Road oundary detection with double filtering for intelligent vehicle. - Haiping Lin; Suhong Ko; Hyongsuk Kim; Yeongmin Kim (ROBIO, 2007)

A research on the postural stability of a person wearing the lower limb exoskeletal robot by the HAT model. - Minsu Chang; Yeongmin Kim; Yoseph Lee; Doyoung Jeon (ICORR, 2017)

CPU-Accelerator Co-Scheduling for CNN Acceleration at the Edge. - Yeongmin Kim; Joonho Kong; Arslan Munir (IEEE Access, 2020)

Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq. - Yeongmin Kim; Youngjae Cho; Hanbit Lee; Il-Chul Moon (SMC, 2021)

Evaluation and validation of an artificial neural network for predicting the performance of a desiccant coated heat exchanger. - Yeongmin Kim; Yoon Jung Ko; Seung Jin Oh (IEEE Big Data, 2022)

AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection. - Yeongmin Kim; Huiwon Jang; Dongkeon Lee; Ho-Jin Choi (CoRR, 2022)

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. - Dongjun Kim; Yeongmin Kim; Wanmo Kang; Il-Chul Moon (CoRR, 2022)

SAAL: Sharpness-Aware Active Learning. - Yoon-Yeong Kim; Youngjae Cho; JoonHo Jang; Byeonghu Na; Yeongmin Kim; Kyungwoo Song; Wanmo Kang; Il-Chul Moon (ICML, 2023)

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. - Dongjun Kim; Yeongmin Kim; Se Jung Kwon; Wanmo Kang; Il-Chul Moon (ICML, 2023)

A 45.8dB-SNR 120fps 100pF-Load Self-Capacitance Touch-Screen Controller with Enhanced In-Band Common Noise Immunity Using Noise Antenna Reference. - San-Ho Byun; Heejin Lee; Tae-Gyun Song; Jinchul Lee; Jongmin Baek; Gyeongmin Ha; Seunghoon Baek; Yeongmin Kim; Won-Gab Jung; Hyun-Wook Lim; Siwoo Kim; Jae-Youl Lee (ISSCC, 2023)

Reward-based Input Construction for Cross-document Relation Extraction. - Byeonghu Na; Suhyeon Jo; Yeongmin Kim; Il-Chul Moon (ACL (1), 2024)

Early Prediction of Depressive Episodes in Mood Disorders Using Circadian Rhythm Indicators and Deep Learning. - Byeongsu Kim; Minsu Chae; Yihyun Kim; Seokjin Kong; Yeongmin Kim; Taewon Jung; Jaegwon Jeong; Soohyun Park; Chul-Hyun Cho; Ji Won Yeom; Taek Lee; Heon-Jeong Lee; et al. (BIBM, 2024)

Training Unbiased Diffusion Models From Biased Dataset. - Yeongmin Kim; Byeonghu Na; Minsang Park; JoonHo Jang; Dongjun Kim; Wanmo Kang; Il-Chul Moon (ICLR, 2024)

Label-Noise Robust Diffusion Models. - Byeonghu Na; Yeongmin Kim; HeeSun Bae; Jung Hyun Lee; Se Jung Kwon; Wanmo Kang; Il-Chul Moon (ICLR, 2024)

Diffusion Rejection Sampling. - Byeonghu Na; Yeongmin Kim; Minsang Park; DongHyeok Shin; Wanmo Kang; Il-Chul Moon (ICML, 2024)

Single-cell RNA sequencing data imputation using bi-level feature propagation. - Junseok Lee 002; Sukwon Yun; Yeongmin Kim; Tianlong Chen 001; Manolis Kellis; Chanyoung Park 001 (Briefings Bioinform., 2024)

A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records. - Yeongmin Kim; Wongyung Choi; Woojeong Choi; Grace Ko; Seonggyun Han; Hwan-Cheol Kim; Dokyoon Kim; Dong-Gi Lee; Dong Wook Shin; Younghee Lee (BioData Min., 2024)

FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute. - Sotiris Anagnostidis; Gregor Bachmann; Yeongmin Kim; Jonas Kohler; Markos Georgopoulos; Artsiom Sanakoyeu; Yuming Du; Albert Pumarola; Ali K. Thabet; Edgar Schönfeld (CVPR, 2025)

Autoregressive Distillation of Diffusion Transformers. - Yeongmin Kim; Sotiris Anagnostidis; Yuming Du; Edgar Schönfeld; Jonas Kohler; Markos Georgopoulos; Albert Pumarola; Ali K. Thabet; Artsiom Sanakoyeu (CVPR, 2025)

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning. - Yeongmin Kim; Kwanghyeon Lee; Minsang Park; Byeonghu Na; Il-Chul Moon (ICLR, 2025)

Preference Optimization by Estimating the Ratio of the Data Distribution. - Yeongmin Kim; HeeSun Bae; Byeonghu Na; Il-Chul Moon (CoRR, 2025)

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics. - Yunhak Oh; Junseok Lee 002; Yeongmin Kim; Sangwoo Seo; Namkyeong Lee; Chanyoung Park 001 (CoRR, 2025)

Personalized Health Prediction AI Models Using Transfer Learning and Strategic Overfitting on Wearable Device Data. - Inyong Jeong; Seokjin Kong; Yeongmin Kim; Yihyun Kim; Byeongsu Kim; Se-Jin Ahn; Ju-Wan Kim; Hwamin Lee (J. Medical Syst., 2025)