A Unified View of Causal and Non-causal Feature Selection

Jiuyong Li , Lin Liu , Kui Yu
arXiv: Artificial Intelligence

9
2018
Causality-based Feature Selection: Methods and Evaluations

Jiuyong Li , Xindong Wu , Lin Liu , Hao Wang
arXiv: Learning

2
2019
Causal query in observational data with hidden variables

Jiuyong Li , Thuc Duy Le , Jixue Liu , Debo Cheng
arXiv: Artificial Intelligence

2
2020
A general framework for causal classification

Jiuyong Li , Thuc Duy Le , Jixue Liu , Weijia Zhang
arXiv: Learning

2020
Causal Query in Observational Data with Hidden Variables.

Jiuyong Li , Thuc Duy Le , Jixue Liu , Debo Cheng
european conference on artificial intelligence 2551 -2558

2
2020
Online Streaming Feature Selection

Wei Ding , Xindong Wu , Xindong Wu , Kui Yu
international conference on machine learning 1159 -1166

107
2010
A Review on Algorithms for Constraint-based Causal Discovery

Jiuyong Li , Kui Yu , Lin Liu
arXiv: Artificial Intelligence

21
2016
Learning causal representations for robust domain adaptation.

Jiuyong Li , Kui Yu , Lin Liu , Hao Wang
arXiv: Learning

7
2020
Semi-supervised classification on data streams with recurring concept drift and concept evolution

Xuegang Hu , Peipei Li , Kui Yu , Xiulin Zheng
Knowledge Based Systems 215 106749

25
2021
Towards Efficient Local Causal Structure Learning

Xindong Wu , Kui Yu , Hao Wang , Fuyuan Cao
IEEE Transactions on Big Data 1 -1

11
2021
Adversarial training with Wasserstein distance for learning cross-lingual word embeddings

Xuegang Hu , Yuhong Zhang , Yuling Li , Kui Yu
Applied Intelligence 1 -13

2021
A general framework for causal classification

Jiuyong Li , Thuc Duy Le , Jixue Liu , Weijia Zhang
Journal of data science 11 ( 2) 127 -139

1
2021
A Unified View of Causal and Non-causal Feature Selection

Jiuyong Li , Lin Liu , Kui Yu
ACM Transactions on Knowledge Discovery From Data 15 ( 4) 1 -46

2021
Separation and Recovery Markov Boundary Discovery and Its Application in EEG-based Emotion Recognition

Huanhuan Chen , Kui Yu , Xingyu Wu , Bingbing Jiang
Information Sciences 571 262 -278

2021
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks

Xinwang Liu , Junxing Zhu , Kaijun Ren , Xiaoyong Li
database systems for advanced applications 376 -391

2021
Fuzzy Bayesian Knowledge Tracing

Chenyang Bu , Fei Liu , Xuegang Hu , Kui Yu
IEEE Transactions on Fuzzy Systems 1 -1

2021
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification

Dawei Wang , Wei Ding , Kui Yu , Xindong Wu
knowledge discovery and data mining 1285 -1293

12
2013
L1 regularized ordering for learning Bayesian network classifiers

Ying Wang , Hao Wang , Kui Yu , Hongliang Yao
international conference on natural computation 3 1522 -1526

1
2011
Markov Boundary Learning With Streaming Data for Supervised Classification

Chaofan Liu , Shuai Yang , Kui Yu
IEEE Access 8 102222 -102234

2020
Mining Markov Blankets Without Causal Sufficiency

Kui Yu , Lin Liu , Jiuyong Li , Huanhuan Chen
IEEE Transactions on Neural Networks 29 ( 12) 6333 -6347

11
2018