Zhiling Cai

According to our database, Zhiling Cai authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

2023

Learning unified anchor graph based on affinity relationships with strong consensus for multi-view spectral clustering.

Zhiling Cai, Ruijia Li, Hong Wu

Multim. Syst., 2023

A clustering algorithm based on density decreased chain for data with arbitrary shapes and densities.

Ruijia Li, Zhiling Cai

Appl. Intell., 2023

2022

Saliency: a new selection criterion of important architectures in neural architecture search.

Jie Hao, Zhiling Cai, Ruijia Li, William Zhu

Neural Comput. Appl., 2022

Consolidation of structure of high noise data by a new noise index and reinforcement learning.

Tianyi Huang, Zhiling Cai, Ruijia Li, Shiping Wang, William Zhu

Inf. Sci., 2022

Junction density based clustering algorithm for data with arbitrary shapes.

Ruijia Li, Zhiling Cai, Hong Wu

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

Truncated representation graph with adaptive weighted and manifold regularization for agglomerative clustering.

Zhiling Cai, Ruijia Li, Hong Wu

Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

2021

GDPC: generalized density peaks clustering algorithm based on order similarity.

Xiaofei Yang, Zhiling Cai, Ruijia Li, William Zhu

Int. J. Mach. Learn. Cybern., 2021

Anchor: The achieved goal to replace the subgoal for hierarchical reinforcement learning.

Ruijia Li, Zhiling Cai, Tianyi Huang, William Zhu

Knowl. Based Syst., 2021

2020

A new similarity combining reconstruction coefficient with pairwise distance for agglomerative clustering.

Zhiling Cai, Xiaofei Yang, Tianyi Huang, William Zhu

Inf. Sci., 2020

2018

Multi-label feature selection via feature manifold learning and sparsity regularization.

Zhiling Cai, William Zhu

Int. J. Mach. Learn. Cybern., 2018

Feature selection for multi-label classification using neighborhood preservation.

Zhiling Cai, William Zhu

IEEE CAA J. Autom. Sinica, 2018

A New Local Density for Density Peak Clustering.

Zhishuai Guo, Tianyi Huang, Zhiling Cai, William Zhu

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