Donghyun Son

prof_pic.png

I’m currently looking for job or Ph.D. opportunities that are aligned with my interests. Feel free to reach me!

I am an undergraduate student majoring in Computer Science and Engineering at Seoul National University, currently studying abroad as an exchange student at UT Austin. Here, I am fortunate to work with Saurabh Agarwal on building efficient agentic systems, advised by Aditya Akella. At SNU, I conducted research on KV cache quantization algorithms under the supervision of Sungjoo Yoo. Prior to that, I worked as a machine learning engineer at Hyperconnect (acquired by Match Group), where I developed ML-based content moderation systems for Match Group brands (Tinder, Hinge).

My research interests focus on efficient machine learning systems, particularly in:

  • efficient long-context inference
  • data- and compute-efficient training of large models
  • efficient system for deploying large models

Aside from research, I enjoy algorithmic problem solving and have competed in competitive programming contests. You can find me on codeforces and BOJ.

Links: Github / CV / Google Scholar / X

 

Selected Publications

  1. NeurIPS 2025
    NSNQuant.png
    NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
    Donghyun Son, Euntae Choi, and Sungjoo Yoo
    In Advances in Neural Information Processing Systems (NeurIPS), 2025
    arXiv
  2. WSDM 2023 (Oral)
    wsdm23.png
    Reliable decision from multiple subtasks through threshold optimization: Content moderation in the wild
    Donghyun Son*, Byounggyu Lew*, Kwanghee Choi, and 5 more authors
    In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM), 2023
    arXiv
  3. OOD-CV@ICCV23
    ood-cv23.png
    Gradient estimation for unseen domain risk minimization with pre-trained models
    Byounggyu Lew*, Donghyun Son*, and Buru Chang
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
    arXiv