Zhaolong Ling

According to our database, Zhaolong Ling authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Fair Feature Selection: A Causal Perspective.

Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu

ACM Trans. Knowl. Discov. Data, August, 2024

Online Heterogeneous Streaming Feature Selection Without Feature Type Information.

Peng Zhou, Yunyun Zhang, Zhaolong Ling, Yuanting Yan, Shu Zhao, Xindong Wu

IEEE Trans. Big Data, August, 2024

Partial Clustering Ensemble.

Peng Zhou, Liang Du, Xinwang Liu, Zhaolong Ling, Xia Ji, Xuejun Li, Yi-Dong Shen

IEEE Trans. Knowl. Data Eng., May, 2024

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning.

Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li

ACM Trans. Knowl. Discov. Data, February, 2024

Nonlinear learning method for local causal structures.

Xingyu Wu, Yan Zhong, Zhaolong Ling, Jie Yang, Li Li, Weiguo Sheng, Bingbing Jiang

Inf. Sci., January, 2024

Fair Streaming Feature Selection.

Zhangling Duan, Tianci Li, Xingyu Wu, Zhaolong Ling, Jingye Yang, Zhaohong Jia

CoRR, 2024

Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion.

Chenglong Zhang, Xinyan Liang, Peng Zhou, Zhaolong Ling, Yingwei Zhang, Xingyu Wu, Weiguo Sheng, Bingbing Jiang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks.

Zihao Xu, Chenglong Zhang, Zhaolong Ling, Peng Zhou, Yan Zhong, Li Li, Han Zhang, Weiguo Sheng, Bingbing Jiang

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

A Light Causal Feature Selection Approach to High-Dimensional Data.

Zhaolong Ling, Ying Li, Yiwen Zhang, Kui Yu, Peng Zhou, Bo Li, Xindong Wu

IEEE Trans. Knowl. Data Eng., August, 2023

Causal Feature Selection With Efficient Spouses Discovery.

Zhaolong Ling, Bo Li, Yiwen Zhang, Qingren Wang, Kui Yu, Xindong Wu

IEEE Trans. Big Data, April, 2023

Online Markov Blanket Learning for High-Dimensional Data.

Zhaolong Ling, Bo Li, Yiwen Zhang, Ying Li, Haifeng Ling

Appl. Intell., March, 2023

Fair Causal Feature Selection.

Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu

CoRR, 2023

2022

PSL: An Algorithm for Partial Bayesian Network Structure Learning.

Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu

ACM Trans. Knowl. Discov. Data, 2022

Causal learner: A toolbox for causal structure and Markov blanket learning.

Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li

Pattern Recognit. Lett., 2022

2021

Using Feature Selection for Local Causal Structure Learning.

Zhaolong Ling, Kui Yu, Hao Wang, Lei Li, Xindong Wu

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Causality-based Feature Selection: Methods and Evaluations.

Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu

ACM Comput. Surv., 2021

Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning.

Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li

CoRR, 2021

Any Part of Bayesian Network Structure Learning.

Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li

CoRR, 2021

2020

Towards efficient and effective discovery of Markov blankets for feature selection.

Hao Wang, Zhaolong Ling, Kui Yu, Xindong Wu

Inf. Sci., 2020

2019

BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.

Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu

ACM Trans. Intell. Syst. Technol., 2019