Peer-Reviewed Papers
Flat Posterior Does Matter For Bayesian Model Averaging
Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung*, Jiyoung Jung*, Kyungwoo Song*
UAI 2025
Multi-purpose Technology Commercialization Recommender System with Large-scale Korean Language Model
Kangjun Noh*, Hyeji Hwang*, Yongtaek Lim*, Changdae Oh*, Seungyeon Kim, Eunkyeong Lee, Yunjeong Choi, Sungjin Kim*, Hosik Choi*, Kyungwoo Song*
Journal of Supercomputing 2025
Sequential Neural Joint Estimation for Likelihood-Free Inference
Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo
Journal of the Korean Statistical Society 2025
IMC: A Benchmark for Invariant Learning under Multiple Causes
Taero Kim, Seonggyun Lee, Joonseong Kang, Youngjun Choi, Wonsang Yun, Nicole Hee-Yeon Kim, Ziyu Chen, Lexing Xie, Kyungwoo Song
CVPR 2025 Workshop (Domain Generalization: Evolution, Breakthroughs, and Future Horizons)
Flat Posterior For Bayesian Model Averaging
SungJun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung*, Jiyoung Jung*, Kyungwoo Song*
ICLR 2025 Workshop (Frontiers in Probabilistic Inference: Learning meets Sampling)
Sufficient Invariant Learning for Distribution Shift
Taero Kim, Subeen Park, Sungjun Lim, Yonghan Jung, Krikamol Muandet, Kyungwoo Song
CVPR 2025
LBC: Language-Based-Classifier for Out-Of-Variable Generalization
Kangjun Noh, Baekryun Seong, Hoyoon Byun, Youngjun Choi, Sungjin Song, Kyungwoo Song
NAACL 2025
Brain-inspired Lp-Convolution benefits large kernels and aligns better with visual cortex
Jea Kwon, SungJun Lim, Kyungwoo Song*, C. Justin Lee*
ICLR 2025
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
Changdae Oh, Yixuan Li, Kyungwoo Song*, Sangdoo Yun*, Dongyoon Han*
ICLR 2025
Robust Optimization for PPG-based Blood Pressure Estimation
Sungjun Lim*, Taero Kim*, Hyeonjeong Lee, Yewon Kim, Minhoi Park, Kwang-Yong Kim*, Minseong Kim*, Kyu Hyung Kim*, Jiyoung Jung*, Kyungwoo Song*
Biomedical Signal Processing and Control 2025
Fog-Free Training for Foggy Scene Understanding
Minyoung Lee, Kyungwoo Song, Junsuk Choe
Pattern Recognition Letters 2025
COVID-19 Prediction with Doubly Multi-task Gaussian Process
Sooyon Kim, Yongtaek Lim, Sungjun Lim, Gyeongdeok Seo, Jihee Kim, Hojun Park, Jaehun Jung, Kyungwoo Song
AAAI 2025 Workshop (AI4TS)
TC-BERT: Large-scale Language Model for Korean Technology Commercialization Documents
Taero Kim*, Changdae Oh*, Hyeji Hwang*, Eunkyeong Lee, Yewon Kim, Yunjeong Choi, Sungjin Kim*, Hosik Choi*, Kyungwoo Song*
Journal of Supercomputing 2025
GFML: Gravity Function for Metric Learning
Hoyoon Byun, Sungjun Lim, Kyungwoo Song
Engineering Applications of Artificial Intelligence 2025
Enhancing Visual Classification using Comparative Descriptors
Hankyeol Lee, Gawon Seo, Wonseok Choi, Geunyoung Jung, Kyungwoo Song, Jiyoung Jung
WACV 2025
[paper]
Efficient Semantic Foggy Scene Understanding Through Virtual Domain Shifts
Minyoung Lee, Kyungwoo Song, Junsuk Choe
ACCV 2024 Workshop (WiCV)
Efficient Transfer Learning driven by Layer-wise Features Aggregation
Chanwoo Kim, Jeyoon Yeom, Joowang Kim, Suho Kang, Kyungwoo Song
NeurIPS 2024 Workshop
Adapting Foundation Models via Training-free Dynamic Weight Interpolation
Changdae Oh, Yixuan Li, Kyungwoo Song*, Sangdoo Yun*, Dongyoon Han*
NeurIPS 2024 Workshop
[paper]
Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer
Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, David R Mortensen
EMNLP 2024 Workshop
[paper]
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Changdae Oh*, Hyesu Lim*, Mijoo Kim, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander G Hauptmann, Zhi-Qi Cheng*, Kyungwoo Song*
NeurIPS 2024
GloGen: PPG prompts for few-shot transfer learning in blood pressure estimation
Taero Kim, Hyeonjeong Lee, Minseong Kim, Kwang-Yong Kim, Kyu Hyung Kim, Kyungwoo Song
Computers in Biology and Medicine 2024
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text
Hakyung Lee, Keon-Hee Park, Hoyoon Byun, Jeyoon Yeom, Jihee Kim, Gyeong-Moon Park*, Kyungwoo Song*
EMNLP 2024 Findings
Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and Validation
Suho Kang, Jungyang Park, Joonseo Ha, SoMin Kim, JinHyeong Kim, Subeen Park, Kyungwoo Song
EMNLP 2024 Workshop
Few-Shot PPG Signal Generation via Guided Diffusion Models
Jinho Kang, Yongtaek Lim, KyuHyung Kim, Hyeonjeong Lee, KwangYong Kim, Minseong Kim*, Jiyoung Jung*, Kyungwoo Song*
IEEE Sensors 2024
Dirichlet Stochastic Weights Averaging for Graph Neural Networks
Minhoi Park, Rakwoo Chang*, Kyungwoo Song*
Applied Intelligence 2024
[paper]
TC-Llama 2: Fine-tuning LLM for Technology and Commercialization Applications
Jeyoon Yeom*, Hakyung Lee*, Hoyoon Byun, Yewon Kim, Jeongeun Byun, Yunjeong Choi, Sungjin Kim*, Kyungwoo Song*
Journal of Big Data 2024
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
Heeyoung Lee*, Hoyoon Byun*, Changdae Oh, Jinyeong Bak*, Kyungwoo Song*
ECAI 2024
Online Continuous Generalized Category Discovery
Keon-Hee Park, Hakyung Lee, Kyungwoo Song*, Gyeong-Moon Park*
ECCV 2024
Exploring the Potential of Foundation Models as Reliable AI Contact Centers
Hoyoon Byun, Minhoi Park, Seolah Kim, Eunbi Kim, Kyungwoo Song
IJCAI 2024 Workshop (Trustworthy Interactive Decision-Making with Foundation Models)
LBC: Language-Based-Classifier for Out-Of-Variable Generalization
Kangjun Noh, Baekryun Seong, Hoyoon Byun, Youngjun Choi, Sungjin Song, Kyungwoo Song
IJCAI 2024 Workshop (Trustworthy Interactive Decision-Making with Foundation Models)
C2SDI: Conditional Score-based Diffusion Models with Classifier-free Guidance
Joonseong Kang, Seonggyun Lee, Jeyoon Yeom, Kyungwoo Song
IJCAI 2024 Workshop (Large Knowledge-Enhanced Models)
Technical Domain Question Answering With Large Language Models
Jihee Kim, Subeen Park, Hakyung Lee, YongTaek Lim, Hyo-won Suh*, Kyungwoo Song*
IJCAI 2024 Workshop (Large Knowledge-Enhanced Models)
H-Consistency Bounded Critic for Enhancing Retrieval-Augmented Generation
Seonggyun Lee, Hoyoon Byun, Kyungwoo Song
IJCAI 2024 Workshop (Large Knowledge-Enhanced Models)
Sufficient Invariant Learning for Distribution Shift
Taero Kim, SungJun Lim, Kyungwoo Song
IJCAI 2024 Workshop (Data Science Meets Optimisation)
Sequential Treatment Effect Estimation with Variational Transformers: Application to COVID-19 Infection Clusters
Jinho Kang, Sungjun Lim, Hojun Park, Jaehun Jung*, Jiyoung Jung*, Kyungwoo Song*
IJCAI 2024 Workshop (Artificial Intelligence for Time Series Analysis (AI4TS): Theory, Algorithms, and Applications)
First Step for Theoretical and Practical Foundations of Robust Visual Prompting
Gyeongdeok Seo*, Changdae Oh*, Kyungwoo Song
IJCAI 2024 Workshop (Trustworthy AI)
Structural and Positional Ensembled Encoding for Graph Transformer
Jeyoon Yeom, Taero Kim, Rakwoo Chang, Kyungwoo Song
Pattern Recognition Letters 2024
Language Model-guided Student Performance Prediction with Multimodal Auxiliary Information
Changdae Oh, Minhoi Park, Sungjun Lim, Kyungwoo Song
Expert Systems With Applications 2024
Brain-inspired Lp-Convolution benefits large kernels and aligns better with visual cortex
Jea Kwon, Kyungwoo Song*, C. Justin Lee*
ICLR 2024 Workshop
[paper]
Bibimbap: Pre-trained models ensemble for Domain Generalization
Jinho Kang, Taero Kim, Yewon Kim, Changdae Oh, Jiyoung Jung, Rakwoo Chang, Kyungwoo Song
Pattern Recognition 2024
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
Keon-Hee Park, Kyungwoo Song*, Gyeong-Moon Park*
CVPR 2024
Sentiment Analysis of Online Responses in the Performing Arts with Large Language Models
Baekryun Seong, Kyungwoo Song
Heliyon 2023
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Changdae Oh, Mijoo Kim, Hyesu Lim, Junhyeok Park, Euiseog Jeong, Zhi-Qi Cheng, Kyungwoo Song
NeurIPS Workshop 2023
Geodesic Multi-Modal Mixup for Robust Fine-tuning
Changdae Oh*, Junhyuk So*, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song
NeurIPS 2023
Causally Disentangled Generative Variational AutoEncoder
SeungHwan An, Kyungwoo Song, Jong-June Jeon
ECAI 2023
[paper]
COVID-19 Infection Inference with Graph Neural Networks
Kyungwoo Song*, Hojun Park*, Junggu Lee, Arim Kim, Jaehun Jung
Scientific Reports 2023
[paper]
Robust Contrastive Learning with Dynamic Mixed Margin
Junhyuk So*, Yongtaek Lim*, Yewon Kim*, Changdae Oh, Kyungwoo Song
IEEE Access 2023
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
[paper]
Sequential Likelihood-Free Inference with Neural Proposal
Dongjun Kim , Kyungwoo Song , Yoon-Yeong Kim , Yongjin Shin , Wanmo Kang , Il-Chul Moon , Weonyoung Joo
Pattern Recognition Letters 2023
[paper]
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
Changdae Oh, Hyeji Hwang, Hee-young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
CVPR 2023
Leveraging Skill-to-Skill Supervision for Knowledge Tracing
Hyeondey Kim, Yun Jegal, Jinwoo Nam, Minjae Lee, Kyungwoo Song
AAAI 2023 Workshop AI4Edu
[paper]
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon
NeurIPS 2022
[paper]
Shortcut Learning in Machine Learning: Challenges, Analysis, Solutions
Sanghyuk Chun, Kyungwoo Song, Yonghan Jung
FAccT 2022 Tutorial
[website]
Improving Group-based Robustness and Calibration via Ordered Risk and Confidence Regularization
Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, Il-chul Moon
ICML 2022 Workshop SCIS
[paper]
Learning Fair Representation via Distributional Contrastive Disentanglement
Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
KDD 2022
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
HeeSun Bae, Seungjae Shin, JoonHo Jang, Byeonghu Na, Kyungwoo Song, Il-Chul Moon
ICML 2022
[paper]
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-chul Moon
ICML 2022
[paper]
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
Yohan Jung, Kyungwoo Song, Jinkyoo Park
ICML 2022
[paper]
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
Yooon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-chul Moon
NeurIPS 2021
[paper]
Implicit Kernel Attention
Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon
AAAI 2021
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon.
AAAI 2021
[paper]
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation
Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon
Findings of EMNLP 2020
[paper]
Deep Generative Positive-Unlabeled Learning under Selection Bias
ByeongHu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoonyeong Kim, Il-Chul Moon
CIKM 2020
[paper]
Context Aware Sequence Modeling
Kyungwoo Song
IJCAI 2020 Doctoral Consortium
[paper]
Bivariate Beta-LSTM
Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon
AAAI 2020
[paper] [code]
Hierarchically Clustered Representation Learning
Su-Jin Shin, Kyungwoo Song, Il-Chul Moon
AAAI 2020
[paper]
Sequential Recommendation with Relation-Aware Kernelized Self-Attention
Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoonyeong Kim, Il-Chul Moon
AAAI 2020
[paper]
Hierarchical Context enabled Recurrent Neural Network for Recommendation
Kyungwoo Song*, Mingi Ji*, Sungrae Park, Il-Chul Moon
AAAI 2019
[paper] [code]
Adversarial Dropout for Recurrent Neural Networks
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon
AAAI 2019
[paper] [code]
Ballistic Coefficient Estimation with Gaussian Process Particle Filter
Il-Chul Moon, Jinhyung Tak, Sang-Hyeon Kim, Kyungwoo Song
ICCAS 2018
[paper]
Neural Ideal Point Estimation Network
Kyungwoo Song, Wonsung Lee, Il-Chul Moon
AAAI 2018
[paper] [code]
State Prediction of High-speed Ballistic Vehicles with Gaussian Process
Il-Chul Moon, Kyungwoo Song, Sang-Hyeon Kim, Han-Lim Choi
International Journal of Control, Automation, and Systems (IJCAS) 2018
[paper]
Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information
Wonsung Lee, Kyungwoo Song, Il-Chul Moon
CIKM 2017
[paper]
Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles
Kyungwoo Song, Sang-Hyeon Kim, Jinhyung Tak, Han-Lim Choi, Il-Chul Moon
FUSION 2016
[paper] [slide]
Identifying the evolution of disasters and responses with network-text analysis
Kyungwoo Song, Do-Hyeong Kim, Su-Jin Shin, Il-Chul Moon
SMC 2014
[paper] [slide]
(* Equal Contribution)