Shuo Wang
Tenured Track Associate Professor
Works on trustworthy AI, including large model security and compliance and controllable safety of agent systems.
Shuo Wang's lab at SJTU works on trustworthy & safe ML, interpretability, evaluation & safety of LMs and large language models. Applications close .
At a glance
- papers, 2023–2026
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- at T1 venues
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- PhD students
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- MS students
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- alumni listed
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Papers by year2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOther
Paper list
No papers from 2023–2026 are listed for this lab.
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.
Similar labsnearest by research summary
- SGNTU
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Siliang Tang
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- CNSJTU
Chaoxiang He
- Trustworthy & safe ML
- CNSJTU
Shaobo Cui
- Probabilistic & causal inference
- USGeorgia Tech
Kartik Goyal
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- USGeorgia Tech
Faramarz Fekri
- Reasoning & neuro-symbolic AI
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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.
- No publication list could be matched on the lab site or in DBLP.
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