Selected for AAAI New Faculty Highlights; paper “REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing” accepted by NeurIPS 2025; organizing AI for Music Workshop at NeurIPS 2025; paper “Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset” accepted by ISMIR 2025; paper “Video-Guided Text-to-Music Generation Using Public Domain Movie Collections” accepted by ISMIR 2025; paper “TeaserGen: Generating Teasers for Long Documentaries” accepted by ICLR 2025; paper “ViolinDiff: Enhancing Expressive Violin Synthesis with Pitch Bend Conditioning” accepted by ICASSP 2025; awarded Doctoral Award for Excellence in Research by UCSD CSE Department, etc.
Research Experience
Develops generative models for music creation; builds AI-assisted music creation tools; develops multimodal generative models for content creation.
Education
Insufficient information
Background
Assistant Professor in the Department of Performing Arts Technology at the University of Michigan. Research interests include music generation, music technology, audio synthesis, video editing, and multimodal AI. The long-term goal is to make professional content creation accessible to everyone.