Resume
Academic Achievements
- 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.
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.
Miscellany
- Personal interests not mentioned