Low-complexity rate-distortion optimal macroblock mode selection for MPEG-like video coders. - Hyungjoon Kim; Yucel Altunbasak (ICME, 2003)

Low-complexity macroblock mode selection for H.264/AVC encoders. - Hyungjoon Kim; Yucel Altunbasak (ICIP, 2004)

Rate-distortion optimal joint macroblock mode selection and motion estimation for mpeg-like video coders. - Hyungjoon Kim; Yucel Altunbasak (ICIP, 2004)

Low-complexity rate-distortion optimal macroblock mode selection and motion estimation for MPEG-like video coders. - Hyungjoon Kim; Nejat Kamaci; Yucel Altunbasak (IEEE Trans. Circuits Syst. Video Technol., 2005)

Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding. - Hyungjoon Kim (2007)

An Automatic Virtual Makeup Scheme Based on Personal Color Analysis. - Jisoo Park; Hyungjoon Kim; Seonmi Ji; Eenjun Hwang (IMCOM, 2018)

Real-Time Facial Feature Extraction Scheme Using Cascaded Networks. - Hyeonwoo Kim; Hyungjoon Kim; Eenjun Hwang (BigComp, 2019)

Robust facial landmark extraction scheme using multiple convolutional neural networks. - Hyungjoon Kim; Jisoo Park; Hyeonwoo Kim; Eenjun Hwang; Seungmin Rho (Multim. Tools Appl., 2019)

Correction to: Robust facial landmark extraction scheme using multiple convolutional neural networks. - Hyungjoon Kim; Jisoo Park; Hyeonwoo Kim; Eenjun Hwang; Seungmin Rho (Multim. Tools Appl., 2019)

FLSNet: Robust Facial Landmark Semantic Segmentation. - Hyungjoon Kim; Hyeonwoo Kim; Jehyeok Rew; Eenjun Hwang (IEEE Access, 2020)

Real-time shape tracking of facial landmarks. - Hyungjoon Kim; Hyeonwoo Kim; Eenjun Hwang (Multim. Tools Appl., 2020)

Does virtual reality affect behavioral intention? Testing engagement processes in a K-Pop video on YouTube. - Seok Kang; Sophia Dove; Hannah Ebright; Serenity Morales; Hyungjoon Kim (Comput. Hum. Behav., 2021)

Use of Mobile Grocery Shopping Application: Motivation and Decision-Making Process among South Korean Consumers. - Hyungjoon Kim (J. Theor. Appl. Electron. Commer. Res., 2021)

Manipulating Neural Network Block for Robust Image Segmentation. - Hyungjoon Kim; Hyeonwoo Kim; Seongkuk Cho; Eenjun Hwang (BigComp, 2022)

A Cross-age Kinship Verification Scheme Using Face Age Transfer Model. - Hyeonwoo Kim; Hyungjoon Kim; Bumyeon Ko; Eenjun Hwang (BigComp, 2022)

Two-stage person re-identification scheme using cross-input neighborhood differences. - Hyeonwoo Kim; Hyungjoon Kim; Bumyeon Ko; Jonghwa Shim; Eenjun Hwang (J. Supercomput., 2022)

A Triplet-Branch Convolutional Neural Network for Part-Based Gait Recognition. - Sang-Soo Yeo; Seungmin Rho; Hyungjoon Kim; Jibran Safdar; Umar Zia; Mehr Yahya Durrani (Comput. Syst. Sci. Eng., 2023)

A robust kinship verification scheme using face age transformation. - Hyeonwoo Kim; Hyungjoon Kim; Jonghwa Shim; Eenjun Hwang (Comput. Vis. Image Underst., 2023)

SkinSavvy: Automated Skin Lesion Diagnosis and Personalized Medical Consultation System. - Yunju Kim; Woo Jin Cho; Yoojeong Song; Hyungjoon Kim (BigComp, 2024)

Interface Engineering of Trench-Ox for Modern DRAM Devices. - Soojung Hwang; Jongkyu Kim; Juntae Kim; Dahyun Cha; Minho Kim; Dongkyu Jang; Sunghak Cho; Seokhyang Kim; Jaeseong Park; Hyungjoon Kim; Sukwon Yu; Boyoung Song; et al. (IRPS, 2024)

A Study on the Forecast of Earning Management Based on Deep Learning by Reflecting Information on Corporate Litigation Cases. - Hyeon Kang; Hyungjoon Kim; Hyung Jong Na (IEEE Access, 2024)

Development of a Success Prediction Model for Crowdfunding Based on Machine Learning Reflecting ESG Information. - Jiyoung Park; Hyung Jong Na; Hyungjoon Kim (IEEE Access, 2024)

A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges. - Jongseon Kim; Hyungjoon Kim; HyunGi Kim; Dongjun Lee; Sungroh Yoon (CoRR, 2024)

SymbolNet: Bridging Latent Neural Representations and Symbolic Reasoning via Intermediate Feature Interpretation. - Sungheon Jeong 001; Hyungjoon Kim; Yoojeong Song (IEEE Access, 2025)

Forecasting Future Corporate Value Including Information on Firm Environmental Activities: Using Machine Learning Techniques. - Jiyoung Park; Hyungjoon Kim; Hyung Jong Na (IEEE Access, 2025)

A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges. - Jongseon Kim; Hyungjoon Kim; HyunGi Kim; Dongjun Lee; Sungroh Yoon (Artif. Intell. Rev., 2025)