Peilin Zhao
教授
Works on machine learning, including LLM safety alignment, reinforcement learning, AutoML and AI for drug discovery.
Peilin Zhao's lab at SJTU works on reinforcement learning, trustworthy & safe ML and interpretability, evaluation & safety of LMs. 8 papers since 2023, 8 at top venues, mostly ICML and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 100%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 6
- 1 papers2024 · T1 1
- 1 papers2023 · T1 1
T1 venuesOtherVenues: ICML, AAAI, IJCAI
Research focuspaper titles that use each topic's words
- Reinforcement learning1 paper
- Trustworthy & safe ML0 papers
- Interpretability, evaluation & safety of LMs0 papers
- drug discovery0 papers
- drug0 papers
Paper list
From the lab homepage.
20256 papers
- ICML (T1)Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
- ICML (T1)Measuring Diversity in Synthetic Datasets
- ICML (T1)NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
- ICML (T1)Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
- ICML (T1)Self-Bootstrapping for Versatile Test-Time Adaptation
- ICML (T1)Test-time Adapted Reinforcement Learning with Action Entropy Regularization
20241 paper
- AAAI (T1)Latent Diffusion Transformer for Probabilistic Time Series Forecasting
20231 paper
- IJCAI (T1)Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction
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
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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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- The lab homepage
- Members
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- Alumni
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