu, P., Wu, C., Liu, S., Fan, Y., Zhao, W., Chen, Z., Gu, H., Peng, C., Zhang, Y., Wang, Y., et al. (2025) · Nature Communications
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 53
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Towards evaluating and building versatile large language models for medicine
Wu, C., Qiu, P., Liu, J., Gu, H., Li, N., Zhang, Y., Wang, Y., & Xie, W. (2025) · npj Digital Medicine
Artificial Intelligence in Healthcare and EducationTopic Modeling
Cited by 52
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Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis
Wu, C., Lei, J., Zheng, Q., Zhao, W., Lin, W., Zhang, X., Zhou, X., Zhao, Z., Zhang, Y., Wang, Y., et al. (2023) · arXiv
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 43
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MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models
Cai, Y., Wang, L., Wang, Y., De Melo, G., Zhang, Y., Wang, Y., & He, L. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 42
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CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
Ouyang, Z., Qiu, Y., Wang, L., De Melo, G., Zhang, Y., Wang, Y., & He, L. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 11
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