Then, we use Tucker decomposition to reconstruct the adjacency tensor, encoding more informative and global spatial-temporal dependencies. Finally, we propose multiple Spatial-temporal Tensor Graph ...

Chemical oxidation is pivotal in remediating organic pollutants in aquatic systems; however, it frequently yields transformation products (TPs) with potential toxicological profiles surpassing those ...

Tensor ProducT ATTenTion (TPA) Transformer (T6) is a state-of-the-art transformer model that leverages Tensor Product Attention (TPA) mechanisms to enhance performance and reduce KV cache size. This ...

The core challenge of hyperspectral compressive imaging is to reconstruct the three-dimensional hyperspectral image from two-dimensional compressed measurements. While recent deep learning-based ...