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ORCIDZhiling Cai
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2020 – today
- 2025
[j14]Shiyang Lan, Shide Du
, Zihan Fang, Zhiling Cai, Wei Huang, Shiping Wang:
Optimization-oriented multi-view representation learning in implicit bi-topological spaces. Inf. Sci. 704: 121945 (2025)- [j13]Yuhong Chen, Fuhai Chen, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Yanchao Tan, Shiping Wang:
Heterogeneous Graph Embedding with Dual Edge Differentiation. Neural Networks 183: 106965 (2025) - 2024
- [j12]Shiyang Lan, Zihan Fang, Shide Du, Zhiling Cai, Shiping Wang:
IMPRL-Net: interpretable multi-view proximity representation learning network. Neural Comput. Appl. 36(24): 15027-15044 (2024) - [j11]Shide Du, Zhiling Cai, Zhihao Wu, Yueyang Pi, Shiping Wang:
UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity. IEEE Trans. Image Process. 33: 3399-3412 (2024) - [j10]Zihan Fang, Shide Du, Zhiling Cai, Shiyang Lan, Chunming Wu, Yanchao Tan, Shiping Wang:
Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View. IEEE Trans. Multim. 26: 8889-8901 (2024) - [c5]Jielong Lu, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Shiping Wang:
Towards Multi-view Consistent Graph Diffusion. ACM Multimedia 2024: 186-195 - 2023
- [j9]Ruijia Li, Zhiling Cai:
A clustering algorithm based on density decreased chain for data with arbitrary shapes and densities. Appl. Intell. 53(2): 2098-2109 (2023) - [j8]Zhiling Cai, Ruijia Li, Hong Wu:
Learning unified anchor graph based on affinity relationships with strong consensus for multi-view spectral clustering. Multim. Syst. 29(1): 261-273 (2023) - [c4]Na Song, Shundong Yang, Zhiling Cai, Jian Lin, Sujia Huang:
Multi-level Learning for Semi-supervised Multi-view Classification. CBD 2023: 146-151 - 2022
- [j7]Tianyi Huang, Zhiling Cai, Ruijia Li, Shiping Wang, William Zhu:
Consolidation of structure of high noise data by a new noise index and reinforcement learning. Inf. Sci. 614: 206-222 (2022) - [j6]Jie Hao, Zhiling Cai, Ruijia Li, William Zhu:
Saliency: a new selection criterion of important architectures in neural architecture search. Neural Comput. Appl. 34(2): 1269-1283 (2022) - [c3]Zhiling Cai, Ruijia Li, Hong Wu:
Truncated representation graph with adaptive weighted and manifold regularization for agglomerative clustering. DSIT 2022: 1-6 - [c2]Ruijia Li, Zhiling Cai, Hong Wu:
Junction density based clustering algorithm for data with arbitrary shapes. ICMLC 2022: 160-164 - 2021
- [j5]Ruijia Li, Zhiling Cai, Tianyi Huang, William Zhu:
Anchor: The achieved goal to replace the subgoal for hierarchical reinforcement learning. Knowl. Based Syst. 225: 107128 (2021) - [j4]Xiaofei Yang, Zhiling Cai, Ruijia Li, William Zhu:
GDPC: generalized density peaks clustering algorithm based on order similarity. Int. J. Mach. Learn. Cybern. 12(3): 719-731 (2021) - 2020
- [j3]Zhiling Cai, Xiaofei Yang, Tianyi Huang, William Zhu:
A new similarity combining reconstruction coefficient with pairwise distance for agglomerative clustering. Inf. Sci. 508: 173-182 (2020)
2010 – 2019
- 2018
- [j2]Zhiling Cai, William Zhu:
Feature selection for multi-label classification using neighborhood preservation. IEEE CAA J. Autom. Sinica 5(1): 320-330 (2018) - [j1]Zhiling Cai, William Zhu:
Multi-label feature selection via feature manifold learning and sparsity regularization. Int. J. Mach. Learn. Cybern. 9(8): 1321-1334 (2018) - [c1]Zhishuai Guo, Tianyi Huang, Zhiling Cai, William Zhu:
A New Local Density for Density Peak Clustering. PAKDD (3) 2018: 426-438
Coauthor Index
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