Scholar
Longshen Ou
Google Scholar ID: hf-xY6gAAAAJ
National University of Singapore
Citations & Impact
Citations
114
H-index
6
i10-index
5
Publications
10
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization' accepted by NeurIPS 2025, 'Lead Instrument Detection from Multitrack Music' accepted by ICASSP 2025, 'DNA Storage Toolkit: A Modular End-to-End DNA Data Storage Codec and Simulator' accepted by ISPASS 2024, 'Automatic Lyric Transcription and Automatic Music Transcription from Multimodal Singing' accepted by ACM TOMM, 'Singable and Controllable Neural Lyric Translation: a Late-Breaking Showcase' accepted by ISMIR 2023 Late Breaking Demo, 'Songs Across Borders: Singable and Controllable Neural Lyric Translation' accepted by ACL 2023. Also received several awards, such as the Research Achievement Award (2022/2023) from the School of Computing, NUS.
Research Experience
- Interned at Sony Computer Science Laboratories and YAMAHA. Involved in multiple research projects, including lead instrument detection from multitrack music, REMI-z tokenizer, and Multitrack music data structure.
Education
- Currently a last-year PhD candidate in the Sound and Music Computing Lab, School of Computing, National University of Singapore, advised by Prof. Ye Wang. Previously, earned a Bachelor's degree in Computer Science from Harbin Institute of Technology and completed a bachelor's thesis on piano music transcription at the Auditory Intelligence Research Center, advised by Prof. Jiqing Han.
Background
- AI Researcher in Audio, NLP, and Music. Research interests include advancing music information retrieval (MIR), audio and speech processing, and natural language processing (NLP) through deep learning methods. Particularly interested in automatic transcription, generation, and translation of music and lyrics, with a focus on self-supervised learning, transfer learning, and controlled generation.
Miscellany
- Professional-level violinist and guitarist, passionate about music.
