Miao Li
Assistant Professor
Works on smart healthcare, medical large language models, and multimodal large models for medical imaging.
Miao Li's lab at Tsinghua works on medical imaging & healthcare AI, large language models and vision-language & multimodal. 6 papers since 2023, 4 at top venues, mostly NeurIPS and ACM MM. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 67%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 1
- 3 papers2024 · T1 3
- 0 papers2023 · T1 0
T1 venuesOtherVenues: NeurIPS, ACM MM, ICML, IJCAI
Research focuspaper titles that use each topic's words
- Large language models4 papers
- Vision-language & multimodal4 papers
- Medical imaging & healthcare AI2 papers
- medical2 papers
- smart healthcare0 papers
Paper list
From the lab homepage.
20253 papers
- IJCAI (T1)Connector-S: A Survey of Connectors in Multi-modal Large Language Models[C]
- —Enhancing elusive clues in knowledge learning by contrasting attention of language models[C]//AAAI 2025
- ACM MMEnhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data[C]
20243 papers
- NeurIPS (T1)Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE[C]
- NeurIPS (T1)Zhang X, Li M, Wu J. Co-occurrence is not Factual Association in Language Models[C]
- ICML (T1)Zhang X, Li M, Wu J. Conditional language learning with context[C]
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
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
- Not collected
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