Yongkweon Jeon

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Information Transfer

Uniform Quantization

Top Venues

Publications

Junhan Kim, Ho-Young Kim, Eulrang Cho, Chungman Lee, Joonyoung Kim, Yongkweon Jeon
Attention-aware Post-training Quantization without Backpropagation. CoRR (2024)
Junhan Kim, Kyungphil Park, Chungman Lee, Ho-Young Kim, Joonyoung Kim, Yongkweon Jeon
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers. CoRR (2024)
Yongkweon Jeon, Chungman Lee, Ho-Young Kim
Genie: Show Me the Data for Quantization. CVPR (2023)
Yongkweon Jeon, Chungman Lee, Kyungphil Park, Ho-Young Kim
A Frustratingly Easy Post-Training Quantization Scheme for LLMs. EMNLP (2023)
Yongkweon Jeon, Chungman Lee, Ho-Young Kim
Genie: Show Me the Data for Quantization. CoRR (2022)
Yongkweon Jeon, Chungman Lee, Eulrang Cho, Yeonju Ro
Mr.BiQ: Post-Training Non-Uniform Quantization based on Minimizing the Reconstruction Error. CVPR (2022)
Byeongwook Kim, Dongsoo Lee, Yeonju Ro, Yongkweon Jeon, Se Jung Kwon, Baeseong Park, Daehwan Oh
Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization. CoRR (2021)
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Baeseong Park, Yongkweon Jeon
Modulating Regularization Frequency for Efficient Compression-Aware Model Training. CoRR (2021)
Baeseong Park, Se Jung Kwon, Dongsoo Lee, Daehwan Oh, Byeongwook Kim, Yongkweon Jeon, Yeonju Ro
Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity. CoRR (2021)
Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. CoRR (2020)
Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. EMNLP (Findings) (2020)
Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee
BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs. CoRR (2020)
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun
FleXOR: Trainable Fractional Quantization. CoRR (2020)
Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee
BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs. SC (2020)
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun
FleXOR: Trainable Fractional Quantization. NeurIPS (2020)
Jongsun Lee, Hyun-Soo Choi, Yongkweon Jeon, Yongsik Kwon, Donghun Lee, Sungroh Yoon
Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk. BDCAT (2018)
Yongkweon Jeon, Jaeyoon Yoo, Jongsun Lee, Sungroh Yoon
NC-Link: A New Linkage Method for Efficient Hierarchical Clustering of Large-Scale Data. IEEE Access 5 (2017)
Yongkweon Jeon, Sungroh Yoon
Multi-Threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining. IEEE Trans. Parallel Distributed Syst. 26 (9) (2015)
Joong-Ho Won, Yongkweon Jeon, Jarrett Rosenberg, Sungroh Yoon, Geoffrey D. Rubin, Sandy Napel
Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming. IEEE Trans. Vis. Comput. Graph. 19 (1) (2013)
Yongkweon Jeon, Eesuk Jung, Hyeyoung Min, Eui-Young Chung, Sungroh Yoon
GPU-based acceleration of an RNA tertiary structure prediction algorithm. Comput. Biol. Medicine 43 (8) (2013)
Yongkweon Jeon, Joong-Ho Won, Sungroh Yoon
Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures. IEEE Trans. Biomed. Eng. 60 (1) (2013)