Yuanyuan Yao

Yuanyuan Yao

PhD student

ESAT, KU Leuven

About me

I am a PhD student supervised by Prof. Alexander Bertrand at STADIUS, Department of Electrical Engineering, KU Leuven. Prior to this, I obtained my MSc degree at TU Delft under the supervision of Prof. Justin Dauwels, and my BSc degree at ZJU under the supervision of Prof. Jiang Zhu.

My PhD project is about signal processing for EEG-based brain-computer interfaces. The objective is to identify and quantify the temporal coupling between natural video clips and elicited EEG responses. And I am also interested in machine learning, data science, basically everything related to getting insights from data. In my leisure time, I like poetry, novels, movies, and games.

Interests
  • Signal Processing
  • Brain-Computer Interface
  • Machine Learning
Education
  • PhD student, Sept. 2022 - Present

    Katholieke Universiteit Leuven, Belgium

  • MSc in Electrical Engineering, Sept. 2020 - Jul. 2022

    Technische Universiteit Delft, the Netherlands

  • BEng in Ocean Engineering and Technology, Sept. 2016 - Jun. 2020

    Zhejiang University, China

Recent Publications

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(2024). EEG-based Decoding of Selective Visual Attention in Superimposed Videos. In arXiv.

Cite DOI

(2024). Identifying Temporal Correlations Between Natural Single-shot Videos and EEG Signals. In JNE.

Cite Code Dataset DOI

(2022). Six-center Assessment of CNN-Transformer with Belief Matching Loss for Patient-independent Seizure Detection in EEG. In IJNS.

Cite DOI

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