Weiying Hou

Hi, I’m a current Ph.D. candidate at AIoT Lab, The University of Hong Kong (HKU), supervised by Prof. Chenshu Wu. I began my Ph.D. journey in Fall 2021, after receiving my B.E. degree in Computer Science from Beijing University of Posts and Telecommunications (BUPT).

My research interests center on Wireless Sensing and AIoT, with a specific focus on making Wi-Fi sensing more ubiquitous and robust. I am currently working on boosting the sensing capabilities of Wi-Fi via deep learning, metamaterials, and multi-modal fusion to enable transformative applications in smart IoT sensing, AI for Health, and Low-Altitude Economy (e.g., drone-based sensing). My goal is to bridge the gap between theoretical wireless signals and practical, life-enhancing applications.

Education

Ph.D. Candidate in Computer Science

The University of Hong Kong
Sept. 2021 - Present

Department of Computer Science, Supervised by Prof. Chenshu Wu

B.E. in Computer Science

Beijing University of Posts and Telecommunications (BUPT)
Sept. 2017 - June 2021

Publications

[Google Scholar]

OctoNet
NeurIPS 2025 (Datasets and Benchmarks Track)

OctoNet: A Large-Scale Multi-Modal Dataset for Human Activity Understanding Grounded in Motion-Captured 3D Pose Labels

Dongsheng Yuan, Xie Zhang, Weiying Hou, Sheng Lyu, Luca Jiang-Tao Yu, Yuemin Yu, Chengxiao Li, Chenshu Wu

VeCare
NSDI 2023

VeCare: Statistical Acoustic Sensing for Automotive InCabin Monitoring

Yi Zhang, Weiying Hou, Yang Zheng, Chenshu Wu

Awards & Honors

  • 2026-01, Best Student Presentation at the Second Low-Altitude Summit held in Hong Kong.
  • 2024-10, Gary Marsden Travel Awards (UbiComp/ISWC 2024, Melbourne, Australia).
  • 2021-09, HKU Postgraduate Scholarship.
  • 2021-06, BUPT Outstanding Graduates.

Community Services

  • Reviewer: TMC, IMWUT 2025.
  • Artifact Reviewer: Mobicom 2023, OSDI/ATC 2023.

Teaching Experience

  • Year 2021-2024. Operating System (COMP3230A). Professor: Prof. Chenshu Wu
    I maintained and curated HKU COMP3230’s tutorial labs from 2021 to 2024 (Repo). I built hands-on tutorials and mini-labs on C basics, signals, virtual memory, processes, Pthreads, and semaphores, turning theory into “it finally works!” moments.

    Now I’m proudly passing the torch to LLMs. May they grade fairly, debug patiently, and may their segmentation never fault. Thanks, Mr. Gs (GPT, Gemini, Grok, and Claude)!