Eunho Yang

According to our database, Eunho Yang authored at least 110 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning.

Gyeongman Kim, Doohyuk Jang, Eunho Yang

CoRR, 2024

TEDDY: Trimming Edges with Degree-based Discrimination strategY.

Hyunjin Seo, Jihun Yun, Eunho Yang

CoRR, 2024

SeamsTalk: Seamless Talking Face Generation via Flow-Guided Inpainting.

Yeon-Ho Jeong, Gyeongman Kim, Doohyuk Jang, Jaeryong Hwang, Eunho Yang

IEEE Access, 2024

2023

Learning Polymorphic Neural ODEs With Time-Evolving Mixture.

Tehrim Yoon, Sumin Shin, Eunho Yang

IEEE Trans. Pattern Anal. Mach. Intell., 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

BackTrack: Robust template update via Backward Tracking of candidate template.

Dongwook Lee, Wonjun Choi, Seohyung Lee, ByungIn Yoo, Eunho Yang, Seongju Hwang

CoRR, 2023

SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization.

Changhun Kim, Joonhyung Park, Hajin Shim, Eunho Yang

CoRR, 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

CoRR, 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

Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds.

Jihun Yun, Eunho Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GEX: A flexible method for approximating influence via Geometric Ensemble.

Sungyub Kim, Kyungsu Kim, Eunho Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RGE: A Repulsive Graph Rectification for Node Classification via Influence.

Jaeyun Song, Sungyub Kim, Eunho Yang

Proceedings of the International Conference on Machine Learning, 2023

Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation.

Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang

Proceedings of the International Conference on Machine Learning, 2023

Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel.

Sungyub Kim, Sihwan Park, Kyung-Su Kim, Eunho Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance.

Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label.

Joonhyung Park, Hyunjin Seo, Eunho Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Weavspeech: Data Augmentation Strategy For Automatic Speech Recognition Via Semantic-Aware Weaving.

Kyusung Seo, Joonhyung Park, Jaeyun Song, Eunho Yang

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BiasAdv: Bias-Adversarial Augmentation for Model Debiasing.

Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

A Simple Framework for Robust Out-of-Distribution Detection.

Youngbum Hur, Eunho Yang, Sung Ju Hwang

IEEE Access, 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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification.

Jaeyun Song, Joonhyung Park, Eunho Yang

Proceedings of the International Conference on Machine Learning, 2022

Set Based Stochastic Subsampling.

Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang

Proceedings of the International Conference on Machine Learning, 2022

Online Coreset Selection for Rehearsal-based Continual Learning.

Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022

GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification.

Joonhyung Park, Jaeyun Song, Eunho Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Model-augmented Prioritized Experience Replay.

Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Online Hyperparameter Meta-Learning with Hypergradient Distillation.

Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022

AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning.

Jihun Yun, Aurélie C. Lozano, Eunho Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing.

Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation.

Joonhyung Park, Hajin Shim, Eunho Yang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Model-Augmented Q-learning.

Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

CoRR, 2021

Compressed Sensing via Measurement-Conditional Generative Models.

Kyungsu Kim, Jung Hyun Lee, Eunho Yang

IEEE Access, 2021

Adaptive Proximal Gradient Methods for Structured Neural Networks.

Jihun Yun, Aurélie C. Lozano, Eunho Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning.

Youngkyu Hong, Eunho Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Federated Continual Learning with Weighted Inter-client Transfer.

Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang

Proceedings of the 38th International Conference on Machine Learning, 2021

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation.

Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang

Proceedings of the 38th International Conference on Machine Learning, 2021

FedMix: Approximation of Mixup under Mean Augmented Federated Learning.

Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning to Sample with Local and Global Contexts in Experience Replay Buffer.

Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

Proceedings of the 9th International Conference on Learning Representations, 2021

Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning.

Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang

Proceedings of the 9th International Conference on Learning Representations, 2021

Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss.

Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mutually-Constrained Monotonic Multihead Attention for Online ASR.

Jaeyun Song, Hajin Shim, Eunho Yang

Proceedings of the IEEE International Conference on Acoustics, 2021

Distilling Linguistic Context for Language Model Compression.

Geondo Park, Gyeongman Kim, Eunho Yang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning How Long to Wait: Adaptively-Constrained Monotonic Multihead Attention for Streaming ASR.

Jaeyun Song, Hajin Shim, Eunho Yang

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning.

Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A General Family of Stochastic Proximal Gradient Methods for Deep Learning.

Jihun Yun, Aurélie C. Lozano, Eunho Yang

CoRR, 2020

Stochastic Subset Selection.

Tuan A. Nguyen, Andreis Bruno, Juho Lee, 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

Federated Semi-Supervised Learning with Inter-Client Consistency.

Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang

CoRR, 2020

Federated Continual Learning with Adaptive Parameter Communication.

Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang

CoRR, 2020

Attribution Preservation in Network Compression for Reliable Network Interpretation.

Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bootstrapping neural processes.

Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural Complexity Measures.

Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning.

Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning.

Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Time-Reversal Symmetric ODE Network.

In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Proceedings of the 37th International Conference on Machine Learning, 2020

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition.

Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang

Proceedings of the 8th International Conference on Learning Representations, 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

Proceedings of the 8th International Conference on Learning Representations, 2020

Meta Dropout: Learning to Perturb Latent Features for Generalization.

Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang

Proceedings of the 8th International Conference on Learning Representations, 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

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck.

Sungyub Kim, Yongsu Baek, Sung Ju Hwang, Eunho Yang

CoRR, 2019

Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks.

Joonyoung Yi, Juhyuk Lee, Sung Ju Hwang, Eunho Yang

CoRR, 2019

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks.

Donghyun Na, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang

CoRR, 2019

Meta Dropout: Learning to Perturb Features for Generalization.

Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang

CoRR, 2019

Stochastic Gradient Methods with Block Diagonal Matrix Adaptation.

Jihun Yun, Aurélie C. Lozano, Eunho Yang

CoRR, 2019

ORACLE: Order Robust Adaptive Continual LEarning.

Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang

CoRR, 2019

Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning.

Jihun Yun, Peng Zheng, Eunho Yang, Aurélie C. Lozano, Aleksandr Y. Aravkin

Proceedings of the 36th International Conference on Machine Learning, 2019

Spectral Approximate Inference.

Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin

Proceedings of the 36th International Conference on Machine Learning, 2019

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

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare.

Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang

CoRR, 2018

Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout.

Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang

CoRR, 2018

Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding.

Hajin Shim, Sung Ju Hwang, Eunho Yang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

DropMax: Adaptive Variational Softmax.

Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Uncertainty-Aware Attention for Reliable Interpretation and Prediction.

Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Asymmetric Multi-task Feature Learning.

Haebeom Lee, Eunho Yang, Sung Ju Hwang

Proceedings of the 35th International Conference on Machine Learning, 2018

Lifelong Learning with Dynamically Expandable Networks.

Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

DropMax: Adaptive Stochastic Softmax.

Haebeom Lee, Juho Lee, Eunho Yang, Sung Ju Hwang

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

Sequential Local Learning for Latent Graphical Models.

Sejun Park, Eunho Yang, Jinwoo Shin

CoRR, 2017

Learning Task Clusters via Sparsity Grouped Multitask Learning.

Meghana Kshirsagar, Eunho Yang, Aurélie C. Lozano

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity.

Eunho Yang, Aurélie C. Lozano

Proceedings of the 34th International Conference on Machine Learning, 2017

Ordinal Graphical Models: A Tale of Two Approaches.

Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar

Proceedings of the 34th International Conference on Machine Learning, 2017

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, Zhandong Liu

BMC Syst. Biol., 2016

Asymmetric Multi-task Learning based on Task Relatedness and Confidence.

Giwoong Lee, Eunho Yang, Sung Ju Hwang

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Graphical models via univariate exponential family distributions.

Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

J. Mach. Learn. Res., 2015

Closed-form Estimators for High-dimensional Generalized Linear Models.

Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso.

Eunho Yang, Aurélie C. Lozano

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Elementary Estimators for Graphical Models.

Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Elementary Estimators for Sparse Covariance Matrices and other Structured Moments.

Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar

Proceedings of the 31th International Conference on Machine Learning, 2014

Elementary Estimators for High-Dimensional Linear Regression.

Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar

Proceedings of the 31th International Conference on Machine Learning, 2014

Mixed Graphical Models via Exponential Families.

Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

On Poisson Graphical Models.

Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Conditional Random Fields via Univariate Exponential Families.

Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Dirty Statistical Models.

Eunho Yang, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

On Robust Estimation of High Dimensional Generalized Linear Models.

Eunho Yang, Ambuj Tewari, Pradeep Ravikumar

Proceedings of the IJCAI 2013, 2013

2012

Perturbation based Large Margin Approach for Ranking.

Eunho Yang, Ambuj Tewari, Pradeep Ravikumar

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Graphical Models via Generalized Linear Models.

Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

On NDCG Consistency of Listwise Ranking Methods.

Pradeep Ravikumar, Ambuj Tewari, Eunho Yang

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

On the Use of Variational Inference for Learning Discrete Graphical Model.

Eunho Yang, Pradeep Ravikumar

Proceedings of the 28th International Conference on Machine Learning, 2011

2009

Tele-conference using advanced tool on future IP.

Sunglim Lee, Koji Okamura, Eunho Yang

Proceedings of the 2009 International Conference on Information Networking, 2009

Selfish retransmission protocol in an IR-UWB system.

Jimyung Kang, Eunho Yang, Youngjin Park, Soonwoo Lee, Yonghwa Kim, Kwanho Kim

Proceedings of the 2009 International Conference on Information Networking, 2009

2008

On selfish behavior using asymmetric carrier sensing in IEEE 802.11 wireless networks.

Eunho Yang, Jaehyuk Choi, Sunglim Lee

Proceedings of the LCN 2008, 2008

The Bandwidth Feasibility Test Method for Ubiquitous Teleconference on Future Internet.

Sunglim Lee, Koji Okamura, Eunho Yang

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2008

2006

EIMD: A New Congestion Control for Fast Long-Distance Networks.

Eunho Yang, Seong-il Hahm, Seongho Cho, Chong-kwon Kim, Pillwoo Lee

Proceedings of the Information Networking, 2006