Donghyun Son — accepted AI-conference papers

2025

NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache

NeurIPS 2025poster

Large Language Model (LLM) inference is typically memory-intensive, especially when processing large batch sizes and long sequences, due to the large size of key-value (KV) cache. Vector Quantization (VQ) is recently adopted to alleviate this issue, but we find that the existing approach is suscepti…

Cited by 0 Source ↗Scholar ↗

2023

Testing the Channels of Convolutional Neural Networks

Kang Choi, Donghyun Son, Younghoon Kim, Jiwon Seo

AAAI 2023technical

Neural networks have complex structures, and thus it is hard to understand their inner workings and ensure correctness. To understand and debug convolutional neural networks (CNNs) we propose techniques for testing the channels of CNNs. We design FtGAN, an extension to GAN, that can generate test da…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗