Brain-computer interface
Neural intent understanding
Exploring EEG-based decoding workflows that connect neural signals with interpretable user intent.
About
Hi, I am Wentao Ruan, also known as INWLY.
I am a Ph.D. student at the IIP-HCI Lab, Anhui University. My research focuses on brain-computer interfaces and EEG signal processing, mainly exploring decoding in the text space. In my earlier research, I worked on ancient Chinese character image restoration, including detail-aware restoration methods for degraded historical character images.
Current directions
Research interests and experiments
Signal processing
Robust EEG representation
Studying preprocessing, representation learning, and analysis methods for noisy and time-varying EEG signals.
Research systems
Tools for neural data research
Building small, practical tools for experiments, visualization, and reproducible analysis around neural data.
Publications
CVPR Findings 2026
LWTformer: A Detail-Aware, Learnable Wavelet-Transformer for Ancient Chinese Character Image Restoration
LWTformer restores degraded ancient Chinese character images with learnable wavelet downsampling, spatial-enhanced attention, and wavelet-aware refinement for clearer stroke details.
Intelligent Computing 2026
Ancient Chinese Character Image Restoration: Present Investigations and Future Perspective
A perspective on ancient Chinese character restoration that moves beyond pixel-level repair, emphasizing human-technology synergy, historical authenticity, multimodal datasets, and interdisciplinary collaboration with digital humanities.
[Paper] is available.
Build log
Research notes, code notes, and small experiments.
This site is becoming a home for things I learn while moving between papers, datasets, code, and product-like prototypes.
Recent writing
Latest notes
Contact
