Yan Leng
Assistant Professor
Develops interpretable machine learning on networks, studies network spillovers and human-centric interpretability of generative AI.
Yan Leng's lab at UT Austin works on trustworthy & safe ML, generative & foundation models and interpretability, evaluation & safety of LMs. 8 papers since 2023, 2 at top venues, mostly Findings of EMNLP and Management Science. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 25%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 1
- 3 papers2024 · T1 0
- 1 papers2023 · T1 1
T1 venuesOtherVenues: Findings of EMNLP, Management Science, TKDE
Research focuspaper titles that use each topic's words
- Trustworthy & safe ML0 papers
- Generative & foundation models0 papers
- Interpretability, evaluation & safety of LMs0 papers
- develops interpretable0 papers
- business0 papers
Paper list
From the lab homepage.
20261 paper
20253 papers
- Management Science (T1)Adaptive Data Acquisition for Personalized Recommendations with Optimality Guarantees on Short-Form Video Platforms (opens in a new tab)
- Information Systems ResearchBeyond Pairwise Network Interactions: Implications for Information Centrality (opens in a new tab)
- Neural Information Processing Systems (NeurIPS)Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction (opens in a new tab)
20243 papers
- Information Systems ResearchCalibration of Heterogeneous Treatment Effects in Randomized Experiments (opens in a new tab)
- International Conference on Machine Learning [ICML]Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders (opens in a new tab)
- Information Systems ResearchLong-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
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- English
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- Fee
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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
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Tiers are venue classifications, not lab rankings.
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