3rd Place at AI Song Contest 2022

I am a first year PHD student of computer science at the University of Montreal and Mila. I am fortunate to be co-advised by Prof. Aaron Courville and Prof. Chengzhi Anna Huang. My research direction for PhD is on interactive music generative models and creative generative models. I am also interested in multi-modality learning with music and audio. I am a percussion player, and I used to play timpani in the orchestra. I will also play guitar and harmonica in my spare time.
3rd Place at AI Song Contest 2022
Hierarchical Music Generation with Detailed Control
Automatic Audio Captioning with Transformer
Automatic Audio Captioning with Transformer
Expressive Peking Opera Synthesis
Chinese Guqin Dataset
Mila, University of Montreal
CS PhD - -
Work on interactive music generative models and creative generative models.
Mila, University of Montreal
CS Research Master - -
Work on music generation.
Tencent AI Lab
Research Intern - -
Working on singing voice synthesis.
Beijing University of Posts and Telecommunications
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Received Bachelor of Engineer in Automation. Doing research advised by Prof. Shengchen Li.
Hierarchical Music Generation with Detailed Control
Code | Blog | Colab Notebook | Huggingface Space | Command-line MIDI Synthesis
Automatic Audio Captioning with Transformer
Chinese Guqin Dataset
Collect and construct a symbolic music dataset of Chinese Guqin Dataset. Dataset is also used for proposing a statistical approach to distinguishing different music genre.
3rd Place at AI Song Contest 2022
Together with Yuxuan Wu and Yi Deng, we created a song about the growth of the AI model from its own perspective using music generation models. The song was ranked 3rd in the contest. To learn more about the song, please visit here.