Ms. Yuxin Gao | Data Visualization | Best Innovation Award

Lanzhou Jiaotong University | China

Author Profile

Scopus

👩‍🎓 Summary & Education

Ms. Yuxin Gao is currently pursuing her postgraduate studies at Lanzhou Jiaotong University, located in Lanzhou City, Gansu Province. Her academic work focuses on electroencephalogram (EEG)-based auditory attention detection (AAD), a cutting-edge field in brain-computer interface (BCI) research. She holds a strong educational foundation in electronics and information engineering, supporting her current research direction.

👩‍🔬 Professional & Research Experience

Ms. Gao has actively contributed to two successfully completed research projects on EEG auditory attention decoding and target speaker localization. She has published three research paperstwo officially accepted and one under revision. A key publication appears in the Journal of Electronics & Information Technology (DOI: 10.11999/JEIT240867), highlighting her contributions to temporal-spatial-frequency EEG decoding.

📈 Academic Citations & Indexing

Her work is cited in peer-reviewed journals, notably co-authoring a paper with WANG Chunli and LI Jinxu, which proposes a short-time window EEG decoding network utilizing multi-dimensional temporal-spatial-frequency features.

🛠️ Technical Skills

Ms. Gao is skilled in EEG signal processing, deep learning (e.g., Transformer, GNNs, ConvLSTM), convolutional neural networks (CNNs), and multimodal feature fusion. She designed frameworks achieving up to 95.31% accuracy in 1-second EEG windows.

👩‍🏫 Teaching Experience

While primarily focused on research, she has provided academic mentoring and assisted in undergraduate laboratory sessions, gaining experience in scientific communication and education support.

🧠 Research Interests

Her main interests include auditory attention detection, speech recognition, multimodal recognition, frequency band analysis (e.g., δ, θ, α, β, γ), and spatial-temporal coupling in brain signals. She aims to address fragmentation in frequency information and model interpretability in BCI systems.

📖Publications

A Short-time Window ElectroEncephaloGram Auditory Attention Decoding Network Based on Multi-dimensional Characteristics of Temporal-spatial-frequency
  • Authors: WANG Chunli, LI Jinxu, GAO Yuxin, WANG Chenming, ZHANG Jiahao

  • Journal: Journal of Electronics & Information Technology (Dianzi Yu Xinxi Xuebao

  • Year: 2025

Yuxin Gao | Data Visualization | Best Innovation Award

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