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Yongsub Lim
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Title
Cited by
Cited by
Year
Slashburn: Graph compression and mining beyond caveman communities
Y Lim, U Kang, C Faloutsos
IEEE Transactions on Knowledge and Data Engineering 26 (12), 3077-3089, 2014
1802014
Mascot: Memory-efficient and accurate sampling for counting local triangles in graph streams
Y Lim, U Kang
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
1172015
Rapp: Novelty detection with reconstruction along projection pathway
KH Kim, S Shim, Y Lim, J Jeon, J Choi, B Kim, AS Yoon
International Conference on Learning Representations, 2019
912019
Semi-supervised learning with deep generative models for asset failure prediction
AS Yoon, T Lee, Y Lim, D Jung, P Kang, D Kim, K Park, Y Choi
arXiv preprint arXiv:1709.00845, 2017
812017
Anomaly detection
AS Yoon, LIM Yongsub, S Shim
US Patent 10,803,384, 2020
342020
Memory-efficient and accurate sampling for counting local triangles in graph streams: from simple to multigraphs
Y Lim, M Jung, U Kang
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (1), 1-28, 2018
342018
Energy minimization under constraints on label counts
Y Lim, K Jung, P Kohli
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
312010
Time-weighted counting for recently frequent pattern mining in data streams
Y Lim, U Kang
Knowledge and Information Systems 53, 391-422, 2017
192017
FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams
M Jung, Y Lim, S Lee, U Kang
Data Mining and Knowledge Discovery 33, 1225-1253, 2019
162019
Discovering large subsets with high quality partitions in real world graphs
Y Lim, WJ Lee, HJ Choi, U Kang
2015 International Conference on Big Data and Smart Computing (BIGCOMP), 186-193, 2015
162015
Efficient energy minimization for enforcing label statistics
Y Lim, K Jung, P Kohli
IEEE transactions on pattern analysis and machine intelligence 36 (9), 1893-1899, 2014
142014
PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks
Y Lim, I Yu, D Seo, U Kang, L Sael
BMC bioinformatics 20, 1-12, 2019
122019
MTP: discovering high quality partitions in real world graphs
Y Lim, WJ Lee, HJ Choi, U Kang
World Wide Web 20, 491-514, 2017
122017
Fast, accurate, and space-efficient tracking of time-weighted frequent items from data streams
Y Lim, J Choi, U Kang
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
112014
Anomaly detection
AS Yoon, S Shim, LIM Yongsub, KH Kim, KIM Byungchan
US Patent 11,537,900, 2022
72022
Semi-supervised learning with deep generative models for asset failure prediction. arXiv
AS Yoon, T Lee, Y Lim, D Jung, P Kang, D Kim, Y Choi
arXiv preprint arXiv:1709.00845, 2017
62017
Novelty detection using deep learning neural network
AS Yoon, S Shim, LIM Yongsub, KH Kim, KIM Byungchan, J Choi, J Jeon
US Patent 11,301,756, 2022
52022
FURL: fixed-memory and uncertainty reducing local triangle counting for graph streams
M Jung, S Lee, Y Lim, U Kang
arXiv preprint arXiv:1611.06615, 2016
52016
Constrained discrete optimization via dual space search
Y Lim, J Kyomin, P Kohli
NIPS Workshop on Discrete Optimization on Machine Learning, 2011
42011
Multi-dimensional parametric mincuts for constrained map inference
Y Lim, K Jung, P Kohli
arXiv preprint arXiv:1307.7793, 2013
32013
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Articles 1–20