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

  • One paper was accepted to ICASSP 2026.
  • Dr. Yaolong Ju presented "Multimedia Music Transcription and its Applications" at 2025 年全国语音、听觉与音乐声学大会.
  • Multiple research positions are open for postdoctoral researchers, senior researchers, research assistants, and students. Please contact us if interested.
  • The Multimodal Music Research Lab is recruiting Ph.D. students, master students, and intern/exchange students.
  • Dr. Yaolong Ju joined Great Bay University as a tenure-track assistant professor and founded the MMR Lab.

Meet the Team

Principal Investigator

Yaolong Ju

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

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

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

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