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2020 – today
- 2024
[c19]Ramez Askar, Mathis Schmieder, Jaehoon Chung, Laurenz John, Thomas Merkle, Sven Wittig, Yonghak Suh, Jongpil Lee, Michael Peter, Thomas Haustein, Wilhelm Keusgen, Slawomir Stanczak:
Sub-THz D-Band Integrated Analog Beamforming Front-End Prototyping and 6G Outdoor Trials. WCNC 2024: 1-5- [i17]Seungheon Doh, Jongpil Lee, Dasaem Jeong, Juhan Nam:
Musical Word Embedding for Music Tagging and Retrieval. CoRR abs/2404.13569 (2024) - 2023
- [c18]Hong-Jae Lee, Yeon-Jea Cho, Doyoung Kwak, Jongpil Lee:
A Resource Efficient Model Training Based on Uncertainty Comparison to Detect Performance Anomalies in 5G Networks. IECON 2023: 1-6 - [c17]Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam:
LP-MusicCaps: LLM-Based Pseudo Music Captioning. ISMIR 2023: 409-416 - [i16]Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam:
LP-MusicCaps: LLM-Based Pseudo Music Captioning. CoRR abs/2307.16372 (2023) - 2022
- [c16]Sangeun Kum, Jongpil Lee, Keunhyoung Luke Kim, Taehyoung Kim, Juhan Nam
:
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music. ICASSP 2022: 796-800 - [i15]Sangeun Kum, Jongpil Lee, Keunhyoung Luke Kim, Taehyoung Kim, Juhan Nam:
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music. CoRR abs/2203.13422 (2022) - 2021
- [c15]Keunhyoung Luke Kim, Jongpil Lee, Sangeun Kum, Juhan Nam:
Learning a cross-domain embedding space of vocal and mixed audio with a structure-preserving triplet loss. ISMIR 2021: 334-341 - 2020
- [j4]Keunhyoung Luke Kim, Jongpil Lee, Sangeun Kum, Chae Lin Park, Juhan Nam:
Semantic Tagging of Singing Voices in Popular Music Recordings. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1656-1668 (2020) - [c14]Moonsu Kim, Yun Heo, Seungjae Jung, Kelvin Le, Nathaniel Conos, Hanif Fatemi, Jongpil Lee, Youngmin Shin:
A Method of Via Variation Induced Delay Computation. DATE 2020: 1712-1713 - [c13]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Disentangled Multidimensional Metric Learning for Music Similarity. ICASSP 2020: 6-10 - [c12]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Metric learning vs classification for disentangled music representation learning. ISMIR 2020: 439-445 - [i14]Seungheon Doh, Jongpil Lee, Tae Hong Park, Juhan Nam:
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music. CoRR abs/2008.01190 (2020) - [i13]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Disentangled Multidimensional Metric Learning for Music Similarity. CoRR abs/2008.03720 (2020) - [i12]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Metric Learning vs Classification for Disentangled Music Representation Learning. CoRR abs/2008.03729 (2020)
2010 – 2019
- 2019
- [j3]Taejun Kim, Jongpil Lee, Juhan Nam:
Comparison and Analysis of SampleCNN Architectures for Audio Classification. IEEE J. Sel. Top. Signal Process. 13(2): 285-297 (2019) - [j2]Juhan Nam, Keunwoo Choi, Jongpil Lee, Szu-Yu Chou, Yi-Hsuan Yang:
Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach. IEEE Signal Process. Mag. 36(1): 41-51 (2019) - [c11]Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam:
Zero-shot Learning for Audio-based Music Classification and Tagging. ISMIR 2019: 67-74 - [c10]Saebyul Park, Taegyun Kwon, Jongpil Lee, Jeounghoon Kim, Juhan Nam:
A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity. ISMIR 2019: 423-430 - [i11]Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam:
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging. CoRR abs/1906.08615 (2019) - [i10]Jongpil Lee, Jiyoung Park, Juhan Nam:
Representation Learning of Music Using Artist, Album, and Track Information. CoRR abs/1906.11783 (2019) - [i9]Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam:
Zero-shot Learning for Audio-based Music Classification and Tagging. CoRR abs/1907.02670 (2019) - 2018
- [c9]Taejun Kim, Jongpil Lee, Juhan Nam:
Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms. ICASSP 2018: 366-370 - [c8]Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam:
Representation Learning of Music Using Artist Labels. ISMIR 2018: 717-724 - [i8]Jongpil Lee, Kyungyun Lee, Jiyoung Park, Jangyeon Park, Juhan Nam:
Deep Content-User Embedding Model for Music Recommendation. CoRR abs/1807.06786 (2018) - [i7]Jiyoung Park, Donghyun Kim, Jongpil Lee, Sangeun Kum, Juhan Nam:
A Hybrid of Deep Audio Feature and i-vector for Artist Recognition. CoRR abs/1807.09208 (2018) - 2017
- [j1]Jongpil Lee, Juhan Nam:
Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging. IEEE Signal Process. Lett. 24(8): 1208-1212 (2017) - [c7]Jongpil Lee, Jiyoung Park, Sangeun Kum, Youngho Jeong, Juhan Nam:
Combining Multi-Scale Features Using Sample-Level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection. DCASE 2017: 69-73 - [i6]Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim, Juhan Nam:
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms. CoRR abs/1703.01789 (2017) - [i5]Jongpil Lee, Juhan Nam:
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging. CoRR abs/1703.01793 (2017) - [i4]Jongpil Lee, Juhan Nam:
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification. CoRR abs/1706.06810 (2017) - [i3]Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam:
Representation Learning of Music Using Artist Labels. CoRR abs/1710.06648 (2017) - [i2]Taejun Kim, Jongpil Lee, Juhan Nam:
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms. CoRR abs/1710.10451 (2017) - [i1]Jongpil Lee, Taejun Kim, Jiyoung Park, Juhan Nam:
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures. CoRR abs/1712.00866 (2017) - 2016
- [c6]Hyeongseok Wi, Kyung Hoon Hyun, Jongpil Lee, Wonjae Lee:
The Effect of DJs' Social Network on Music Popularity. ICMC 2016 - 2015
- [c5]Kwangsoo Han, Jiajia Li, Andrew B. Kahng, Siddhartha Nath, Jongpil Lee:
A global-local optimization framework for simultaneous multi-mode multi-corner clock skew variation reduction. DAC 2015: 26:1-26:6 - [c4]Yongrae Cho, Jongpil Lee, Kyutae Kim:
The competitive strategy in global engineering industry: Strategic group analysis. IEEM 2015: 549-553
2000 – 2009
- 2007
- [c3]Jai Wug Kim, Jongpil Lee, Heon Young Yeom:
Experimental Assessment of the Practicality of a Fault-Tolerant System. SOFSEM (1) 2007: 878-887 - 2006
- [c2]Hyuck Han, Jai Wug Kim, Jongpil Lee, Youngjin Yu, Kiyoung Kim, Heon Young Yeom:
Practical Fault-Tolerant Framework for eScience Infrastructure. e-Science 2006: 57 - [c1]Hyuck Han, Hyungsoo Jung, Jai Wug Kim, Jongpil Lee, Youngjin Yu, Shin Gyu Kim, Heon Young Yeom:
SHIELD: A Fault-Tolerant MPI for an Infiniband Cluster. HPCC 2006: 874-883
Coauthor Index
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