ProfessorsProfessors of Queen Mary University of LondonJiawen Huang

Jiawen Huang

Queen Mary University of London

H-index: 4

Europe-United Kingdom

About Jiawen Huang

Jiawen Huang, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Queen Mary University of London, specializes in the field of Music Information Retrieval.

His recent articles reflect a diverse array of research interests and contributions to the field:

AI (r) evolution--where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

Improving Lyrics Alignment Through Joint Pitch Detection

Modeling the compatibility of stem tracks to generate music mashups

Score-informed Networks for Music Performance Assessment

Jiawen Huang Information

University	Queen Mary University of London
Position	___
Citations(all)	34
Citations(since 2020)	34
Cited By	5
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	1
i10Index(since 2020)	1
Email	Access Email
University Profile Page	Queen Mary University of London
Google Scholar	View Google Scholar Profile

Jiawen Huang Skills & Research Interests

Music Information Retrieval

Top articles of Jiawen Huang

Title	Journal	Author(s)	Publication Date
AI (r) evolution--where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning	arXiv preprint arXiv:2310.18320	Giovanni Bindi Nils Demerlé Rodrigo Diaz David Genova Aliénor Golvet ...	2023/9/20
MARBLE: Music Audio Representation Benchmark for Universal Evaluation		Ruibin Yuan Yinghao Ma Yizhi Li Ge Zhang Xingran Chen ...	2023/9/20
Improving Lyrics Alignment Through Joint Pitch Detection		Jiawen Huang Emmanouil Benetos Sebastian Ewert	2022/5/23
Modeling the compatibility of stem tracks to generate music mashups	Proceedings of the AAAI Conference on Artificial Intelligence	Jiawen Huang Ju-Chiang Wang Jordan BL Smith Xuchen Song Yuxuan Wang	2021/5/18
Score-informed Networks for Music Performance Assessment	arXiv preprint arXiv:2008.00203	Jiawen Huang Yun-Ning Hung Ashis Pati Siddharth Kumar Gururani Alexander Lerch	2020/8/1