Towards Intelligent Communication and Sensing Systems with Wireless Understanding

The Hong Kong University of Science and Technology
Department of Computer Science and Engineering


PhD Thesis Defence


Title: "Towards Intelligent Communication and Sensing Systems with Wireless 
Understanding"

By

Mr. Qingyong HU


Abstract:

Wireless signals form the backbone of modern communication and sensing 
systems, and recent advances driven by artificial intelligence (AI) have 
revolutionized applications ranging from 5G networks to smart healthcare. 
However, the development of intelligent wireless systems is hindered by 
three key challenges: (i) the gap between AI models and the unique spectral 
and hardware constraints of wireless systems, (ii) the difficulty of 
uncovering fine-grained features from complex signal variations, and (iii) 
the inherent instability across diverse domains. This thesis investigates 
these challenges and proposes four research attempts. The first two attempts 
develop spatial-temporal models that incorporate the unique spectral leakage 
characteristics of wireless signals as priors. The third attempt designs a 
hybrid AI pipeline and maps the complex signal distortions into blood 
pressure variations for contactless healthcare monitoring. The final 
contribution enhances the robustness of sensing applications by introducing 
a contrastive adaptation training scheme and leveraging complementary 
synergy from multiple modalities.


Date:                   Friday, 15 August 2025

Time:                   2:00pm - 4:00pm

Venue:                  Room 3494
                        Lifts 25/26

Chairman:               Dr. Shenghui SONG (ISD)

Committee Members:      Prof. Qian ZHANG (Supervisor)
                        Prof. Gary CHAN
                        Dr. Xiaomin OUYANG
                        Dr. Qijia SHAO (ISD)
                        Dr. Zhenjiang LI (CityU)