Computer vision at the hyundai autonomous challenge. - Pietro Cerri; Giacomo Soprani; Paolo Zani; Jaewoong Choi; Junyung Lee; Dongwook Kim; Kyongsu Yi; Alberto Broggi (ITSC, 2011)

Emergency driving support algorithm with steering torque overlay and differential braking. - Jaewoong Choi; Kyuwon Kim; Kyongsu Yi (ITSC, 2011)

Lateral Disturbance Compensation Using Motor Driven Power Steering. - Kyuwon Kim; Jaewoong Choi; Kyongsu Yi (VTC Spring, 2012)

Environment-Detection-and-Mapping Algorithm for Autonomous Driving in Rural or Off-Road Environment. - Jaewoong Choi; Junyoung Lee; Dongwook Kim; Giacomo Soprani; Pietro Cerri; Alberto Broggi; Kyongsu Yi (IEEE Trans. Intell. Transp. Syst., 2012)

Unified Chassis Control for the Improvement of Agility, Maneuverability, and Lateral Stability. - Wanki Cho; Jaewoong Choi; Chongkap Kim; Seibum Choi; Kyongsu Yi (IEEE Trans. Veh. Technol., 2012)

Coordinated Control of Hybrid 4WD Vehicles for Enhanced Maneuverability and Lateral Stability. - Seongjin Yim; Jaewoong Choi; Kyongsu Yi (IEEE Trans. Veh. Technol., 2012)

Coordinated Control of Motor-Driven Power Steering Torque Overlay and Differential Braking for Emergency Driving Support. - Jaewoong Choi; Kyongsu Yi; Jeeyoon Suh; Bongchul Ko (IEEE Trans. Veh. Technol., 2014)

Interactive learning environment for practical programming language based on web service. - Inho Jung; Jaewoong Choi; In-Jung Kim 001; Changbeom Choi (ITHET, 2016)

Pedagogy of Programming Education for Higher Education Using Block Based Programming Environment. - Daehoon Kim; Jaewoong Choi; Inho Jung; Changbeom Choi (HCI (19), 2018)

Attention Routing Between Capsules. - Jaewoong Choi; Hyun Seo; Suii Im; Myungjoo Kang (ICCV Workshops, 2019)

Attention routing between capsules. - Jaewoong Choi; Hyun Seo; Suii Im; Myungju Kang (CoRR, 2019)

EPrOD: Evolved Probabilistic Object Detector with Diverse Samples. - Jaewoong Choi; Sungwook Lee; Seunghyun Lee 001; Byung Cheol Song (ECCV Workshops (6), 2020)

A novel approach to evaluating the business potential of intellectual properties: A machine learning-based predictive analysis of patent lifetime. - Jaewoong Choi; Byeongki Jeong; Janghyeok Yoon; Byoung-Youl Coh; Jae-Min Lee (Comput. Ind. Eng., 2020)

Discond-VAE: Disentangling Continuous Factors from the Discrete. - Jaewoong Choi; Geonho Hwang; Myungjoo Kang (CoRR, 2020)

Deep learning-based citation recommendation system for patents. - Jaewoong Choi; Sion Jang; Jaeyoung Kim; Jiho Lee; Janghyeok Yoon; Sungchul Choi (CoRR, 2020)

Social media analytics and business intelligence research: A systematic review. - Jaewoong Choi; Janghyeok Yoon; Jaemin Chung; Byoung-Youl Coh; Jae-Min Lee (Inf. Process. Manag., 2020)

Predicting product development directions for new product planning using patent classification-based link prediction. - Seunghyun Oh; Jaewoong Choi; Namuk Ko; Janghyeok Yoon (Scientometrics, 2020)

Retrain-Less Weight Quantization for Multiplier-Less Convolutional Neural Networks. - Jaewoong Choi; Byeong Yong Kong; In-Cheol Park (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

DSA-GAN: Driving Style Attention Generative Adversarial Network for Vehicle Trajectory Prediction. - Seungwon Choi; Nahyun Kweon; Chanuk Yang; Dongchan Kim; Hyukju Shon; Jaewoong Choi; Kunsoo Huh (ITSC, 2021)

Anticipating promising services under technology capability for new product-service system strategies: An integrated use of patents and trademarks. - Jaewoong Choi; Jiho Lee; Janghyeok Yoon (Comput. Ind., 2021)

Real-Time SSDLite Object Detection on FPGA. - Suchang Kim; Seungho Na; Byeong Yong Kong; Jaewoong Choi; In-Cheol Park (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Style-Guided and Disentangled Representation for Robust Image-to-Image Translation. - Jaewoong Choi; Dae Ha Kim; Byung Cheol Song (AAAI, 2022)

Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs. - Jaewoong Choi; Junho Lee; Changyeon Yoon; Jung Ho Park; Geonho Hwang; Myungjoo Kang (ICLR, 2022)

Identification of emerging business areas for business opportunity analysis: An approach based on language model and local outlier factor. - Jaewoong Choi; Byeongki Jeong; Janghyeok Yoon (Comput. Ind., 2022)

Analyzing the Latent Space of GAN through Local Dimension Estimation. - Jaewoong Choi; Geonho Hwang; Hyunsoo Cho; Myungjoo Kang (CoRR, 2022)

Time-aware topic identification in social media with pre-trained language models: A case study of electric vehicles. - Byeongki Jeong; Janghyeok Yoon; Jaewoong Choi (CoRR, 2022)

Defining C-ITS Environment and Attack Scenarios. - Yongsik Kim; Jaewoong Choi; Hyosun Lee; Jeong Do Yoo; Haerin Kim; Junho Jang; Ki Beom Park; Huy Kang Kim (CoRR, 2022)

Synthesized rain images for deraining algorithms. - Jaewoong Choi; Dae Ha Kim; Sanghyuk Lee; Sang Hyuk Lee; Byung Cheol Song (Neurocomputing, 2022)

Measuring knowledge exploration distance at the patent level: Application of network embedding and citation analysis. - Jaewoong Choi; Janghyeok Yoon (J. Informetrics, 2022)

A two-stage deep learning-based system for patent citation recommendation. - Jaewoong Choi; Jiho Lee; Janghyeok Yoon; Sion Jang; Jaeyoung Kim; Sungchul Choi (Scientometrics, 2022)

Chiplet Heterogeneous-Integration AI Processor. - Youngsu Kwon; Jinho Han; Yong Cheol Peter Cho; Juyeob Kim; Jaehoon Chung; Jaewoong Choi; Sujin Park; Igyeong Kim; Hyunjeong Kwon; Jinkyu Kim; Hyunmi Kim; Won Jeon; et al. (ICEIC, 2023)

Finding the Global Semantic Representation in GAN through Fréchet Mean. - Jaewoong Choi; Geonho Hwang; Hyunsoo Cho; Myungjoo Kang (ICLR, 2023)

MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action. - Geonho Hwang; Jaewoong Choi; Hyunsoo Cho; Myungjoo Kang (ICML, 2023)

DQ and DQS Receiver for HBM3 Memory Interface with DFE Offset Calibration. - Sujin Park; Young-Deuk Jeon; Yi-Gyeong Kim; Min-Hyung Cho; Jinho Han; Jaehoon Chung; Jaewoong Choi; Youngsu Kwon (ISOCC, 2023)

Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport. - Jaemoo Choi; Jaewoong Choi; Myungjoo Kang (NeurIPS, 2023)

Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry. - Yong-Hyun Park; Mingi Kwon; Jaewoong Choi; Junghyo Jo; Youngjung Uh (NeurIPS, 2023)

Accelerated materials language processing enabled by GPT. - Jaewoong Choi; Byungju Lee (CoRR, 2023)

Analyzing and Improving OT-based Adversarial Networks. - Jaemoo Choi; Jaewoong Choi; Myungjoo Kang (CoRR, 2023)

C-ITS Environment Modeling and Attack Modeling. - Jaewoong Choi; Min Geun Song; Hyosun Lee; Chaeyeon Sagong; Sangbeom Park; Jaesung Lee; Jeong Do Yoo; Huy Kang Kim (CoRR, 2023)

AI-based Attack Graph Generation. - Sangbeom Park; Jaesung Lee; Jeong Do Yoo; Min Geun Song; Hyosun Lee; Jaewoong Choi; Chaeyeon Sagong; Huy Kang Kim (CoRR, 2023)

Disentangling the correlated continuous and discrete generative factors of data. - Jaewoong Choi; Geonho Hwang; Myungjoo Kang (Pattern Recognit., 2023)

Towards firm-specific technology opportunities: A rule-based machine learning approach to technology portfolio analysis. - Youngjin Seol; Seunghyun Lee; Cheol-Han Kim; Janghyeok Yoon; Jaewoong Choi (J. Informetrics, 2023)

A 6.4Gb/s/pin HBM3 Digital PHY with Low-Power, Area-Efficient Techniques for Chiplet-Based AI processors in 12-nm CMOS. - Jaewoong Choi; Yi-Gyeong Kim; Juyeob Kim; Jaehoon Chung; Young-Deuk Jeon; Min-Hyung Cho; Sujin Park; Jinho Han (A-SSCC, 2024)

Analyzing and Improving Optimal-Transport-based Adversarial Networks. - Jaemoo Choi; Jaewoong Choi; Myungjoo Kang (ICLR, 2024)

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport. - Jaemoo Choi; Jaewoong Choi; Myungjoo Kang (ICML, 2024)

MaTableGPT: GPT-based Table Data Extractor from Materials Science Literature. - Gyeong Hoon Yi; Jiwoo Choi; Hyeongyun Song; Olivia Miano; Jaewoong Choi; Kihoon Bang; Byungju Lee; Seok Su Sohn; David Buttler; Anna M. Hiszpanski; Sang Soo Han; Donghun Kim (CoRR, 2024)

Design of reliable technology valuation model with calibrated machine learning of patent indicators. - Seunghyun Lee; Janghyeok Yoon; Jaewoong Choi (CoRR, 2024)

Text-to-Battery Recipe: A language modeling-based protocol for automatic battery recipe extraction and retrieval. - Daeun Lee; Jaewoong Choi; Hiroshi Mizuseki; Byungju Lee (CoRR, 2024)

Scalable Simulation-free Entropic Unbalanced Optimal Transport. - Jaemoo Choi; Jaewoong Choi (CoRR, 2024)

Unsupervised Point Cloud Completion through Unbalanced Optimal Transport. - Taekyung Lee; Jaemoo Choi; Jaewoong Choi; Myungjoo Kang (CoRR, 2024)

Novelty-focused R&D landscaping using transformer and local outlier factor. - Jaewoong Choi (CoRR, 2024)

Dynamic technology impact analysis: A multi-task learning approach to patent citation prediction. - Youngjin Seol; Jaewoong Choi; Seunghyun Lee; Janghyeok Yoon (CoRR, 2024)

APT: Adaptive Personalized Training for Diffusion Models with Limited Data. - Jungwoo Chae; Jiyoon Kim; Jaewoong Choi; Kyungyul Kim; Sangheum Hwang (CVPR, 2025)

Improving Neural Optimal Transport via Displacement Interpolation. - Jaemoo Choi; Yongxin Chen; Jaewoong Choi (ICLR, 2025)

Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport. - Milena Gazdieva; Jaemoo Choi; Alexander Kolesov; Jaewoong Choi; Petr Mokrov; Alexander Korotin (ICLR, 2025)

Early screening of potential breakthrough technologies with enhanced interpretability: A patent-specific hierarchical attention network model. - Jaewoong Choi; Janghyeok Yoon; Changyong Lee (Comput. Ind. Eng., 2025)

Harnessing language models for computational literature review of emerging AI topics. - Jaemin Chung; Byeongki Jeong; Young-Jae Park; Hwihun Jeong; Jiho Lee; Janghyeok Yoon; Jaewoong Choi (Inf. Process. Manag., 2025)

Analyzing the latent space of GAN through local dimension estimation for disentanglement evaluation. - Jaewoong Choi; Geonho Hwang; Hyunsoo Cho; Myungjoo Kang (Pattern Recognit., 2025)

Overcoming Fake Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan. - Jaemoo Choi; Jaewoong Choi; Dohyun Kwon 002 (CoRR, 2025)