Experience

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ByteDance / TikTok

Research Scientist

Jan 2021 — Present | Mountain View, CA

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Adobe

Research Collaboration

Jun 2020 — Dec 2020 | Remote (due to COVID-19)

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Pandora

Research Internship

Jun 2019 — Dec 2019 | Oakland, CA

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Naver Corp.

Research Internship

May 2018 — Sep 2018 | Seongnam, Korea

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Kakao Corp.

Research Internship

Jul 2017 — Dec 2017 | Seongnam, Korea

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Spoqa

Research Scientist

Jan 2016 — Sep 2016 | Seoul, Korea

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Institute of Andvanced Media Arts and Sciences (IAMAS)

Research Internship

Jun 2014 — Aug 2014 | Ogaki, Japan

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Republic of Korea Army

Military Service, Sergeant

Apr 2008 — Mar 2010 | Goyang, Korea

Education

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Universitat Pompeu Fabra

Ph.D. Candidate

Information and Communication Technologies

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Universitat Pompeu Fabra

Master of Science, 2017

Sound and Music Computing

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Seoul National University

Master of Science, 2015

Digital Contents and Information Studies

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Sogang University

Bachelor of Science, 2013

Electronic Engineering

Publications

Music Classification: Beyond Supervised Learning, Towards Real-world Applications

Minz Won, Janne Spijkervet, Keunwoo Choi

ISMIR 2021 tutorial 📖

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Emotion Embedding Spaces for Matching Music to Stories

Minz Won, Justin Salamon, Nicholas J Bryan, Gautham J Mysore, Xavier Serra

ISMIR 2021 | Best Student Paper 🎉

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Semi-supervised Music Tagging Transformer

Minz Won, Keunwoo Choi, Xavier Serra

ISMIR 2021

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SpecTNT: A Time-frequency Transformer for Music Audio

Wei-Tsung Lu, Ju-Chiang Wang, Minz Won, Keunwoo Choi, Xuchen Song

ISMIR 2021

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Multimodal Metric Learning for Tag-based Music Retrieval

Minz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra

ICASSP 2021

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Mood Classification using Listening Data

Filip Korzeniowski, Oriol Nieto, M McCallum, Minz Won, Sergio Oramas, E Schmidt

ISMIR 2020

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Data-driven Harmonic Filters for Audio Representation Learning

Minz Won, Sanghyuk Chun, Oriol Nieto, Xavier Serra

ICASSP 2020

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Evaluation of CNN-based Automatic Music Tagging Models

Minz Won, Andres Ferraro, Dmitry Bogdanov, Xavier Serra

SMC 2020

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Toward Interpretable Music Tagging with Self-attention

Minz Won, Sanghyuk Chun, Xavier Serra

ArXiv 2019

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Visualizing and Understanding Self-attention based Music Tagging

Minz Won, Sanghyuk Chun, Xavier Serra

ICML 2019, Machine Learning for Music Discovery Workshop

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The MTG-Jamendo Dataset for Automatic Music Tagging

Dmitry Bogdanov, Minz Won, Philip Tovstogan, Alastair Porter, Xavier Serra

ICML 2019, Machine Learning for Music Discovery Workshop

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Towards Seed-free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information

Jaehun Kim, Minz Won, Cynthia CS Liem, Alan Hanjalic

RecSys 2018 Challenge

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Transfer Learning of Artist Group Factors to Musical Genre Classification

Jaehun Kim, Minz Won, Xavier Serra, Cynthia CS Liem

WWW 2018 Challenge | Challenge Winner 🎉

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