Image enhancement in the JPEG domain for people with vision impairment. - Jinshan Tang; Jeonghoon Kim; Eli Peli (IEEE Trans. Biomed. Eng., 2004)

A Hospital-tethered Mobile Personal Health Records: Comparison of Patient Engagement Function Usage Pattern According to Version-up. - Yura Lee; Yu Rang Park; Jae Ho Lee; Ji-Young Kim; Jeonghoon Kim; Woo-Sung Kim (AMIA, 2018)

Reliability characterization of advanced CMOS image sensor (CIS) with 3D stack and in-pixel DTI. - 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; et al. (IRPS, 2018)

Binarized Encoder-Decoder Network and Binarized Deconvolution Engine for Semantic Segmentation. - Hyunwoo Kim; Jeonghoon Kim; Jungwook Choi; Jungkeol Lee; Yong Ho Song (IEEE Access, 2021)

OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space. - Sungkwon An; Jeonghoon Kim; Myungjoo Kang; Shahbaz Razaei; Xin Liu (CoRR, 2021)

Towards a Federated Learning Framework for Heterogeneous Devices of Internet of Things. - Huanle Zhang; Jeonghoon Kim (CoRR, 2021)

CogME: A Novel Evaluation Metric for Video Understanding Intelligence. - Minjung Shin; Jeonghoon Kim; Seongho Choi 001; Yu-Jung Heo; Donghyun Kim; Min Su Lee; Byoung-Tak Zhang; Jeh-Kwang Ryu (CoRR, 2021)

AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. - Se Jung Kwon; Jeonghoon Kim; Jeongin Bae; Kang Min Yoo; Jin-Hwa Kim; Baeseong Park; Byeongwook Kim; Jung-Woo Ha 001; Nako Sung; Dongsoo Lee (EMNLP (Findings), 2022)

Demusa: Demo for Multimodal Sentiment Analysis. - Soyeon Hong; Jeonghoon Kim; Donghoon Lee; Hyunsouk Cho (ICME Workshops, 2022)

ProFeat: Unsupervised image clustering via progressive feature refinement. - Jeonghoon Kim; Sunghoon Im; Sunghyun Cho (Pattern Recognit. Lett., 2022)

Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic. - Yulhwa Kim; Jaeyong Jang; Jehun Lee; Jihoon Park; Jeonghoon Kim; Byeongwook Kim; Baeseong Park; Se Jung Kwon; Dongsoo Lee; Jae-Joon Kim (ICLR, 2023)

FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. - Jung Hyun Lee; Jeonghoon Kim; Se Jung Kwon; Dongsoo Lee (ICML, 2023)

Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. - Jeonghoon Kim; Jung Hyun Lee; Sungdong Kim; Joonsuk Park; Kang Min Yoo; Se Jung Kwon; Dongsoo Lee (NeurIPS, 2023)

Domain Generalization in LiDAR Semantic Segmentation Leveraged by Density Discriminative Feature Embedding. - Jaeyeul Kim; Jungwan Woo; Jeonghoon Kim; Sunghoon Im (CoRR, 2023)

Machine Learning Applications and Developments for Swine Industry - Jeonghoon Kim (2023)

Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning. - Jeonghoon Kim; Heesoo Jung; Hyeju Jang; Hogun Park (ACL (Findings), 2024)

Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains. - Jaeyeul Kim; Jungwan Woo; Jeonghoon Kim; Sunghoon Im (ECCV (20), 2024)

Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. - Jung Hwan Heo; Jeonghoon Kim; Beomseok Kwon; Byeongwook Kim; Se Jung Kwon; Dongsoo Lee (ICLR, 2024)

LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. - Gunho Park; Baeseong Park; Minsub Kim; Sungjae Lee 002; Jeonghoon Kim; Beomseok Kwon; Se Jung Kwon; Byeongwook Kim; Youngjoo Lee; Dongsoo Lee (ICLR, 2024)

LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. - Jung Hyun Lee; Jeonghoon Kim; June Yong Yang; Se Jung Kwon; Eunho Yang; Kang Min Yoo; Dongsoo Lee (NAACL (Long Papers), 2025)

Peri-LN: Revisiting Layer Normalization in the Transformer Architecture. - Jeonghoon Kim; Byeongchan Lee 001; Cheonbok Park; Yeontaek Oh; Beomjun Kim; Taehwan Yoo; Seongjin Shin; Dongyoon Han; Jinwoo Shin; Kang Min Yoo (CoRR, 2025)

SAGE-Amine: Generative Amine Design with Multi-Property Optimization for Efficient CO2 Capture. - Hocheol Lim; Hyein Cho; Jeonghoon Kim (CoRR, 2025)

An empirical study on impact of label noise on synthetic tabular data generation. - Jeonghoon Kim; Chao Huang 028; Xin Liu 002 (Mach. Learn., 2025)

ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search. - Hyunseok Lee; Jeonghoon Kim; Beomjun Kim; Jihoon Tack; Chansong Jo; Jaehong Lee; Cheonbok Park; Sookyo In; Jinwoo Shin; Kang Min Yoo (CoRR, 2025)

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models. - Cheonbok Park; Jeonghoon Kim; Joosung Lee; Sanghwan Bae; Jaegul Choo; Kang Min Yoo (CoRR, 2025)

Enhancing Hallucination Detection via Future Context. - Joosung Lee; Cheonbok Park; Hwiyeol Jo; Jeonghoon Kim; Joonsuk Park; Kang Min Yoo (CoRR, 2025)

SAMDWICH: Moment-aware Video-text Alignment for Referring Video Object Segmentation. - Seunghun Lee; Jiwan Seo; Jeonghoon Kim; Siwon Kim; Haeun Yun; Hyogyeong Jeon; Wonhyeok Choi; Jaehoon Jeong; Zane Durante; Sang Hyun Park; Sunghoon Im (CoRR, 2025)

Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training. - Woojin Chung; Jeonghoon Kim (CoRR, 2025)