Yingyu Lin
Scholar

Yingyu Lin

Google Scholar ID: lzISLB0AAAAJ
UC San Diego
machine learning
Citations & Impact
All-time
Citations
10
 
H-index
2
 
i10-index
0
 
Publications
5
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data (Preprint)
  • On the Complexity Theory of Masked Discrete Diffusion: From poly(1/ε) to Nearly ε-Free (Preprint)
  • Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion (Preprint)
  • Purifying Approximate Differential Privacy with Randomized Post-processing (NeurIPS 2025, Spotlight; TPDP Workshop 2025, Contributed Talk)
  • A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery (ICLR 2025)
  • Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy (ICLR 2024)
Research Experience
  • Works closely with Yu-Xiang Wang and Biwei Huang.
Education
  • Ph.D. student at UC San Diego, advised by Yi-An Ma; B.S. in Mathematics from Tsinghua University.
Background
  • Research interests include statistical sampling, Markov chain Monte Carlo (MCMC), differential privacy, diffusion models, and causality.
Miscellany
  • Email: yil208@ucsd.edu