Yeongmin Kim

38 papers A* 9B 2Journal 22Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models.
CoRR
Yeongmin Kim, DongHyeok Shin, Byeonghu Na, Minsang Park, Richard Lee Kim, Il-Chul Moon
2026 J jnl
Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment.
CoRR
Byeonghu Na, Hyungho Na, Yeongmin Kim, Suhyeon Jo, HeeSun Bae, Mina Kang, Il-Chul Moon
2025 J jnl
A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth Competition.
CoRR
Victor-Louis De Gusseme, Thomas Lips, Remko Proesmans, Julius Hietala, Giwan Lee, Jiyoung Choi, Jeongil Choi, Geon Kim, Phayuth Yonrith, Domen Tabernik, Andrej Gams, Peter Nimac, Matej Urbas, Jon Muhovic, Danijel Skocaj, Matija Mavsar, Hyojeong Yu, Minseo Kwon, Young J. Kim, Yang Cong, Ronghan Chen, Yu Ren, Supeng Diao, Jiawei Weng, Jiayue Liu, Haoran Sun, Linhan Yang, Zeqing Zhang, Ning Guo, Lei Yang, Fang Wan, Chaoyang Song, Jia Pan, Yixiang Jin, Yong A, Jun Shi, Dingzhe Li, Yong Yang, Kakeru Yamasaki, Takumi Kajiwara, Yuki Nakadera, Krati Saxena, Tomohiro Shibata, Chongkun Xia, Kai Mo, Yanzhao Yu, Qihao Lin, Binqiang Ma, Ui Hun Sagong, JungHyun Choi, Jeonghyun Park, Dongwoo Lee, Yeongmin Kim, Myun Joong Hwang, Yusuke Kuribayashi, Naoki Hiratsuka, Daisuke Tanaka, Solvi Arnold, Kimitoshi Yamazaki, Carlos Mateo-Agullo, Andreas Verleysen, Francis Wyffels
2025 J jnl
AMiD: Knowledge Distillation for LLMs with α-mixture Assistant Distribution.
CoRR
DongHyeok Shin, Yeongmin Kim, Suhyeon Jo, Byeonghu Na, Il-Chul Moon
2025 A* conf
Autoregressive Distillation of Diffusion Transformers.
CVPR
Yeongmin Kim, Sotiris Anagnostidis, Yuming Du, Edgar Schönfeld, Jonas Kohler, Markos Georgopoulos, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu
2025 J jnl
Autoregressive Distillation of Diffusion Transformers.
CoRR
Yeongmin Kim, Sotiris Anagnostidis, Yuming Du, Edgar Schönfeld, Jonas Kohler, Markos Georgopoulos, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu
2025 J jnl
Determination of Electrode/Electrolyte Interface Impedance via Transfer Length Method and Its Application to Solid Polymer Electrolytes.
IEEE Trans. Instrum. Meas.
Jinpyeo Jeung, Inyeol Yun, Yeongmin Kim, Yoonyoung Chung
2025 A* conf
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning.
ICLR
Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon
2025 J jnl
Disentangling Hyperedges through the Lens of Category Theory.
CoRR
Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park
2025 J jnl
Distillation of Large Language Models via Concrete Score Matching.
CoRR
Yeongmin Kim, DongHyeok Shin, Mina Kang, Byeonghu Na, Il-Chul Moon
2025 A* conf
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute.
CVPR
Sotiris Anagnostidis, Gregor Bachmann, Yeongmin Kim, Jonas Kohler, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Albert Pumarola, Ali K. Thabet, Edgar Schönfeld
2025 J jnl
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute.
CoRR
Sotiris Anagnostidis, Gregor Bachmann, Yeongmin Kim, Jonas Kohler, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Albert Pumarola, Ali K. Thabet, Edgar Schönfeld
2025 A* conf
Global Context-aware Representation Learning for Spatially Resolved Transcriptomics.
ICML
Yunhak Oh, Junseok Lee, Yeongmin Kim, Sangwoo Seo, Namkyeong Lee, Chanyoung Park
2025 J jnl
Global Context-aware Representation Learning for Spatially Resolved Transcriptomics.
CoRR
Yunhak Oh, Junseok Lee, Yeongmin Kim, Sangwoo Seo, Namkyeong Lee, Chanyoung Park
2025 J jnl
Personalized Health Prediction AI Models Using Transfer Learning and Strategic Overfitting on Wearable Device Data.
J. Medical Syst.
Inyong Jeong, Seokjin Kong, Yeongmin Kim, YiHyun Kim, ByeongSu Kim, Se-Jin Ahn, Ju-Wan Kim, HwaMin Lee
2025 J jnl
Preference Optimization by Estimating the Ratio of the Data Distribution.
CoRR
Yeongmin Kim, HeeSun Bae, Byeonghu Na, Il-Chul Moon
2024 J jnl
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records.
BioData Min.
Yeongmin Kim, Wongyung Choi, Woojeong Choi, Grace Ko, Seonggyun Han, Hwan-Cheol Kim, Dokyoon Kim, Dong-Gi Lee, Dong Wook Shin, Younghee Lee
2024 J jnl
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning.
CoRR
Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon
2024 A* conf
Diffusion Rejection Sampling.
ICML
Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon
2024 J jnl
Diffusion Rejection Sampling.
CoRR
Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon
2024 — conf
Early Prediction of Depressive Episodes in Mood Disorders Using Circadian Rhythm Indicators and Deep Learning.
BIBM
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, HwaMin Lee
2024 A* conf
Label-Noise Robust Diffusion Models.
ICLR
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2024 J jnl
Label-Noise Robust Diffusion Models.
CoRR
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2024 — conf
Reward-based Input Construction for Cross-document Relation Extraction.
ACL (1)
Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon
2024 J jnl
Reward-based Input Construction for Cross-document Relation Extraction.
CoRR
Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon
2024 J jnl
Single-cell RNA sequencing data imputation using bi-level feature propagation.
Briefings Bioinform.
Junseok Lee, Sukwon Yun, Yeongmin Kim, Tianlong Chen, Manolis Kellis, Chanyoung Park
2024 A* conf
Training Unbiased Diffusion Models From Biased Dataset.
ICLR
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon
2024 J jnl
Training Unbiased Diffusion Models From Biased Dataset.
CoRR
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon
2023 — conf
A 45.8dB-SNR 120fps 100pF-Load Self-Capacitance Touch-Screen Controller with Enhanced In-Band Common Noise Immunity Using Noise Antenna Reference.
ISSCC
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
2023 A* conf
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.
ICML
Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2023 A* conf
SAAL: Sharpness-Aware Active Learning.
ICML
Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
2022 J jnl
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection.
CoRR
Yeongmin Kim, Huiwon Jang, Dongkeon Lee, Ho-Jin Choi
2022 B conf
Evaluation and validation of an artificial neural network for predicting the performance of a desiccant coated heat exchanger.
IEEE Big Data
Yeongmin Kim, Yoon Jung Ko, Seung Jin Oh
2022 J jnl
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.
CoRR
Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon
2021 B conf
Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq.
SMC
Yeongmin Kim, Youngjae Cho, Hanbit Lee, Il-Chul Moon
2020 J jnl
CPU-Accelerator Co-Scheduling for CNN Acceleration at the Edge.
IEEE Access
Yeongmin Kim, Joonho Kong, Arslan Munir
2017 — conf
A research on the postural stability of a person wearing the lower limb exoskeletal robot by the HAT model.
ICORR
Minsu Chang, Yeongmin Kim, Yoseph Lee, Doyoung Jeon
2007 — conf
Road oundary detection with double filtering for intelligent vehicle.
ROBIO
Haiping Lin, Suhong Ko, Hyongsuk Kim, Yeongmin Kim