Jongpil Lee

43 papers A* 1A 1B 3C 2Misc 3Journal 23Unranked 10
YearRankTypeTitle / Venue / Authors
2025 B conf
D-Band Adaptive Beamforming for 6G Sub-THz Communications: Feasibility and Experimental Results.
PIMRC
Sven Wittig, Ramez Askar, Utku Uçak, Matthias Mehlhose, Mathis Schmieder, Jaehoon Chung, Bersant Gashi, Laurenz John, Thomas Merkle, Yonghak Suh, Jongpil Lee, Michael Peter, Thomas Haustein, Slawomir Stanczak, Arnulf Leuther
2025 J jnl
From Generation to Attribution: Music AI Agent Architectures for the Post-Streaming Era.
CoRR
Wonil Kim, Hyeongseok Wi, Seungsoon Park, Taejun Kim, Sangeun Keum, Keunhyoung Kim, Taewan Kim, Jongmin Jung, Taehyoung Kim, Gaetan Guerrero, Mael Le Goff, Julie Po, Dongjoo Moon, Juhan Nam, Jongpil Lee
2024 J jnl
Mobilizing the Terahertz Beam: D-Band Analog-Beamforming Front-End Prototyping and Long-Range 6G Trials.
IEEE Wirel. Commun.
Ramez Askar, Jaehoon Chung, Laurenz John, Thomas Merkle, Sven Wittig, Mathis Schmieder, Yonghak Suh, Jongpil Lee, Benjamin Baumann, Michael Peter, Thomas Haustein, Wilhelm Keusgen, Slawomir Stanczak
2024 J jnl
Musical Word Embedding for Music Tagging and Retrieval.
CoRR
Seungheon Doh, Jongpil Lee, Dasaem Jeong, Juhan Nam
2024 B conf
Sub-THz D-Band Integrated Analog Beamforming Front-End Prototyping and 6G Outdoor Trials.
WCNC
Ramez Askar, Mathis Schmieder, Jaehoon Chung, Laurenz John, Thomas Merkle, Sven Wittig, Yonghak Suh, Jongpil Lee, Michael Peter, Thomas Haustein, Wilhelm Keusgen, Slawomir Stanczak
2023 C conf
A Resource Efficient Model Training Based on Uncertainty Comparison to Detect Performance Anomalies in 5G Networks.
IECON
Hong-Jae Lee, Yeon-Jea Cho, Doyoung Kwak, Jongpil Lee
2023 — conf
LP-MusicCaps: LLM-Based Pseudo Music Captioning.
ISMIR
Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam
2023 J jnl
LP-MusicCaps: LLM-Based Pseudo Music Captioning.
CoRR
Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam
2022 Misc conf
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music.
ICASSP
Sangeun Kum, Jongpil Lee, Keunhyoung Luke Kim, Taehyoung Kim, Juhan Nam
2022 J jnl
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music.
CoRR
Sangeun Kum, Jongpil Lee, Keunhyoung Luke Kim, Taehyoung Kim, Juhan Nam
2021 — conf
Learning a cross-domain embedding space of vocal and mixed audio with a structure-preserving triplet loss.
ISMIR
Keunhyoung Luke Kim, Jongpil Lee, Sangeun Kum, Juhan Nam
2020 A conf
A Method of Via Variation Induced Delay Computation.
DATE
Moonsu Kim, Yun Heo, Seungjae Jung, Kelvin Le, Nathaniel Conos, Hanif Fatemi, Jongpil Lee, Youngmin Shin
2020 Misc conf
Disentangled Multidimensional Metric Learning for Music Similarity.
ICASSP
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
2020 J jnl
Disentangled Multidimensional Metric Learning for Music Similarity.
CoRR
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
2020 J jnl
Metric Learning vs Classification for Disentangled Music Representation Learning.
CoRR
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
2020 — conf
Metric learning vs classification for disentangled music representation learning.
ISMIR
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
2020 J jnl
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music.
CoRR
Seungheon Doh, Jongpil Lee, Tae Hong Park, Juhan Nam
2020 J jnl
Semantic Tagging of Singing Voices in Popular Music Recordings.
IEEE ACM Trans. Audio Speech Lang. Process.
Keunhyoung Luke Kim, Jongpil Lee, Sangeun Kum, Chae Lin Park, Juhan Nam
2019 — conf
A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity.
ISMIR
Saebyul Park, Taegyun Kwon, Jongpil Lee, Jeounghoon Kim, Juhan Nam
2019 J jnl
Comparison and Analysis of SampleCNN Architectures for Audio Classification.
IEEE J. Sel. Top. Signal Process.
Taejun Kim, Jongpil Lee, Juhan Nam
2019 J jnl
Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach.
IEEE Signal Process. Mag.
Juhan Nam, Keunwoo Choi, Jongpil Lee, Szu-Yu Chou, Yi-Hsuan Yang
2019 J jnl
Representation Learning of Music Using Artist, Album, and Track Information.
CoRR
Jongpil Lee, Jiyoung Park, Juhan Nam
2019 J jnl
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging.
CoRR
Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam
2019 — conf
Zero-shot Learning for Audio-based Music Classification and Tagging.
ISMIR
Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam
2019 J jnl
Zero-shot Learning for Audio-based Music Classification and Tagging.
CoRR
Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam
2018 J jnl
A Hybrid of Deep Audio Feature and i-vector for Artist Recognition.
CoRR
Jiyoung Park, Donghyun Kim, Jongpil Lee, Sangeun Kum, Juhan Nam
2018 J jnl
Deep Content-User Embedding Model for Music Recommendation.
CoRR
Jongpil Lee, Kyungyun Lee, Jiyoung Park, Jangyeon Park, Juhan Nam
2018 — conf
Representation Learning of Music Using Artist Labels.
ISMIR
Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam
2018 Misc conf
Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms.
ICASSP
Taejun Kim, Jongpil Lee, Juhan Nam
2017 — conf
Combining Multi-Scale Features Using Sample-Level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection.
DCASE
Jongpil Lee, Jiyoung Park, Sangeun Kum, Youngho Jeong, Juhan Nam
2017 J jnl
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging.
CoRR
Jongpil Lee, Juhan Nam
2017 J jnl
Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging.
IEEE Signal Process. Lett.
Jongpil Lee, Juhan Nam
2017 J jnl
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification.
CoRR
Jongpil Lee, Juhan Nam
2017 J jnl
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures.
CoRR
Jongpil Lee, Taejun Kim, Jiyoung Park, Juhan Nam
2017 J jnl
Representation Learning of Music Using Artist Labels.
CoRR
Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam
2017 J jnl
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms.
CoRR
Taejun Kim, Jongpil Lee, Juhan Nam
2017 J jnl
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms.
CoRR
Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim, Juhan Nam
2016 — conf
The Effect of DJs' Social Network on Music Popularity.
ICMC
Hyeongseok Wi, Kyung Hoon Hyun, Jongpil Lee, Wonjae Lee
2015 A* conf
A global-local optimization framework for simultaneous multi-mode multi-corner clock skew variation reduction.
DAC
Kwangsoo Han, Jiajia Li, Andrew B. Kahng, Siddhartha Nath, Jongpil Lee
2015 — conf
The competitive strategy in global engineering industry: Strategic group analysis.
IEEM
Yongrae Cho, Jongpil Lee, Kyutae Kim
2007 — conf
Experimental Assessment of the Practicality of a Fault-Tolerant System.
SOFSEM (1)
Jai Wug Kim, Jongpil Lee, Heon Young Yeom
2006 B conf
Practical Fault-Tolerant Framework for eScience Infrastructure.
e-Science
Hyuck Han, Jai Wug Kim, Jongpil Lee, Youngjin Yu, Kiyoung Kim, Heon Young Yeom
2006 C conf
SHIELD: A Fault-Tolerant MPI for an Infiniband Cluster.
HPCC
Hyuck Han, Hyungsoo Jung, Jai Wug Kim, Jongpil Lee, Youngjin Yu, Shin Gyu Kim, Heon Young Yeom