Hao-Wen Dong

According to our database, Hao-Wen Dong authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generative AI for Music and Audio

Hao-Wen Dong

PhD thesis, 2024

Broadband topology optimization of three-dimensional structural-acoustic interaction with reduced order isogeometric FEM/BEM.

Leilei Chen, Haojie Lian, Hao-Wen Dong, Peng Yu, Shujie Jiang, Stéphane P. A. Bordas

J. Comput. Phys., 2024

TeaserGen: Generating Teasers for Long Documentaries.

Weihan Xu, Paul Pu Liang, Haven Kim, Julian J. McAuley, Taylor Berg-Kirkpatrick, Hao-Wen Dong

CoRR, 2024

Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset.

Weihan Xu, Julian J. McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Hao-Wen Dong

CoRR, 2024

ViolinDiff: Enhancing Expressive Violin Synthesis with Pitch Bend Conditioning.

Daewoong Kim, Hao-Wen Dong, Dasaem Jeong

CoRR, 2024

Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio Generation.

Jiwoo Ryu, Hao-Wen Dong, Jongmin Jung, Dasaem Jeong

CoRR, 2024

Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation.

Junda Wu, Zachary Novack, Amit Namburi, Jiaheng Dai, Hao-Wen Dong, Zhouhang Xie, Carol Chen, Julian J. McAuley

CoRR, 2024

2023

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models.

Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos.

Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multitrack Music Transformer.

Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick

Proceedings of the IEEE International Conference on Acoustics, 2023

Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls.

Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments.

Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick

CoRR, 2022

Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments.

Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Deep Performer: Score-to-Audio Music Performance Synthesis.

Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Bach Violin Dataset.

Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley

Dataset, October, 2021

An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition.

Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music.

Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020

Automatic Melody Harmonization with Triad Chords: A Comparative Study.

Yin-Cheng Yeh, Wen-Yi Hsiao, Satoru Fukayama, Tetsuro Kitahara, Benjamin Genchel, Hao-Min Liu, Hao-Wen Dong, Yian Chen, Terence Leong, Yi-Hsuan Yang

CoRR, 2020

MusPy: A Toolkit for Symbolic Music Generation.

Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

Towards a Deeper Understanding of Adversarial Losses.

Hao-Wen Dong, Yi-Hsuan Yang

CoRR, 2019

2018

Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation.

Hao-Wen Dong, Yi-Hsuan Yang

CoRR, 2018

Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation.

Hao-Wen Dong, Yi-Hsuan Yang

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment.

Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, Yi-Hsuan Yang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks.

Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, Yi-Hsuan Yang

CoRR, 2017