Sensor-based Remote Quality Control Application in Automotive Components Assembly. - Yongjin James Kwon; Yongmin Park; Jungwan Hong; Sang C. Park (Concurr. Eng. Res. Appl., 2010)

Application of data mining techniques to monitor the network-controllable robot's performance. - Yongjin James Kwon; Yongmin Park; Jungwan Hong (IEEM, 2011)

Improvement of vision guided robotic accuracy using Kalman filter. - Yongjin James Kwon; Yongmin Park (Comput. Ind. Eng., 2013)

Study on Analysis of Security Vulnerabilities and Countermeasures in ISO/IEC 15118 Based Electric Vehicle Charging Technology. - Seokcheol Lee; Yongmin Park; Hyunwoo Lim; Taeshik Shon (ICITCS, 2014)

Applying Digital Forensics in Various Application Fields: Required Elements for Having Legal Force. - Yongmin Park; Seokjun Lee; Jongwan Kim; Taeshik Shon (ICITCS, 2014)

Image quality evaluation of LCDs based on novel RGBW sub-pixel structure. - Sungjin Kim; Dongwoo Kang; Jinsang Lee; Jaekyeom Kim; Yongmin Park; Taeseong Han; Sooyeon Jung; Jang Jin Yoo; Moojong Lim; JongSang Baek (IQSP, 2015)

Data investigation based on XFS file system metadata. - Yongmin Park; Hyun Soo Chang; Taeshik Shon (Multim. Tools Appl., 2016)

A video dehazing system based on fast airlight estimation. - Yongmin Park; Tae-Hwan Kim (GlobalSIP, 2017)

Efficient SIMD implementation of binarized convolutional neural network. - Yongmin Park; Seongchan Kim; Tae-Hwan Kim (ICCE, 2018)

Evaluation of High Dynamic Range TVs using Actual HDR Content. - Sungjin Kim; Yongmin Park; Dongwoo Kang; Jongjin Park; Jangjin Yoo; Jonguk Bae; Sooyoung Yoon (CIC, 2018)

High-Quality and Fast Dehazing Method Based on Modified Median Dark Channel. - Tae-Hwan Kim; Yongmin Park (TENCON, 2018)

Fast Execution Schemes for Dark-Channel-Prior-Based Outdoor Video Dehazing. - Yongmin Park; Tae-Hwan Kim (IEEE Access, 2018)

Effect of color gamut and luminance on observer metamerism in HDR displays. - Yongmin Park; Michael J. Murdoch (CIC, 2020)

Observer metamerism: Why do [mis]matches of neutral appear pinkish or greenish? - Yongmin Park; Michael J. Murdoch; Mark D. Fairchild (CIC, 2020)

EXAONE 3.0 7.8B Instruction Tuned Language Model. - Soyoung An; Kyunghoon Bae; Eunbi Choi; Stanley Jungkyu Choi; Yemuk Choi; Seokhee Hong; Yeonjung Hong; Junwon Hwang; Hyojin Jeon; Gerrard Jeongwon Jo; Hyunjik Jo; Jiyeon Jung; et al. (CoRR, 2024)

EXAONE 3.5: Series of Large Language Models for Real-world Use Cases. - LG AI Research; Soyoung An; Kyunghoon Bae; Eunbi Choi; Kibong Choi; Stanley Jungkyu Choi; Seokhee Hong; Junwon Hwang; Hyojin Jeon; Gerrard Jeongwon Jo; Hyunjik Jo; Jiyeon Jung; et al. (CoRR, 2024)

Do Not Trust Licenses You See: Dataset Compliance Requires Massive-Scale AI-Powered Lifecycle Tracing. - Jaekyeom Kim; Sungryull Sohn; Gerrard Jeongwon Jo; Jihoon Choi; Kyunghoon Bae; Hwayoung Lee; Yongmin Park; Honglak Lee (CoRR, 2025)

EXAONE Deep: Reasoning Enhanced Language Models. - LG AI Research; Kyunghoon Bae; Eunbi Choi; Kibong Choi; Stanley Jungkyu Choi; Yemuk Choi; Seokhee Hong; Junwon Hwang; Hyojin Jeon; Kijeong Jeon; Gerrard Jeongwon Jo; Hyunjik Jo; et al. (CoRR, 2025)

MolMole: Molecule Mining from Scientific Literature. - LG AI Research; Sehyun Chun; Jiye Kim; Ahra Jo; Yeonsik Jo; Seungyul Oh; Seungjun Lee; Kwangrok Ryoo; Jongmin Lee; Seung Hwan Kim; Byung Jun Kang; Soonyoung Lee; et al. (CoRR, 2025)

EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes. - Kyunghoon Bae; Eunbi Choi; Kibong Choi; Stanley Jungkyu Choi; Yemuk Choi; Kyubeen Han; Seokhee Hong; Junwon Hwang; Taewan Hwang; Joonwon Jang; Hyojin Jeon; Kijeong Jeon; et al. (CoRR, 2025)