Kieren Yu
Ph.D. student · Internet of Things · HKUST(GZ)
Learning useful representations from brain signals, and building better ways to evaluate them.
I am a Ph.D. student in the Internet of Things Thrust at The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Kaishun Wu and co-supervised by Prof. Jintai Chen. Before that, I completed my undergraduate studies in Automation at Tsinghua University.
My research interests center on EEG representation learning and brain–computer interfaces. I am interested in how models learn from neural signals, how these representations connect to visual concepts, and how evaluation can reveal what a model actually learns. I also work on wearable EEG for affective and cognitive sensing.
Research interests
EEG foundation models
Self-supervised objectives and transferable neural representations.
Brain–vision decoding
Connecting EEG with images, text, and structured visual concepts.
Benchmarks and neural agents
Reproducible evaluation and reasoning grounded in signal evidence.
Wearable neural sensing
Ear-EEG interfaces for affective and cognitive load assessment.
Explore NSP, ProtoEEG, Neural-Agent-BENCH, EEGVIS-BENCH, and Ear-EmoLoad on the Research page.
Selected publications
Publication list →ProtoEEG: Structured Prototype Alignment for EEG Visual Decoding
Neural State Prediction: Obstructing Shortcut Learning in EEG Foundation Models
PATCHCODE: Discrete Latent Predictive Learning for EEG Foundation Model
Cardio-mmFlow: A Gaussian-Prior-Free Physics-Informed Flow Matching Framework for Electrocardiogram to mmWave Radar Synthesis
DACA-Net: A Degradation-Aware Conditional Diffusion Network for Underwater Image Enhancement
Education
The Hong Kong University of Science and Technology (Guangzhou)
Ph.D. studies, Internet of Things · Supervisor: Prof. Kaishun Wu · Co-supervisor: Prof. Jintai Chen
Tsinghua University
Undergraduate studies, Automation
Academic service
Conference reviewer: AAAI 2026, AAAI 2027, ICLR 2027.
Get in touch
For research discussions and potential collaborations, reach me at kyu219@connect.hkust-gz.edu.cn.
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