Hong-Yu Chen | Northwestern University

Department of Computer Science.
Address: Mudd Hall 3205, 2233 Tech Drive, Third Floor, Evanston, IL 60208.
Email: charlie.chen@u.northwestern.edu.

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Hi, I’m a first-year PhD student at Northwestern University in MAGICS lab advised by Prof. Han Liu. I focus on advancing the understanding and application of foundation models. My research explores their theoretical foundations, including their universal approximation capabilities, potential to perform complex algorithms, and their links to associative memory such as Hopfield Model. I also work on extending their applications beyond language and vision, particularly in time series analysis and other scientific domain such as astrophysics. I received my B.S. degree in Physics from National Taiwan University, advised by Prof. Hsi-Sheng Goan.

news

Sep 04, 2025 Gave a talk at Open SkAI 2025 on our project StarEmbed-GPT.

selected publications

  1. Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
    Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Haozheng Luo, Hong-Yu Chen, Weijian Li, Wei-Po Wang, and Han Liu
    In Proceedings of the 41st International Conference on Machine Learning, 21–27 jul 2024
  2. Universal Approximation with Softmax Attention
    Jerry Yao-Chieh Hu*, Hude Liu*, Hong-Yu Chen*, Weimin Wu, and Han Liu
    21–27 jul 2025
    *Equal Contribution
  3. StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars
    Weijian Li, Hong-Yu Chen, Qinjie Lin, Nabeel Rehemtulla, Ved G. Shah, Dennis Wu, Adam A. Miller, and Han Liu
    21–27 jul 2025
  4. Learning spectral methods by transformers
    Yihan He, Yuan Cao, Hong-Yu Chen, Dennis Wu, Jianqing Fan, and Han Liu
    arXiv preprint arXiv:2501.01312, 21–27 jul 2025