Multi-task learning (MTL) aims to improve the performance of a primary t...
The development of correct and efficient software can be hindered by
com...
Semantic communications (SC) have been expected to be a new paradigm shi...
Code generation systems have been extensively developed in recent years ...
The rapid growth of deep learning (DL) has spurred interest in enhancing...
Deep learning has been widely adopted to tackle various code-based tasks...
Affordance learning considers the interaction opportunities for an actor...
Semantic segmentation plays an important role in widespread applications...
We study information design in click-through auctions, in which the
bidd...
Localizing root causes for multi-dimensional data is critical to ensure
...
Widely used compilers like GCC and LLVM usually have hundreds of
optimiz...
Deep learning has been widely used to solve various code-based tasks by
...
Motivation: Enhancers are important cis-regulatory elements that regulat...
Fault localization, aiming at localizing the root cause of the bug under...
Semantic segmentation is an important and prevalent task, but severely
s...
Environmental perception with multi-modal fusion of radar and camera is
...
Deep Learning (DL) compilers are widely adopted to optimize advanced DL
...
In community-based software development, developers frequently rely on
l...
DL frameworks are the basis of constructing all DL programs and models, ...
Object detection has achieved promising success, but requires large-scal...
Most of the existing Siamese-based trackers treat tracking problem as a
...
Emotional Voice Conversion (EVC) aims to convert the emotional style of ...
Source code summaries are important for the comprehension and maintenanc...
DNN testing is one of the most effective methods to guarantee the qualit...
Recognizing fine-grained categories remains a challenging task, due to t...
The global pandemic of COVID-19 has made the public pay close attention ...
This paper concerns the problem of detecting the use of information hidi...