Author

Ye Wang

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Preprint Sep 2026

Adaptive Cortically Constrained EEG-Vision Alignment for Zero-Shot Brain-to-Image Retrieval

Zero-shot brain-to-image retrieval requires robust alignment between noisy EEG responses and visual representations. Existing EEG-vision alignment methods often operate in sensor space and apply fixed visual supervision to all responses, ignoring both spatial mixing in scalp EEG and response-wise variability in alignme...

Ye Wang, Hao-Kun Ren, Wei Wu et al. · 0 citations

Preprint Sep 2026

The Visual Target Matters: Learning across the Visual Hierarchy for Brain-to-Image Retrieval

Brain-to-image retrieval seeks to identify the visual stimulus that elicited a non-invasive neural response. Candidate images are typically represented by pretrained vision models, whose internal representations vary in abstraction across depth. Existing methods usually train the neural encoder to recover a fixed final...

Ye Wang, Hao-Kun Ren, Hong Yu et al. · 0 citations

#graph neural networks Oct 2026

Enhancing Graph Neural Network Explainers Using a Distribution Shift Consistency-Guided Generator

Graph Neural Network (GNN) explainers aim to identify explanatory subgraphs that provide rationales for GNNs’ predictions. Nevertheless, the distribution shift of subgraphs introduces out-of-distribution (OOD) issues into GNNs’ predictions. The OOD issues compromise explainers’ optimization, as the optimization relies...

Guang-Yong He, Li Liu, You-Min Zhang et al. · IEEE Transactions on Knowled... · 0 citations