Shenglei Chen

According to our database, Shenglei Chen authored at least 15 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Selective A<i>n</i>DE based on attributes ranking by Maximin Conditional Mutual Information (MMCMI).

Shenglei Chen, Xin Ma, Linyuan Liu, Limin Wang

J. Exp. Theor. Artif. Intell., 2023

2022

Characterizing Co-Located Workloads in Alibaba Cloud Datacenters.

Congfeng Jiang, Yitao Qiu, Weisong Shi, Zhefeng Ge, Jiwei Wang, Shenglei Chen, Christophe Cérin, Zujie Ren, Guoyao Xu, Jiangbin Lin

IEEE Trans. Cloud Comput., 2022

Privacy regulation aware service selection for multi-provision cloud service composition.

Linyuan Liu, Haibin Zhu, Shenglei Chen, Zhiqiu Huang

Future Gener. Comput. Syst., 2022

2021

Hierarchical Independence Thresholding for learning Bayesian network classifiers.

Yang Liu, Limin Wang, Musa Mammadov, Shenglei Chen, Gaojie Wang, Sikai Qi, Minghui Sun

Knowl. Based Syst., 2021

A novel approach to fully representing the diversity in conditional dependencies for learning Bayesian network classifier.

Limin Wang, Peng Chen, Shenglei Chen, Minghui Sun

Intell. Data Anal., 2021

2020

Instance-based weighting filter for superparent one-dependence estimators.

Zhiyi Duan, Limin Wang, Shenglei Chen, Minghui Sun

Knowl. Based Syst., 2020

A novel selective naïve Bayes algorithm.

Shenglei Chen, Geoffrey I. Webb, Linyuan Liu, Xin Ma

Knowl. Based Syst., 2020

Power Attack and Detection Technology in Data Centers: A Survey.

Shenglei Chen, Dongyang Ou, Congfeng Jiang, Jing Shen, Li Yan, Shuangshuang Guo

Proceedings of the International Conference on Communications, 2020

2018

Target Learning: A Novel Framework to Mine Significant Dependencies for Unlabeled Data.

Limin Wang, Shenglei Chen, Musa Mammadov

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

Sample-Based Attribute Selective A<i>n</i> DE for Large Data.

Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang

IEEE Trans. Knowl. Data Eng., 2017

Selective AnDE for large data learning: a low-bias memory constrained approach.

Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang

Knowl. Inf. Syst., 2017

2016

Scalable Learning of Bayesian Network Classifiers.

Ana M. Martínez, Geoffrey I. Webb, Shenglei Chen, Nayyar Abbas Zaidi

J. Mach. Learn. Res., 2016

2014

Highly Scalable Attribute Selection for Averaged One-Dependence Estimators.

Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013

An efficient L2-norm regularized least-squares temporal difference learning algorithm.

Shenglei Chen, Geng Chen, Ruijun Gu

Knowl. Based Syst., 2013

2005

Collaborative design environment based on multi-agent.

Shenglei Chen, Huizhong Wu, Xianglan Han, Liang Xiao

Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005