MMR Lab
Multimodal Music Research Lab
Multimodal Music Research Lab
The Multimodal Music Research Lab studies music information retrieval, automatic music transcription, optical music recognition, and their fusion into multimodal musical score retrieval systems. We also explore music theory, musicology, digital music libraries, natural language processing, and expert systems for music understanding.
News
- Prof. Ju presented at the 70th KMES International Academic Conference.
- 1 paper accepted for ACMMM 2026 (Oral presentation). It is now available on arXiv.
- One paper was accepted to ICASSP 2026.
- Prof. Ju presented "Multimedia Music Transcription and its Applications" at the 2025 National Conference on Speech, Hearing and Music Acoustics.
- Multiple research positions are open for postdoctoral researchers, senior researchers, and research assistants.
- The Multimodal Music Research Lab is recruiting Ph.D. students, master's students, and intern/exchange students. Please contact us if interested.
- Yaolong Ju became an assistant professor at Great Bay University and founded the Multimodal Music Research Lab.
Meet the Team
Principal Investigator
Yaolong Ju
Principal Investigator
Tenure-track Assistant Professor at Great Bay University. His research focuses on music information retrieval, automatic music transcription, optical music recognition, and multimodal musical score retrieval.
PostDoc
Alexandre D'Hooge
PostDoc
Postdoctoral researcher with Dr. Yaolong Ju at Great Bay University. His work focuses on guitar tablature, music practice, composition, and machine learning.
PhD Students
Yizhao Peng
PhD Student
Research interests include music information retrieval, signal processing, computer vision, and AI for audio/music understanding.
Master Students
Chengshuai Liang
Master Student
My name is Chengshuai Liang. I recently completed my undergraduate studies and am currently a graduate student in Artificial Intelligence. My current research focuses on music classification, and I am interested in applying machine learning and AI techniques to music understanding and audio analysis.
Xinwei Jiang
Master Student
My research focuses on music information retrieval and multimodal intelligence, with interests in singing and music audio understanding, affective computing, and cross-modal representation learning.
Open Master Position
Master Student
To be announced.
Administrative Assistant
蔡芳婷
Administrative Assistant