Zhaolong Ling

Orcid: 0000-0003-4812-6676

According to our database1, Zhaolong Ling authored at least 31 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Online Stable Streaming Feature Selection via Feature Aggregation.
ACM Trans. Knowl. Discov. Data, April, 2025

Causal Feature Selection With Imbalanced Data.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Label-Aware Causal Feature Selection.
IEEE Trans. Knowl. Data Eng., March, 2025

Fair Clustering Ensemble With Equal Cluster Capacity.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Causal Discovery Using Weight-Based Conditional Independence Test.
ACM Trans. Knowl. Discov. Data, January, 2025

Fair streaming feature selection.
Neurocomputing, 2025

Multi-view contrastive and cluster-guided learning for author name disambiguation.
Expert Syst. Appl., 2025

Confidence-aware iterative training for cross-lingual entity alignment.
Eng. Appl. Artif. Intell., 2025

Quaternary converter based balanced graph contrastive learning for recommendation.
Appl. Soft Comput., 2025

Local Causal Discovery Without Causal Sufficiency.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Fair Feature Selection: A Causal Perspective.
ACM Trans. Knowl. Discov. Data, August, 2024

Online Heterogeneous Streaming Feature Selection Without Feature Type Information.
IEEE Trans. Big Data, August, 2024

Partial Clustering Ensemble.
IEEE Trans. Knowl. Data Eng., May, 2024

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning.
ACM Trans. Knowl. Discov. Data, February, 2024

Nonlinear learning method for local causal structures.
Inf. Sci., January, 2024

Hybrid Local Causal Discovery.
CoRR, 2024

Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion.
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.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
A Light Causal Feature Selection Approach to High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., August, 2023

Causal Feature Selection With Efficient Spouses Discovery.
IEEE Trans. Big Data, April, 2023

Online Markov Blanket Learning for High-Dimensional Data.
Appl. Intell., March, 2023

Online Markov Blanket Learning with Group Structure.
Intell. Autom. Soft Comput., 2023

Fair Causal Feature Selection.
CoRR, 2023

2022
PSL: An Algorithm for Partial Bayesian Network Structure Learning.
ACM Trans. Knowl. Discov. Data, 2022

Causal learner: A toolbox for causal structure and Markov blanket learning.
Pattern Recognit. Lett., 2022

2021
Using Feature Selection for Local Causal Structure Learning.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Causality-based Feature Selection: Methods and Evaluations.
ACM Comput. Surv., 2021

Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning.
CoRR, 2021

Any Part of Bayesian Network Structure Learning.
CoRR, 2021

2020
Towards efficient and effective discovery of Markov blankets for feature selection.
Inf. Sci., 2020

2019
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.
ACM Trans. Intell. Syst. Technol., 2019


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