Qingyong Hu
Postdoctoral Research Fellow
Hong Kong University of Science and Technology
I build low-burden sensing systems for everyday health monitoring, combining wireless sensing and multimodal learning.
Research Interests
About
I am a Postdoctoral Research Fellow in Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), working with Prof. Qian Zhang. I received my Ph.D. from HKUST in August 2025 and my B.Eng. in Computer Science and Technology from the School of the Gifted Young at the University of Science and Technology of China (USTC) in July 2020, advised by Prof. Wei Gong.
I build low-burden sensing systems for everyday health monitoring, combining wireless sensing and multimodal learning to assess movement, physiological signals, and cognitive health. My goal is to make healthcare more accessible through deployable, data-centric AIoT systems. Working with clinicians, I develop practical sensing systems, dedicated learning algorithms, and datasets that support evaluation in real-world settings.
My research agenda currently focuses on three thrusts:
- AIoT for Human-centric Sensing
- AI for IoT System Optimization
- Robust and Scalable Machine Learning
🎓 Appointment & Education
- Sep. 2025 - Present - Postdoctoral Research Fellow, CSE, HKUST
- Sep. 2020 - Aug. 2025 - Ph.D. in Computer Science and Engineering, HKUST
- Sep. 2015 - Jul. 2020 - B.Eng. in Computer Science and Technology, School of the Gifted Young, USTC
🏅 Selected Honors
- ACM SIGMOBILE China Doctoral Dissertation Award, 2026 (three selected nationwide)
- ACM MobiSys Rising Stars, 2026
- Best Paper Honorable Mention Award, CVPR SVC Workshop, 2026
- ACM IMWUT Distinguished Paper Award, 2025
- HKUST Research Travel Grant Award, 2023 and 2025
- IEEE INFOCOM Student Travel Grant, 2023
- HKUST Postgraduate Studentship, 2020-2025
- TAL Education Group Scholarship, 2019
Selected Publications
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The EasyCog Dataset: Towards Easier Cognitive Assessment with Passive Video Watching
Qingyong Hu*, Yuxuan Zhou*, Jinjian Wang, Yanbin Gong, Yizhen Zhang, Jingnan Sun, Jian Yao, Qijia Shao, Lili Qiu, Qian Zhang†, Guihua Li†
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 2026
mmTremor: Practical Tremor Monitoring for Parkinson's Disease and Essential Tremor in Daily Life
Qingyong Hu*, Yuxuan Zhou*, Jinjian Wang, Zirui Huang, Guihua Li, Qianhui Xu, Qian Zhang
Proceedings of the ACM International Conference on Mobile Computing and Networking (MobiCom) 2025
PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-vehicle Driver Monitoring
Jiyao Wang*, Xiao Yang*, Qingyong Hu*, Jiankai Tang, Can Liu, Dengbo He, Yuntao Wang, Yingcong Chen, Kaishun Wu
Advances in Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track 2025
Contactless Arterial Blood Pressure Waveform Monitoring with mmWave Radar
Qingyong Hu, Qian Zhang, Hao Lu, Shun Wu, Yuxuan Zhou, Qianyi Huang, Huangxun Chen, Yingcong Chen, Ni Zhao
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 2024
Distinguished Paper Award (Top 1%)
CSI-StripeFormer: Exploiting Stripe Features for CSI Compression in Massive MIMO Systems
Qingyong Hu, Hua Kang, Huangxun Chen, Qianyi Huang, Qian Zhang, Min Cheng
IEEE Conference on Computer Communications (INFOCOM) 2023
News
Honored to receive the ACM SIGMOBILE CHINA Doctoral Dissertation Award (one of three nationwide)!
mmBrady accepted to ACM IMWUT 2026. Congrats to Jinjian! It is the first practical daily-life bradykinesia monitoring system.
RPM-Distill accepted to ECCV 2026 as a Spotlight paper. Congrats to Jiyao!
Selected for an oral presentation at the ACM MobiSys Rising Stars Forum: Beyond the Clinic: Multimodal Sensing Systems for Practical Healthcare.
PIGDAssess accepted to ACM IMWUT 2026. Congrats to Yizhen for her hard work!
EasyCog accepted to ACM IMWUT 2026. It builds the first multi-modal dataset for low-burden cognitive assessment.
Honored to present mmTremor in MobiCom'25.
Honored to receive the ACM IMWUT Distinguished Paper Award for WaveBP in UbiComp25.
Started my post-doctoral research fellow position at HKUST CSE.
PhysDrive accepted to NeurIPS 2025 Datasets & Benchmarks Track for the first large-scale multimodal dataset for in-vehicle contactless sensing.
Successfully defended my Ph.D. thesis. Thank you to everyone who supported this journey!
PracticalBP accepted to ACM IMWUT 2025 for single-record cuffless blood pressure calibration.
Period-LLM accepted to CVPR 2025 for enhancing LLM with periodic reasoning.
mmTremor accepted to ACM MobiCom 2025 for practical tremor monitoring in daily life.
CS3T-UNet accepted to IEEE INFOCOM 2024.
WaveBP accepted to ACM IMWUT 2024 for the first contactless arterial blood pressure waveform monitoring.
CSI-StripeFormer accepted to IEEE INFOCOM 2023.