Jongpil Lee

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 35

Top Topics

Pairwise Similarities

Weakly Supervised

Metric Learning

Polyphonic Music

Top Venues

IEEE Signal Process. Lett.

Publications

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)
Seungheon Doh, Jongpil Lee, Dasaem Jeong, Juhan Nam
Musical Word Embedding for Music Tagging and Retrieval. CoRR (2024)
Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam
LP-MusicCaps: LLM-Based Pseudo Music Captioning. CoRR (2023)
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)
Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam
LP-MusicCaps: LLM-Based Pseudo Music Captioning. ISMIR (2023)
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)
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 (2022)
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)
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 (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Metric Learning vs Classification for Disentangled Music Representation Learning. CoRR (2020)
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)
Seungheon Doh, Jongpil Lee, Tae Hong Park, Juhan Nam
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music. CoRR (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Disentangled Multidimensional Metric Learning for Music Similarity. ICASSP (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Metric learning vs classification for disentangled music representation learning. ISMIR (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Disentangled Multidimensional Metric Learning for Music Similarity. CoRR (2020)
Saebyul Park, Taegyun Kwon, Jongpil Lee, Jeounghoon Kim, Juhan Nam
A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity. ISMIR (2019)
Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam
Zero-shot Learning for Audio-based Music Classification and Tagging. ISMIR (2019)
Taejun Kim, Jongpil Lee, Juhan Nam
Comparison and Analysis of SampleCNN Architectures for Audio Classification. IEEE J. Sel. Top. Signal Process. 13 (2) (2019)
Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging. CoRR (2019)
Jongpil Lee, Jiyoung Park, Juhan Nam
Representation Learning of Music Using Artist, Album, and Track Information. CoRR (2019)
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) (2019)
Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam
Zero-shot Learning for Audio-based Music Classification and Tagging. CoRR (2019)
Jongpil Lee, Kyungyun Lee, Jiyoung Park, Jangyeon Park, Juhan Nam
Deep Content-User Embedding Model for Music Recommendation. CoRR (2018)
Jiyoung Park, Donghyun Kim, Jongpil Lee, Sangeun Kum, Juhan Nam
A Hybrid of Deep Audio Feature and i-vector for Artist Recognition. CoRR (2018)
Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam
Representation Learning of Music Using Artist Labels. ISMIR (2018)
Taejun Kim, Jongpil Lee, Juhan Nam
Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms. ICASSP (2018)
Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim, Juhan Nam
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms. CoRR (2017)
Jongpil Lee, Juhan Nam
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification. CoRR (2017)
Taejun Kim, Jongpil Lee, Juhan Nam
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms. CoRR (2017)
Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam
Representation Learning of Music Using Artist Labels. CoRR (2017)
Jongpil Lee, Juhan Nam
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging. CoRR (2017)
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)
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) (2017)
Jongpil Lee, Taejun Kim, Jiyoung Park, Juhan Nam
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures. CoRR (2017)
Hyeongseok Wi, Kyung Hoon Hyun, Jongpil Lee, Wonjae Lee
The Effect of DJs' Social Network on Music Popularity. ICMC (2016)
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)
Yongrae Cho, Jongpil Lee, Kyutae Kim
The competitive strategy in global engineering industry: Strategic group analysis. IEEM (2015)
Jai Wug Kim, Jongpil Lee, Heon Young Yeom
Experimental Assessment of the Practicality of a Fault-Tolerant System. SOFSEM (1) (2007)
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)
Hyuck Han, Jai Wug Kim, Jongpil Lee, Youngjin Yu, Kiyoung Kim, Heon Young Yeom
Practical Fault-Tolerant Framework for eScience Infrastructure. e-Science (2006)