Baicheng Pan

According to our database, Baicheng Pan authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Tensorized anchor alignment for incomplete multi-view clustering.

Yiran Cai, Hangjun Che, Wei Guo, Baicheng Pan, Man-Fai Leung

Neural Networks, 2026

2025

Diversity Embedding Deep Optimal Graph Regularized Nonnegative Matrix Factorization for Robust Multiview Clustering.

Hangjun Che, Chenglu Li, Baicheng Pan, Yuting Cao

IEEE Trans. Comput. Soc. Syst., October, 2025

Robust Deep Matrix Factorization With Low-Rank and Hypergraph Learning for Multi-View Data Processing.

Baicheng Pan, Hangjun Che, Chenglu Li, Hongfei Li

IEEE Trans. Consumer Electron., May, 2025

Weight consistency and cluster diversity based concept factorization for multi-view clustering.

Youyang Tao, Hangjun Che, Chenglu Li, Baicheng Pan, Man-Fai Leung

Digit. Signal Process., 2025

2024

Tensor Factorization With Sparse and Graph Regularization for Fake News Detection on Social Networks.

Hangjun Che, Baicheng Pan, Man-Fai Leung, Yuting Cao, Zheng Yan

IEEE Trans. Comput. Soc. Syst., August, 2024

Robust Weighted Low-Rank Tensor Approximation for Multiview Clustering With Mixed Noise.

Xinyu Pu, Hangjun Che, Baicheng Pan, Man-Fai Leung, Shiping Wen

IEEE Trans. Comput. Soc. Syst., June, 2024

Projected cross-view learning for unbalanced incomplete multi-view clustering.

Yiran Cai, Hangjun Che, Baicheng Pan, Man-Fai Leung, Cheng Liu, Shiping Wen

Inf. Fusion, May, 2024

Low-Rank Tensor Regularized Graph Fuzzy Learning for Multi-View Data Processing.

Baicheng Pan, Chuandong Li, Hangjun Che, Man-Fai Leung, Keping Yu

IEEE Trans. Consumer Electron., February, 2024

Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding.

Baicheng Pan, Chuandong Li, Hangjun Che

Eng. Appl. Artif. Intell., 2024

2023

Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning.

Baicheng Pan, Chuandong Li, Hangjun Che

Neural Networks, April, 2023