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Yongsub Lim
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Journal Articles
- 2023
- [j8]Sungho Joo, Dongmin Lee, Minseop Kim, Taeho Lee
, Sanghyeok Choi, Seungju Kim, Jeyeol Lee, Joongjae Kim
, Yongsub Lim, Jeong-Hoon Lee
:
Multi-Agent Reinforcement Learning Based Actuator Control for EV HVAC Systems. IEEE Access 11: 7574-7587 (2023) - 2019
- [j7]Yongsub Lim, In-Jae Yu
, Dongmin Seo, U Kang, Lee Sael:
PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks. BMC Bioinform. 20-S(13): 381:1-381:12 (2019) - [j6]Minsoo Jung, Yongsub Lim, Sunmin Lee, U Kang:
FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams. Data Min. Knowl. Discov. 33(5): 1225-1253 (2019) - 2018
- [j5]Yongsub Lim, Minsoo Jung, U Kang:
Memory-Efficient and Accurate Sampling for Counting Local Triangles in Graph Streams: From Simple to Multigraphs. ACM Trans. Knowl. Discov. Data 12(1): 4:1-4:28 (2018) - 2017
- [j4]Yongsub Lim, U Kang:
Time-weighted counting for recently frequent pattern mining in data streams. Knowl. Inf. Syst. 53(2): 391-422 (2017) - [j3]Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, U Kang:
MTP: discovering high quality partitions in real world graphs. World Wide Web 20(3): 491-514 (2017) - 2014
- [j2]Yongsub Lim, Kyomin Jung, Pushmeet Kohli:
Efficient Energy Minimization for Enforcing Label Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1893-1899 (2014) - [j1]Yongsub Lim, U Kang, Christos Faloutsos
:
SlashBurn: Graph Compression and Mining beyond Caveman Communities. IEEE Trans. Knowl. Data Eng. 26(12): 3077-3089 (2014)
Conference and Workshop Papers
- 2020
- [c6]Ki Hyun Kim, Sangwoo Shim, Yongsub Lim, Jongseob Jeon, Jeongwoo Choi, Byungchan Kim, Andre S. Yoon:
RaPP: Novelty Detection with Reconstruction along Projection Pathway. ICLR 2020 - 2015
- [c5]Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, U Kang:
Discovering large subsets with high quality partitions in real world graphs. BigComp 2015: 186-193 - [c4]Yongsub Lim, U Kang:
MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams. KDD 2015: 685-694 - [c3]Adrian Kim, Kyomin Jung, Yongsub Lim, Daniel Tarlow, Pushmeet Kohli:
Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts. UAI 2015: 435-443 - 2014
- [c2]Yongsub Lim, Jihoon Choi, U Kang:
Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams. CIKM 2014: 1109-1118 - 2010
- [c1]Yongsub Lim, Kyomin Jung, Pushmeet Kohli:
Energy Minimization under Constraints on Label Counts. ECCV (2) 2010: 535-551
Informal and Other Publications
- 2017
- [i4]Andre S. Yoon, Taehoon Lee, Yongsub Lim, Deokwoo Jung, Philgyun Kang, Dongwon Kim, Keuntae Park, Yongjin Choi:
Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction. CoRR abs/1709.00845 (2017) - 2016
- [i3]Minsoo Jung, Sunmin Lee, Yongsub Lim, U Kang:
FURL: Fixed-memory and Uncertainty Reducing Local Triangle Counting for Graph Streams. CoRR abs/1611.06615 (2016) - 2013
- [i2]Yongsub Lim, Kyomin Jung, Pushmeet Kohli:
Multi-dimensional Parametric Mincuts for Constrained MAP Inference. CoRR abs/1307.7793 (2013) - [i1]Yongsub Lim, Kyomin Jung, Pushmeet Kohli:
Efficient Energy Minimization for Enforcing Statistics. CoRR abs/1307.7800 (2013)
Coauthor Index
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