EIMD: A New Congestion Control for Fast Long-Distance Networks. - Eunho Yang; Seong-il Hahm; Seongho Cho; Chong-kwon Kim; Pillwoo Lee (ICOIN, 2006)

The Bandwidth Feasibility Test Method for Ubiquitous Teleconference on Future Internet. - Sunglim Lee; Koji Okamura; Eunho Yang (ISPA, 2008)

On selfish behavior using asymmetric carrier sensing in IEEE 802.11 wireless networks. - Eunho Yang; Jaehyuk Choi; Sunglim Lee (LCN, 2008)

Selfish retransmission protocol in an IR-UWB system. - Jimyung Kang; Eunho Yang; Youngjin Park; Soonwoo Lee; Yonghwa Kim; Kwanho Kim (ICOIN, 2009)

Tele-conference using advanced tool on future IP. - Sunglim Lee; Koji Okamura; Eunho Yang (ICOIN, 2009)

On the Use of Variational Inference for Learning Discrete Graphical Model. - Eunho Yang; Pradeep Ravikumar (ICML, 2011)

On NDCG Consistency of Listwise Ranking Methods. - Pradeep Ravikumar; Ambuj Tewari; Eunho Yang (AISTATS, 2011)

Graphical Models via Generalized Linear Models. - Eunho Yang; Pradeep Ravikumar; Genevera I. Allen; Zhandong Liu (NIPS, 2012)

Perturbation based Large Margin Approach for Ranking. - Eunho Yang; Ambuj Tewari; Pradeep Ravikumar (AISTATS, 2012)

On Robust Estimation of High Dimensional Generalized Linear Models. - Eunho Yang; Ambuj Tewari; Pradeep Ravikumar (IJCAI, 2013)

Dirty Statistical Models. - Eunho Yang; Pradeep Ravikumar (NIPS, 2013)

Conditional Random Fields via Univariate Exponential Families. - Eunho Yang; Pradeep Ravikumar; Genevera I. Allen; Zhandong Liu (NIPS, 2013)

On Poisson Graphical Models. - Eunho Yang; Pradeep Ravikumar; Genevera I. Allen; Zhandong Liu (NIPS, 2013)

Mixed Graphical Models via Exponential Families. - Eunho Yang; Yulia Baker; Pradeep Ravikumar; Genevera I. Allen; Zhandong Liu (AISTATS, 2014)

Elementary Estimators for High-Dimensional Linear Regression. - Eunho Yang; Aurélie C. Lozano; Pradeep Ravikumar (ICML, 2014)

Elementary Estimators for Sparse Covariance Matrices and other Structured Moments. - Eunho Yang; Aurélie C. Lozano; Pradeep Ravikumar (ICML, 2014)

Elementary Estimators for Graphical Models. - Eunho Yang; Aurélie C. Lozano; Pradeep Ravikumar (NIPS, 2014)

Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso. - Eunho Yang; Aurélie C. Lozano (NIPS, 2015)

Closed-form Estimators for High-dimensional Generalized Linear Models. - Eunho Yang; Aurélie C. Lozano; Pradeep Ravikumar (NIPS, 2015)

Graphical models via univariate exponential family distributions. - Eunho Yang; Pradeep Ravikumar; Genevera I. Allen; Zhandong Liu (J. Mach. Learn. Res., 2015)

Asymmetric Multi-task Learning based on Task Relatedness and Confidence. - Giwoong Lee; Eunho Yang; Sung Ju Hwang (ICML, 2016)

XMRF: an R package to fit Markov Networks to high-throughput genetics data. - Ying-Wooi Wan; Genevera I. Allen; Yulia Baker; Eunho Yang; Pradeep Ravikumar; Matthew Anderson 002; Zhandong Liu (BMC Syst. Biol., 2016)

Ordinal Graphical Models: A Tale of Two Approaches. - Arun Sai Suggala; Eunho Yang; Pradeep Ravikumar (ICML, 2017)

Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity. - Eunho Yang; Aurélie C. Lozano (ICML, 2017)

Learning Task Clusters via Sparsity Grouped Multitask Learning. - Meghana Kshirsagar 001; Eunho Yang; Aurélie C. Lozano (ECML/PKDD (2), 2017)

Sequential Local Learning for Latent Graphical Models. - Sejun Park; Eunho Yang; Jinwoo Shin (CoRR, 2017)

Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification. - Hajin Shim; Sung Ju Hwang; Eunho Yang (CoRR, 2017)

DropMax: Adaptive Stochastic Softmax. - Haebeom Lee; Juho Lee 001; Eunho Yang; Sung Ju Hwang (CoRR, 2017)

Lifelong Learning with Dynamically Expandable Networks. - Jaehong Yoon; Eunho Yang; Jeongtae Lee; Sung Ju Hwang (ICLR (Poster), 2018)

Deep Asymmetric Multi-task Feature Learning. - Haebeom Lee; Eunho Yang; Sung Ju Hwang (ICML, 2018)

Uncertainty-Aware Attention for Reliable Interpretation and Prediction. - Jay Heo; Haebeom Lee; Saehoon Kim; Juho Lee 001; Kwang Joon Kim; Eunho Yang; Sung Ju Hwang (NeurIPS, 2018)

DropMax: Adaptive Variational Softmax. - Haebeom Lee; Juho Lee 001; Saehoon Kim; Eunho Yang; Sung Ju Hwang (NeurIPS, 2018)

Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding. - Hajin Shim; Sung Ju Hwang; Eunho Yang (NeurIPS, 2018)

Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. - Juho Lee 001; Saehoon Kim; Jaehong Yoon; Haebeom Lee; Eunho Yang; Sung Ju Hwang (CoRR, 2018)

Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. - Ingyo Chung; Saehoon Kim; Juho Lee 001; Sung Ju Hwang; Eunho Yang (CoRR, 2018)

Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. - Yanbin Liu; Juho Lee 001; Minseop Park; Saehoon Kim; Eunho Yang; Sung Ju Hwang; Yi Yang 001 (ICLR (Poster), 2019)

Spectral Approximate Inference. - Sejun Park; Eunho Yang; Se-Young Yun; Jinwoo Shin (ICML, 2019)

Trimming the $ ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning. - Jihun Yun; Peng Zheng 002; Eunho Yang; Aurélie C. Lozano; Aleksandr Y. Aravkin (ICML, 2019)

ORACLE: Order Robust Adaptive Continual LEarning. - Jaehong Yoon; Saehoon Kim; Eunho Yang; Sung Ju Hwang (CoRR, 2019)

Stochastic Gradient Methods with Block Diagonal Matrix Adaptation. - Jihun Yun; Aurélie C. Lozano; Eunho Yang (CoRR, 2019)

Meta Dropout: Learning to Perturb Features for Generalization. - Haebeom Lee; Taewook Nam; Eunho Yang; Sung Ju Hwang (CoRR, 2019)

Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. - Joonyoung Yi; Juhyuk Lee; Sung Ju Hwang; Eunho Yang (CoRR, 2019)

Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck. - Sungyub Kim; Yongsu Baek; Sung Ju Hwang; Eunho Yang (CoRR, 2019)

Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. - Ingyo Chung; Saehoon Kim; Juho Lee 001; Kwang Joon Kim; Sung Ju Hwang; Eunho Yang (AAAI, 2020)

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 (ICLR, 2020)

Meta Dropout: Learning to Perturb Latent Features for Generalization. - Haebeom Lee; Taewook Nam; Eunho Yang; Sung Ju Hwang (ICLR, 2020)

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 (ICLR, 2020)

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. - Jaehong Yoon; Saehoon Kim; Eunho Yang; Sung Ju Hwang (ICLR, 2020)

Cost-Effective Interactive Attention Learning with Neural Attention Processes. - Jay Heo; Junhyeon Park; Hyewon Jeong; Kwang Joon Kim; Juho Lee 001; Eunho Yang; Sung Ju Hwang (ICML, 2020)

Time-Reversal Symmetric ODE Network. - In Huh; Eunho Yang; Sung Ju Hwang; Jinwoo Shin (NeurIPS, 2020)

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. - Jaehyung Kim 001; Youngbum Hur; Sejun Park; Eunho Yang; Sung Ju Hwang; Jinwoo Shin (NeurIPS, 2020)

Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. - Youngsung Kim; Jinwoo Shin; Eunho Yang; Sung Ju Hwang (NeurIPS, 2020)

Neural Complexity Measures. - Yoonho Lee 001; Juho Lee 001; Sung Ju Hwang; Eunho Yang; Seungjin Choi (NeurIPS, 2020)

Bootstrapping neural processes. - Juho Lee 001; Yoonho Lee 001; Jungtaek Kim 001; Eunho Yang; Sung Ju Hwang; Yee Whye Teh (NeurIPS, 2020)

Attribution Preservation in Network Compression for Reliable Network Interpretation. - Geondo Park; June Yong Yang; Sung Ju Hwang; Eunho Yang (NeurIPS, 2020)

Federated Continual Learning with Adaptive Parameter Communication. - Jaehong Yoon; Wonyong Jeong; Giwoong Lee; Eunho Yang; Sung Ju Hwang (CoRR, 2020)

Federated Semi-Supervised Learning with Inter-Client Consistency. - Wonyong Jeong; Jaehong Yoon; Eunho Yang; Sung Ju Hwang (CoRR, 2020)

Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning. - Minyoung Song; Jaehong Yoon; Eunho Yang; Sung Ju Hwang (CoRR, 2020)

Stochastic Subset Selection. - Tuan A. Nguyen; Andreis Bruno; Juho Lee 001; Eunho Yang; Sung Ju Hwang (CoRR, 2020)

A General Family of Stochastic Proximal Gradient Methods for Deep Learning. - Jihun Yun; Aurélie C. Lozano; Eunho Yang (CoRR, 2020)

Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. - Tuan A. Nguyen; Hyewon Jeong; Eunho Yang; Sung Ju Hwang (AAAI, 2021)

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 (AAAI, 2021)

Learning How Long to Wait: Adaptively-Constrained Monotonic Multihead Attention for Streaming ASR. - Jaeyun Song; Hajin Shim; Eunho Yang (ASRU, 2021)

Distilling Linguistic Context for Language Model Compression. - Geondo Park; Gyeongman Kim; Eunho Yang (EMNLP (1), 2021)

Mutually-Constrained Monotonic Multihead Attention for Online ASR. - Jaeyun Song; Hajin Shim; Eunho Yang (ICASSP, 2021)

Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. - Jung Hyun Lee; Jihun Yun; Sung Ju Hwang; Eunho Yang (ICCV, 2021)

Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. - Wonyong Jeong; Jaehong Yoon; Eunho Yang; Sung Ju Hwang (ICLR, 2021)

Learning to Sample with Local and Global Contexts in Experience Replay Buffer. - Youngmin Oh; Kimin Lee; Jinwoo Shin; Eunho Yang; Sung Ju Hwang (ICLR, 2021)

FedMix: Approximation of Mixup under Mean Augmented Federated Learning. - Tehrim Yoon; Sumin Shin; Sung Ju Hwang; Eunho Yang (ICLR, 2021)

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. - Dongchan Min; Dong Bok Lee; Eunho Yang; Sung Ju Hwang (ICML, 2021)

Federated Continual Learning with Weighted Inter-client Transfer. - Jaehong Yoon; Wonyong Jeong; Giwoong Lee; Eunho Yang; Sung Ju Hwang (ICML, 2021)

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 (IJCAI, 2021)

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 (Interspeech, 2021)

Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning. - Youngkyu Hong; Eunho Yang (NeurIPS, 2021)

Adaptive Proximal Gradient Methods for Structured Neural Networks. - Jihun Yun; Aurélie C. Lozano; Eunho Yang (NeurIPS, 2021)

Compressed Sensing via Measurement-Conditional Generative Models. - Kyungsu Kim 002; Jung Hyun Lee; Eunho Yang (IEEE Access, 2021)

Model-Augmented Q-learning. - Youngmin Oh; Jinwoo Shin; Eunho Yang; Sung Ju Hwang (CoRR, 2021)

Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. - Joonhyung Park; Hajin Shim; Eunho Yang (AAAI, 2022)

Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. - Joonhyung Park; June Yong Yang; Jinwoo Shin; Sung Ju Hwang; Eunho Yang (AAAI, 2022)

AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning. - Jihun Yun; Aurélie C. Lozano; Eunho Yang (AISTATS, 2022)

Online Hyperparameter Meta-Learning with Hypergradient Distillation. - Haebeom Lee; Hayeon Lee; Jaewoong Shin; Eunho Yang; Timothy M. Hospedales; Sung Ju Hwang (ICLR, 2022)

Model-augmented Prioritized Experience Replay. - Youngmin Oh; Jinwoo Shin; Eunho Yang; Sung Ju Hwang (ICLR, 2022)

GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification. - Joonhyung Park; Jaeyun Song; Eunho Yang (ICLR, 2022)

Online Coreset Selection for Rehearsal-based Continual Learning. - Jaehong Yoon; Divyam Madaan; Eunho Yang; Sung Ju Hwang (ICLR, 2022)

Set Based Stochastic Subsampling. - Bruno Andreis; Seanie Lee; Tuan A. Nguyen; Juho Lee 001; Eunho Yang; Sung Ju Hwang (ICML, 2022)

TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification. - Jaeyun Song; Joonhyung Park; Eunho Yang (ICML, 2022)

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 (NAACL-HLT, 2022)

A Simple Framework for Robust Out-of-Distribution Detection. - Youngbum Hur; Eunho Yang; Sung Ju Hwang (IEEE Access, 2022)

Towards the Practical Utility of Federated Learning in the Medical Domain. - Hyeonji Hwang; Seongjun Yang; Daeyoung Kim; Radhika Dua; Jong-Yeup Kim; Eunho Yang; Edward Choi (CHIL, 2023)

BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. - Jongin Lim 002; Youngdong Kim; Byungjai Kim; Chanho Ahn; Jinwoo Shin; Eunho Yang; Seungju Han 001 (CVPR, 2023)

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 (CVPR, 2023)

Weavspeech: Data Augmentation Strategy For Automatic Speech Recognition Via Semantic-Aware Weaving. - Kyusung Seo; Joonhyung Park; Jaeyun Song; Eunho Yang (ICASSP, 2023)

PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label. - Joonhyung Park; Hyunjin Seo; Eunho Yang (ICCV, 2023)

Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance. - Yoonjeon Kim; Hyunsu Kim; Junho Kim; Yunjey Choi; Eunho Yang (ICLR, 2023)

Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. - Sungyub Kim; Sihwan Park 001; Kyung-Su Kim 002; Eunho Yang (ICLR, 2023)

Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. - Yeonsung Jung; Hajin Shim; June Yong Yang; Eunho Yang (ICML, 2023)

RGE: A Repulsive Graph Rectification for Node Classification via Influence. - Jaeyun Song; Sungyub Kim; Eunho Yang (ICML, 2023)

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 (INTERSPEECH, 2023)

SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization. - Changhun Kim; Joonhyung Park; Hajin Shim; Eunho Yang (INTERSPEECH, 2023)

GEX: A flexible method for approximating influence via Geometric Ensemble. - Sungyub Kim; Kyungsu Kim; Eunho Yang (NeurIPS, 2023)

Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds. - Jihun Yun; Eunho Yang (NeurIPS, 2023)

Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization. - Youngsung Kim; Yoonsuk Hyun; Jae-Joon Han; Eunho Yang; Sung Ju Hwang; Jinwoo Shin (IEEE Access, 2023)

BackTrack: Robust template update via Backward Tracking of candidate template. - Dongwook Lee; Wonjun Choi; Seohyung Lee; ByungIn Yoo; Eunho Yang; Seongju Hwang (CoRR, 2023)

Face-StyleSpeech: Improved Face-to-Voice latent mapping for Natural Zero-shot Speech Synthesis from a Face Image. - Minki Kang; Wooseok Han; Eunho Yang (CoRR, 2023)

Learning Polymorphic Neural ODEs With Time-Evolving Mixture. - Tehrim Yoon; Sumin Shin; Eunho Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images. - JungEun Kim; Hangyul Yoon; Geondo Park; Kyungsu Kim; Eunho Yang (CVPR, 2024)

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 (ECCV (81), 2024)

CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation. - Hajin Shim; Changhun Kim; Eunho Yang (ECCV (31), 2024)

PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning. - Gyeongman Kim; Doohyuk Jang; Eunho Yang (EMNLP (Findings), 2024)

TEDDY: Trimming Edges with Degree-based Discrimination Strategy. - Hyunjin Seo; Jihun Yun; Eunho Yang (ICLR, 2024)

Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication. - June Yong Yang; Geondo Park; Joowon Kim; Hyeongwon Jang 001; Eunho Yang (ICLR, 2024)

PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. - Yeonsung Jung; Heecheol Yun; Joonhyung Park; Jin-Hwa Kim; Eunho Yang (ICML, 2024)

A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. - Yeonsung Jung; Jaeyun Song; June Yong Yang; Jin-Hwa Kim; Sungyub Kim; Eunho Yang (NeurIPS, 2024)

Time Series Classification With Large Language Models via Linguistic Scaffolding. - Hyeongwon Jang 001; June Yong Yang; Jaeryong Hwang; Eunho Yang (IEEE Access, 2024)

SeamsTalk: Seamless Talking Face Generation via Flow-Guided Inpainting. - Yeon-Ho Jeong; Gyeongman Kim; Doohyuk Jang; Jaeryong Hwang; Eunho Yang (IEEE Access, 2024)

No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization. - June Yong Yang; Byeongwook Kim; Jeongin Bae; Beomseok Kwon; Gunho Park; Eunho Yang; Se Jung Kwon; Dongsoo Lee (CoRR, 2024)

Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models. - Hyunjin Seo; Taewon Kim; June Yong Yang; Eunho Yang (CoRR, 2024)

AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler. - Changhun Kim; Taewon Kim; Seungyeon Woo; June Yong Yang; Eunho Yang (CoRR, 2024)

Augmentation-Driven Metric 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 (CoRR, 2024)

REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring. - Taewon Kim; Hyunjin Seo; Sungsoo Ahn; Eunho Yang (CoRR, 2024)

Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain. - Hangyul Yoon; Doohyuk Jang; JungEun Kim; Eunho Yang (CoRR, 2024)

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy. - Hyunjin Seo; Kyusung Seo; Joonhyung Park; Eunho Yang (AAAI, 2025)

Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy. - Joonhyun Jeong; Seyun Bae; Yeonsung Jung; Jaeryong Hwang; Eunho Yang (CVPR, 2025)

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 (CVPR, 2025)

Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting. - Wooseok Han; Minki Kang; Changhun Kim; Eunho Yang (ICASSP, 2025)

Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping. - Minki Kang; Wooseok Han; Eunho Yang (ICASSP, 2025)

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding. - Doohyuk Jang; Sihwan Park 001; June Yong Yang; Yeonsung Jung; Jihun Yun; Souvik Kundu 009; Sungyub Kim; Eunho Yang (ICLR, 2025)

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 001; Sungjoo Suh; Eunho Yang (ICLR, 2025)

REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring. - Taewon Kim; Hyunjin Seo; Sungsoo Ahn; Eunho Yang (ICLR, 2025)

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 (ICLR, 2025)

Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning. - Hyun Ryu; Gyeongman Kim; Hyemin S. Lee; Eunho Yang (ICLR, 2025)

A 321-Layer 2Tb 4b/cell 3D-NAND-Flash Memory with a 75MB/s Program Throughput. - Wanik Cho; Chanhui Jeong; Jongwoo Kim; Jongseok Jung; Keunseon Ahn; Jayoon Goo; Sangkyu Lee; Kayoung Cho; Tei Cho; Dauni Kim; Gwan Park; Yushin Ahn; et al. (ISSCC, 2025)

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 (NAACL (Long Papers), 2025)

Unraveling Zeroth-Order Optimization through the Lens of Low-Dimensional Structured Perturbations. - Sihwan Park 001; Jihun Yun; Sungyub Kim; Souvik Kundu 009; Eunho Yang (CoRR, 2025)

LANTERN++: Enhanced Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-regressive Models. - Sihwan Park 001; Doohyuk Jang; Sungyub Kim; Souvik Kundu 009; Eunho Yang (CoRR, 2025)

Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models. - Gyeongman Kim; Gyouk Chu; Eunho Yang (CoRR, 2025)

HybridLinker: Topology-Guided Posterior Sampling for Enhanced Diversity and Validity in 3D Molecular Linker Generation. - Mi-Nyeong Hwang; Ziseok Lee; Kwang-Soo Kim; Kyungsu Kim; Eunho Yang (CoRR, 2025)

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 (CoRR, 2025)

Reasoning Model is Stubborn: Diagnosing Instruction Overriding in Reasoning Models. - Doohyuk Jang; Yoonjeon Kim; Chanjae Park; Hyun Ryu; Eunho Yang (CoRR, 2025)

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation. - Hyeongwon Jang 001; Changhun Kim; Eunho Yang (CoRR, 2025)

DeltaSHAP: Explaining Prediction Evolutions in Online Patient Monitoring with Shapley Values. - Changhun Kim; Yechan Mun; Sangchul Hahn; Eunho Yang (CoRR, 2025)