Jongpil Lee

Orcid: 0000-0002-1126-0081

According to our database¹, Jongpil Lee authored at least 31 papers between 2006 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2023

LP-MusicCaps: LLM-Based Pseudo Music Captioning.

[BibT_eX]

[DOI]

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

A Resource Efficient Model Training Based on Uncertainty Comparison to Detect Performance Anomalies in 5G Networks.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022

Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Learning a cross-domain embedding space of vocal and mixed audio with a structure-preserving triplet loss.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020

Semantic Tagging of Singing Voices in Popular Music Recordings.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Musical Word Embedding: Bridging the Gap between Listening Contexts and Music.

[BibT_eX]

[DOI]

CoRR, 2020

Metric learning vs classification for disentangled music representation learning.

[BibT_eX]

[DOI]

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Disentangled Multidimensional Metric Learning for Music Similarity.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Method of Via Variation Induced Delay Computation.

[BibT_eX]

[DOI]

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2019

Comparison and Analysis of SampleCNN Architectures for Audio Classification.

[BibT_eX]

[DOI]

Taejun Kim

Jongpil Lee

Juhan Nam

IEEE J. Sel. Top. Signal Process., 2019

Representation Learning of Music Using Artist, Album, and Track Information.

[BibT_eX]

[DOI]

Jongpil Lee

Jiyoung Park

Juhan Nam

CoRR, 2019

Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging.

[BibT_eX]

[DOI]

CoRR, 2019

A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity.

[BibT_eX]

[DOI]

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Zero-shot Learning for Audio-based Music Classification and Tagging.

[BibT_eX]

[DOI]

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2018

A Hybrid of Deep Audio Feature and i-vector for Artist Recognition.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Content-User Embedding Model for Music Recommendation.

[BibT_eX]

[DOI]

CoRR, 2018

Representation Learning of Music Using Artist Labels.

[BibT_eX]

[DOI]

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms.

[BibT_eX]

[DOI]

Taejun Kim

Jongpil Lee

Juhan Nam

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging.

[BibT_eX]

[DOI]

Jongpil Lee

Juhan Nam

IEEE Signal Process. Lett., 2017

Raw Waveform-based Audio Classification Using Sample-level CNN Architectures.

[BibT_eX]

[DOI]

CoRR, 2017

Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms.

[BibT_eX]

[DOI]

CoRR, 2017

Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification.

[BibT_eX]

[DOI]

Jongpil Lee

Juhan Nam

CoRR, 2017

Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging.

[BibT_eX]

[DOI]

Jongpil Lee

Juhan Nam

CoRR, 2017

Combining Multi-Scale Features Using Sample-Level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016

The Effect of DJs' Social Network on Music Popularity.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Computer Music Conference, 2016

2015

The competitive strategy in global engineering industry: Strategic group analysis.

[BibT_eX]

[DOI]

Yongrae Cho

Jongpil Lee

Kyutae Kim

Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015

A global-local optimization framework for simultaneous multi-mode multi-corner clock skew variation reduction.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Design Automation Conference, 2015

2007

Experimental Assessment of the Practicality of a Fault-Tolerant System.

[BibT_eX]

[DOI]

Jai Wug Kim

Jongpil Lee

Heon Young Yeom

Proceedings of the SOFSEM 2007: Theory and Practice of Computer Science, 2007

2006

SHIELD: A Fault-Tolerant MPI for an Infiniband Cluster.

[BibT_eX]

[DOI]

Proceedings of the High Performance Computing and Communications, 2006

Practical Fault-Tolerant Framework for eScience Infrastructure.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006

Jongpil Lee

Timeline

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