Practical Fault-Tolerant Framework for eScience Infrastructure. - Hyuck Han; Jai Wug Kim; Jongpil Lee; Youngjin Yu; Kiyoung Kim; Heon Young Yeom (e-Science, 2006)

SHIELD: A Fault-Tolerant MPI for an Infiniband Cluster. - Hyuck Han; Hyungsoo Jung 001; Jai Wug Kim; Jongpil Lee; Youngjin Yu; Shin Gyu Kim; Heon Young Yeom (HPCC, 2006)

Experimental Assessment of the Practicality of a Fault-Tolerant System. - Jai Wug Kim; Jongpil Lee; Heon Young Yeom (SOFSEM (1), 2007)

A global-local optimization framework for simultaneous multi-mode multi-corner clock skew variation reduction. - Kwangsoo Han; Jiajia Li 002; Andrew B. Kahng; Siddhartha Nath; Jongpil Lee (DAC, 2015)

The competitive strategy in global engineering industry: Strategic group analysis. - Yongrae Cho; Jongpil Lee; Kyutae Kim (IEEM, 2015)

The Effect of DJs' Social Network on Music Popularity. - Hyeongseok Wi; Kyung Hoon Hyun; Jongpil Lee; Wonjae Lee (ICMC, 2016)

Combining Multi-Scale Features Using Sample-Level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection. - Jongpil Lee; Jiyoung Park 001; Sangeun Kum; Youngho Jeong; Juhan Nam (DCASE, 2017)

Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging. - Jongpil Lee; Juhan Nam (CoRR, 2017)

Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification. - Jongpil Lee; Juhan Nam (CoRR, 2017)

Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms. - Jongpil Lee; Jiyoung Park 001; Keunhyoung Luke Kim; Juhan Nam (CoRR, 2017)

Raw Waveform-based Audio Classification Using Sample-level CNN Architectures. - Jongpil Lee; Taejun Kim; Jiyoung Park 001; Juhan Nam (CoRR, 2017)

Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging. - Jongpil Lee; Juhan Nam (IEEE Signal Process. Lett., 2017)

Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms. - Taejun Kim; Jongpil Lee; Juhan Nam (ICASSP, 2018)

Representation Learning of Music Using Artist Labels. - Jiyoung Park 001; Jongpil Lee; Jangyeon Park; Jung-Woo Ha; Juhan Nam (ISMIR, 2018)

Deep Content-User Embedding Model for Music Recommendation. - Jongpil Lee; Kyungyun Lee; Jiyoung Park 001; Jangyeon Park; Juhan Nam (CoRR, 2018)

A Hybrid of Deep Audio Feature and i-vector for Artist Recognition. - Jiyoung Park 001; Donghyun Kim; Jongpil Lee; Sangeun Kum; Juhan Nam (CoRR, 2018)

Zero-shot Learning for Audio-based Music Classification and Tagging. - Jeong Choi; Jongpil Lee; Jiyoung Park 001; Juhan Nam (ISMIR, 2019)

A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity. - Saebyul Park; Taegyun Kwon; Jongpil Lee; Jeounghoon Kim; Juhan Nam (ISMIR, 2019)

Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging. - Jeong Choi; Jongpil Lee; Jiyoung Park 001; Juhan Nam (CoRR, 2019)

Representation Learning of Music Using Artist, Album, and Track Information. - Jongpil Lee; Jiyoung Park 001; Juhan Nam (CoRR, 2019)

Comparison and Analysis of SampleCNN Architectures for Audio Classification. - Taejun Kim; Jongpil Lee; Juhan Nam (IEEE J. Sel. Top. Signal Process., 2019)

Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach. - Juhan Nam; Keunwoo Choi; Jongpil Lee; Szu-Yu Chou; Yi-Hsuan Yang (IEEE Signal Process. Mag., 2019)

A Method of Via Variation Induced Delay Computation. - Moonsu Kim; Yun Heo; Seungjae Jung; Kelvin Le; Nathaniel Conos; Hanif Fatemi; Jongpil Lee; Youngmin Shin (DATE, 2020)

Disentangled Multidimensional Metric Learning for Music Similarity. - Jongpil Lee; Nicholas J. Bryan; Justin Salamon; Zeyu Jin; Juhan Nam (ICASSP, 2020)

Metric learning vs classification for disentangled music representation learning. - Jongpil Lee; Nicholas J. Bryan; Justin Salamon; Zeyu Jin; Juhan Nam (ISMIR, 2020)

Musical Word Embedding: Bridging the Gap between Listening Contexts and Music. - Seungheon Doh; Jongpil Lee; Tae Hong Park; Juhan Nam (CoRR, 2020)

Semantic Tagging of Singing Voices in Popular Music Recordings. - Keunhyoung Luke Kim; Jongpil Lee; Sangeun Kum; Chae Lin Park; Juhan Nam (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Learning a cross-domain embedding space of vocal and mixed audio with a structure-preserving triplet loss. - Keunhyoung Luke Kim; Jongpil Lee; Sangeun Kum; Juhan Nam (ISMIR, 2021)

Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music. - Sangeun Kum; Jongpil Lee; Keunhyoung Luke Kim; Taehyoung Kim; Juhan Nam (ICASSP, 2022)

A Resource Efficient Model Training Based on Uncertainty Comparison to Detect Performance Anomalies in 5G Networks. - Hong-Jae Lee; Yeon-Jea Cho; Doyoung Kwak; Jongpil Lee (IECON, 2023)

LP-MusicCaps: LLM-Based Pseudo Music Captioning. - Seungheon Doh; Keunwoo Choi; Jongpil Lee; Juhan Nam (ISMIR, 2023)

Sub-THz D-Band Integrated Analog Beamforming Front-End Prototyping and 6G Outdoor Trials. - Ramez Askar; Mathis Schmieder; Jaehoon Chung; Laurenz John; Thomas Merkle; Sven Wittig; Yonghak Suh; Jongpil Lee; Michael Peter; Thomas Haustein; Wilhelm Keusgen; Slawomir Stanczak (WCNC, 2024)

Musical Word Embedding for Music Tagging and Retrieval. - Seungheon Doh; Jongpil Lee; Dasaem Jeong; Juhan Nam (CoRR, 2024)

Mobilizing the Terahertz Beam: D-Band Analog-Beamforming Front-End Prototyping and Long-Range 6G Trials. - Ramez Askar; Jaehoon Chung; Laurenz John; Thomas Merkle; Sven Wittig; Mathis Schmieder; Yonghak Suh; Jongpil Lee; Benjamin Baumann; Michael Peter; Thomas Haustein; Wilhelm Keusgen; et al. (IEEE Wirel. Commun., 2024)