Yongsub Lim
Yongsub Lim
MakinaRocks
Verified email at makinarocks.ai
TitleCited byYear
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
842014
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
702015
Energy minimization under constraints on label counts
Y Lim, K Jung, P Kohli
European Conference on Computer Vision, 535-551, 2010
302010
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
102014
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
92017
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
82014
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
62015
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), 4, 2018
52018
Time-weighted counting for recently frequent pattern mining in data streams
Y Lim, U Kang
Knowledge and Information Systems 53 (2), 391-422, 2017
52017
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
52017
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, K Jung, P Kohli
NIPS Workshop on Discrete Optimization in Machine Learning (DISCML), 2011
42011
Multi-dimensional parametric mincuts for constrained map inference
Y Lim, K Jung, P Kohli
arXiv preprint arXiv:1307.7793, 2013
32013
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
12017
Decentralized Control for Intelligent Robot System to Avoid Moving Obstacles
Y Lim, K Jung
2013 4th International Conference on Intelligent Systems, Modelling and …, 2013
12013
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
2019
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
2019
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M Babaei, R Moeini, E Ehsanzadeh
Water Resources Management, 2019
2019
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
2017
Modeling Brain Hierarchical Structure using Graph-based Manifold Learning
W Lim, J Lee, Y Lim, K Jung, DS Kim
Society for Neuroscience Annual Meeting 2015, 2015
2015
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Articles 1–20