Kim, Hyun

8 publications

ICLR 2026 MergePRAG: Orthogonal Merging of Passage-Experts for Multi-Hop Parametric RAG Xuebing Liu, Shanbao Qiao, Roseline Nyange, Dongwook Min, Hyun Kim, Seung-Hoon Na

AAAI 2025 GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers Dahun Choi, Hyun Kim

ICML 2025 LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers Beom Jin Kang, Namjoon Kim, Hyun Kim

NeurIPS 2025 MemEIC: A Step Toward Continual and Compositional Knowledge Editing Jin Seong, Jiyun Park, Wencke Liermann, Hongseok Choi, Yoonji Nam, Hyun Kim, Soojong Lim, Namhoon Lee

IJCAI 2024 HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks Nam Joon Kim, Jongho Lee, Hyun Kim

NeurIPS 2024 L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer Jin Shin, Hyun Kim

AAAI 2024 SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel

ICCV 2019 Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving Jiwoong Choi, Dayoung Chun, Hyun Kim, Hyuk-Jae Lee