Yuhang He(Henry)

Ph.D. in Machine Learning
Department of Computer Science, University of Oxford

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] 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.


  • Acoustic Neural Rendering
  • Audio-Vision Joint Perception
  • Embodied Robotics
  • AI for Science


  • Ph.D. in Computer Science
    University of Oxford
  • B.Eng. in Remote Sensing and Photogrammetry
    Wuhan University

# News

# Publications

For full publication list, please refer to Google Scholar (opens new window) or → Full list

Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space

Yuhang He, Irving Fang, Yiming Li, Rushi Bhavesh Shah, Chen Feng.

Robotics: Science and Systems (RSS), 2023.

We propose metric-free DeepExplorer to efficiently construct topological map to represent an environment. DeepExplorers exhibits strong sim2sim and sim2real generalization capability.

SoundSynp: Sound Source Detection from Raw Waveforms with Multi-Scale Synperiodic Filterbanks

Yuhang He, Andrew Markham

International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.

We propose a novel framework to construct learnable sound signal processing filter banks that achieve multi-scale processing in both time and frequency domain.

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.


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.