CV

Contact Information

Name Xiaotian Liu
Professional Title Ph.D. Candidate in Computer Science
Email Xiaotian.Liu-2.GR at Dartmouth.edu

Professional Summary

Ph.D. candidate specializing in AI for Science with experience in neural operators, iterative refinement, and flow-based models. Published and accepted work spans neural operators for scientific computing (ICML 2026 Spotlight, top 2.2%), ensemble learning optimization theory (NeurIPS 2024), and multi-modal contrastive learning (IEEE TPAMI 2022).

Education

  • 2023 - present

    Hanover, NH

    Ph.D.
    Dartmouth College
    Computer Science
    • Advisor: Dr. Yaoqing Yang
    • Focus: AI for Science, Neural Operators, Scientific Machine Learning
  • 2020 - 2023

    Winston-Salem, NC

    M.S.
    Wake Forest University
    Computer Science
    • GPA: 4.0/4.0
    • Advisor: Dr. Grey Ballard
  • 2016 - 2020

    Winston-Salem, NC

    B.S.
    Wake Forest University
    Mathematics and Computer Science
    • GPA: 3.68/4.0, Magna Cum Laude

Experience

  • 2023 - present

    Hanover, NH

    Graduate Research Assistant
    Dartmouth College
    Advisor: Dr. Yaoqing Yang
    • [ICML 2026 Spotlight] Developed IRNO, an iterative refinement framework for neural operators achieving 50–80% relative error reduction across fluid dynamics, active matter, and climate benchmarks, with convergence rate O(log(‖e₀‖/ε)) and large-scale training across 12 A100 GPUs on ERA5 (4.7 TB)
    • [ICML 2026] Developed RL4RLA, a curriculum-driven RL framework that autonomously rediscovered 11 classical randomized linear algebra algorithms with 10× improvement in multi-objective performance
    • [NeurIPS 2024] Developed SharpBalance, achieving 2.5% accuracy improvement on OOD tasks with <1% computational overhead via theoretical analysis of the sharpness-diversity tradeoff
  • 2024 - 2024

    Hanover, NH

    Head Teaching Assistant, Introduction to Algorithms
    Dartmouth College
  • 2023 - 2023

    Hanover, NH

    Teaching Assistant, Discrete Mathematics
    Dartmouth College
  • 2021 - 2022

    Winston-Salem, NC

    Research Assistant
    Wake Forest University
    Advisor: Dr. Grey Ballard
    • Optimized CP-ALS tensor decomposition by integrating QR decomposition, improving numerical stability and convergence for large-scale scientific datasets
    • Implemented and benchmarked parallel tensor decomposition on HPC clusters
    • Published in Numerical Linear Algebra with Applications
  • 2020 - 2023

    Winston-Salem, NC

    Teaching Assistant
    Wake Forest University
    • Data Visualization, Fundamentals of CS, Introduction to CS
  • 2021 - 2021

    Shanghai, China

    Data Scientist Intern
    Brunswick Group
    • Applied NLP methods (topic modeling, embeddings, NER) to analyze large-scale unstructured data
    • Built automated pipelines processing multi-source survey and social media data into actionable insights
    • Translated complex analyses into strategic recommendations for pharmaceutical clients

Awards

  • 2026
    ICML Spotlight Presentation (Top 2.2%)
    ICML 2026
  • 2025
    Best Reviewer Award (top 4%)
    AISTATS 2025
  • 2024
    NeurIPS Scholar Award
    NeurIPS 2024
  • 2021
    Graduate Excellence Award
    Wake Forest University
  • 2019
    Walter Low Tatum Scholarship in Mathematics
    Wake Forest University

    Awarded to 2 of 110 mathematics majors

  • 2019
    Wake Forest Research Fellowship
    Wake Forest University

Skills

Programming Languages (): Python, MATLAB, C++, Java, LaTeX
Frameworks & Tools (): PyTorch, TensorFlow, Open MPI, Slurm, Hugging Face
Data & Scientific Computing (): NumPy, Pandas, Scikit-learn, SciPy, Matplotlib