Yuhang He(Henry) 
Yuhang He(Henry)
I am a DPhil in Computer Science Department (opens new window), University of Oxford (opens new window), and a member of St Hugh's (opens new window) college. I am co-advised by Prof. Andrew Markham (opens new window) and Prof. Niki Trigoni (opens new window).
Prior to Oxford, I worked as research scientist at Malong Technologies, self-driving engineer at Baidu Institute of Deep Learning (IDL). I received B.Eng. from Wuhan University (opens new window), China.
My research interest cuts across the boundary of theoretical and practical guided research. Specifically, I am interested in audio signal processing, filter bank design, audio-vision cross-modality learning and embodied robotics.
Drop me an email (yuhang.he[at]cs.ox.ac.uk) if you want to contact. I write blogs as part of my research notes, you are welcome to support a cup of coffee (opens new window) if you find them helpful.
Interests
- Acoustic Neural Rendering
- Audio-Vision Joint Perception
- Embodied Robotics
- AI for Science
Education
- Ph.D. in Computer ScienceUniversity of Oxford
- B.Eng. in Remote Sensing and PhotogrammetryWuhan University
# News
- Received Interspeech 2022 (opens new window) travel grant. 2022.07;
- Paper accepted by Interspeech 2022 (opens new window). 2022.06;
- Gave a talk at Oxford Computer Science Conference 2022. 2022.06;
- Worked as ICML21 student volunteer. 2021.06;
- Paper accepted by ICML2021 (opens new window). 2021.05;
- Completed transfer viva by examiners Prof. Tam Vu (opens new window) and Prof. Alex Rogers (opens new window). 2021.01;
# Publications
For full publication list, please refer to Google Scholar (opens new window) or → Full list
SoundDoA: Learn Sound Source Direction of Arrival and Semantics from Sound Raw Waveforms
Yuhang He, Andrew Markham
Interspeech, 2022.
We propose a novel sound event direction of arrival (DoA) estimation framework with a novel filter bank to jointly learn sound event semantics and spatial location relevant representations.
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform
Yuhang He, Niki Trigoni, Andrew Markham
International Conference on Machine Learning (ICML), 2021.
We propose a novel sound event detection framework for polyphonic and moving sound event detection. We also propose novel object-based evaluation metrics to evaluate performance more objectively.
# PUBLIC OFFICE HOURS
I am always happy to chat with people who are interested in my work. You can check the following office hour I keep update to book a time slot if you want to chat.