GPU-based acceleration of an RNA tertiary structure prediction algorithm. - Yongkweon Jeon; Eesuk Jung; Hyeyoung Min; Eui-Young Chung; Sungroh Yoon (Comput. Biol. Medicine, 2013)

Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures. - Yongkweon Jeon; Joong-Ho Won; Sungroh Yoon (IEEE Trans. Biomed. Eng., 2013)

Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming. - Joong-Ho Won; Yongkweon Jeon; Jarrett Rosenberg; Sungroh Yoon; Geoffrey D. Rubin; Sandy Napel (IEEE Trans. Vis. Comput. Graph., 2013)

Multi-Threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining. - Yongkweon Jeon; Sungroh Yoon (IEEE Trans. Parallel Distributed Syst., 2015)

NC-Link: A New Linkage Method for Efficient Hierarchical Clustering of Large-Scale Data. - Yongkweon Jeon; Jaeyoon Yoo; Jongsun Lee; Sungroh Yoon (IEEE Access, 2017)

Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk. - Jongsun Lee; Hyun-Soo Choi; Yongkweon Jeon; Yongsik Kwon; Donghun Lee 001; Sungroh Yoon (BDCAT, 2018)

Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. - Insoo Chung; Byeongwook Kim; Yoonjung Choi; Se Jung Kwon; Yongkweon Jeon; Baeseong Park; Sangha Kim 002; Dongsoo Lee (EMNLP (Findings), 2020)

FleXOR: Trainable Fractional Quantization. - Dongsoo Lee; Se Jung Kwon; Byeongwook Kim; Yongkweon Jeon; Baeseong Park; Jeongin Yun (NeurIPS, 2020)

BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs. - Yongkweon Jeon; Baeseong Park; Se Jung Kwon; Byeongwook Kim; Jeongin Yun; Dongsoo Lee (SC, 2020)

Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization. - Byeongwook Kim; Dongsoo Lee; Yeonju Ro; Yongkweon Jeon; Se Jung Kwon; Baeseong Park; Daehwan Oh (CoRR, 2021)

Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity. - Baeseong Park; Se Jung Kwon; Dongsoo Lee; Daehwan Oh; Byeongwook Kim; Yongkweon Jeon; Yeonju Ro (CoRR, 2021)

Modulating Regularization Frequency for Efficient Compression-Aware Model Training. - Dongsoo Lee; Se Jung Kwon; Byeongwook Kim; Jeongin Yun; Baeseong Park; Yongkweon Jeon (CoRR, 2021)

Mr.BiQ: Post-Training Non-Uniform Quantization based on Minimizing the Reconstruction Error. - Yongkweon Jeon; Chungman Lee; Eulrang Cho; Yeonju Ro (CVPR, 2022)

Genie: Show Me the Data for Quantization. - Yongkweon Jeon; Chungman Lee; Ho-Young Kim (CVPR, 2023)

A Frustratingly Easy Post-Training Quantization Scheme for LLMs. - Yongkweon Jeon; Chungman Lee; Kyungphil Park; Ho-Young Kim (EMNLP, 2023)

Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers. - Junhan Kim; Chungman Lee; Eulrang Cho; Kyungphil Park; Ho-Young Kim; Joonyoung Kim; Yongkweon Jeon (NeurIPS, 2024)

Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers. - Junhan Kim; Kyungphil Park; Chungman Lee; Ho-Young Kim; Joonyoung Kim; Yongkweon Jeon (CoRR, 2024)

Attention-aware Post-training Quantization without Backpropagation. - Junhan Kim; Ho-Young Kim; Eulrang Cho; Chungman Lee; Joonyoung Kim; Yongkweon Jeon (CoRR, 2024)