Byunghan Lee

Orcid: 0000-0002-6727-0975

According to our database1, Byunghan Lee authored at least 29 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Contrastive Time-Series Anomaly Detection.
IEEE Trans. Knowl. Data Eng., October, 2024

Class conditioned text generation with style attention mechanism for embracing diversity.
Appl. Soft Comput., 2024

Novel Curriculum Learning Strategy Using Class-Based TF-IDF for Enhancing Personality Detection in Text.
IEEE Access, 2024

2023
TiCTok: Time-Series Anomaly Detection With Contrastive Tokenization.
IEEE Access, 2023

Considerations in Evaluation of Deep Hashing Networks for Information Retrieval System.
Proceedings of the 20th International SoC Design Conference, 2023

2022
TargetNet: functional microRNA target prediction with deep neural networks.
Bioinform., 2022

Towards a Rigorous Evaluation of Time-Series Anomaly Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Geometry-aware Transformer for molecular property prediction.
CoRR, 2021

Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation.
CoRR, 2021

MUGAN: multi-GPU accelerated AmpliconNoise server for rapid microbial diversity assessment.
Bioinform., 2021

Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information.
IEEE Access, 2021

NASCUP: Nucleic Acid Sequence Classification by Universal Probability.
IEEE Access, 2021

2020
Deep Learning-Based microRNA Target Prediction Using Experimental Negative Data.
IEEE Access, 2020

Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks.
Proceedings of the Computing in Cardiology, 2020

2019
DNA Steganalysis Using Deep Recurrent Neural Networks.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018
hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units Based on Homopolymer Compaction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA.
CoRR, 2018

LncRNAnet: long non-coding RNA identification using deep learning.
Bioinform., 2018

2017
Deep learning in bioinformatics.
Briefings Bioinform., 2017

2016
Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors.
IEEE Access, 2016

Neural Universal Discrete Denoiser.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
DUDE-Seq: Fast Universal Denoising of Nucleotide Sequences.
CoRR, 2015

DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks.
CoRR, 2015

Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond.
CoRR, 2015

NASCUP: Nucleic Acid Sequence Classification by Universal Probability.
CoRR, 2015

2014
CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing.
BMC Bioinform., 2014

2013
In-depth analysis of interrelation between quality scores and real errors in illumina reads.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012


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