Yongsub Lim

According to our database, Yongsub Lim authored at least 18 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multi-Agent Reinforcement Learning Based Actuator Control for EV HVAC Systems.

Sungho Joo, Dongmin Lee, Minseop Kim, Taeho Lee, Sanghyeok Choi, Seungju Kim, Jeyeol Lee, Joongjae Kim, Yongsub Lim, Jeong-Hoon Lee

IEEE Access, 2023

2020

RaPP: Novelty Detection with Reconstruction along Projection Pathway.

Ki Hyun Kim, Sangwoo Shim, Yongsub Lim, Jongseob Jeon, Jeongwoo Choi, Byungchan Kim, Andre S. Yoon

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams.

Minsoo Jung, Yongsub Lim, Sunmin Lee, U Kang

Data Min. Knowl. Discov., 2019

PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks.

Yongsub Lim, In-Jae Yu, Dongmin Seo, U Kang, Lee Sael

BMC Bioinform., 2019

2018

Memory-Efficient and Accurate Sampling for Counting Local Triangles in Graph Streams: From Simple to Multigraphs.

Yongsub Lim, Minsoo Jung, U Kang

ACM Trans. Knowl. Discov. Data, 2018

2017

MTP: discovering high quality partitions in real world graphs.

Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, U Kang

World Wide Web, 2017

Time-weighted counting for recently frequent pattern mining in data streams.

Yongsub Lim, U Kang

Knowl. Inf. Syst., 2017

Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction.

Andre S. Yoon, Taehoon Lee, Yongsub Lim, Deokwoo Jung, Philgyun Kang, Dongwon Kim, Keuntae Park, Yongjin Choi

CoRR, 2017

2016

FURL: Fixed-memory and Uncertainty Reducing Local Triangle Counting for Graph Streams.

Minsoo Jung, Sunmin Lee, Yongsub Lim, U Kang

CoRR, 2016

2015

Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts.

Adrian Kim, Kyomin Jung, Yongsub Lim, Daniel Tarlow, Pushmeet Kohli

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams.

Yongsub Lim, U Kang

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Discovering large subsets with high quality partitions in real world graphs.

Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, U Kang

Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

2014

SlashBurn: Graph Compression and Mining beyond Caveman Communities.

Yongsub Lim, U Kang, Christos Faloutsos

IEEE Trans. Knowl. Data Eng., 2014

Efficient Energy Minimization for Enforcing Label Statistics.

Yongsub Lim, Kyomin Jung, Pushmeet Kohli

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams.

Yongsub Lim, Jihoon Choi, U Kang

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Efficient Energy Minimization for Enforcing Statistics.

Yongsub Lim, Kyomin Jung, Pushmeet Kohli

CoRR, 2013

Multi-dimensional Parametric Mincuts for Constrained MAP Inference.

Yongsub Lim, Kyomin Jung, Pushmeet Kohli

CoRR, 2013

2010

Energy Minimization under Constraints on Label Counts.

Yongsub Lim, Kyomin Jung, Pushmeet Kohli

Proceedings of the Computer Vision, 2010