My name is Junze Yin. I am a first-year Ph.D. student at Rice University, fortunate to be advised by Professor Maryam Aliakbarpour. I earned my M.A. and B.A. in Mathematics from Boston University, where I had the privilege of being advised by Professor Mark Kon. My research interests lie at the intersection of theoretical computer science and machine learning. Specifically, I am interested in numerical linear algebra, theoretical machine learning, large language models, and fractal geometry.

CV

Research

Accepted Papers (Author names in alphabetical order)

• Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters (Article link).
  Zhao Song, Junze Yin, and Ruizhe Zhang
  QIP 2025
• Fast Dynamic Sampling for Determinantal Point Processes.
  Zhao Song, Junze Yin, Lichen Zhang, and Ruizhe Zhang
  AISTATS 2024
• Solving Attention Kernel Regression Problem via Pre-conditioner (Article link).
  Zhao Song, Junze Yin, and Lichen Zhang
  AISTATS 2024
• Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time (Article link).
  Yuzhou Gu, Zhao Song, Junze Yin, and Lichen Zhang
  ICLR 2024
• Dynamical fractal: Theory and case study (Article link).
  Junze Yin
  Chaos, Solitons & Fractals Volume 176, November 2023, 114190.
  Oral Presentation: JMM 2022, AMS Special Session on Geometry in the Mathematics of Data Science
  
• A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee (Article link).
  Zhao Song, Mingquan Ye, Junze Yin, and Lichen Zhang
  ICML, 2023.