Haokun Tian

PhD student in AI & Music CDT
haokun.tian@qmul.ac.uk
Communication Acoustics Lab, Center for Digital Music
Queen Mary University of London, UK

About

I am working with Dr Charalampos Saitis and Dr Stefan Lattner on music/timbre representations, neural audio synthesis, and creative AI tools for music. Previously I received my Master's degree in Music Technology at NYU and I was a research intern at Xiaohongshu (RedNote).

Publications

  1. Beat and Downbeat Tracking with Generative Embeddings <pdf, code>
    Haokun Tian, Kun Liu, and Magdalena Fuentes
    Late Breaking Demo in the International Society for Music Information Retrieval Conference (ISMIR), 2023

  2. Timbre Tools: Ethnographic Perspectives on Timbre and Sonic Cultures in Hackathon Designs <pdf>
    Charalampos Saitis, Bleiz Macsen Del Sette, Jordie Shier, Haokun Tian, Shuoyang Zheng, Sophie Skach, Courtney N. Reed, Corey Ford
    International Audio Mostly Conference, 2024

  3. Hybrid Losses for Hierarchical Embedding Learning <arxiv, code>
    Haokun Tian, Stefan Lattner, Brian McFee, Charalampos Saitis
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

MaxMSP-MCP Server

w/ Shuoyang Zheng
Enabling LLMs to directly understand and generate Max patches.
<code, video>