Ziyang Liu

Ph.D. Student in Internet of Things

The Hong Kong University of Science and Technology (Guangzhou)

I am a Ph.D. student at HKUST(GZ), supervised by Prof. Kaishun Wu and co-supervised by Prof. Xin Yang. My research interests include AIoT, smart sensing, medical AI, contactless physiological sensing, mmWave radar, and biosignal modeling.

Research Interests

Publications

  1. Cardio-mmFlow: A Gaussian-Prior-Free Physics-Informed Flow Matching Framework for Electrocardiogram to mmWave Radar Synthesis

    Ziyang Liu, Ruiqiang Xiao, Chang Huang, Kieren Yu, Siyuan He, and Kaishun Wu.

    Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026.

  2. PATCHCODE: Discrete Latent Predictive Learning for EEG Foundation Model

    Kieren Yu, Ziyang Liu, Chang Huang, and Kaishun Wu.

    Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026.

  3. mmJEPA-ECG: Cross-Posture Robust Contactless Electrocardiogram Monitoring via Millimeter Wave Radar Sensing

    Ziyang Liu, Siyuan He, Feng Liang, Chang Huang, Shuxin Zhong, and Kaishun Wu.

    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 40(45):38962–38970, 2026.

  4. Natural Language Sentiment Analysis System Based on Self-Designed Deep Learning Framework

    Ziyang Liu and Xiangyi Yin.

    International Core Journal of Engineering, 7(12):322–330, 2021.

Education

The Hong Kong University of Science and Technology (Guangzhou)

Ph.D. in Internet of Things

Supervisor: Prof. Kaishun Wu · Co-supervisor: Prof. Xin Yang

2024–Present

The Chinese University of Hong Kong

M.Sc. in Information Engineering

2022–2023

The University of Essex

B.Sc. (Hons) in Electronic Systems Engineering, First Class

Cooperative program with Northwest University

2018–2022

Northwest University

B.Eng. in Electronic Information Science and Technology

2018–2022

Awards