About me
I am currently a Postdoctoral Researcher in the Department of Information Engineering at The Chinese University of Hong Kong (CUHK), working with Prof. Xiaojun Lin and Prof. He Chen. I received my Ph.D. degree in Information Engineering from CUHK, where I was supervised by Prof. He Chen.
My research lies at the intersection of AI, wireless/networked systems, sensing, and security. I develop robust machine learning methods for real-world RF data, with an emphasis on building systems that work under noisy channels, environmental dynamics, and limited labeled data.
Recently, I have been working on AI-driven 5G/O-RAN systems, especially cross-band channel prediction and low-latency wireless optimization. I aim to combine physics-guided modeling, deep learning, and real-system validation on SDR/USRP, srsRAN, and O-RAN testbeds to improve spectral efficiency and deployment robustness in practical wireless networks.
My broader research interests include:
- Robust AI for physical-world sensing and security: learning robust representations from noisy, high-dimensional wireless signals for real-world sensing and physical-layer security.
- AI for 5G/O-RAN systems: channel prediction, scheduling, and system-level optimization.
- Generative AI for wireless data: LLM-based and model-guided data generation for low-data sensing and communication tasks.
News
- Aug 2026: Invited talk at the Global Young Scholars' Forum at CUHK-Shenzhen.
- Aug 2026: One paper, D2Sense for multi-person sensing, was accepted by IMWUT/UbiComp.
- Jun 2026: One paper, GUIDE for cross-band channel prediction, was published as a MobiSys 2026 Poster.
- Mar 2026: Two papers, Domino and CIRSense, were accepted by ICASSP 2026 and IEEE Transactions on Mobile Computing.
- Sep 2025: Invited talk at the CityU-CCCN-PolyU Joint Seminars.
Selected Publications
* Equal contribution, # Corresponding author, ^ Co-adviced student  | CIRSense: Rethinking WiFi Sensing With Channel Impulse Response Ruiqi Kong and He (Henry) Chen |
 | CSI-RFF: Leveraging Micro-Signals on CSI for RF Fingerprinting of Commodity WiFi Ruiqi Kong and He (Henry) Chen |
 | DeepCRF: Deep Learning-Enhanced CSI-Based RF Fingerprinting for Channel-Resilient WiFi Device Identification Ruiqi Kong and He (Henry) Chen |