Curriculum vitae
Kieren Yu · Ph.D. student, Internet of Things
The Hong Kong University of Science and Technology (Guangzhou)
kyu219@connect.hkust-gz.edu.cn · Google Scholar · ORCID · LinkedIn
Education
The Hong Kong University of Science and Technology (Guangzhou)
Ph.D. studies in Internet of Things
Supervisor: Prof. Kaishun Wu
Co-supervisor: Prof. Jintai Chen
Tsinghua University
Undergraduate studies in Automation
Research interests
- EEG foundation models and self-supervised representation learning
- EEG-to-image decoding and multimodal alignment
- Reproducible benchmarks and signal-grounded neural agents
- Wearable ear-EEG, affective computing, and cognitive load assessment
Selected publications
arXiv preprint · 2026
ProtoEEG: Structured Prototype Alignment for EEG Visual Decoding
arXiv preprint · 2026
Neural State Prediction: Obstructing Shortcut Learning in EEG Foundation Models
International Conference on Machine Learning (ICML) · 2026
PATCHCODE: Discrete Latent Predictive Learning for EEG Foundation Model
International Conference on Machine Learning (ICML) · 2026
Cardio-mmFlow: A Gaussian-Prior-Free Physics-Informed Flow Matching Framework for Electrocardiogram to mmWave Radar Synthesis
ACM International Conference on Multimedia (ACM MM) · 2025
DACA-Net: A Degradation-Aware Conditional Diffusion Network for Underwater Image Enhancement
Academic service
Conference reviewer: AAAI 2026, AAAI 2027, ICLR 2027.
Research projects
NSP — Neural State Prediction: Obstructing Shortcut Learning in EEG Foundation Models
ProtoEEG — ProtoEEG: Structured Prototype Alignment for EEG Visual Decoding
Neural-Agent-BENCH — Signal-grounded reasoning over EEG
EEGVIS-BENCH — Benchmarking EEG visual decoding
Ear-EmoLoad — An End-to-End Earbud EEG Platform for Affective and Cognitive Load Assessment in Naturalistic IoT Environments