Spatial time series imputation is critically important to many real
appl...
The existing contrastive learning methods widely adopt one-hot instance
...
Asymmetric appearance between positive pair effectively reduces the risk...
Federated learning achieves joint training of deep models by connecting
...
A fundamental challenge in deep metric learning is the generalization
ca...
Human leukocyte antigen (HLA) is an important molecule family in the fie...
Cervical abnormal cell detection is a challenging task as the morphologi...
Molecular and morphological characters, as important parts of biological...
The species identification of Macrofungi, i.e. mushrooms, has always bee...
The asymptotic mean squared test error and sensitivity of the Random Fea...
Accurately detecting Alzheimer's disease (AD) and predicting mini-mental...
The fair k-median problem is one of the important clustering problems. T...
We present a 9^k· n^O(1)-time algorithm for the proper circular-arc
vert...
We study winner determination for three prevalent k-committee selection
...
With the development of federated learning (FL), mobile devices (MDs) ar...
We study the complexity of several combinatorial problems in the model o...
In many quantum channels, dephasing errors occur more frequently than th...
In 1990, Hendry conjectured that all Hamiltonian chordal graphs are cycl...
Fractional repetition (FR) codes are a class of repair efficient erasure...
Randomized search heuristics such as evolutionary algorithms are frequen...
Given a set P of points in the Euclidean plane and two triangulations
of...
In a paired threshold graph, each vertex has a weight, and two vertices ...
Graph search, the process of visiting vertices in a graph in a specific
...
A k-coloring of a graph is an assignment of integers between 1 and k to
...
Motivated by the current research in data centers and cloud computing, w...