Transformer-based methods have exhibited remarkable potential in single ...
Knowledge distillation is a powerful technique to compress large neural
...
Time series probabilistic forecasting with multi-dimensional and sporadi...
Performance issues in software-defined network (SDN) controllers can hav...
Objective: Electrocardiogram (ECG) signals commonly suffer noise
interfe...
The link between Gaussian random fields and Markov random fields is well...
Deep learning-based pavement cracks detection methods often require
larg...
We explore the use of GPU for accelerating large scale nearest neighbor
...
Piecewise divergence-free H(div)-nonconforming virtual elements
are desi...
We present automatic horizontal fusion, a novel optimization technique t...
We present Solythesis, a source to source Solidity compiler which takes ...
Simulation has long been an essential part of testing autonomous driving...
Customers make a lot of reviews on online shopping websites every day, e...
We present Aloes, a new technique and system for automatically detecting...