The knobs of modern database management systems have significant impact ...
In this paper we propose a two-sample test based on copula entropy (CE)....
The spatial positioning of chromosomes relative to functional nuclear bo...
Identifying differential equation governing dynamical system is an impor...
Time lag between variables is a key characteristics of dynamical systems...
We introduce VISOR, a new dataset of pixel annotations and a benchmark s...
Variable selection is an important problem in statistics and machine
lea...
Voice conversion is to generate a new speech with the source content and...
In this paper, we proposed a multivariate normality test based on copula...
Independence and Conditional Independence (CI) are two fundamental conce...
The Ki-67 proliferation index is an essential biomarker that helps
patho...
Domain Adaptation (DA) is a typical problem in machine learning that aim...
Gait is an important biomarker of functional conditions and gait
charact...
This paper proposes an interaction reasoning network for modelling
spati...
Copula Entropy (CE) is a recently introduced concept for measuring
corre...
Recent years, the database committee has attempted to develop automatic
...
Model quantization has emerged as an indispensable technique to accelera...
Recently, large pre-trained neural language models have attained remarka...
This paper presents the PALI team's winning system for SemEval-2021 Task...
Question answering from semi-structured tables can be seen as a semantic...
This paper describes MagicPai's system for SemEval 2021 Task 7, HaHackat...
As the world ages, elderly care becomes a big concern of the society. To...
Statistical independence and conditional independence are two fundamenta...
Dementia is a leading cause of diseases for the elderly. Early diagnosis...
Mobile payment such as Alipay has been widely used in our daily lives. T...
Graph representation learning for hypergraphs can be used to extract pat...
Performance of neural networks can be significantly improved by encoding...
To understand the biology of cancer, joint analysis of multiple data
mod...
Sparse dictionary learning (SDL) has become a popular method for adaptiv...
We study the estimation of the latent variable Gaussian graphical model
...