| 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 | 145 | 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 | 100 | 2015 |
| 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 | 54 | 2017 |
| 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 | 44 | 2019 |
| Energy minimization under constraints on label counts Y Lim, K Jung, P Kohli European Conference on Computer Vision, 535-551, 2010 | 31 | 2010 |
| 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 | 23 | 2018 |
| Time-weighted counting for recently frequent pattern mining in data streams Y Lim, U Kang Knowledge and Information Systems 53 (2), 391-422, 2017 | 15 | 2017 |
| 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 | 13 | 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 | 12 | 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 | 12 | 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 | 11 | 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 | 10 | 2014 |
| 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), 1-12, 2019 | 8 | 2019 |
| Constrained discrete optimization via dual space search Y Lim, K Jung, P Kohli NIPS Workshop on Discrete Optimization on Machine Learning (DISCML), 2011 | 4 | 2011 |
| Multi-dimensional parametric mincuts for constrained map inference Y Lim, K Jung, P Kohli arXiv preprint arXiv:1307.7793, 2013 | 3 | 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 | 2 | 2013 |
| Anomaly detection AS Yoon, S Shim, LIM Yongsub, KH Kim, KIM Byungchan US Patent App. 16/725,691, 2020 | 1 | 2020 |
| Centrality Fairness: Measuring and Analyzing Structural Inequality of Online Social Network H Kwak, J Kim, Y Lim, SK Han, K Jung 網際網路技術學刊 18 (7), 1515-1524, 2017 | 1 | 2017 |
| Novelty detection using deep learning neural network AS Yoon, S Shim, LIM Yongsub, KH Kim, KIM Byungchan, J Choi, J Jeon US Patent App. 17/653,335, 2022 | | 2022 |
| 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 | | 2022 |
