Chaoyi Wu
助理教授
Works on medical foundation models, including medical language models and knowledge-enhanced multimodal learning.
Chaoyi Wu's lab at SJTU works on medical imaging & healthcare AI, vision-language & multimodal and large language models. 18 papers since 2023, 6 at top venues, mostly Nature Communications and npj Digital Medicine. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 33%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 2 · collecting
- 6 papers2025 · T1 1
- 6 papers2024 · T1 2
- 4 papers2023 · T1 1
T1 venuesOtherVenues: Nature Communications, npj Digital Medicine, ECCV, Nature
Research focuspaper titles that use each topic's words
- Large language models9 papers
- Medical imaging & healthcare AI7 papers
- Vision-language & multimodal6 papers
- medical6 papers
- knowledge-enhanced4 papers
Paper list
From the lab homepage.
20262 papers
20256 papers
- MICCAI2025-Workshop, OralM^3Builder: A Multi-Agent System for Automated Machine Learning in Medical Imaging (opens in a new tab)
- npj Digital MedicineOne Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts (opens in a new tab)
- Nature Communications (T1)Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases (opens in a new tab)
- MICCAI2025, Early AcceptedRadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining (opens in a new tab)
- npj Digital MedicineTowards Evaluating and Building Versatile Large Language Models for Medicine (opens in a new tab)
- Computerized Medical Imaging and Graphics (CMIG)UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training (opens in a new tab)
20246 papers
- Computerized Medical Imaging and Graphics (CMIG)AutoRG-Brain: Grounded Report Generation for Brain MRI (opens in a new tab)
- Nature Communications MedicineDevelopment of a large-scale medical visual question-answering dataset (opens in a new tab)
- ECCV2024 OralKnowledge-enhanced Visual-Language Pretraining for Computational Pathology (opens in a new tab)
- Nature Communications (T1)Large-scale Long-tailed Disease Diagnosis on Radiology Images (opens in a new tab)
- EMNLP2024, MainRaTEScore: A Metric for Radiology Report Generation (opens in a new tab)
- Nature Communications (T1)Towards Building Multilingual Language Model for Medicine (opens in a new tab)
20234 papers
- MICCAI2023-Workshop, OralK-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging (opens in a new tab)
- Nature Communications (T1)Knowledge-enhanced Pre-training for Auto-diagnosis of Chest Radiology Images (opens in a new tab)
- International Conference on Computer Vision (ICCV)MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training (opens in a new tab)
- International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
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