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ORCIDJaewoong Choi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[j22]Jaemin Chung
, Jaewoong Choi, Janghyeok Yoon:
Exploring intra- and inter-organizational collaboration opportunities across a technological knowledge ecosystem: A metapath2vec approach. Expert Syst. Appl. 298: 129724 (2026)- 2025
- [j21]Min Geun Song, Jaewoong Choi, Huy Kang Kim:
GAT-APG: Graph Attention Network-Based Attack Path Generation for Security Simulation. IEEE Access 13: 147383-147396 (2025) - [j20]Jaewoong Choi, Janghyeok Yoon, Changyong Lee:
Early screening of potential breakthrough technologies with enhanced interpretability: A patent-specific hierarchical attention network model. Comput. Ind. Eng. 203: 111034 (2025) - [j19]Jaemin Chung, Byeongki Jeong, Young-Jae Park, Hwihun Jeong, Jiho Lee, Janghyeok Yoon, Jaewoong Choi:
Harnessing language models for computational literature review of emerging AI topics. Inf. Process. Manag. 62(6): 104245 (2025) - [j18]Jaemin Chung, Janghyeok Yoon, Jaewoong Choi:
Exploring the potential of novel research proposals as signals of successful national R&D: A case study on energy and resource sector in South Korea. J. Informetrics 19(4): 101722 (2025) - [j17]Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang:
Analyzing the latent space of GAN through local dimension estimation for disentanglement evaluation. Pattern Recognit. 157: 110914 (2025) - [c22]Jungwoo Chae, Jiyoon Kim, Jaewoong Choi, Kyungyul Kim, Sangheum Hwang:
APT: Adaptive Personalized Training for Diffusion Models with Limited Data. CVPR 2025: 28619-28628 - [c21]Jaemoo Choi, Yongxin Chen, Jaewoong Choi:
Improving Neural Optimal Transport via Displacement Interpolation. ICLR 2025 - [c20]Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Alexander Korotin:
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport. ICLR 2025 - [i28]Jaemoo Choi, Jaewoong Choi, Dohyun Kwon:
Overcoming Fake Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan. CoRR abs/2502.04583 (2025) - [i27]Jungwoo Chae, Jiyoon Kim, Jaewoong Choi, Kyungyul Kim, Sangheum Hwang:
APT: Adaptive Personalized Training for Diffusion Models with Limited Data. CoRR abs/2507.02687 (2025) - [i26]Hyunsoo Song, Minjung Gim, Jaewoong Choi:
Reweighted Flow Matching via Unbalanced OT for Label-free Long-tailed Generation. CoRR abs/2509.25713 (2025) - 2024
- [c19]Jaewoong Choi, Yi-Gyeong Kim, Juyeob Kim, Jaehoon Chung, Young-Deuk Jeon, Min-Hyung Cho, Sujin Park, Jinho Han:
A 6.4Gb/s/pin HBM3 Digital PHY with Low-Power, Area-Efficient Techniques for Chiplet-Based AI processors in 12-nm CMOS. A-SSCC 2024: 1-3 - [c18]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Analyzing and Improving Optimal-Transport-based Adversarial Networks. ICLR 2024 - [c17]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport. ICML 2024 - [i25]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport. CoRR abs/2402.05443 (2024) - [i24]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:
MaTableGPT: GPT-based Table Data Extractor from Materials Science Literature. CoRR abs/2406.05431 (2024) - [i23]Seunghyun Lee, Janghyeok Yoon, Jaewoong Choi:
Design of reliable technology valuation model with calibrated machine learning of patent indicators. CoRR abs/2406.05446 (2024) - [i22]Daeun Lee, Jaewoong Choi, Hiroshi Mizuseki, Byungju Lee:
Text-to-Battery Recipe: A language modeling-based protocol for automatic battery recipe extraction and retrieval. CoRR abs/2407.15459 (2024) - [i21]Jaewoong Choi, Janghyeok Yoon, Changyong Lee:
Early screening of potential breakthrough technologies with enhanced interpretability: A patent-specific hierarchical attention network model. CoRR abs/2407.16939 (2024) - [i20]Jaemoo Choi, Jaewoong Choi:
Scalable Simulation-free Entropic Unbalanced Optimal Transport. CoRR abs/2410.02656 (2024) - [i19]Taekyung Lee, Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Unsupervised Point Cloud Completion through Unbalanced Optimal Transport. CoRR abs/2410.02671 (2024) - [i18]Jaemoo Choi, Yongxin Chen, Jaewoong Choi:
Improving Neural Optimal Transport via Displacement Interpolation. CoRR abs/2410.03783 (2024) - [i17]Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Alexander Korotin:
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport. CoRR abs/2410.03974 (2024) - [i16]Jaewoong Choi:
Novelty-focused R&D landscaping using transformer and local outlier factor. CoRR abs/2411.02738 (2024) - [i15]Youngjin Seol, Jaewoong Choi, Seunghyun Lee, Janghyeok Yoon:
Dynamic technology impact analysis: A multi-task learning approach to patent citation prediction. CoRR abs/2411.09184 (2024) - 2023
- [j16]Youngjin Seol, Seunghyun Lee, Cheol-Han Kim, Janghyeok Yoon, Jaewoong Choi:
Towards firm-specific technology opportunities: A rule-based machine learning approach to technology portfolio analysis. J. Informetrics 17(4): 101464 (2023) - [j15]Jaewoong Choi, Geonho Hwang, Myungjoo Kang:
Disentangling the correlated continuous and discrete generative factors of data. Pattern Recognit. 133: 109055 (2023) - [c16]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, Young-Deuk Jeon, Min-Hyung Cho, Minseok Choi:
Chiplet Heterogeneous-Integration AI Processor. ICEIC 2023: 1-2 - [c15]Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang:
Finding the Global Semantic Representation in GAN through Fréchet Mean. ICLR 2023 - [c14]Geonho Hwang, Jaewoong Choi, Hyunsoo Cho, Myungjoo Kang:
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action. ICML 2023: 14237-14248 - [c13]Sujin Park, Young-Deuk Jeon, Yi-Gyeong Kim, Min-Hyung Cho, Jinho Han, Jaehoon Chung, Jaewoong Choi, Youngsu Kwon:
DQ and DQS Receiver for HBM3 Memory Interface with DFE Offset Calibration. ISOCC 2023: 215-216 - [c12]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport. NeurIPS 2023 - [c11]Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh:
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry. NeurIPS 2023 - [i14]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport. CoRR abs/2305.14777 (2023) - [i13]Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh:
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry. CoRR abs/2307.12868 (2023) - [i12]Jaewoong Choi, Byungju Lee:
Accelerated materials language processing enabled by GPT. CoRR abs/2308.09354 (2023) - [i11]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Analyzing and Improving OT-based Adversarial Networks. CoRR abs/2310.02611 (2023) - [i10]Jaewoong Choi, Min Geun Song, Hyosun Lee, Chaeyeon Sagong, Sangbeom Park, Jaesung Lee, Jeong Do Yoo, Huy Kang Kim:
C-ITS Environment Modeling and Attack Modeling. CoRR abs/2311.14327 (2023) - [i9]Sangbeom Park, Jaesung Lee, Jeong Do Yoo, Min Geun Song, Hyosun Lee, Jaewoong Choi, Chaeyeon Sagong, Huy Kang Kim:
AI-based Attack Graph Generation. CoRR abs/2311.14342 (2023) - 2022
- [j14]Jaewoong Choi, Byeongki Jeong, Janghyeok Yoon:
Identification of emerging business areas for business opportunity analysis: An approach based on language model and local outlier factor. Comput. Ind. 140: 103677 (2022) - [j13]Jaewoong Choi, Dae Ha Kim, Sanghyuk Lee, Sang Hyuk Lee, Byung Cheol Song:
Synthesized rain images for deraining algorithms. Neurocomputing 492: 421-439 (2022) - [j12]Jaewoong Choi, Janghyeok Yoon:
Measuring knowledge exploration distance at the patent level: Application of network embedding and citation analysis. J. Informetrics 16(2): 101286 (2022) - [j11]Jaewoong Choi, Jiho Lee, Janghyeok Yoon, Sion Jang, Jaeyoung Kim, Sungchul Choi:
A two-stage deep learning-based system for patent citation recommendation. Scientometrics 127(11): 6615-6636 (2022) - [c10]Jaewoong Choi, Dae Ha Kim, Byung Cheol Song:
Style-Guided and Disentangled Representation for Robust Image-to-Image Translation. AAAI 2022: 463-471 - [c9]Jaewoong Choi, Junho Lee, Changyeon Yoon, Jung Ho Park, Geonho Hwang, Myungjoo Kang:
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs. ICLR 2022 - [i8]Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang:
Analyzing the Latent Space of GAN through Local Dimension Estimation. CoRR abs/2205.13182 (2022) - [i7]Byeongki Jeong, Janghyeok Yoon, Jaewoong Choi:
Time-aware topic identification in social media with pre-trained language models: A case study of electric vehicles. CoRR abs/2210.05143 (2022) - [i6]Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang:
Finding the global semantic representation in GAN through Frechet Mean. CoRR abs/2210.05509 (2022) - [i5]Yongsik Kim, Jaewoong Choi, Hyosun Lee, Jeong Do Yoo, Haerin Kim, Junho Jang, Ki Beom Park, Huy Kang Kim:
Defining C-ITS Environment and Attack Scenarios. CoRR abs/2212.10854 (2022) - 2021
- [j10]Jaewoong Choi, Jiho Lee, Janghyeok Yoon:
Anticipating promising services under technology capability for new product-service system strategies: An integrated use of patents and trademarks. Comput. Ind. 133: 103542 (2021) - [j9]Suchang Kim, Seungho Na, Byeong Yong Kong, Jaewoong Choi, In-Cheol Park:
Real-Time SSDLite Object Detection on FPGA. IEEE Trans. Very Large Scale Integr. Syst. 29(6): 1192-1205 (2021) - [c8]Seungwon Choi, Nahyun Kweon, Chanuk Yang, Dongchan Kim, Hyukju Shon, Jaewoong Choi, Kunsoo Huh:
DSA-GAN: Driving Style Attention Generative Adversarial Network for Vehicle Trajectory Prediction. ITSC 2021: 1515-1520 - [i4]Jaewoong Choi, Changyeon Yoon, Junho Lee, Jung Ho Park, Geonho Hwang, Myungjoo Kang:
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs. CoRR abs/2106.06959 (2021) - 2020
- [j8]Jaewoong Choi, Byeongki Jeong, Janghyeok Yoon, Byoung-Youl Coh, Jae-Min Lee:
A novel approach to evaluating the business potential of intellectual properties: A machine learning-based predictive analysis of patent lifetime. Comput. Ind. Eng. 145: 106544 (2020) - [j7]Jaewoong Choi, Janghyeok Yoon, Jaemin Chung, Byoung-Youl Coh, Jae-Min Lee:
Social media analytics and business intelligence research: A systematic review. Inf. Process. Manag. 57(6): 102279 (2020) - [j6]Seunghyun Oh, Jaewoong Choi, Namuk Ko, Janghyeok Yoon:
Predicting product development directions for new product planning using patent classification-based link prediction. Scientometrics 125(3): 1833-1876 (2020) - [j5]Jaewoong Choi, Byeong Yong Kong, In-Cheol Park:
Retrain-Less Weight Quantization for Multiplier-Less Convolutional Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(3): 972-982 (2020) - [c7]Jaewoong Choi, Sungwook Lee, Seunghyun Lee, Byung Cheol Song:
EPrOD: Evolved Probabilistic Object Detector with Diverse Samples. ECCV Workshops (6) 2020: 56-66 - [i3]Jaewoong Choi, Geonho Hwang, Myungjoo Kang:
Discond-VAE: Disentangling Continuous Factors from the Discrete. CoRR abs/2009.08039 (2020) - [i2]Jaewoong Choi, Sion Jang, Jaeyoung Kim, Jiho Lee, Janghyeok Yoon, Sungchul Choi:
Deep learning-based citation recommendation system for patents. CoRR abs/2010.10932 (2020)
2010 – 2019
- 2019
- [c6]Jaewoong Choi, Hyun Seo, Suii Im, Myungjoo Kang:
Attention Routing Between Capsules. ICCV Workshops 2019: 1981-1989 - [i1]Jaewoong Choi, Hyun Seo, Suii Im, Myungju Kang:
Attention routing between capsules. CoRR abs/1907.01750 (2019) - 2018
- [c5]Daehoon Kim, Jaewoong Choi, Inho Jung, Changbeom Choi:
Pedagogy of Programming Education for Higher Education Using Block Based Programming Environment. HCI (19) 2018: 39-50 - 2016
- [c4]Inho Jung, Jaewoong Choi, In-Jung Kim, Changbeom Choi:
Interactive learning environment for practical programming language based on web service. ITHET 2016: 1-7 - 2014
- [j4]Jaewoong Choi, Kyongsu Yi, Jeeyoon Suh, Bongchul Ko:
Coordinated Control of Motor-Driven Power Steering Torque Overlay and Differential Braking for Emergency Driving Support. IEEE Trans. Veh. Technol. 63(2): 566-579 (2014) - 2012
- [j3]Jaewoong Choi, Junyoung Lee, Dongwook Kim, Giacomo Soprani, Pietro Cerri, Alberto Broggi, Kyongsu Yi:
Environment-Detection-and-Mapping Algorithm for Autonomous Driving in Rural or Off-Road Environment. IEEE Trans. Intell. Transp. Syst. 13(2): 974-982 (2012) - [j2]Wanki Cho, Jaewoong Choi, Chongkap Kim, Seibum Choi, Kyongsu Yi:
Unified Chassis Control for the Improvement of Agility, Maneuverability, and Lateral Stability. IEEE Trans. Veh. Technol. 61(3): 1008-1020 (2012) - [j1]Seongjin Yim, Jaewoong Choi, Kyongsu Yi:
Coordinated Control of Hybrid 4WD Vehicles for Enhanced Maneuverability and Lateral Stability. IEEE Trans. Veh. Technol. 61(4): 1946-1950 (2012) - [c3]Kyuwon Kim, Jaewoong Choi, Kyongsu Yi:
Lateral Disturbance Compensation Using Motor Driven Power Steering. VTC Spring 2012: 1-5 - 2011
- [c2]Pietro Cerri, Giacomo Soprani, Paolo Zani, Jaewoong Choi, Junyung Lee, Dongwook Kim, Kyongsu Yi, Alberto Broggi:
Computer vision at the hyundai autonomous challenge. ITSC 2011: 777-783 - [c1]Jaewoong Choi, Kyuwon Kim, Kyongsu Yi:
Emergency driving support algorithm with steering torque overlay and differential braking. ITSC 2011: 1433-1439
Coauthor Index
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