Yongkweon Jeon

According to our database, Yongkweon Jeon authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

2023

A Frustratingly Easy Post-Training Quantization Scheme for LLMs.

Yongkweon Jeon, Chungman Lee, Kyungphil Park, Ho-Young Kim

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Genie: Show Me the Data for Quantization.

Yongkweon Jeon, Chungman Lee, Ho-Young Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Mr.BiQ: Post-Training Non-Uniform Quantization based on Minimizing the Reconstruction Error.

Yongkweon Jeon, Chungman Lee, Eulrang Cho, Yeonju Ro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

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

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

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

Proceedings of the International Conference for High Performance Computing, 2020

FleXOR: Trainable Fractional Quantization.

Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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, Dongsoo Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2018

Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk.

Jongsun Lee, Hyun-Soo Choi, Yongkweon Jeon, Yongsik Kwon, Donghun Lee, Sungroh Yoon

Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018

2017

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

2015

Multi-Threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining.

Yongkweon Jeon, Sungroh Yoon

IEEE Trans. Parallel Distributed Syst., 2015

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

Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures.

Yongkweon Jeon, Joong-Ho Won, Sungroh Yoon

IEEE Trans. Biomed. Eng., 2013

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