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Yongkweon Jeon
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2020 – today
- 2024
- [i9]Junhan Kim, Kyungphil Park, Chungman Lee, Ho-Young Kim, Joonyoung Kim, Yongkweon Jeon:
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers. CoRR abs/2402.08958 (2024) - [i8]Junhan Kim, Ho-Young Kim, Eulrang Cho, Chungman Lee, Joonyoung Kim, Yongkweon Jeon:
Attention-aware Post-training Quantization without Backpropagation. CoRR abs/2406.13474 (2024) - 2023
- [c7]Yongkweon Jeon, Chungman Lee, Ho-Young Kim:
Genie: Show Me the Data for Quantization. CVPR 2023: 12064-12073 - [c6]Yongkweon Jeon, Chungman Lee, Kyungphil Park, Ho-Young Kim:
A Frustratingly Easy Post-Training Quantization Scheme for LLMs. EMNLP 2023: 14446-14461 - 2022
- [c5]Yongkweon Jeon, Chungman Lee, Eulrang Cho, Yeonju Ro:
Mr.BiQ: Post-Training Non-Uniform Quantization based on Minimizing the Reconstruction Error. CVPR 2022: 12319-12328 - [i7]Yongkweon Jeon, Chungman Lee, Ho-Young Kim:
Genie: Show Me the Data for Quantization. CoRR abs/2212.04780 (2022) - 2021
- [i6]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 abs/2105.01868 (2021) - [i5]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 abs/2105.01869 (2021) - [i4]Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Baeseong Park, Yongkweon Jeon:
Modulating Regularization Frequency for Efficient Compression-Aware Model Training. CoRR abs/2105.01875 (2021) - 2020
- [c4]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: 4812-4826 - [c3]Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun:
FleXOR: Trainable Fractional Quantization. NeurIPS 2020 - [c2]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: 95 - [i3]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 abs/2005.09904 (2020) - [i2]Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun:
FleXOR: Trainable Fractional Quantization. CoRR abs/2009.04126 (2020) - [i1]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 abs/2009.07453 (2020)
2010 – 2019
- 2018
- [c1]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: 71-80 - 2017
- [j5]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: 5594-5608 (2017) - 2015
- [j4]Yongkweon Jeon, Sungroh Yoon:
Multi-Threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining. IEEE Trans. Parallel Distributed Syst. 26(9): 2534-2548 (2015) - 2013
- [j3]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): 1011-1022 (2013) - [j2]Yongkweon Jeon, Joong-Ho Won, Sungroh Yoon:
Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures. IEEE Trans. Biomed. Eng. 60(1): 240-244 (2013) - [j1]Joong-Ho Won, Yongkweon Jeon, Jarrett Rosenberg, Sungroh Yoon, Geoffrey D. Rubin
Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming. IEEE Trans. Vis. Comput. Graph. 19(1): 81-93 (2013)
Coauthor Index
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