Computational notebooks (e.g., Jupyter, Google Colab) are widely used fo...
We aim to identify the time-dependent source term in the diffusion equat...
The prediction of molecular properties is one of the most important and
...
Autoencoders have achieved great success in various computer vision
appl...
Forecasts by the European Centre for Medium-Range Weather Forecasts (ECM...
In this paper, we propose a Graph Inception Diffusion Networks(GIDN) mod...
The study of Human-Robot Interaction (HRI) aims to create close and frie...
Recently, with the continuous development of deep learning, the performa...
We propose and analyze a product segmentation newsvendor problem, which
...
This paper introduces the recent work of Nebula Graph, an open-source,
d...
Recently, deep neural networks such as RNN, CNN and Transformer have bee...
Self-attention shows outstanding competence in capturing long-range
rela...
Motivation: Computational prediction of multiple-type drug-drug interact...
Knowledge distillation has been widely used to produce portable and effi...
Knowledge distillation is a popular paradigm for learning portable neura...
In this paper, we design and analyze third order positivity-preserving
d...
We present to recover the complete 3D facial geometry from a single dept...
We propose to learn a cascade of globally-optimized modular boosted fern...
Object detection using an oriented bounding box (OBB) can better target
...
In this letter, we study relay-aided networks with presence of single
ea...
This paper studies the beamforming design problem of a multi-user downli...
Convolution neural network (CNN) plays a paramount role in machine learn...
For a class of convection-diffusion equations with variable diffusivity,...
This paper presents a k-means-based multi-subpopulation particle swarm
o...
The high dimensionality of hyperspectral images often results in the
deg...
The widely-used automatic evaluation metrics cannot adequately reflect t...
Most of the syntax-based metrics obtain the similarity by comparing the
...
There have been intensive research interests in ship detection and
segme...