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Zixuan (Wenny) Xie

Ph.D. Student
University of Virginia
pyt9dp@virginia.edu


About Me

I am a 2nd year Ph.D. student in the Department of Computer Science at the University of Virginia, where I am fortunate to work with Prof. Shangtong Zhang in the Sequential Intelligence Lab (SIL). My current research focuses on analyzing the convergence rates of various Reinforcement Learning algorithms under different noise conditions.

Prior to joining UVA, I received my Bachelor’s degree in Software Engineering from Fudan University, where I had the privilege of conducting research under the guidance of Prof. Zhongzhi Zhang. During my academic journey, I also had the valuable opportunity to participate in the Learning, Optimization, and Games reading group led by Prof. Xiaoqi Tan while being an exchange student at the University of Alberta in 2023.

News

Publications

* indicates equal contribution, bold text indicates corresponding authors.

  1. Combinatorial Properties for a Class of Simplicial Complexes Extended from Pseudo-fractal Scale-free Web
    Zixuan Xie, Yucheng Wang, Wanyue Xu, Liwang Zhu, Wei Li, and Zhongzhi Zhang
    Fractals-Complex Geometry, Patterns, and Scaling in Nature and Society, 2023.
    PDF
  2. Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian Noise
    Xiaochi Qian*, Zixuan Xie*, Xinyu Liu*, Shangtong Zhang
    PDF
  3. Linear Q-Learning Does Not Diverge: Convergence Rates to a Bounded Set
    Xinyu Liu*, Zixuan Xie*, Shangtong Zhang
    International Conference on Machine Learning, 2025.
    PDF
  4. Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
    Zixuan Xie*, Xinyu Liu*, Rohan Chandra, Shangtong Zhang
    The Annual Conference on Neural Information Processing Systems, 2025.
    PDF

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