Yingtian Zou
助理教授
Works on out-of-distribution generalization, learning theory and world models.
Yingtian Zou's lab at SJTU works on learning theory & optimization and generative & foundation models. 5 papers since 2023, 5 at top venues, mostly CVPR and EMNLP. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 100%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 2
- 2 papers2024 · T1 2
- 1 papers2023 · T1 1
T1 venuesOtherVenues: CVPR, EMNLP, ICLR, IJCAI, UAI
Research focuspaper titles that use each topic's words
- generalization2 papers
- Learning theory & optimization0 papers
- Generative & foundation models0 papers
- world models0 papers
- world0 papers
Paper list
From the lab homepage and DBLP.
20252 papers
20242 papers
- IJCAI (T1)Cross-Domain Feature Augmentation for Domain Generalization (opens in a new tab)
- ICLR (T1)Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
20231 paper
- UAI (T1)MixupE: Understanding and Improving Mixup from Directional Derivative Perspective
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 and DBLP
- Members
- Not collected
- Alumni
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Tiers are venue classifications, not lab rankings.
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