Ethan Sheng Lyu

About Me

This is Ethan Lyu, a PhD Candidate at Department of Computer Science, School of Computing and Data Science, the University of Hong Kong (HKU), under supervision of Prof. Chenshu Wu. Previously, I got my BSc. from Nanjing University.

I conduct human-centeric research, including sensing, computing, health and security. My ultimate research goal is to build scalable, reliable and efficient multi-modal computing systems, with advanced data representations and sensing abilities, extendable computing capabilities on heterogeneous devices, and balanced communication workload. In other words, my work lies in the intersection of embodied AI, wireless networking, HCI and systems.

During my PhD, I leverage acoustic as a medium to communicate with and sense the physical world. Specifically, I interpret acoustic in various means and demonstrate its power:

• Acoustic as a field: The acoustic wave reflects, refracts, diffracts, and interferes with the environment, which constitutes the acoustic field. The acoustic field articulates how sound propagates in the space. How can we model the indoor acoustic field and bridge that with the acoustic channel response? How can we employ the acoustic field for human-centered computing? Furthermore, can we leverage the acoustic field for localization and mapping?
• Acoustic as a media: Sound naturally comes with other media, such as video and image. And it appears in modern video streaming systems, including conferencing systems, video-on-demand systems, and live streaming systems. How can we make use of the acoustic / speech information for various applications, including cardiac monitoring, fall detection, and affective computing? How can we enhance the acoustic effect in scenarios like AR/VR? Additionally, how can we benefit from multi-modal information to improve the performance of the system?
• Acoustic as the vibration: Vibration is the mechanical analog of sound. It is the vibration that makes the sound, which is everywhere in our daily life. How can we model the vibration to benefit the low-power sensing and communication systems? What vibration information can we extract from the ubiquitous mobile devices and environments?

Publications

Services

Artifact Evaluation Committee

• MobiCom'23
• ATC'23
• OSDI'23

Invited Reviewer

• ACM Transactions on Internet of Things
• ACM Transactions on Sensor Networks

Shadow Program Committee

• CoNext'25

Teaching

• COMP3516: Data analytics for IoT, 2024(S), 2025(S)
• COMP7310: Artificial intelligence of things, 2022(F)

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