Overview
Jiaxing Yu is a Ph.D. candidate in Design at Zhejiang University, specializing in music understanding, generation, and interaction, as well as emotional and spatial computing. His primary research focuses on the intersection of music and technology, aiming to enhance user experiences through intelligent music systems. He has published multiple high-impact papers in top international conferences and journals and has served as a reviewer for leading conferences and journals in the field. He has also received numerous national-level awards in design, computing, and innovation competitions.
Research Achievements
Papers:
[1] SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training. (AAAI, 2025)
[2] Poems as Musical Instruments: an AI Music Performance Interface Based on the Concepts of Chinese Qin Songs. (Leonardo, accepted on 2025)
[3] Generative Music Models Alignment with Professional and Amateur Users' Expectations. (ACL Findings, 2025)
[4] A Multimodal Interactive System for Autobiographical Memory: AI-Assisted Reflection and Expression. (CCAC, 2025)
[5] Suno: potential, prospects, and trends. (FITEE, 2024)
[6] Popular Hooks: A Multimodal Dataset of Musical Hooks for Music Understanding and Generation. (IEEE ICMEW, 2024)
[7] Pdaugment: Data augmentation by pitch and duration adjustments for automatic lyrics transcription. (ISMIR, 2021)
Awards:
[1] Architone - Music Learning App. (A' Design Award, 2025)
[2] Poem Qin - Mental Healing App. (A' Design Award, 2025)
[3] Art Easiest: A Cross-Media Generation Platform for Audio-Visual Integration. (Silver Award of China College Students' 'Internet+' Innovation and Entrepreneurship Competition, 2019)
[4] Art Easiest: A Cross-Media Generation Platform for Audio-Visual Integration. (The Most Innovative Award of China Collegiate Computing Contest Mobile Application Innovation Contest, 2019)
[5] WWDC Scholarship, 2019