I am a Ph.D. student at UC San Diego. I am fortunate to be advised by Yi-An Ma. I am also fortunate to work closely with Yu-Xiang Wang and Biwei Huang. Prior to that, I obtained my B.S. degree in Mathematics from Tsinghua University.
My research interest lies in diffusion models, LLM agents, Markov chain Monte Carlo (MCMC), and Differential Privacy.
I am seeking internship opportunities for Summer 2026.
Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data
Haoran Deng*, Yingyu Lin*, Zhenghao Lin, Xiao Liu, Yizhou Sun, Yi-An Ma, Yeyun Gong
Preprint
[arxiv]
On the Complexity Theory of Masked Discrete Diffusion: From poly(1/ε) to Nearly ε-Free
Xunpeng Huang*, Yingyu Lin*, Nishant Jain, Kaibo Wang, Difan Zou, Yian Ma, Tong Zhang
Preprint
[arxiv]
Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion
Xunpeng Huang*, Yingyu Lin*, Nikki Lijing Kuang, Hanze Dong, Difan Zou, Yian Ma, Tong Zhang
Preprint
[arxiv]
Purifying Approximate Differential Privacy with Randomized Post-processing
Yingyu Lin*, Erchi Wang*, Yi-An Ma, Yu-Xiang Wang
Advances of Neural Information Processing (NeurIPS), 2025. (Spotlight)
Theory and Practice of Differential Privacy (TPDP) Workshop, 2025. (Contributed talk)
[arxiv]
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
Yingyu Lin*, Yuxing Huang*, Wenqin Liu*, Haoran Deng*, Ignavier Ng, Kun Zhang, Mingming Gong, Yi-An Ma, Biwei Huang
International Conference on Learning Representations (ICLR), 2025.
[arxiv]
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
Yingyu Lin*, Yi-An Ma*, Yu-Xiang Wang*, Rachel Redberg, Zhiqi Bu
International Conference on Learning Representations (ICLR), 2024 .
Email: yil208@ucsd.edu
Google Scholar Page: Yingyu Lin