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ORCIDJeonghoon Kim
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2020 – today
- 2024
[c10]Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park:
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning. ACL (Findings) 2024: 15978-15991- [c9]Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee:
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. ICLR 2024 - [c8]Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee:
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. ICLR 2024 - [i10]Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park:
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning. CoRR abs/2406.07034 (2024) - [i9]Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee:
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. CoRR abs/2407.11534 (2024) - 2023
- [b1]Jeonghoon Kim:
Machine Learning Applications and Developments for Swine Industry. University of California, Davis, USA, 2023 - [c7]Yulhwa Kim, Jaeyong Jang, Jehun Lee, Jihoon Park, Jeonghoon Kim, Byeongwook Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Jae-Joon Kim:
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic. ICLR 2023 - [c6]Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee:
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. ICML 2023: 18913-18939 - [c5]Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee:
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. NeurIPS 2023 - [i8]Jeonghoon Kim
, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee:
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. CoRR abs/2305.14152 (2023) - [i7]Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee:
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. CoRR abs/2306.00317 (2023) - [i6]Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee:
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. CoRR abs/2309.15531 (2023) - [i5]Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im:
Domain Generalization in LiDAR Semantic Segmentation Leveraged by Density Discriminative Feature Embedding. CoRR abs/2312.12098 (2023) - 2022
- [j3]Jeonghoon Kim, Sunghoon Im, Sunghyun Cho:
ProFeat: Unsupervised image clustering via progressive feature refinement. Pattern Recognit. Lett. 164: 166-172 (2022) - [c4]Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee:
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. EMNLP (Findings) 2022: 3288-3305 - [c3]Soyeon Hong, Jeonghoon Kim, Donghoon Lee, Hyunsouk Cho:
Demusa: Demo for Multimodal Sentiment Analysis. ICME Workshops 2022: 1 - [i4]Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee:
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. CoRR abs/2210.03858 (2022) - 2021
- [j2]Hyunwoo Kim, Jeonghoon Kim, Jungwook Choi, Jungkeol Lee, Yong Ho Song:
Binarized Encoder-Decoder Network and Binarized Deconvolution Engine for Semantic Segmentation. IEEE Access 9: 8006-8027 (2021) - [i3]Sungkwon An, Jeonghoon Kim, Myungjoo Kang, Shahbaz Razaei, Xin Liu:
OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space. CoRR abs/2101.02358 (2021) - [i2]Huanle Zhang, Jeonghoon Kim:
Towards a Federated Learning Framework for Heterogeneous Devices of Internet of Things. CoRR abs/2105.14675 (2021) - [i1]Minjung Shin, Jeonghoon Kim, Seongho Choi, Yu-Jung Heo, Donghyun Kim, Min Su Lee, Byoung-Tak Zhang, Jeh-Kwang Ryu:
CogME: A Novel Evaluation Metric for Video Understanding Intelligence. CoRR abs/2107.09847 (2021)
2010 – 2019
- 2018
- [c2]Yura Lee, Yu Rang Park, Jae Ho Lee, Ji-Young Kim, Jeonghoon Kim, Woo-Sung Kim:
A Hospital-tethered Mobile Personal Health Records: Comparison of Patient Engagement Function Usage Pattern According to Version-up. AMIA 2018 - [c1]Younggeun Ji, Jeonghoon Kim, Jungin Kim, Miji Lee, Jaeheon Noh, Taeyoung Jeong, Juhyeon Shin, Junho Kim, Young Heo, Ung Cho, Hyun-Chul Sagong, Junekyun Park, Yeonsik Choo, Gilhwan Do, Hoyoung Kang, Eunkyeong Choi, Dongyoon Sun, Changki Kang, Sangchul Shin, Sangwoo Pae:
Reliability characterization of advanced CMOS image sensor (CIS) with 3D stack and in-pixel DTI. IRPS 2018: 3
2000 – 2009
- 2004
- [j1]Jinshan Tang, Jeonghoon Kim, Eli Peli:
Image enhancement in the JPEG domain for people with vision impairment. IEEE Trans. Biomed. Eng. 51(11): 2013-2023 (2004)
Coauthor Index
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