Yongsub Lim
Yongsub Lim
Verified email at makinarocks.ai
Cited by
Cited by
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
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
Energy minimization under constraints on label counts
Y Lim, K Jung, P Kohli
European Conference on Computer Vision, 535-551, 2010
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
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
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
Time-weighted counting for recently frequent pattern mining in data streams
Y Lim, U Kang
Knowledge and Information Systems 53 (2), 391-422, 2017
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
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 (5), 1225-1253, 2019
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
MTP: discovering high quality partitions in real world graphs
Y Lim, WJ Lee, HJ Choi, U Kang
World Wide Web 20 (3), 491-514, 2017
Constrained discrete optimization via dual space search
Y Lim, K Jung, P Kohli
NIPS Workshop on Discrete Optimization on Machine Learning (DISCML), 2011
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
Multi-dimensional parametric mincuts for constrained map inference
Y Lim, K Jung, P Kohli
arXiv preprint arXiv:1307.7793, 2013
Decentralized Control for Intelligent Robot System to Avoid Moving Obstacles
Y Lim, K Jung
2013 4th International Conference on Intelligent Systems, Modelling and …, 2013
PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks
Y Lim, I Yu, D Seo, U Kang, L Sael
BMC bioinformatics 20 (13), 381, 2019
Centrality Fairness: Measuring and Analyzing Structural Inequality of Online Social Network
H Kwak, J Kim, Y Lim, SK Han, K Jung
Journal of Internet Technology 18 (7), 1515-1524, 2017
Anomaly detection
AS Yoon, S Shim, LIM Yongsub, KH Kim, KIM Byungchan
US Patent App. 16/725,691, 2020
Anomaly detection
AS Yoon, LIM Yongsub, S Shim
US Patent App. 16/133,467, 2020
Hierarchical ordering with partial pairwise hierarchical relationships on the macaque brain data sets
W Lim, J Lee, Y Lim, DH Bae, H Park, DS Kim, K Jung
PloS one 12 (5), e0177373, 2017
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