Resources

Content

• Proposals
• Statements
• Toolkits
• Datasets
• Rejections

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Job Search Material

Here is the application package for my job search in 2023 (for Fall 2024 positions).

• CV
• Research Statement
• Teaching Statement
• EDI Statement

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Proposals

• Deep Musician: Multi-instrument Music Composition and Performance Synthesis using Deep Learning – Research Proposal for Taiwan’s Government Scholarship to Study Abroad
  abstract  proposal (Chinese)

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Statements

• Research Statement for Rising Stars in Data Science (2023)
  statement

• Statement for Friends of International Center Fellowship (2023)
  statement

• Research Statement for ICASSP Rising Stars in Signal Processing (2023)
  statement

• Research Statement for UCSD GPSA Interdisciplinary Research Award (2023)
  statement

• Statement of Purpose for PhD transfer to the CSE program at UC San Diego (2020)
  statement

• Statement of Purpose for PhD application to the ECE program at UC San Diego (2019)
  statement

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Toolkits

• MusPy — A Toolkit for Symbolic Music Generation
  code  documentation  PYPI

• PyPianoroll — A Python package for handling multitrack pianorolls
  code  documentation  PYPI

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Datasets

• Bach Violin Dataset — A collection of high-quality public recordings of Bach’s sonatas and partitas for solo violin (BWV 1001–1006)
  homepage

• Lakh Pianoroll Dataset (LPD) — A collection of 174,154 multitrack pianorolls derived from the MIDI files in Lakh MIDI Dataset
  homepage

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Rejections

• CLIPSynth: Learning Text-to-audio Synthesis from Videos using CLIP and Diffusion Models
  Hao-Wen Dong, Gunnar A. Sigurdsson, Chenyang Tao, Jiun-Yu Kao, Yu-Hsiang Lin, Anjali Narayan-Chen, Arpit Gupta, Tagyoung Chung, Jing Huang, Nanyun Peng, and Wenbo Zhao
  CVPR Workshop on Sight and Sound (WSS), 2023
  paper  demo  video  slides

  • Rejected by MMSP (2023)  reviews
  • Rejected by ICML (2023)  reviews

• Multitrack Music Transformer
  Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian McAuley, and Taylor Berg-Kirkpatrick
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
  paper  demo  video  slides  code  reviews

  • Rejected by ISMIR (2022)  reviews

• On Output Activation Functions for Adversarial Losses: A Theoretical Analysis via Variational Divergence Minimization and An Empirical Study on MNIST Classification
  Hao-Wen Dong and Yi-Hsuan Yang
  arXiv preprint arXiv:1901.08753, 2019
  paper  demo  code

  • Rejected by JMLR (2022)  reviews
  • Rejected by IJCV (2019)  reviews
  • Rejected by ICML (2018)  reviews

• Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation
  Hao-Wen Dong and Yi-Hsuan Yang
  arXiv preprint arXiv:1810.04714, 2018
  paper  demo  slides  code

  • Rejected by ICMLA (2018)  reviews