Hyun Ah Song

Orcid: 0000-0001-6337-9036

According to our database1, Hyun Ah Song authored at least 27 papers between 2011 and 2024.

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Bibliography

2024
Correction to: TurboLift: fast accuracy lifting for historical data recovery.
VLDB J., January, 2024

2021
Reconstructing and Mining Signals: Algorithms and Applications.
PhD thesis, 2021

2020
TurboLift: fast accuracy lifting for historical data recovery.
VLDB J., 2020

2019
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data.
IEEE Trans. Knowl. Data Eng., 2019

TensorCast: forecasting and mining with coupled tensors.
Knowl. Inf. Syst., 2019

Impact of Load Models on Power Flow Optimization.
CoRR, 2019

2018
HomeRun: Scalable Sparse-Spectrum Reconstruction of Aggregated Historical Data.
Proc. VLDB Endow., 2018

StreamCast: Fast and Online Mining of Power Grid Time Sequences.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Ares: Automatic Disaggregation of Historical Data.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Graph-Based Fraud Detection in the Face of Camouflage.
ACM Trans. Knowl. Discov. Data, 2017

H-Fuse: Efficient Fusion of Aggregated Historical Data.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

PowerCast: Mining and Forecasting Power Grid Sequences.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Linear load model for robust power system analysis.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

FRAUDAR: Bounding Graph Fraud in the Face of Camouflage.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Noise-Robust Detection of Symmetric Axes by Self-Correcting Artificial Neural Network.
Neural Process. Lett., 2015

Hierarchical feature extraction by multi-layer non-negative matrix factorization network for classification task.
Neurocomputing, 2015

Education, Learning and Information Theory.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2013
Hierarchical Data Representation Model - Multi-layer NMF
Proceedings of the 1st International Conference on Learning Representations, 2013

Hierarchical Representation Using NMF.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Flexible Reasoning of Boolean Constraints in Recurrent Neural Networks with Dual Representation.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Self-correcting Symmetry Detection Network.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Enhanced Discrimination of Face Orientation Based on Gabor Filters.
Proceedings of the Neural Information Processing - 18th International Conference, 2011


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