| 2026 | ACL | CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge. | Seyun Bae, Seokhan Lee, Eunho Yang |
| 2026 | ACL | PhaseMI: A Motivational Interviewing Dataset for Enhancing Phase Progression in LLM-based Counseling. | Jina Kim, Myeongho Jeon, Soohyun Cho, Chae-Gyun Lim, Jongmin Lim, Haewon Min, Eunho Yang |
| 2026 | ACL | Bringing Real-World Relations into Video Generation with Graph-Structured Knowledge. | Joonhyung Park, Jaeyun Song, Sihwan Park, Eunho Yang |
| 2026 | EACL | Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines. | Jean Seo, Gibaeg Kim, Kihun Shin, Seungseop Lim, Hyunkyung Lee, Wooseok Han, Jongwon Lee, Eunho Yang |
| 2026 | WACV | Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood. | Gilhyun Nam, Taewon Kim, Joonhyun Jeong, Eunho Yang |
| 2025 | AAAI | Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy. | Hyunjin Seo, Kyusung Seo, Joonhyung Park, Eunho Yang |
| 2025 | CVPR | Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy. | Joonhyun Jeong, Seyun Bae, Yeonsung Jung, Jaeryong Hwang, Eunho Yang |
| 2025 | CVPR | Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing. | Yoonjeon Kim, Soohyun Ryu, Yeonsung Jung, Hyunkoo Lee, Joowon Kim, June Yong Yang, Jaeryong Hwang, Eunho Yang |
| 2025 | EMNLP | Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens. | Sohee Kim, Soohyun Ryu, Joonhyung Park, Eunho Yang |
| 2025 | EMNLP | Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation. | Seungseop Lim, Gibaeg Kim, Wooseok Han, Jean Seo, Hyunkyung Lee, Jaehyo Yoo, Eunho Yang |
| 2025 | EMNLP | Taxonomy of Comprehensive Safety for Clinical Agents. | Jean Seo, Hyunkyung Lee, Gibaeg Kim, Wooseok Han, Jaehyo Yoo, Seungseop Lim, Kihun Shin, Eunho Yang |
| 2025 | ICASSP | Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting. | Wooseok Han, Minki Kang, Changhun Kim, Eunho Yang |
| 2025 | ICASSP | Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping. | Minki Kang, Wooseok Han, Eunho Yang |
| 2025 | ICCV | Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing. | Joowon Kim, Ziseok Lee, Donghyeon Cho, Sanghyun Jo, Yeonsung Jung, Kyungsu Kim, Eunho Yang |
| 2025 | ICLR | LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding. | Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang |
| 2025 | ICLR | Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation. | Byungjai Kim, Chanho Ahn, Wissam J. Baddar, Kikyung Kim, Huijin Lee, Saehyun Ahn, Seungju Han, Sungjoo Suh, Eunho Yang |
| 2025 | ICLR | REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring. | Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang |
| 2025 | ICLR | Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models. | Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kyungsu Kim, Eunho Yang, Kang Min Yoo |
| 2025 | ICLR | Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning. | Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang |
| 2025 | ICML | TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation. | Hyeongwon Jang, Changhun Kim, Eunho Yang |
| 2025 | NAACL | LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. | Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee |
| 2024 | CVPR | Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images. | JungEun Kim, Hangyul Yoon, Geondo Park, Kyungsu Kim, Eunho Yang |
| 2024 | ECCV | TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias. | Sanghyun Jo, Soohyun Ryu, Sungyub Kim, Eunho Yang, Kyungsu Kim |
| 2024 | ECCV | CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation. | Hajin Shim, Changhun Kim, Eunho Yang |
| 2024 | EMNLP | PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning. | Gyeongman Kim, Doohyuk Jang, Eunho Yang |
| 2024 | ICLR | TEDDY: Trimming Edges with Degree-based Discrimination Strategy. | Hyunjin Seo, Jihun Yun, Eunho Yang |
| 2024 | ICLR | Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication. | June Yong Yang, Geondo Park, Joowon Kim, Hyeongwon Jang, Eunho Yang |
| 2024 | ICML | PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. | Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang |
| 2023 | CVPR | BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. | Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han |
| 2023 | CVPR | Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding. | Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang |
| 2023 | ICASSP | Weavspeech: Data Augmentation Strategy For Automatic Speech Recognition Via Semantic-Aware Weaving. | Kyusung Seo, Joonhyung Park, Jaeyun Song, Eunho Yang |
| 2023 | ICCV | PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label. | Joonhyung Park, Hyunjin Seo, Eunho Yang |
| 2023 | ICLR | Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance. | Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang |
| 2023 | ICLR | Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. | Sungyub Kim, Sihwan Park, Kyung-Su Kim, Eunho Yang |
| 2023 | ICML | Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. | Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang |
| 2023 | ICML | RGE: A Repulsive Graph Rectification for Node Classification via Influence. | Jaeyun Song, Sungyub Kim, Eunho Yang |
| 2023 | Interspeech | ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. | Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang |
| 2023 | Interspeech | SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization. | Changhun Kim, Joonhyung Park, Hajin Shim, Eunho Yang |
| 2022 | AAAI | Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. | Joonhyung Park, Hajin Shim, Eunho Yang |
| 2022 | AAAI | Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. | Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang |
| 2022 | AISTATS | AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning. | Jihun Yun, Aurlie C. Lozano, Eunho Yang |
| 2022 | ICLR | Online Hyperparameter Meta-Learning with Hypergradient Distillation. | Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang |
| 2022 | ICLR | Model-augmented Prioritized Experience Replay. | Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang |
| 2022 | ICLR | GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification. | Joonhyung Park, Jaeyun Song, Eunho Yang |
| 2022 | ICLR | Online Coreset Selection for Rehearsal-based Continual Learning. | Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang |
| 2022 | ICML | Set Based Stochastic Subsampling. | Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang |
| 2022 | ICML | TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification. | Jaeyun Song, Joonhyung Park, Eunho Yang |
| 2022 | NAACL | Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods. | Juhyuk Lee, Min-Joong Lee, June Yong Yang, Eunho Yang |
| 2021 | AAAI | Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. | Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang |
| 2021 | AAAI | GTA: Graph Truncated Attention for Retrosynthesis. | Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang |
| 2021 | ASRU | Learning How Long to Wait: Adaptively-Constrained Monotonic Multihead Attention for Streaming ASR. | Jaeyun Song, Hajin Shim, Eunho Yang |
| 2021 | EMNLP | Distilling Linguistic Context for Language Model Compression. | Geondo Park, Gyeongman Kim, Eunho Yang |
| 2021 | ICASSP | Mutually-Constrained Monotonic Multihead Attention for Online ASR. | Jaeyun Song, Hajin Shim, Eunho Yang |
| 2021 | ICCV | Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. | Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang |
| 2021 | ICLR | Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. | Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang |
| 2021 | ICLR | Learning to Sample with Local and Global Contexts in Experience Replay Buffer. | Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang |
| 2021 | ICLR | FedMix: Approximation of Mixup under Mean Augmented Federated Learning. | Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang |
| 2021 | ICML | Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. | Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang |
| 2021 | ICML | Federated Continual Learning with Weighted Inter-client Transfer. | Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang |
| 2021 | IJCAI | RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. | Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin |
| 2021 | Interspeech | Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models. | Ho-Gyeong Kim, Min-Joong Lee, Hoshik Lee, Tae Gyoon Kang, Jihyun Lee, Eunho Yang, Sung Ju Hwang |
| 2020 | AAAI | Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. | Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang |
| 2020 | ICLR | Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. | Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang |
| 2020 | ICLR | Meta Dropout: Learning to Perturb Latent Features for Generalization. | Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang |
| 2020 | ICLR | Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks. | Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang |
| 2020 | ICLR | Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. | Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang |
| 2020 | ICML | Cost-Effective Interactive Attention Learning with Neural Attention Processes. | Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang |
| 2019 | ICLR | Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. | Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang |
| 2019 | ICML | Spectral Approximate Inference. | Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin |
| 2019 | ICML | Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning. | Jihun Yun, Peng Zheng, Eunho Yang, Aurlie C. Lozano, Aleksandr Y. Aravkin |
| 2018 | ICLR | Lifelong Learning with Dynamically Expandable Networks. | Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang |
| 2018 | ICML | Deep Asymmetric Multi-task Feature Learning. | Haebeom Lee, Eunho Yang, Sung Ju Hwang |
| 2017 | ICML | Ordinal Graphical Models: A Tale of Two Approaches. | Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar |
| 2017 | ICML | Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity. | Eunho Yang, Aurlie C. Lozano |
| 2016 | ICML | Asymmetric Multi-task Learning based on Task Relatedness and Confidence. | Giwoong Lee, Eunho Yang, Sung Ju Hwang |
| 2014 | AISTATS | Mixed Graphical Models via Exponential Families. | Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu |
| 2014 | ICML | Elementary Estimators for High-Dimensional Linear Regression. | Eunho Yang, Aurlie C. Lozano, Pradeep Ravikumar |
| 2014 | ICML | Elementary Estimators for Sparse Covariance Matrices and other Structured Moments. | Eunho Yang, Aurlie C. Lozano, Pradeep Ravikumar |
| 2013 | IJCAI | On Robust Estimation of High Dimensional Generalized Linear Models. | Eunho Yang, Ambuj Tewari, Pradeep Ravikumar |
| 2011 | ICML | On the Use of Variational Inference for Learning Discrete Graphical Model. | Eunho Yang, Pradeep Ravikumar |
| 2008 | ISPA | The Bandwidth Feasibility Test Method for Ubiquitous Teleconference on Future Internet. | Sunglim Lee, Koji Okamura, Eunho Yang |
| 2008 | LCN | On selfish behavior using asymmetric carrier sensing in IEEE 802.11 wireless networks. | Eunho Yang, Jaehyuk Choi, Sunglim Lee |