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Xiaobing Li
Observed name:
Li, Xiaobing
Institution:
Central Conservatory of Music
Observed institution:
Central Conservatory of Music
ORCID:
0000-0003-0113-824X
Observed ORCID:
0000-0003-0113-824X
OpenAlex ID:
A5012356492
NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms
2025
·
Wang, Yashan
, Wu, Shangda
, et al.
·
arXiv (Cornell University)
·
30
PDF
MelodyT5: A Unified Score-to-Score Transformer for Symbolic Music Processing
2024
·
Wu, Shangda
, Wang, Yashan
, et al.
·
arXiv (Cornell University)
·
16
PDF
Audio Matters Too! Enhancing Markerless Motion Capture with Audio Signals for String Performance Capture
2024
·
Yitong Jin
, Zhiping Qiu
, et al.
·
ACM Transactions on Graphics
·
12
ELGAR: Expressive Cello Performance Motion Generation for Audio Rendition
2025
·
Zhiping Qiu
, Yitong Jin
, et al.
·
ACM SIGGRAPH Conference (SIGGRAPH)
·
5
PDF
Wireless Communications and Mobile Computing Multitrack Music Generation Network Based on Music Rules
2022
·
Yun Tie
, Tao Wang
, et al.
·
Wireless Communications and Mobile Computing
·
3
PDF
Musical Score Understanding Benchmark: Evaluating Large Language Models' Comprehension of Complete Musical Scores
2026
·
Association for Computational Linguistics 2026
, An, Hongran
, et al.
·
Underline Science Inc.
MCMG: Multi-level Controllable Music Generation Model Based on Fine-grained Control
2025
·
Jingge Zhao
, Xiaobing Li
, et al.
·
Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
Video-driven cross-modal controlled music generation
2025
·
Jingge Zhao
, Xiaobing Li
, et al.
·
IEEE International Conference on Multimedia and Expo workshops
Guest Editorial: Special Issue on Music Intelligence and Social Computation
2025
·
Xiaohong Guan
, Xiaobing Li
, et al.
·
IEEE Transactions on Computational Social Systems
NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms
2024
·
Yashan Wang
, Shangda Wu
, et al.
·
International Joint Conference on Artificial Intelligence
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Works count:
11
Citation count:
66
H-index:
4
I10-index:
3
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