I am a PhD student at the College of Computer Science and Technology, Zhejiang University (浙江大学计算机学院).

I am now working on the Audio Research Team at Zhejiang University, under the supervision of Prof. Zhou Zhao (赵洲). My current research focuses on spatial audio generation based on multi-modal prompts.

I graduated from Chu Kochen Honors College, Zhejiang University (浙江大学竺可桢学院), with dual bachelor's degrees in Computer Science and Automation.
I also worked as a visiting scholar at University of Massachusetts Amherst, collaborating with Prof. Przemyslaw Grabowicz.

My research interests primarily focus on Multi-Modal Generative AI, specifically in Singing and Music Synthesis, and Spatial Audio Generation. I have published first-author papers at top international AI conferences, including NeurIPS, AAAI, and EMNLP.

I am actively seeking postdoctoral positions and research collaborations. Please feel free to contact me via email at [email protected].

• Personal Pages: https://aaronz345.github.io (updated recently🔥)
• Linkedin: www.linkedin.com/in/yuzhang34
• Google Scholar: https://scholar.google.com/citations?user=kA9A6LsAAAAJ
• DBLP: https://dblp.org/pid/50/671-126.html

• NeurIPS 2024 Spotlight GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks, Yu Zhang, Changhao Pan, Wenxinag Guo, et al.
• EMNLP 2024 TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control, Yu Zhang, Ziyue Jiang, Ruiqi Li, et al.
• AAAI 2024 StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis, Yu Zhang, Rongjie Huang, Ruiqi Li, et al.
• AAAI 2025 TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching, Wenxiang Guo, Yu Zhang, Changhao Pan, et al.
• ACL 2024 Robust Singing Voice Transcription Serves Synthesis, Ruiqi Li, Yu Zhang, Yongqi Wang, et al.