Learning to combine target corrections for multi-source transfer learning in data-scarce used-car price prediction, with Hyeonsu Kim, 2026
Near cold-start in-vehicle function recommendation via training-free large language models, with Yeseul Lee, KNU-HDS and KNU-Rottoda, 2026
Water quality risk index estimation using graph neural networks for spatiotemporal watershed, with Jiyun Park and KNU-AAI, 2026 (under review)
Visual information and listing price determination in online used-car platforms: Evidence from image-based e-commerce analytics, with Hanbin Lee, 2026 (under review)
DPSyn: A hybrid framework for distribution-preserving synthetic tabular data generation, with Hyeonkee Min, 2026 (under review)
Artificial intelligence exposure and wage effects in the Korean labor market, with Yeseul Lee, 2026 (under review)
Residual value estimation with hidden vehicle condition information in the used-car market, with Jiyun Park, 2026 (under review)
Large language models are not robust experimental subjects: Evidence from dictator games, with Yeseul Lee, 2026 (under review)
Estimating spatially heterogeneous treatment effects with BART: Evidence from Starbucks and commercial land prices in Jeju, with Inheon Yang, 2026 (under review)
CARE: Comperhensive automobile repair estimate generation via vision-language framework, with Inheon Yang and KNU-VILAB, 2025 (under review)
Published Papers with DABS Members
Lee, Jeehong and Hyeonjun Hwang, 2026, Estimating the systemic risk of the Korean inter-bank network using neural network quantile regression, Financial Stability Studies27(1), 25-56.
Kwon, Byeongkeun, Dain Lee, Hyunjun Ko, Hanbin Lee, Hyeonjun Hwang and Suhyeon Kim, 2026, A graph neural network approach for aquatic biodiversity prediction leveraging water system interconnections, Ecological Informatrics 95, 103776.
Kim, Sujeong and Hyeonjun Hwang, 2026, Competition, connectivity, and firm financial health: Evidence from KTX-SRT competition, Korean Journal of Industrial Organization 34(1), 33-73.
Park, Gihoon and Hyeonjun Hwang, 2025, Apartment renaming and sales price premium in the case of GTX-C and Indeogwon in Korea, Journal of Real Estate Analysis 11(3), 127-150.
Lee, Hanbin and Hyeonjun Hwang, 2025, Study on improving the prediction power of short-term high-volatility cryptocurrency price using deep learning with regime transformation labeling of time series and image transformation, Journal of Korea Multimedia Society 82(9), 1380-1387.
Park, Minjeong and Hyeonjun Hwang, 2025, A regional study on implicit decent jobs by a deep learning model, Journal of the Korean Regional Science Association 41(3). 59-75.
Hwang, Hyeonjun, 2024, Simulation design to find the welfare impacts of livestock trading and disease transmission, Plos One 19(11), e0310213.
Hwang, Hyeonjun and Yenjae Chang, 2023, Quantifying the effect of entry of thrifty gas stations on the survivial rate of competing stations, Korean Journal of Industrial Organization 31(3), 1-31.
Lee, Yeseul and Hyeonjun Hwang, 2023, Analyzing employment trends in response to AI exposure: K-shaed labor polarization in Korea, Informatization Policy 30(3), 69-91.
Lee, Haein and Hyeonjun Hwang, 2023, Analysis of apartment sale prices with consumer reviews in Proptech and machine learning, Journal of Real Estate Analysis 9(1), 23-42.
Jo, Jungyoon and Hyeonjun Hwang, 2023, Analysis of domestic automobile market cannibalization with time series, Journal of Product Research 41(2), 111-117.
Lee, Yeseul and Hyeonjun Hwang, 2023, Trend analysis of AI in early childhood education and child-related employment using text mining, The Journal of Korea Open Association for early Childhood Education 28(1), 279-302.