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Hao-Wen Dong is an Assistant Professor in the Department of Performing Arts Technology at the University of Michigan. His research aims to augment human creativity with machine learning, focusing on developing human-centered generative AI technology that integrates into professional creative workflows. Dong's long-term goal is to make professional content creation accessible to everyone. His research interests include music generation, music technology, audio synthesis, video editing, and multimodal AI. He is particularly focused on generative models for music creation and the adoption of deep neural networks for generating multi-instrument music. Dong's work encompasses various topics such as multitrack music generation, text-to-music generation, video-to-music generation, and the development of AI-assisted tools for music creation. He is interested in multimodal generative AI that enhances human-AI co-creation in music, audio, and video.
NVIDIA • Remote
Worked at the Deep Imagination Research Group focusing on controllable audio generation.
Adobe • Remote
Part of the Audio Research Group, concentrating on text-to-audio retrieval.
Dolby • Remote
Focused on text-to-audio synthesis.
Amazon • Remote
Worked in the Natural Understanding Team concentrating on Alexa AI.
Sony • Tokyo
Engaged in universal sound separation at the Tokyo Laboratory.
Academia Sinica • Taipei
Contributed to music generation deep generative models research.
Department of Electrical Engineering and Computer Science