A New Local Density for Density Peak Clustering. - Zhishuai Guo; Tianyi Huang; Zhiling Cai; William Zhu 001 (PAKDD (3), 2018)

Feature selection for multi-label classification using neighborhood preservation. - Zhiling Cai; William Zhu 001 (IEEE CAA J. Autom. Sinica, 2018)

Multi-label feature selection via feature manifold learning and sparsity regularization. - Zhiling Cai; William Zhu 001 (Int. J. Mach. Learn. Cybern., 2018)

A new similarity combining reconstruction coefficient with pairwise distance for agglomerative clustering. - Zhiling Cai; Xiaofei Yang 011; Tianyi Huang; William Zhu 001 (Inf. Sci., 2020)

Anchor: The achieved goal to replace the subgoal for hierarchical reinforcement learning. - Ruijia Li; Zhiling Cai; Tianyi Huang; William Zhu 001 (Knowl. Based Syst., 2021)

GDPC: generalized density peaks clustering algorithm based on order similarity. - Xiaofei Yang 011; Zhiling Cai; Ruijia Li; William Zhu 001 (Int. J. Mach. Learn. Cybern., 2021)

Truncated representation graph with adaptive weighted and manifold regularization for agglomerative clustering. - Zhiling Cai; Ruijia Li; Hong Wu (DSIT, 2022)

Junction density based clustering algorithm for data with arbitrary shapes. - Ruijia Li; Zhiling Cai; Hong Wu (ICMLC, 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 001 (Inf. Sci., 2022)

Saliency: a new selection criterion of important architectures in neural architecture search. - Jie Hao; Zhiling Cai; Ruijia Li; William Zhu 001 (Neural Comput. Appl., 2022)

Multi-level Learning for Semi-supervised Multi-view Classification. - Na Song; Shundong Yang; Zhiling Cai; Jian Lin; Sujia Huang (CBD, 2023)

A clustering algorithm based on density decreased chain for data with arbitrary shapes and densities. - Ruijia Li; Zhiling Cai (Appl. Intell., 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)

Towards Multi-view Consistent Graph Diffusion. - Jielong Lu; Zhihao Wu 003; Zhaoliang Chen; Zhiling Cai; Shiping Wang (ACM Multimedia, 2024)

UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity. - Shide Du; Zhiling Cai; Zhihao Wu 003; Yueyang Pi; Shiping Wang (IEEE Trans. Image Process., 2024)

Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View. - Zihan Fang; Shide Du; Zhiling Cai; Shiyang Lan; Chunming Wu; Yanchao Tan; Shiping Wang (IEEE Trans. Multim., 2024)

IMPRL-Net: interpretable multi-view proximity representation learning network. - Shiyang Lan; Zihan Fang; Shide Du; Zhiling Cai; Shiping Wang (Neural Comput. Appl., 2024)

SCHG: Spectral Clustering-guided Hypergraph Neural Networks for Multi-view Semi-supervised Learning. - Yuze Wu; Shiyang Lan; Zhiling Cai; Mingjian Fu 001; Jinbo Li; Shiping Wang (Expert Syst. Appl., 2025)

Optimization-oriented multi-view representation learning in implicit bi-topological spaces. - Shiyang Lan; Shide Du; Zihan Fang; Zhiling Cai; Wei Huang; Shiping Wang (Inf. Sci., 2025)

Heterogeneous Graph Embedding with Dual Edge Differentiation. - Yuhong Chen; Fuhai Chen; Zhihao Wu 003; Zhaoliang Chen; Zhiling Cai; Yanchao Tan; Shiping Wang (Neural Networks, 2025)

Adaptive distance-based multi-objective particle swarm optimization algorithm with simple position update. - Liangying Wang; Lihuan Hong; Haoxuan Fu; Zhiling Cai; Yiwen Zhong; Lijin Wang (Swarm Evol. Comput., 2025)

Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors. - Jielong Lu; Zhihao Wu 003; Zhiling Cai; Yueyang Pi; Shiping Wang (CoRR, 2025)

Hyper-Laplacian Regularized Concept Factorization in Low-Rank Tensor Space for Multi-View Clustering. - Zixiao Yu; Lele Fu; Yongyong Chen; Zhiling Cai; Guoqing Chao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing. - Zihan Fang; Zhiyong Xu; Lan Du; Shide Du; Zhiling Cai; Shiping Wang (CoRR, 2025)