Kyungwoo Song - RankMe

105 papers A* 24A 7B 2C 1Journal 64Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models. CoRR Hoyoon Byun, Youngjun Choi, Taero Kim, Sungrae Park, Kyungwoo Song
2026	J	`jnl`	Graph Perceiver IO: A general architecture for graph-structured data. Pattern Recognit. Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song
2026	J	`jnl`	Multi-LLM Adaptive Conformal Inference for Reliable LLM Responses. CoRR Kangjun Noh, Seongchan Lee, Ilmun Kim, Kyungwoo Song
2026	J	`jnl`	ReCoD: Enhancing image description for cross-modal understanding via retrieval and comparison feedback mechanism. Neurocomputing Geunyoung Jung, Jun Park, Hankyeol Lee, Kyungwoo Song, Jiyoung Jung
2025	J	`jnl`	Adaptive Task Vectors for Large Language Models. CoRR Joonseong Kang, Soojeong Lee, Subeen Park, Sumin Park, Taero Kim, Jihee Kim, Ryunyi Lee, Kyungwoo Song
2025	A*	`conf`	Brain-inspired Lp-Convolution benefits large kernels and aligns better with visual cortex. ICLR Jea Kwon, Sungjun Lim, Kyungwoo Song, C. Justin Lee
2025	J	`jnl`	COVID-19 prediction with doubly multi-task Gaussian Process. J. Biomed. Informatics Sooyon Kim, YongTaek Lim, Sungjun Lim, Gyeongdeok Seo, Jihee Kim, Hojun Park, Jaehun Jung, Kyungwoo Song
2025	A	`conf`	Causal Effect Variational Transformer for Public Health Measures and COVID-19 Infection Cluster Analysis. CIKM Jinho Kang, Sungjun Lim, Hojun Park, Jiyoung Jung, Jaehun Jung, Kyungwoo Song
2025	J	`jnl`	Correction To: Dirichlet stochastic weights averaging for graph neural networks. Appl. Intell. Minhoi Park, Rakwoo Chang, Kyungwoo Song
2025	J	`jnl`	Correction to: Dirichlet stochastic weights averaging for graph neural networks. Appl. Intell. Minhoi Park, Rakwoo Chang, Kyungwoo Song
2025	A*	`conf`	DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. ICLR Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han
2025	J	`jnl`	Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach. CoRR Youngjun Choi, Joonseong Kang, Sungjun Lim, Kyungwoo Song
2025	A	`conf`	Enhancing Visual Classification Using Comparative Descriptors. WACV Hankyeol Lee, Gawon Seo, Wonseok Choi, Geunyoung Jung, Kyungwoo Song, Jiyoung Jung
2025	—	`conf`	Exploring the Potential of Foundation Models as Reliable AI Contact Centers. KDD (2) Hoyoon Byun, Minhoi Park, Seolah Kim, Eunbi Kim, Kyungwoo Song
2025	A	`conf`	Flat Posterior Does Matter For Bayesian Model Averaging. UAI Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song
2025	J	`jnl`	Fog-free training for foggy scene understanding. Pattern Recognit. Lett. Minyoung Lee, Kyungwoo Song, Junsuk Choe
2025	J	`jnl`	GFML: Gravity function for metric learning. Eng. Appl. Artif. Intell. Hoyoon Byun, Sungjun Lim, Kyungwoo Song
2025	J	`jnl`	Generating Accurate and Detailed Captions for High-Resolution Images. CoRR Hankyeol Lee, Gawon Seo, Kyounggyu Lee, Dogun Kim, Kyungwoo Song, Jiyoung Jung
2025	—	`conf`	IMC: A Benchmark for Invariant Learning under Multiple Causes. CVPR Workshops Taero Kim, Seonggyun Lee, Joonseong Kang, Youngjun Choi, Wonsang Yun, Nicole Hee-Yeon Kim, Ziyu Chen, Lexing Xie, Kyungwoo Song
2025	—	`conf`	LBC: Language-Based-Classifier for Out-Of-Variable Generalization. NAACL (Long Papers) Kangjun Noh, Baekryun Seong, Hoyoon Byun, Youngjun Choi, Sungjin Song, Kyungwoo Song
2025	J	`jnl`	MIDUS: Memory-Infused Depth Up-Scaling. CoRR Taero Kim, Hoyoon Byun, Youngjun Choi, Sungrae Park, Kyungwoo Song
2025	J	`jnl`	Multi-purpose technology commercialization recommender system with large-scale Korean language model. J. Supercomput. Kangjun Noh, Hyeji Hwang, YongTaek Lim, Changdae Oh, Seungyeon Kim, Eunkyeong Lee, Yunjeong Choi, Sungjin Kim, Hosik Choi, Kyungwoo Song
2025	J	`jnl`	Multi-query frequency prompting for physiological signal domain adaptation. Knowl. Based Syst. Jinho Kang, Hoyoon Byun, Taero Kim, Jiyoung Jung, Kyungwoo Song
2025	B	`conf`	RAILL: Retrieval-Augmented Instruction Tuning for Low-Resource Language Model Training. IEEE Big Data Youngjun Choi, Sungjun Lim, Minhoi Park, Jaekyeong Jung, Taekyung Kim, Eunsik Kim, Chul-Su Kim, Kyongjae Lee, Hosik Choi, Kyungwoo Song
2025	J	`jnl`	Robust optimization for PPG-based blood pressure estimation. Biomed. Signal Process. Control. Sungjun Lim, Taero Kim, Hyeonjeong Lee, Yewon Kim, Minhoi Park, Kwang-Yong Kim, Minseong Kim, Kyu Hyung Kim, Jiyoung Jung, Kyungwoo Song
2025	J	`jnl`	Semi-Supervised Preference Optimization with Limited Feedback. CoRR Seonggyun Lee, Sungjun Lim, Seojin Park, Soeun Cheon, Kyungwoo Song
2025	J	`jnl`	Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness. CoRR Subeen Park, Joowang Kim, Hakyung Lee, Sunjae Yoo, Kyungwoo Song
2025	A*	`conf`	Sufficient Invariant Learning for Distribution Shift. CVPR Taero Kim, Subeen Park, Sungjun Lim, Yonghan Jung, Krikamol Muandet, Kyungwoo Song
2025	J	`jnl`	TC-BERT: large-scale language model for Korean technology commercialization documents. J. Supercomput. Taero Kim, Changdae Oh, Hyeji Hwang, Eunkyeong Lee, Yewon Kim, Yunjeong Choi, Sungjin Kim, Hosik Choi, Kyungwoo Song
2025	A*	`conf`	TIDES: Technical Information Discovery and Extraction System. EMNLP Jihee Kim, Subeen Park, Hakyung Lee, YongTaek Lim, Hyo-Won Suh, Kyungwoo Song
2025	—	`conf`	Uncertainty-Aware Contrastive Decoding. ACL (Findings) Hakyung Lee, Subeen Park, Joowang Kim, Sungjun Lim, Kyungwoo Song
2025	J	`jnl`	Uncertainty-driven Embedding Convolution. CoRR Sungjun Lim, Kangjun Noh, Youngjun Choi, Heeyoung Lee, Kyungwoo Song
2024	J	`jnl`	Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and Validation. CoRR Suho Kang, Jungyang Park, Joonseo Ha, Somin Kim, JinHyeong Kim, Subeen Park, Kyungwoo Song
2024	J	`jnl`	Bibimbap : Pre-trained models ensemble for Domain Generalization. Pattern Recognit. Jinho Kang, Taero Kim, Yewon Kim, Changdae Oh, Jiyoung Jung, Rakwoo Chang, Kyungwoo Song
2024	—	`conf`	CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text. EMNLP (Findings) Hakyung Lee, Keon-Hee Park, Hoyoon Byun, Jeyoon Yeom, Jihee Kim, Gyeong-Moon Park, Kyungwoo Song
2024	J	`jnl`	DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. CoRR Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han
2024	J	`jnl`	Dirichlet stochastic weights averaging for graph neural networks. Appl. Intell. Minhoi Park, Rakwoo Chang, Kyungwoo Song
2024	J	`jnl`	Enhancing Visual Classification using Comparative Descriptors. CoRR Hankyeol Lee, Gawon Seo, Wonseok Choi, Geunyoung Jung, Kyungwoo Song, Jiyoung Jung
2024	J	`jnl`	Flat Posterior Does Matter For Bayesian Transfer Learning. CoRR Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song
2024	J	`jnl`	GloGen: PPG prompts for few-shot transfer learning in blood pressure estimation. Comput. Biol. Medicine Taero Kim, Hyeonjeong Lee, Minseong Kim, Kwang-Yong Kim, Kyu Hyung Kim, Kyungwoo Song
2024	J	`jnl`	LBC: Language-Based-Classifier for Out-Of-Variable Generalization. CoRR Kangjun Noh, Baekryun Seong, Hoyoon Byun, Youngjun Choi, Sungjin Song, Kyungwoo Song
2024	J	`jnl`	Language model-guided student performance prediction with multimodal auxiliary information. Expert Syst. Appl. Changdae Oh, Minhoi Park, Sungjun Lim, Kyungwoo Song
2024	J	`jnl`	Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding. CoRR Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, David R. Mortensen
2024	—	`conf`	Online Continuous Generalized Category Discovery. ECCV (81) Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park
2024	J	`jnl`	Online Continuous Generalized Category Discovery. CoRR Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park
2024	A	`conf`	Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. ECAI Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song
2024	J	`jnl`	Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. CoRR Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song
2024	J	`jnl`	Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners. CoRR Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park
2024	A*	`conf`	Pre-trained Vision and Language Transformers are Few-Shot Incremental Learners. CVPR Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park
2024	J	`jnl`	Robust Adaptation of Foundation Models with Black-Box Visual Prompting. CoRR Changdae Oh, Gyeongdeok Seo, Geunyoung Jung, Zhi-Qi Cheng, Hosik Choi, Jiyoung Jung, Kyungwoo Song
2024	J	`jnl`	Structural and positional ensembled encoding for Graph Transformer. Pattern Recognit. Lett. Jeyoon Yeom, Taero Kim, Rakwoo Chang, Kyungwoo Song
2024	J	`jnl`	Tc-llama 2: fine-tuning LLM for technology and commercialization applications. J. Big Data Jeyoon Yeom, Hakyung Lee, Hoyoon Byun, Yewon Kim, Jeongeun Byun, Yunjeong Choi, Sungjin Kim, Kyungwoo Song
2024	A*	`conf`	Towards Calibrated Robust Fine-Tuning of Vision-Language Models. NeurIPS Changdae Oh, Hyesu Lim, Mijoo Kim, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander Hauptmann, Zhi-Qi Cheng, Kyungwoo Song
2023	A*	`conf`	BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CVPR Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
2023	J	`jnl`	BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CoRR Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
2023	A	`conf`	Causally Disentangled Generative Variational AutoEncoder. ECAI Seunghwan An, Kyungwoo Song, Jong-June Jeon
2023	J	`jnl`	Causally Disentangled Generative Variational AutoEncoder. CoRR Seunghwan An, Kyungwoo Song, Jong-June Jeon
2023	A*	`conf`	Geodesic Multi-Modal Mixup for Robust Fine-Tuning. NeurIPS Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song
2023	J	`jnl`	Leveraging Skill-to-Skill Supervision for Knowledge Tracing. CoRR Hyeondey Kim, Jinwoo Nam, Minjae Lee, Yun Jegal, Kyungwoo Song
2023	J	`jnl`	RPLKG: Robust Prompt Learning with Knowledge Graph. CoRR Yewon Kim, YongTaek Lim, Dokyung Yoon, Kyungwoo Song
2023	J	`jnl`	Robust Contrastive Learning With Dynamic Mixed Margin. IEEE Access Junhyuk So, YongTaek Lim, Yewon Kim, Changdae Oh, Kyungwoo Song
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
2023	J	`jnl`	Sequential Likelihood-Free Inference with Neural Proposal. Pattern Recognit. Lett. Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo
2023	J	`jnl`	Towards Calibrated Robust Fine-Tuning of Vision-Language Models. CoRR Changdae Oh, Mijoo Kim, Hyesu Lim, Junhyeok Park, Euiseog Jeong, Zhi-Qi Cheng, Kyungwoo Song
2022	A*	`conf`	Efficient Approximate Inference for Stationary Kernel on Frequency Domain. ICML Yohan Jung, Kyungwoo Song, Jinkyoo Park
2022	A*	`conf`	From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. ICML HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon
2022	J	`jnl`	From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. CoRR HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon
2022	J	`jnl`	Graph Perceiver IO: A General Architecture for Graph Structured Data. CoRR Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song
2022	A*	`conf`	Learning Fair Representation via Distributional Contrastive Disentanglement. KDD Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
2022	J	`jnl`	Learning Fair Representation via Distributional Contrastive Disentanglement. CoRR Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
2022	J	`jnl`	Multi-Modal Mixup for Robust Fine-tuning. CoRR Junhyuk So, Changdae Oh, Minchul Shin, Kyungwoo Song
2022	J	`jnl`	Sharpness-aware Minimization for Worst Case Optimization. CoRR Taero Kim, Sungjun Lim, Kyungwoo Song
2022	A*	`conf`	Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation. ICML Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
2022	A*	`conf`	Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. NeurIPS JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon
2022	J	`jnl`	Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. CoRR JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon
2021	A*	`conf`	Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. AAAI Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon
2021	A*	`conf`	Implicit Kernel Attention. AAAI Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon
2021	A*	`conf`	LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning. NeurIPS Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon
2021	J	`jnl`	Posterior-Aided Regularization for Likelihood-Free Inference. CoRR Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon
2021	J	`jnl`	Score Matching Model for Unbounded Data Score. CoRR Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
2020	J	`jnl`	Approximate Inference for Spectral Mixture Kernel. CoRR Yohan Jung, Kyungwoo Song, Jinkyoo Park
2020	A*	`conf`	Bivariate Beta-LSTM. AAAI Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon
2020	A*	`conf`	Context Aware Sequence Modeling. IJCAI Kyungwoo Song
2020	J	`jnl`	Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. CoRR Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon
2020	A	`conf`	Deep Generative Positive-Unlabeled Learning under Selection Bias. CIKM Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon
2020	A*	`conf`	Hierarchically Clustered Representation Learning. AAAI Su-Jin Shin, Kyungwoo Song, Il-Chul Moon
2020	J	`jnl`	Implicit Kernel Attention. CoRR Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon
2020	J	`jnl`	LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning. CoRR Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon
2020	—	`conf`	Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. EMNLP (Findings) Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon
2020	J	`jnl`	Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. CoRR Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon
2020	J	`jnl`	Sequential Likelihood-Free Inference with Implicit Surrogate Proposal. CoRR Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Il-Chul Moon
2020	A*	`conf`	Sequential Recommendation with Relation-Aware Kernelized Self-Attention. AAAI Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon
2019	A*	`conf`	Adversarial Dropout for Recurrent Neural Networks. AAAI Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon
2019	J	`jnl`	Adversarial Dropout for Recurrent Neural Networks. CoRR Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon
2019	J	`jnl`	Bivariate Beta LSTM. CoRR Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon
2019	A*	`conf`	Hierarchical Context Enabled Recurrent Neural Network for Recommendation. AAAI Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon
2019	J	`jnl`	Hierarchical Context enabled Recurrent Neural Network for Recommendation. CoRR Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon
2019	J	`jnl`	Hierarchically Clustered Representation Learning. CoRR Su-Jin Shin, Kyungwoo Song, Il-Chul Moon
2019	J	`jnl`	Neural Ideal Point Estimation Network. CoRR Kyungwoo Song, Wonsung Lee, Il-Chul Moon
2019	J	`jnl`	Sequential Recommendation with Relation-Aware Kernelized Self-Attention. CoRR Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon
2018	A*	`conf`	Neural Ideal Point Estimation Network. AAAI Kyungwoo Song, Wonsung Lee, Il-Chul Moon
2017	A	`conf`	Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information. CIKM Wonsung Lee, Kyungwoo Song, Il-Chul Moon
2016	C	`conf`	Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles. FUSION Kyungwoo Song, Sang-Hyeon Kim, Jinhyung Tak, Han-Lim Choi, Il-Chul Moon
2015	J	`jnl`	The Regularity of Semihyperbolic Patches Near Sonic Lines for The 2-D Euler System in Gas Dynamics. SIAM J. Math. Anal. Kyungwoo Song, Qin Wang, Yuxi Zheng
2014	B	`conf`	Identifying the evolution of disasters and responses with network-text analysis. SMC Kyungwoo Song, Do-Hyeong Kim, Su-Jin Shin, Il-Chul Moon