We introduce UbiPhysio, a milestone framework that delivers fine-grained...
Quantum circuit transformation (QCT, a.k.a. qubit mapping) is a critical...
Existing few-shot segmentation methods are based on the meta-learning
st...
In this paper, we provide two views of constrained differential private ...
Nondeterministic choice is a useful program construct that provides a wa...
Transformer models gain popularity because of their superior inference
a...
With the growing burden of training deep learning models with large data...
Abstract interpretation, Hoare logic, and incorrectness (or reverse Hoar...
This work studies the joint rain and haze removal problem. In real-life
...
Interventional magnetic resonance imaging (i-MRI) for surgical guidance ...
We investigate the formal semantics of a simple imperative language that...
Model ensembles are becoming one of the most effective approaches for
im...
Distributed quantum systems and especially the Quantum Internet have the...
Object detection is a basic but challenging task in computer vision, whi...
We study the fundamental design automation problem of equivalence checki...
Fast and accurate structural dynamics analysis is important for structur...
The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...
Tensor networks have been successfully applied in simulation of quantum
...
Hoare logic provides a syntax-oriented method to reason about program
co...
A quantum circuit is a computational unit that transforms an input quant...
We present an object detection framework based on PaddlePaddle. We put a...
We propose a quantum data fitting algorithm for non-sparse matrices, whi...
Model checking has been successfully applied to verification of computer...
This article discusses the essential difficulties in developing
model-ch...