Running Zhao

PhD student, The University of Hong Kong (HKU)
Email / Google Scholar / GitHub / Twitter / LinkedIn

I am a fourth-year PhD student in the Department of Electrical and Electronic Engineering at The University of Hong Kong, advised by Prof. Edith C.H. Ngai. Previously, I was fortunate to work with Prof. Hang Zhao at IIIS, Tsinghua University and Shanghai Qi Zhi Institute. My research interests include human-computer interaction (HCI), wireless sensing, and multimodal learning, with a particular emphasis on using different modalities or sensors to investigate applications for HCI and healthcare.

Publications

  • Selected
  • All
DietGlance: Dietary Monitoring and Personalized Analysis at a Glance with Knowledge-Empowered AI Assistant
Zhihan Jiang, Running Zhao, Lin Lin, Yue Yu, Handi Chen, Xinchen Zhang, Xuhai “Orson” Xu, Yifang Wang, Xiaojuan Ma, and Edith C.H. Ngai
arXiv:2502.01317
arXiv
USpeech: Ultrasound-Enhanced Speech with Minimal Human Effort via Cross-Modal Synthesis
JiangTao Yu, Running Zhao, Sijie Ji, Edith C.H. Ngai, and Chenshu Wu
arXiv:2410.22076
Website / arXiv / Code
Radio2Text: Streaming Speech Recognition Using mmWave Radio Signals
Running Zhao, Jiangtao Yu, Hang Zhao, and Edith C.H. Ngai
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2023)
arXiv / Media Coverage
Radio2Speech: High Quality Speech Recovery from Radio Frequency Signals
Running Zhao, Jiangtao Yu, Tingle Li, Hang Zhao, and Edith C.H. Ngai
INTERSPEECH 2022
Website / arXiv / Code / Media Coverage
An End-to-End Network for Continuous Human Motion Recognition via Radar Radios
Running Zhao, Xiaolin Ma, Xinhua Liu, and Jian Liu
IEEE Sensors Journal, vol. 21, no. 5, pp. 6487-6496, Mar. 2021
Paper
Continuous Human Motion Recognition Using Micro-Doppler Signatures in the Scenario with Micro Motion Interference
Running Zhao, Xiaolin Ma, Xinhua Liu, and Fangmin Li
IEEE Sensors Journal, vol. 21, no. 4, pp. 5022-5034, Feb. 2021
Paper
DietGlance: Dietary Monitoring and Personalized Analysis at a Glance with Knowledge-Empowered AI Assistant
Zhihan Jiang, Running Zhao, Lin Lin, Yue Yu, Handi Chen, Xinchen Zhang, Xuhai “Orson” Xu, Yifang Wang, Xiaojuan Ma, and Edith C.H. Ngai
arXiv:2502.01317
arXiv
USpeech: Ultrasound-Enhanced Speech with Minimal Human Effort via Cross-Modal Synthesis
JiangTao Yu, Running Zhao, Sijie Ji, Edith C.H. Ngai, and Chenshu Wu
arXiv:2410.22076
Website / arXiv / Code
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
Xinchen Zhang, Running Zhao, Zhihan Jiang, Handi Chen, Yulong Ding, Edith C.H. Ngai, and Shuang-Hua Yang
IEEE International Conference on Computer Communications (IEEE INFOCOM 2025)
arXiv / Code
Explainable framework to detect Parkinson's disease related depression from EEG
Luyao Jin, Running Zhao, Junyi Cao, Vincent C. K. Cheung, and Wei-Hsin Liao
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2024)
Paper
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan Jiang, and Edith C.H. Ngai
International Conference on Learning Representations (ICLR 2024)
arXiv / Code
AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection
Xinchen Zhang, Running Zhao, Zhihan Jiang, Zhicong Sun, Yulong Ding, Edith C.H. Ngai, and Shuang-Hua Yang
IEEE International Conference on Computer Communications (IEEE INFOCOM 2024)
arXiv / Code
Radio2Text: Streaming Speech Recognition Using mmWave Radio Signals
Running Zhao, Jiangtao Yu, Hang Zhao, and Edith C.H. Ngai
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2023)
arXiv / Media Coverage
HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data
Zhihan Jiang, Handi Chen, Rui Zhou, Jing Deng, Xinchen Zhang, Running Zhao, Cong Xie, Yifang Wang, and Edith C.H. Ngai
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2023)
arXiv / Demo
Human Activity Recognition From Motion and Acoustic Sensors Using Contrastive Learning
Rui Zhou, Running Zhao, and Edith C.H. Ngai
IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023)
Paper
A Data-Driven Context-Aware Health Inference System for Children during School Closures
Zhihan Jiang, Lin Lin, Xinchen Zhang, Jianduo Luan, Running Zhao, Longbiao Chen, James Lam, Ka-Man Yip, Hung-Kwan So, Wilfred HS Wong, Patrick Ip, and Edith C.H. Ngai
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2023)
Paper
Radio2Speech: High Quality Speech Recovery from Radio Frequency Signals
Running Zhao, Jiangtao Yu, Tingle Li, Hang Zhao, and Edith C.H. Ngai
INTERSPEECH 2022
Website / arXiv / Code / Media Coverage
An End-to-End Network for Continuous Human Motion Recognition via Radar Radios
Running Zhao, Xiaolin Ma, Xinhua Liu, and Jian Liu
IEEE Sensors Journal, vol. 21, no. 5, pp. 6487-6496, Mar. 2021
Paper
Continuous Human Motion Recognition Using Micro-Doppler Signatures in the Scenario with Micro Motion Interference
Running Zhao, Xiaolin Ma, Xinhua Liu, and Fangmin Li
IEEE Sensors Journal, vol. 21, no. 4, pp. 5022-5034, Feb. 2021
Paper

Research Experience

  • IIIS, Tsinghua University & Shanghai Qi Zhi Institute
    Beijing & Shanghai
    Research Intern, Working with Prof. Hang Zhao
    Apr. 2022 - Sep. 2022
  • Shanghai Qi Zhi Institute
    Shanghai
    Research Intern, Working with Prof. Hang Zhao
    Jun. 2021 - Aug. 2021

    • Service

    Reviewer for ACM CHI 2025, ACM HRI 2025, ACM UIST 2024, ACM IMWUT/UbiComp 2023-2024, IWQoS 2024, IEEE Transactions on Mobile Computing, IEEE Transactions on Industrial Informatics, IEEE Sensors Journal

    Contact

    I'm open to discussion or collaboration. Feel free to drop me an email (rnzhao [AT] connect。hku。hk) if you're interested in my research areas.
    © Thanks to Nicklas Hansen for the website template.