Kyungwoo Song
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
18
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | PAKDD | EPLKG: Efficient Prompt Learning with Knowledge Graph. | YongTaek Lim, Suho Kang, Yewon Kim, Dokyuung Yoon, Jiyoung Jung, Kyungwoo Song |
| 2026 | PAKDD | Enhancing LLMs for Manufacturing Information Extraction. | Subeen Park, Hakyung Lee, Ryunyi Lee, Hyo-won Suh, Kyungwoo Song |
| 2026 | SAC | CBPE: Causal-aware Blood Pressure Estimation with Multimodal Data. | Hoyoon Byun, Sumin Park, Jinho Kang, Hyeonjeong Lee, Minseong Kim, Doosik Kim, Kwang-Yong Kim, Kyungwoo Song |
| 2025 | ACL | Uncertainty-Aware Contrastive Decoding. | Hakyung Lee, Subeen Park, Joowang Kim, Sungjun Lim, Kyungwoo Song |
| 2025 | CIKM | Causal Effect Variational Transformer for Public Health Measures and COVID-19 Infection Cluster Analysis. | Jinho Kang, Sungjun Lim, Hojun Park, Jiyoung Jung, Jaehun Jung, Kyungwoo Song |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Sufficient Invariant Learning for Distribution Shift. | Taero Kim, Subeen Park, Sungjun Lim, Yonghan Jung, Krikamol Muandet, Kyungwoo Song |
| 2025 | EMNLP | TIDES: Technical Information Discovery and Extraction System. | Jihee Kim, Subeen Park, Hakyung Lee, YongTaek Lim, Hyo-won Suh, Kyungwoo Song |
| 2025 | ICLR | Brain-inspired Lp-Convolution benefits large kernels and aligns better with visual cortex. | Jea Kwon, Sungjun Lim, Kyungwoo Song, C. Justin Lee |
| 2025 | ICLR | DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. | Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han |
| 2025 | KDD | Exploring the Potential of Foundation Models as Reliable AI Contact Centers. | Hoyoon Byun, Minhoi Park, Seolah Kim, EunBi Kim, Kyungwoo Song |
| 2025 | NAACL | LBC: Language-Based-Classifier for Out-Of-Variable Generalization. | Kangjun Noh, Baekryun Seong, Hoyoon Byun, Youngjun Choi, Sungjin Song, Kyungwoo Song |
| 2025 | WACV | Enhancing Visual Classification Using Comparative Descriptors. | Hankyeol Lee, Gawon Seo, Wonseok Choi, Geunyoung Jung, Kyungwoo Song, Jiyoung Jung |
| 2025 | UAI | Flat Posterior Does Matter For Bayesian Model Averaging. | Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song |
| 2024 | CVPR | Pre-trained Vision and Language Transformers are Few-Shot Incremental Learners. | Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park |
| 2024 | ECAI | Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. | Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song |
| 2024 | ECCV | Online Continuous Generalized Category Discovery. | Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park |
| 2024 | EMNLP | 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 |
| 2023 | CVPR | 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 |
| 2023 | ECAI | Causally Disentangled Generative Variational AutoEncoder. | Seunghwan An, Kyungwoo Song, Jong-June Jeon |
| 2023 | ICML | SAAL: Sharpness-Aware Active Learning. | Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon |
| 2022 | ICML | From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. | HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon |
| 2022 | ICML | Efficient Approximate Inference for Stationary Kernel on Frequency Domain. | Yohan Jung, Kyungwoo Song, Jinkyoo Park |
| 2022 | ICML | 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 |
| 2022 | KDD | Learning Fair Representation via Distributional Contrastive Disentanglement. | Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song |
| 2021 | AAAI | Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. | Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon |
| 2021 | AAAI | Implicit Kernel Attention. | Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon |
| 2020 | AAAI | Sequential Recommendation with Relation-Aware Kernelized Self-Attention. | Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon |
| 2020 | AAAI | Hierarchically Clustered Representation Learning. | Su-Jin Shin, Kyungwoo Song, Il-Chul Moon |
| 2020 | AAAI | Bivariate Beta-LSTM. | Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon |
| 2020 | CIKM | Deep Generative Positive-Unlabeled Learning under Selection Bias. | Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon |
| 2020 | EMNLP | 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 |
| 2020 | IJCAI | Context Aware Sequence Modeling. | Kyungwoo Song |
| 2019 | AAAI | Adversarial Dropout for Recurrent Neural Networks. | Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon |
| 2019 | AAAI | Hierarchical Context Enabled Recurrent Neural Network for Recommendation. | Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon |
| 2018 | AAAI | Neural Ideal Point Estimation Network. | Kyungwoo Song, Wonsung Lee, Il-Chul Moon |
| 2017 | CIKM | Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information. | Wonsung Lee, Kyungwoo Song, Il-Chul Moon |
| 2016 | FUSION | 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 |
| 2014 | SMC | Identifying the evolution of disasters and responses with network-text analysis. | Kyungwoo Song, Do-Hyeong Kim, Su-Jin Shin, Il-Chul Moon |