Publications
Peer-Reviewed Papers
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)
Flat Posterior For Bayesian Model Averaging
SungJun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Jiyoung Jung*, 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
[paper]
Language Model-guided Student Performance Prediction with Multimodal Auxiliary Information
Changdae Oh, Minhoi Park, Sungjun Lim, Kyungwoo Song
Expert Systems With Applications 2024
[paper]
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
[paper]
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
Keon-Hee Park, Kyungwoo Song*, Gyeong-Moon Park*
CVPR 2024
[paper]
Sentiment Analysis of Online Responses in the Performing Arts with Large Language Models
Baekryun Seong, Kyungwoo Song
Heliyon 2023
[paper]
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
[paper]
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
[paper]
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
[paper]
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]
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)