Yufa Zhou

Affiliations:

Duke University, Durham, NC, USA
University of Pennsylvania, Philadelphia, PA, USA

According to our database¹, Yufa Zhou authored at least 20 papers between 2024 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Simple KNN-Based Outlier Detection Achieves Robust Clustering.

[BibT_eX]

[DOI]

Tianle Jiang

Yufa Zhou

CoRR, May, 2026

Grounding and Enhancing Informativeness and Utility in Dataset Distillation.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

Automating Structural Engineering Workflows with Large Language Model Agents.

[BibT_eX]

[DOI]

Haoran Liang

Yufa Zhou

Mohammad Talebi-Kalaleh

Qipei Mei

CoRR, October, 2025

The Geometry of Reasoning: Flowing Logics in Representation Space.

[BibT_eX]

[DOI]

CoRR, October, 2025

Why Do Transformers Fail to Forecast Time Series In-Context?

[BibT_eX]

[DOI]

CoRR, October, 2025

Efficient Multi-modal Large Language Models via Progressive Consistency Distillation.

[BibT_eX]

[DOI]

CoRR, October, 2025

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs.

[BibT_eX]

[DOI]

CoRR, June, 2025

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge.

[BibT_eX]

[DOI]

CoRR, May, 2025

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance.

[BibT_eX]

[DOI]

CoRR, May, 2025

Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Looped ReLU MLPs May Be All You Need as Practical Programmable Computers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Numerical Pruning for Efficient Autoregressive Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Numerical Pruning for Efficient Autoregressive Models.

[BibT_eX]

[DOI]

CoRR, 2024

Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time.

[BibT_eX]

[DOI]

CoRR, 2024

Differential Privacy of Cross-Attention with Provable Guarantee.

[BibT_eX]

[DOI]

CoRR, 2024

Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

Yufa Zhou

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