CV

Education

• B.S. in Physics, The University of Hong Kong, 2014
• M.Phil in Mechanical Engineering, The University of Hong Kong, 2016
• Ph.D in Computer Science, Singapore University of Technology and Design, 2023 (expected)

Work experience

• June 2022 - Dec 2022: Research Intern
  • Sony, Tokyo, Japan
• Sep 2021 - Mar 2022: Research Intern
  • Bytedance SAMI, Mountain View, USA
• Mar 2021 - Aug 2021: Research Intern
  • Bytedance AI Lab, Singapore
• Dec 2020 - Feb 2021: Research Intern
  • Academia Sinica, Taiwan
• Jan 2018 - Jan 2019: Research Assistant
  • Singapore University of Technology and Design
• Sep 2016 - Dec 2017: Project Leader (Hong Kong branch)
  • Sp Sysnet, Hong Kong

Skills

• Audio Recording
• Computer Programming
  • Python
    • PyTorch
    • Hydra
    • PyTorch Lightning
    • Tensorflow
  • Matlab
  • Microsoft Visual Basic 6.0
• SMD Soldering

Selected Publications

Latent Space Representation for Multi-Target Speaker Detection and Identification with a Sparse Dataset Using Triplet Neural Networks

nnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks

The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy

Revisiting the Onsets and Frames Model with Additive Attention

ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data

Music Demixing Challenge 2021

Service and leadership

• Currently a reviewer for major IEEE conferences, International Society for Music Information Retrieval (ISMIR), and Conference on AI Music Creativity (AIMC).