Multivariate Time-Series (MTS) data is crucial in various application fi...
Contrastive learning, as a self-supervised learning paradigm, becomes po...
We provide open, transparent implementation and assessment of Google Bra...
Simplicial complexes are a popular tool used to model higher-order
inter...
Intellectual properties is increasingly important in the economic
develo...
Document-level Event Extraction (DEE) is particularly tricky due to the ...
Accurate and efficient point cloud registration is a challenge because t...
Knowledge Distillation (KD) aims at transferring knowledge from a larger...
Named entity recognition (NER) remains challenging when entity mentions ...
Extracting entities and relations from unstructured text has attracted
i...
IP geolocation aims at locating the geographical position of Internet
de...
Deep convolutional neural networks have significantly improved the peak
...
This paper considers a multiuser massive multiple-input multiple-output
...
Many graph products have been applied to generate complex networks with
...
This paper proposes Deep Bi-Dense Networks (DBDN) for single image
super...
In this article, we investigate channel estimation for wideband
millimet...
Deep neural networks have shown excellent performance for stereo matchin...