Taesup Moon (문태섭)
Taesup Moon (문태섭)
Associate Professor, Sungkyunkwan University (SKKU)
Verified email at skku.edu - Homepage
Cited by
Cited by
Human detection and activity classification based on micro-Doppler signatures using deep convolutional neural networks
Y Kim, T Moon
IEEE geoscience and remote sensing letters 13 (1), 8-12, 2015
Learning to model relatedness for news recommendation
Y Lv, T Moon, P Kolari, Z Zheng, X Wang, Y Chang
Proceedings of the 20th international conference on World wide web, 57-66, 2011
Rnndrop: A novel dropout for rnns in asr
T Moon, H Choi, H Lee, I Song
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015
Micro-Doppler based classification of human aquatic activities via transfer learning of convolutional neural networks
J Park, RJ Javier, T Moon, Y Kim
Sensors 16 (12), 1990, 2016
An unbiased offline evaluation of contextual bandit algorithms with generalized linear models
L Li, W Chu, J Langford, T Moon, X Wang
Proceedings of the Workshop on On-line Trading of Exploration and …, 2012
IntervalRank: isotonic regression with listwise and pairwise constraints
T Moon, A Smola, Y Chang, Z Zheng
Proceedings of the third ACM international conference on Web search and data …, 2010
3d densely convolutional networks for volumetric segmentation
TD Bui, J Shin, T Moon
arXiv preprint arXiv:1709.03199, 2017
DUDE-Seq: Fast, flexible, and robust denoising for targeted amplicon sequencing
B Lee, T Moon, S Yoon, T Weissman
PloS one 12 (7), e0181463, 2017
Online learning for recency search ranking using real-time user feedback
T Moon, L Li, W Chu, C Liao, Z Zheng, Y Chang
Proceedings of the 19th ACM international conference on Information and …, 2010
Universal fir mmse filtering
T Moon, T Weissman
IEEE Transactions on Signal Processing 57 (3), 1068-1083, 2008
Fooling neural network interpretations via adversarial model manipulation
J Heo, S Joo, T Moon
Advances in Neural Information Processing Systems, 2925-2936, 2019
An online learning framework for refining recency search results with user click feedback
T Moon, W Chu, L Li, Z Zheng, Y Chang
ACM Transactions on Information Systems (TOIS) 30 (4), 1-28, 2012
Dynamic functional connectivity analysis reveals improved association between brain networks and eating behaviors compared to static analysis
B Park, T Moon, H Park
Behavioural Brain Research 337, 114-121, 2018
Discrete denoising with shifts
T Moon, T Weissman
IEEE transactions on information theory 55 (11), 5284-5301, 2009
Neural Universal Discrete Denoiser
T Moon, S Min, B Lee, S Yoon
Advances in Neural Information Processing Systems, 4772-4780, 2016
Subtask gated networks for non-intrusive load monitoring
C Shin, S Joo, J Yim, H Lee, T Moon, W Rhee
Proceedings of the AAAI Conference on Artificial Intelligence 33, 1150-1157, 2019
Uncertainty-based continual learning with adaptive regularization
H Ahn, S Cha, D Lee, T Moon
Advances in Neural Information Processing Systems, 4392-4402, 2019
Neural adaptive image denoiser
S Cha, T Moon
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Classification of human activity on water through micro-Dopplers using deep convolutional neural networks
Y Kim, T Moon
Radar Sensor Technology XX 9829, 982917, 2016
Fully convolutional pixel adaptive image denoiser
S Cha, T Moon
Proceedings of the IEEE International Conference on Computer Vision, 4160-4169, 2019
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