CV

Education, research experience, publications, awards, and service.

Contact Information

Name Hsun-Yu Kuo
Professional Title M.Sc. Student in Computer Science
Email hsun-yu.kuo@epfl.ch
Location Lausanne,
Website https://hsun-yu.github.io

Professional Summary

M.Sc. student in Computer Science at EPFL with interests in machine learning, data-centric AI, reinforcement learning, extrapolation, robustness, causality, and AI for social good.

Experience

  • 2025 - Present

    Lausanne, Switzerland

    Semester Project Student
    MLO Lab, EPFL
    Advisors: Martin Jaggi and El Mahdi Chayti.
    • Exploring the halting problem in recurrent structures and looped transformers.
  • 2025 - 2025

    Tubingen, Germany

    Research Intern
    Robust Machine Learning Group, Max Planck Institute for Intelligent Systems
    Advisors: Wieland Brendel and Patrik Reizinger.
    • Studied out-of-distribution generalization and extrapolation.
  • 2023 - 2024

    Taipei, Taiwan

    Research Assistant
    CKIP Lab, Academia Sinica and IR Lab, National Taiwan University
    Advisors: Wei-Yun Ma and Pu-Jen Cheng.
    • Worked on data weighting methods for synthetic data to better match real-data distributions.
  • 2021 - 2021

    Taipei, Taiwan

    Intern
    Industrial Technology Research Institute
    • Engineered short- and long-term load forecasting methods for Taiwan Power Company.
  • 2019 - 2021

    Taipei, Taiwan

    Research Assistant
    Wireless System Lab, National Taiwan University of Science and Technology
    Advisor: Chin-Ya Huang.
    • Devised an MTC scheme for dynamic CBRS channel allocation.
    • Implemented RLNC and Galois field arithmetic in P4 and simulated with ONOS and Mininet.

Academic Interests

Machine Learning: Data-centric AI, Reinforcement learning, Extrapolation, Robustness, Causality, AI for social good

Education

  • 2024 - Present

    Lausanne, Switzerland

    M.Sc. in Computer Science
    Swiss Federal Institute of Technology (EPFL)
    Computer Science Theory
    • Coursework: Machine Learning, Advanced Algorithms, Causal Thinking, Mathematics of Data, Markov Chains and Algorithmic Applications, Deep Learning, Reinforcement Learning, and Modern Natural Language Processing.
    • Completed mandatory military service from March to June 2025.
  • 2023 - 2024

    Taipei, Taiwan

    M.Sc. in Data Science
    National Taiwan University
    Data Science
    • Paused studies after June 2024 to pursue a master’s degree at EPFL.
    • Coursework: Machine Learning, Natural Language Processing, Statistical Foundations of Data Science, Computational Methods for Data Science, and Big Data Systems.
  • 2018 - 2022

    Taipei, Taiwan

    B.Sc. in Applied Science and Technology
    National Taiwan University of Science and Technology
    Applied Science and Technology, major in Computer Science
    • Graduated first in the program in 2022.
    • Coursework: Statistics, Probability, Discrete Mathematics, Linear Algebra, Calculus, Algorithms, Data Structures, Database Systems, Operating Systems, Digital Logic Design, Computer Networks, and Machine Learning Foundations.

Publications

  • 2025
    When to Stop and Data Order Matter: On Extrapolation in Looped Transformers
    Working paper

    Joint work with El Mahdi Chayti, Patrik Reizinger, Martin Jaggi, and Wieland Brendel.

  • 2025
    Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification
    ICLR 2025 (Spotlight, top 5.1%)

    Work on synthetic data weighting for text classification with Yin-Hsiang Liao, Yu-Chieh Chao, Wei-Yun Ma, and Pu-Jen Cheng.

  • 2023
    Reliable Data Transmission through Private CBRS Networks
    Preprint

    Collaboration with Szu-Yu Liu, Chin-Ya Huang, Yu-Chi Chen, and Meng-Hua Xie.

  • 2023
    Differential Diagnostic Value of Machine Learning-Based Models for Embolic Stroke
    Clinical and Applied Thrombosis/Hemostasis

    Journal article on machine-learning-based diagnostic models for embolic stroke.

  • 2019
    The Modified Spatial Context Memory Test for Assessing Cognitive Aging in Middle-Aged and Older Adults
    Neuroscience Research

    Co-authored study on cognitive aging assessment.

Skills

Research Areas: Machine learning, Natural language processing, Data-centric AI, Reinforcement learning, Robustness, Extrapolation

Teaching Experience

Teaching Assistant, National Taiwan University: System Programming (Sept. 2023-Jan. 2024). Led TA sessions and supported more than 100 students. Designed a context-switch simulation using non-local jumps and signals for a course assignment.

Honors and Awards

  • 2022
    Phi Tau Phi Scholastic Honor Society of the Republic of China
    Taiwan

    Honorary membership.

  • 2021
    Mengjia Longshan Temple Scholarship
    Taiwan

    Academic Excellence Scholarship for excellent academic performance.

  • 2022
    Academic Excellence Award
    Taiwan

    Seven consecutive awards for excellent academic performance from 2018 to 2022.

  • 2017
    Kanagawa International Science Forum
    Kanagawa, Japan

    First place and Outstanding Poster Presentation Award in the engineering category.

  • 2016
    National Skills Competition
    Taiwan

    First place (Golden Award) in software applications development.

Professional Service

  • Conference reviewer for ICLR 2026.
  • Volunteer at SIGIR 2023.