We stand with Ukraine

We stand with Ukraine

Sunyoung Kwon

Orcid: 0000-0003-3433-1409

According to our database¹, Sunyoung Kwon authored at least 22 papers between 2012 and 2022.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2022

Signal Preprocessing Technique With Noise-Tolerant for RF-Based UAV Signal Classification.

[BibT_eX]

[DOI]

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Seon-Geun Jeong

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Huu-Trung Hoang

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Thien Huynh-The

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IEEE Access, 2022

Fall Detection using Biometric Information Based on Multi-Horizon Forecasting.

[BibT_eX]

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Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning.

[BibT_eX]

[DOI]

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CoRR, 2021

M2FN: Multi-step modality fusion for advertisement image assessment.

[BibT_eX]

[DOI]

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Byoung-Tak Zhang

Appl. Soft Comput., 2021

Graphs, Entities, and Step Mixture for Enriching Graph Representation.

[BibT_eX]

[DOI]

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IEEE Access, 2021

NASCUP: Nucleic Acid Sequence Classification by Universal Probability.

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IEEE Access, 2021

Stress Detection With Single PPG Sensor by Orchestrating Multiple Denoising and Peak-Detecting Methods.

[BibT_eX]

[DOI]

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IEEE Access, 2021

2020

Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty.

[BibT_eX]

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CoRR, 2020

Multi-Manifold Learning for Large-scale Targeted Advertising System.

[BibT_eX]

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CoRR, 2020

Graphs, Entities, and Step Mixture.

[BibT_eX]

[DOI]

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CoRR, 2020

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

End-to-End Representation Learning for Chemical-Chemical Interaction Prediction.

[BibT_eX]

[DOI]

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IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion.

[BibT_eX]

[DOI]

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Byoung-Tak Zhang

CoRR, 2019

Comprehensive ensemble in QSAR prediction for drug discovery.

[BibT_eX]

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BMC Bioinform., 2019

DNA Steganalysis Using Deep Recurrent Neural Networks.

[BibT_eX]

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Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018

LncRNAnet: long non-coding RNA identification using deep learning.

[BibT_eX]

[DOI]

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Bioinform., 2018

2017

DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction.

[BibT_eX]

[DOI]

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Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2015

Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond.

[BibT_eX]

[DOI]

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CoRR, 2015

NASCUP: Nucleic Acid Sequence Classification by Universal Probability.

[BibT_eX]

[DOI]

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CoRR, 2015

2014

CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing.

[BibT_eX]

[DOI]

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BMC Bioinform., 2014

2013

In-depth analysis of interrelation between quality scores and real errors in illumina reads.

[BibT_eX]

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Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Fabrication of Nonenzymatic Glucose Sensors Based on Multiwalled Carbon Nanotubes with Bimetallic Pt-M (M = Ru and Sn) Catalysts by Radiolytic Deposition.

[BibT_eX]

[DOI]

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J. Sensors, 2012

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