CNShanghai Jiao Tong UniversitySchool of Integrated Circuits (Information and Electronic Engineering)
Jiangchao Yao
副教授
Works on efficiency optimization of large models and agents and medical AI.
Jiangchao Yao's lab at SJTU works on learning theory & optimization and large language models. 11 papers since 2023, 10 at top venues, mostly CVPR and ICLR. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 91%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 7 papers2024 · T1 7
- 3 papers2023 · T1 3
T1 venuesOtherVenues: CVPR, ICLR, NeurIPS, ICML, TMI
Research focuspaper titles that use each topic's words
- Learning theory & optimization4 papers
- Large language models3 papers
- efficiency0 papers
- large models0 papers
- integrated circuits0 papers
Paper list
From the lab homepage.
20251 paper
- CMIGUniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training
20247 papers
- ICLR (T1)Long-tailed Diffusion Models with Oriented Calibration
- CVPR (T1)Low-Rank Knowledge Decomposition for Medical Foundation Models
- CVPR (T1)Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
- NeurIPS (T1)Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
- ICLR (T1)Tsang, Ya Zhang, Yanfeng Wang†
- ICML (T1)Tsang, Yanfeng Wang†
- TMI (T1)UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
20233 papers
- CVPR (T1)Class-Balancing Diffusion Models
- NeurIPS (T1)Combating Representation Learning Disparity with Geometric Harmonization
- ICLR (T1)Long-tailed Partial Label Learning via Dynamic Rebalancing
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
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- Fee
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Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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