Donghyun Son

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I am a researcher working at the intersection of ML and systems. I’m particularly interested in algorithms that leverage the inherent sparsity in large models.

During my undergraduate studies, I was fortunate to work with outstanding advisors: Prof. Sungjoo Yoo from SNU, Prof. Buru Chang from Hyperconnect, Prof. Aditya Akella and Dr. Saurabh Agarwal from UT Austin.

I’m open to collaboration, so feel free to reach out.

Links: Github | CV | Google Scholar | X

 

Selected Publications

  1. NeurIPS 2025
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    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)
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    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
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    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