About
Hi! I am a Post-doctoral Research Fellow in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST) under the guidance of Prof. Qian Zhang, where I received my PhD degree in 2025 August. I obtained my bachelor's degree from the School of the Gifted Young at University of Science and Technology (USTC), majoring in Computer Science and advised by Prof. Wei Gong.
My research lies at the intersection of Artificial Intelligence of Things (AIoT), ubiquitous sensing, and deep learning, with the goal of building efficient, robust, and intelligent systems for smart healthcare and wireless applications. I have recently received the ACM IMWUT Distinguished Paper Award (2025) for our work on contactless arterial blood pressure waveform monitoring.
My research agenda currently focuses on three thrusts:
- AIoT for Humam-centric Sensing
- AI for IoT System Optimization
- Robust and Scalable Machine Learning
๐ Appointment & Education
- 2025 Sep. - Now - Post-doctoral Research Fellow, CSE, HKUST
- 2020 Sep. - 2025 Aug. - Ph.D. in CSE, HKUST
- 2015 Sep. - 2020 June - B.Eng. in CS, School of the Gifted Young, USTC
๐ Selected Honors
- ACM IMWUT Distinguished Paper Award, 2025
- HKUST Research Travel Grant, 2025
- IEEE INFOCOM Student Travel Grant, 2023
- HKUST Research Travel Grant, 2023
- HKUST Postgraduate Scholarship, 2020-2025
- TAL Education Group Scholarship, 2019
Selected Publications
View All โThe EasyCog Dataset: Towards Easier Cognitive Assessment with Passive Video Watching
Qingyong Huโ , Yuxuan Zhouโ , Jinjian Wang, Yanbin Gong, Yizhen Zhang, Jingnan Sun, Jian Yao, Qijia Shao, Lili Qiu, Guihua Li, Qian Zhang
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Acceptance rate=25.0% (CCF-A), * indicates equal contribution
mmTremor: Practical Tremor Monitoring for Parkinson's Disease and Essential Tremor in Daily Life
Qingyong Huโ , Yuxuan Zhouโ , Jinjian Wang, Zirui Huang, Guihua Li, Qianhui Xu, Qian Zhang
Proceedings of the ACM International Conference on Mobile Computing and Networking (MobiCom)
Acceptance rate=13.1% (CCF-A), * indicates equal contribution
PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-vehicle Driver Monitoring
Jiyao Wangโ , Xiao Yangโ , Qingyong Huโ , Jiankai Tang, Can Liu, Dengbo He, Yuntao Wang, Yingcong Chen, Kaishun Wu
Advances in Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track
Acceptance rate 24.9% (CCF-A), * indicates equal contribution
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)
๐ Distinguished Paper Award (Top 1%), Top conference in Ubiquitous Computing, CCF-A
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)
Top conference in Wireless Communications, CCF-A
News
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 passed the PhD defense with many gratitude to everyone!!!
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.