Sung Ju Hwang

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Jaehong YoonPostdoc, UNC Chapel HillVerified email at cs.unc.edu
Juho LeeAssociate professor, KAISTVerified email at kaist.ac.kr
Saehoon KimAI Researcher, Kakao BrainVerified email at kakaobrain.com
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Leonid SigalProfessor, University of British ColumbiaVerified email at cs.ubc.ca
ChangYong SonPrincipal Researcher, Samsung Advanced Institute of TechnologyVerified email at samsung.com
Changkyu ChoiExecutive Vice President, Samsung Advanced Institute of TechnologyVerified email at samsung.com
Yanbin LiuAuckland University of TechnologyVerified email at aut.ac.nz
Yi YangZhejiang UniversityVerified email at zju.edu.cn
Alina KuznetsovaVerified email at google.com
Bodo RosenhahnL3S Research Center / Leibniz Universität HannoverVerified email at tnt.uni-hannover.de
Gunhee KimProfessor, Seoul National UniversityVerified email at snu.ac.kr
Wonjoon GooUniversity of Texas at AustinVerified email at cs.utexas.edu
Joonyoung YiHyperconnect Machine Learning EngineerVerified email at kaist.ac.kr
Yookoon ParkColumbia UniversityVerified email at columbia.edu
Ashish KapoorCEO and Chief Scientist, Scaled FoundationsVerified email at scaledfoundations.ai
Yanwei FuFudan UniversityVerified email at fudan.edu.cn
Jonghyun ChoiAssociate Professor, Seoul National UniversityVerified email at snu.ac.kr
Xiangyang XueProfessor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu

Sung Ju Hwang

KAIST, DeepAuto

Verified email at kaist.ac.kr - Homepage

Machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Lifelong learning with dynamically expandable networks J Yoon, E Yang, J Lee, SJ Hwang arXiv preprint arXiv:1708.01547, 2017	1327	2017
Learning to propagate labels: Transductive propagation network for few-shot learning Y Liu, J Lee, M Park, S Kim, E Yang, SJ Hwang, Y Yang arXiv preprint arXiv:1805.10002, 2018	910	2018
Learning to quantize deep networks by optimizing quantization intervals with task loss S Jung, C Son, S Lee, J Son, JJ Han, Y Kwak, SJ Hwang, C Choi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	472	2019
Mpvit: Multi-path vision transformer for dense prediction Y Lee, J Kim, J Willette, SJ Hwang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	286	2022
Adversarial self-supervised contrastive learning M Kim, J Tack, SJ Hwang Advances in neural information processing systems 33, 2983-2994, 2020	274	2020
Self-supervised label augmentation via input transformations H Lee, SJ Hwang, J Shin International conference on machine learning, 5714-5724, 2020	268*	2020
Federated semi-supervised learning with inter-client consistency & disjoint learning W Jeong, J Yoon, E Yang, SJ Hwang arXiv preprint arXiv:2006.12097, 2020	237	2020
Score-based generative modeling of graphs via the system of stochastic differential equations J Jo, S Lee, SJ Hwang International conference on machine learning, 10362-10383, 2022	200	2022
Federated continual learning with weighted inter-client transfer J Yoon, W Jeong, G Lee, E Yang, SJ Hwang International Conference on Machine Learning, 12073-12086, 2021	197	2021
Accurate learning of graph representations with graph multiset pooling J Baek, M Kang, SJ Hwang arXiv preprint arXiv:2102.11533, 2021	196	2021
Combined group and exclusive sparsity for deep neural networks J Yoon, SJ Hwang International Conference on Machine Learning, 3958-3966, 2017	192	2017
Distribution aligning refinery of pseudo-label for imbalanced semi-supervised learning J Kim, Y Hur, S Park, E Yang, SJ Hwang, J Shin Advances in neural information processing systems 33, 14567-14579, 2020	191	2020
Fedmix: Approximation of mixup under mean augmented federated learning T Yoon, S Shin, SJ Hwang, E Yang arXiv preprint arXiv:2107.00233, 2021	175	2021
Learning what and where to transfer Y Jang, H Lee, SJ Hwang, J Shin International conference on machine learning, 3030-3039, 2019	172	2019
Scalable and order-robust continual learning with additive parameter decomposition J Yoon, S Kim, E Yang, SJ Hwang arXiv preprint arXiv:1902.09432, 2019	168	2019
Sharing features between objects and their attributes SJ Hwang, F Sha, K Grauman CVPR 2011, 1761-1768, 2011	158	2011
Meta-stylespeech: Multi-speaker adaptive text-to-speech generation D Min, DB Lee, E Yang, SJ Hwang International Conference on Machine Learning, 7748-7759, 2021	152	2021
Learning the relative importance of objects from tagged images for retrieval and cross-modal search SJ Hwang, K Grauman International journal of computer vision 100, 134-153, 2012	151	2012
Adversarial purification with score-based generative models J Yoon, SJ Hwang, J Lee International Conference on Machine Learning, 12062-12072, 2021	141	2021
Online coreset selection for rehearsal-based continual learning J Yoon, D Madaan, E Yang, SJ Hwang arXiv preprint arXiv:2106.01085, 2021	139	2021

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