A Latent Factor Model Based on Elastic Network for Recommender Systems. - Dexian Wang 004; Ping Deng 002; Chunlin He; Baolin Li; Rui Liu (BDET, 2018)

Softmax Regression by Using Unsupervised Ensemble Learning. - Ping Deng 002; Hongjun Wang 002; Shi-Jinn Horng; Dexian Wang 004; Ji Zhang; Hengxue Zhou (PAAP, 2018)

A Mixture Model for Image Boundary Detection Fusion. - Yinghui Zhang 005; Hongjun Wang 002; Hengxue Zhou; Ping Deng 002 (IEICE Trans. Inf. Syst., 2018)

Linear discriminant analysis guided by unsupervised ensemble learning. - Ping Deng 002; Hongjun Wang 002; Tianrui Li 001; Shi-Jinn Horng; Xinwen Zhu (Inf. Sci., 2019)

Particle Subswarms Collaborative Clustering. - Collins Census; Hongjun Wang 002; Ji Zhang; Ping Deng 002; Tianrui Li 001 (IEEE Trans. Comput. Soc. Syst., 2019)

Co-Adjustment Learning for Co-Clustering. - Ji Zhang; Hongjun Wang 002; Shudong Huang; Tianrun Li; Peng Jin; Ping Deng 002; Qigang Zhao (Cogn. Comput., 2021)

Quantum Clustering Ensemble. - Peizhou Tian; Shuang Jia; Ping Deng 002; Hongjun Wang 002 (Int. J. Comput. Intell. Syst., 2021)

Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints. - Yanping Wu; Yinghui Zhang 005; Hongjun Wang 002; Ping Deng 002; Tianrui Li 001 (Inf. Sci., 2021)

Tri-regularized nonnegative matrix tri-factorization for co-clustering. - Ping Deng 002; Tianrui Li 001; Hongjun Wang 002; Shi-Jinn Horng; Zeng Yu 001; Xiaomin Wang (Knowl. Based Syst., 2021)

Hybrid genetic model for clustering ensemble. - Wenlu Yang; Yinghui Zhang 005; Hongjun Wang 002; Ping Deng 002; Tianrui Li 001 (Knowl. Based Syst., 2021)

Dual graph-regularized sparse concept factorization for clustering. - Dexian Wang 001; Tianrui Li 001; Ping Deng 002; Hongjun Wang 002; Pengfei Zhang 016 (Inf. Sci., 2022)

Biased unconstrained non-negative matrix factorization for clustering. - Ping Deng 002; Fan Zhang 108; Tianrui Li 001; Hongjun Wang 002; Shi-Jinn Horng (Knowl. Based Syst., 2022)

Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering. - Ping Deng 002; Tianrui Li 001; Hongjun Wang 002; Dexian Wang 001; Shi-Jinn Horng; Rui Liu (IEEE Trans. Comput. Soc. Syst., 2023)

A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization. - Dexian Wang 001; Tianrui Li 001; Ping Deng 002; Fan Zhang 108; Wei Huang 037; Pengfei Zhang 016; Jia Liu 033 (ACM Trans. Knowl. Discov. Data, 2023)

A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering. - Dexian Wang 001; Tianrui Li 001; Ping Deng 002; Jia Liu 033; Wei Huang 037; Fan Zhang 108 (IEEE Trans. Big Data, 2023)

Multi-view clustering guided by unconstrained non-negative matrix factorization. - Ping Deng 002; Tianrui Li 001; Dexian Wang 001; Hongjun Wang 002; Hong Peng; Shi-Jinn Horng (Knowl. Based Syst., 2023)

A multi-view clustering algorithm based on deep semi-NMF. - Dexian Wang 001; Tianrui Li 001; Wei Huang 037; Zhipeng Luo; Ping Deng 002; Pengfei Zhang 016; Minbo Ma (Inf. Fusion, 2023)

An autoencoder-like deep NMF representation learning algorithm for clustering. - Dexian Wang 001; Pengfei Zhang 016; Ping Deng 002; Qiao-Feng Wu; Wei Chen 141; Tao Jiang 014; Wei Huang 037; Tianrui Li 001 (Knowl. Based Syst., 2024)

Automatic label assignment object detection mehtod on only one feature map. - Tingsong Ma; Zengxi Huang; Nijing Yang; Changyu Zhu; Ping Deng 002 (Mach. Vis. Appl., 2024)

T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning. - Wei Chen 141; Hongjun Wang 002; Yinghui Zhang 005; Ping Deng 002; Zhipeng Luo; Tianrui Li 001 (ACM Trans. Intell. Syst. Technol., 2024)

DNSRF: Deep Network-based Semi-NMF Representation Framework. - Dexian Wang 001; Tianrui Li 001; Ping Deng 002; Zhipeng Luo; Pengfei Zhang 016; Keyu Liu; Wei Huang 037 (ACM Trans. Intell. Syst. Technol., 2024)

NDRIDC: NMF-based deep representation algorithm for incomplete data clustering. - Dexian Wang 001; Zonglin Li; Sha Yang; Tianrui Ren; Pengfei Zhang 016; Ping Deng 002; Tianrui Li 001 (Knowl. Based Syst., 2025)