Last Update: 11/04/2026

I am joining Télécom Paris as an Assistant Professor with the Audio Data Analysis and Signal Processing (ADASP) group at Laboratoire LTCI, starting in November 2026! Before that, I was a Senior Researcher on Spatial Audio and Multimodal AI at Dolby Laboratories. I obtained my PhD from the Audio Information Research Lab, University of Rochester, NY, USA. I was fortunate to work with Prof. Zhiyao Duan during my PhD. Take a look at my CV.

My research focuses on applied machine learning, particularly in speech and audio processing. My long-term vision is to build human-centric multimodal AI systems for audio, systems that understand, generate, and adapt speech and audio in ways that are both immersive and trustworthy. This spans spatial audio, audio-visual learning, and audio deepfake detection, sitting at the intersection of machine listening, multimodal learning, and generative modeling for audio. My research contributions have been showcased at prestigious venues such as ICASSP, WASPAA, Interspeech, SPL, TMM. I received recognition through the Rising Star Program in Signal Processing at IEEE ICASSP 2023, the Graduate Research Fellowship Program from National Institute of Justice, IEEE Signal Processing Society Scholarship, and IEEE WASPAA Best Student Paper Award.

I am open to collaborations. I will be recruiting PhD students starting Fall 2027. Feel free to reach out at you.zhang@ieee.org if you’re interested!

Research Areas

Spatial Audio

Personalized HRTF modeling with neural fields and perception-informed learning.

Key paper: WASPAA 2025 →

Audio Deepfake Detection

Generalizing detection of synthetic speech and singing voices to unseen attacks.

Key paper: SPL 2021 →

Audio-Visual Learning

Multimodal models linking sound and vision, such as speech-driven talking faces.

Key paper: TMM 2022 →

News

More archived news.

Selected Publications

(For full list, see my Google Scholar profile or my Publications page.)

[4] You Zhang, Andrew Francl, Ruohan Gao, Paul Calamia, Zhiyao Duan, and Ishwarya Ananthabhotla, Towards Perception-Informed Latent HRTF Representations, in Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2025. DOI arXiv video slides poster notebookLM Best Student Paper Award, IEEE WASPAA 2025

[3] You Zhang, Yongyi Zang, Jiatong Shi, Ryuichi Yamamoto, Tomoki Toda, and Zhiyao Duan, SVDD 2024: The Inaugural Singing Voice Deepfake Detection Challenge, in Proc. IEEE Spoken Language Technology Workshop (SLT), 2024. DOI arXiv code illuminate webpage

[2] You Zhang, Yuxiang Wang, and Zhiyao Duan, HRTF Field: Unifying Measured HRTF Magnitude Representation with Neural Fields, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. DOI arXiv code video illuminate Recognized as one of the top 3% of all papers accepted at IEEE ICASSP 2023

[1] You Zhang, Fei Jiang, and Zhiyao Duan, One-Class Learning Towards Synthetic Voice Spoofing Detection, IEEE Signal Processing Letters, vol. 28, pp. 937-941, 2021. DOI arXiv code video poster slides project illuminate

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