Prior studies generally focus on software vulnerability detection and ha...
Clustering continues to be a significant and challenging task. Recent st...
Pre-trained multilingual language models play an important role in
cross...
The modern digital world is increasingly becoming multimodal. Although
m...
Solving multi-goal reinforcement learning (RL) problems with sparse rewa...
Boundary-based instance segmentation has drawn much attention since of i...
The innovations of vehicle connectivity have been increasing dramaticall...
Multi-goal reinforcement learning is widely used in planning and robot
m...
Knowledge distillation has become an important technique for model
compr...
While the superior performance of second-order optimization methods such...
Many blockchain-based cryptocurrencies provide users with online blockch...
The in-vehicle diagnostic and software update system, which supports rem...
Security analysis is an essential activity in security engineering to
id...
To overcome the high dimensionality of data, learning latent feature
rep...
This work discovers the equivalence relation between quadrilateral meshe...
We introduce a new deep convolutional neural network, CrescendoNet, by
s...
In order to boost the performance of data-intensive computing on HPC sys...
In computer graphics, smooth data reconstruction on 2D or 3D manifolds
u...