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2020 – today
- 2022
[j4]Youngbum Hur
, Eunho Yang, Sung Ju Hwang:
A Simple Framework for Robust Out-of-Distribution Detection. IEEE Access 10: 23086-23097 (2022)- [c68]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. AAAI 2022: 7957-7965 - [c67]Joonhyung Park, Hajin Shim, Eunho Yang:
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. AAAI 2022: 7966-7974 - [c66]Jihun Yun, Aurélie C. Lozano, Eunho Yang:
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning. AISTATS 2022: 2574-2606 - [c65]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR 2022 - [c64]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-augmented Prioritized Experience Replay. ICLR 2022 - [c63]Joonhyung Park, Jaeyun Song, Eunho Yang:
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification. ICLR 2022 - [c62]Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang:
Online Coreset Selection for Rehearsal-based Continual Learning. ICLR 2022 - [c61]Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang:
Set Based Stochastic Subsampling. ICML 2022: 619-638 - [c60]Jaeyun Song, Joonhyung Park, Eunho Yang:
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification. ICML 2022: 20369-20383 - [c59]Juhyuk Lee, Min-Joong Lee, June Yong Yang, Eunho Yang:
Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods. NAACL-HLT 2022: 3849-3858 - [i46]Jaeyun Song, Joonhyung Park, Eunho Yang:
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification. CoRR abs/2206.12917 (2022) - [i45]Seongjun Yang, Hyeonji Hwang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi:
Towards the Practical Utility of Federated Learning in the Medical Domain. CoRR abs/2207.03075 (2022) - [i44]Sungyub Kim, Sihwan Park, Kyungsu Kim, Eunho Yang:
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. CoRR abs/2209.15208 (2022) - 2021
- [j3]Kyungsu Kim, Jung Hyun Lee, Eunho Yang:
Compressed Sensing via Measurement-Conditional Generative Models. IEEE Access 9: 155335-155352 (2021) - [c58]Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
GTA: Graph Truncated Attention for Retrosynthesis. AAAI 2021: 531-539 - [c57]Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. AAAI 2021: 9081-9091 - [c56]Jaeyun Song, Hajin Shim, Eunho Yang:
Learning How Long to Wait: Adaptively-Constrained Monotonic Multihead Attention for Streaming ASR. ASRU 2021: 441-448 - [c55]Geondo Park, Gyeongman Kim, Eunho Yang:
Distilling Linguistic Context for Language Model Compression. EMNLP (1) 2021: 364-378 - [c54]Jaeyun Song, Hajin Shim, Eunho Yang:
Mutually-Constrained Monotonic Multihead Attention for Online ASR. ICASSP 2021: 6508-6512 - [c53]Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang:
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. ICCV 2021: 5350-5359 - [c52]Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. ICLR 2021 - [c51]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. ICLR 2021 - [c50]Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang:
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. ICLR 2021 - [c49]Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang:
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. ICML 2021: 7748-7759 - [c48]Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Weighted Inter-client Transfer. ICML 2021: 12073-12086 - [c47]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. IJCAI 2021: 2673-2679 - [c46]Ho-Gyeong Kim, Min-Joong Lee, Hoshik Lee, Tae Gyoon Kang, Jihyun Lee, Eunho Yang, Sung Ju Hwang:
Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models. Interspeech 2021: 2531-2535 - [c45]Jihun Yun, Aurélie C. Lozano, Eunho Yang:
Adaptive Proximal Gradient Methods for Structured Neural Networks. NeurIPS 2021: 24365-24378 - [c44]Youngkyu Hong, Eunho Yang:
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning. NeurIPS 2021: 26449-26461 - [i43]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-Augmented Q-learning. CoRR abs/2102.03866 (2021) - [i42]Jaeyun Song, Hajin Shim, Eunho Yang:
Mutually-Constrained Monotonic Multihead Attention for Online ASR. CoRR abs/2103.14302 (2021) - [i41]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. CoRR abs/2105.00795 (2021) - [i40]Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang:
Online Coreset Selection for Rehearsal-based Continual Learning. CoRR abs/2106.01085 (2021) - [i39]Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang:
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. CoRR abs/2106.03153 (2021) - [i38]Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang:
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. CoRR abs/2107.00233 (2021) - [i37]Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang:
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. CoRR abs/2109.02100 (2021) - [i36]Geondo Park, Gyeongman Kim, Eunho Yang:
Distilling Linguistic Context for Language Model Compression. CoRR abs/2109.08359 (2021) - [i35]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR abs/2110.02508 (2021) - [i34]Joonhyung Park, Hajin Shim, Eunho Yang:
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. CoRR abs/2111.05639 (2021) - [i33]Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang:
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. CoRR abs/2112.01021 (2021) - [i32]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. CoRR abs/2112.08796 (2021) - 2020
- [c43]Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. AAAI 2020: 3649-3657 - [c42]Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR 2020 - [c41]Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang:
Meta Dropout: Learning to Perturb Latent Features for Generalization. ICLR 2020 - [c40]Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks. ICLR 2020 - [c39]Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR 2020 - [c38]Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang:
Cost-Effective Interactive Attention Learning with Neural Attention Processes. ICML 2020: 4228-4238 - [c37]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. NeurIPS 2020 - [c36]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. NeurIPS 2020 - [c35]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. NeurIPS 2020 - [c34]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. NeurIPS 2020 - [c33]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping neural processes. NeurIPS 2020 - [c32]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. NeurIPS 2020 - [i31]Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Adaptive Parameter Communication. CoRR abs/2003.03196 (2020) - [i30]Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang:
Cost-effective Interactive Attention Learning with Neural Attention Processes. CoRR abs/2006.05419 (2020) - [i29]Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Federated Semi-Supervised Learning with Inter-Client Consistency. CoRR abs/2006.12097 (2020) - [i28]Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning. CoRR abs/2006.12139 (2020) - [i27]Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. CoRR abs/2006.12777 (2020) - [i26]Tuan A. Nguyen, Andreis Bruno, Juho Lee, Eunho Yang, Sung Ju Hwang:
Stochastic Subset Selection. CoRR abs/2006.14222 (2020) - [i25]Kyung-Su Kim, Jung Hyun Lee, Eunho Yang:
Compressed Sensing via Measurement-Conditional Generative Models. CoRR abs/2007.00873 (2020) - [i24]Kyung-Su Kim, Aurélie C. Lozano, Eunho Yang:
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks. CoRR abs/2007.00884 (2020) - [i23]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR abs/2007.07358 (2020) - [i22]Jihun Yun, Aurélie C. Lozano, Eunho Yang:
A General Family of Stochastic Proximal Gradient Methods for Deep Learning. CoRR abs/2007.07484 (2020) - [i21]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. CoRR abs/2007.08844 (2020) - [i20]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. CoRR abs/2007.11362 (2020) - [i19]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. CoRR abs/2007.12020 (2020) - [i18]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. CoRR abs/2008.02953 (2020) - [i17]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping Neural Processes. CoRR abs/2008.02956 (2020) - [i16]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. CoRR abs/2010.15054 (2020)
2010 – 2019
- 2019
- [c31]Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang:
Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. ICLR (Poster) 2019 - [c30]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. ICML 2019: 5052-5061 - [c29]Jihun Yun, Peng Zheng, Eunho Yang, Aurélie C. Lozano, Aleksandr Y. Aravkin:
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning. ICML 2019: 7242-7251 - [i15]Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
ORACLE: Order Robust Adaptive Continual LEarning. CoRR abs/1902.09432 (2019) - [i14]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. CoRR abs/1905.05348 (2019) - [i13]Jihun Yun, Aurélie C. Lozano, Eunho Yang:
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation. CoRR abs/1905.10757 (2019) - [i12]Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang:
Meta Dropout: Learning to Perturb Features for Generalization. CoRR abs/1905.12914 (2019) - [i11]Donghyun Na, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR abs/1905.12917 (2019) - [i10]Joonyoung Yi, Juhyuk Lee, Sung Ju Hwang, Eunho Yang:
Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. CoRR abs/1906.00150 (2019) - [i9]Sungyub Kim, Yongsu Baek, Sung Ju Hwang, Eunho Yang:
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck. CoRR abs/1906.03118 (2019) - 2018
- [c28]Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. ICLR (Poster) 2018 - [c27]Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Deep Asymmetric Multi-task Feature Learning. ICML 2018: 2962-2970 - [c26]Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang:
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. NeurIPS 2018: 917-926 - [c25]Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
DropMax: Adaptive Variational Softmax. NeurIPS 2018: 927-937 - [c24]Hajin Shim, Sung Ju Hwang, Eunho Yang:
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding. NeurIPS 2018: 1375-1385 - [i8]Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang:
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. CoRR abs/1805.09653 (2018) - [i7]Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR abs/1805.10896 (2018) - [i6]Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang:
Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. CoRR abs/1806.01551 (2018) - 2017
- [c23]Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar:
Ordinal Graphical Models: A Tale of Two Approaches. ICML 2017: 3260-3269 - [c22]Eunho Yang, Aurélie C. Lozano:
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity. ICML 2017: 3911-3920 - [c21]Meghana Kshirsagar, Eunho Yang, Aurélie C. Lozano:
Learning Task Clusters via Sparsity Grouped Multitask Learning. ECML/PKDD (2) 2017: 673-689 - [i5]Sejun Park, Eunho Yang, Jinwoo Shin:
Sequential Local Learning for Latent Graphical Models. CoRR abs/1703.04082 (2017) - [i4]Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Deep Asymmetric Multi-task Feature Learning. CoRR abs/1708.00260 (2017) - [i3]Jeongtae Lee, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. CoRR abs/1708.01547 (2017) - [i2]Hajin Shim, Sung Ju Hwang, Eunho Yang:
Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification. CoRR abs/1709.05964 (2017) - [i1]Haebeom Lee, Juho Lee, Eunho Yang, Sung Ju Hwang:
DropMax: Adaptive Stochastic Softmax. CoRR abs/1712.07834 (2017) - 2016
- [j2]Ying-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, Matthew Anderson, Zhandong Liu:
XMRF: an R package to fit Markov Networks to high-throughput genetics data. BMC Syst. Biol. 10(S-3): 69 (2016) - [c20]Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Asymmetric Multi-task Learning based on Task Relatedness and Confidence. ICML 2016: 230-238 - 2015
- [j1]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Graphical models via univariate exponential family distributions. J. Mach. Learn. Res. 16: 3813-3847 (2015) - [c19]Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar:
Closed-form Estimators for High-dimensional Generalized Linear Models. NIPS 2015: 586-594 - [c18]Eunho Yang, Aurélie C. Lozano:
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso. NIPS 2015: 2602-2610 - 2014
- [c17]Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Mixed Graphical Models via Exponential Families. AISTATS 2014: 1042-1050 - [c16]Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar:
Elementary Estimators for High-Dimensional Linear Regression. ICML 2014: 388-396 - [c15]Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar:
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments. ICML 2014: 397-405 - [c14]Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar:
Elementary Estimators for Graphical Models. NIPS 2014: 2159-2167 - 2013
- [c13]Eunho Yang, Ambuj Tewari, Pradeep Ravikumar:
On Robust Estimation of High Dimensional Generalized Linear Models. IJCAI 2013: 1834-1840 - [c12]Eunho Yang, Pradeep Ravikumar:
Dirty Statistical Models. NIPS 2013: 611-619 - [c11]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Conditional Random Fields via Univariate Exponential Families. NIPS 2013: 683-691 - [c10]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
On Poisson Graphical Models. NIPS 2013: 1718-1726 - 2012
- [c9]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Graphical Models via Generalized Linear Models. NIPS 2012: 1367-1375 - [c8]Eunho Yang, Ambuj Tewari, Pradeep Ravikumar:
Perturbation based Large Margin Approach for Ranking. AISTATS 2012: 1358-1366 - 2011
- [c7]Eunho Yang, Pradeep Ravikumar:
On the Use of Variational Inference for Learning Discrete Graphical Model. ICML 2011: 1009-1016 - [c6]Pradeep Ravikumar, Ambuj Tewari, Eunho Yang:
On NDCG Consistency of Listwise Ranking Methods. AISTATS 2011: 618-626
2000 – 2009
- 2009
- [c5]Jimyung Kang, Eunho Yang, Youngjin Park, Soonwoo Lee, Yonghwa Kim, Kwanho Kim:
Selfish retransmission protocol in an IR-UWB system. ICOIN 2009: 1-5 - [c4]Sunglim Lee, Koji Okamura, Eunho Yang:
Tele-conference using advanced tool on future IP. ICOIN 2009: 1-3 - 2008
- [c3]Sunglim Lee, Koji Okamura, Eunho Yang:
The Bandwidth Feasibility Test Method for Ubiquitous Teleconference on Future Internet. ISPA 2008: 790-794 - [c2]Eunho Yang, Jaehyuk Choi, Sunglim Lee:
On selfish behavior using asymmetric carrier sensing in IEEE 802.11 wireless networks. LCN 2008: 527-529 - 2006
- [c1]Eunho Yang, Seong-il Hahm, Seongho Cho, Chong-kwon Kim, Pillwoo Lee:
EIMD: A New Congestion Control for Fast Long-Distance Networks. ICOIN 2006: 379-388
Coauthor Index
[j4] [c68] [c65] [c64] [c62] [c61] [c58] [c57] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [i43] [i41] [i40] [i39] [i38] [i37] [i35] [i32] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [i31] [i30] [i29] [i28] [i27] [i26] [i23] [i21] [i20] [i19] [i18] [i17] [i16] [c31] [i15] [i12] [i11] [i10] [i9] [c28] [c27] [c26] [c25] [c24] [i8] [i7] [i6] [i4] [i3] [i2] [i1] [c20]