🎓 Master's graduate in Computer Science and Technology from Southwest University of Science and Technology.
🧠 Researching Deep Learning for Brain-Computer Interfaces (BCI).
📝 Published 8 papers (4 SCI), with notable works in SSVEP frequency recognition, EEG data augmentation, and medical image segmentation.

💼 Currently a Senior EEG Algorithm Engineer at a leading BCI company, spearheading research on visual BCI headbands & multimodal AI BCI glasses.
🎖 Honorary Reviewer at IOP Science: ORCID Profile
📖 CSDN Blog: CSDN Profile

📖 [Journal of Neural Engineering, 2022]: CNN-LSTM network for SSVEP frequency recognition. (Cited 59 times)
📖 [Cognitive Neurodynamics, 2024]: Short-length SSVEP data extension using GANs. (Cited 15 times)
📖 [Neural Networks, 2023]: Transformer-based deep model for SSVEP classification. (Cited 78 times)
📖 [Brain-Apparatus Communication]: A survey of deep learning-based classification methods for SSVEPs. SSVEP Review (Cited 16 times)
📖 [Medical & Biological Engineering & Computing, 2024]: Semi-supervised MRI image segmentation. (Cited 4 times)
📚 More publications: Available upon request.

• Programming: Python, MATLAB, C++
• Deep Learning Frameworks: PyTorch, TensorFlow, Keras
• Signal Processing: EEG/BCI, Time-Series Analysis, Spectral Transformations
• Computer Vision: Medical Image Processing, Object Detection, GANs, Transformers
• BCI Applications: SSVEP, ERP, Multimodal AI Systems

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