Yaodong Yu
Assistant Professor
Studies trustworthy machine learning, including white-box transformers and differentially private foundation models.
Yaodong Yu's lab at UMD works on generative & foundation models, trustworthy & safe ML and large language models. 17 papers since 2023, 14 at top venues, mostly ICML and ICLR. 1 PhD student.
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 82%
- PhD students
- 1
- MS students
- 0
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 5
- 9 papers2024 · T1 7
- 2 papers2023 · T1 2
T1 venuesOtherVenues: ICML, ICLR, NeurIPS, AISTATS, CVPR
Research focuspaper titles that use each topic's words
- differentially2 papers
- differentially private2 papers
- Generative & foundation models1 paper
- Large language models1 paper
- Trustworthy & safe ML0 papers
Paper list
From DBLP.
20256 papers
- AISTATS (T1)Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation (opens in a new tab)
- CVPR (T1)Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency (opens in a new tab)
- ICML (T1)Attention-Only Transformers via Unrolled Subspace Denoising (opens in a new tab)
- Briefings Bioinform.Large-scale information retrieval and correction of noisy pharmacogenomic datasets through residual thresholded deep matrix factorization (opens in a new tab)
- ICML (T1)Scaling Laws in Patchification: An Image Is Worth 50, 176 Tokens And More (opens in a new tab)
- ICLR (T1)Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction (opens in a new tab)
20249 papers
- ICML (T1)A Global Geometric Analysis of Maximal Coding Rate Reduction (opens in a new tab)
- NAACL (T1)A Study on the Calibration of In-context Learning (opens in a new tab)
- ICML (T1)Differentially Private Representation Learning via Image Captioning (opens in a new tab)
- CPALEmergence of Segmentation with Minimalistic White-Box Transformers (opens in a new tab)
- ICLR (T1)Masked Completion via Structured Diffusion with White-Box Transformers (opens in a new tab)
- NeurIPS (T1)Scaling White-Box Transformers for Vision (opens in a new tab)
- Int. J. Prod. Res.Scheduling a multi-agent flow shop with two scenarios and release dates (opens in a new tab)
- ICML (T1)ViP: A Differentially Private Foundation Model for Computer Vision (opens in a new tab)
- JMLR (T1)White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
- Round
- Single round
- 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 alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.