Fei Qi

Orcid: 0000-0001-7128-7764

Affiliations:
  • Guizhou Minzu University, Guiyang, China
  • South China University of Technology, Guangzhou, China


According to our database1, Fei Qi authored at least 12 papers between 2023 and 2025.

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Bibliography

2025
Discriminating Tensor Spectral Clustering for High-Dimension-Low-Sample-Size Data.
IEEE Trans. Neural Networks Learn. Syst., May, 2025

Uniform Tensor Clustering by Jointly Exploring Sample Affinities of Various Orders.
IEEE Trans. Neural Networks Learn. Syst., May, 2025

Tensorlized Multi-Kernel Clustering via Consensus Tensor Decomposition.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2025

2024
Multiview Tensor Spectral Clustering via Co-Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Stacked Network to Realize Spectral Clustering With Adaptive Graph Learning.
IEEE Trans. Knowl. Data Eng., July, 2024

Unsupervised Feature Selection via Collaborative Embedding Learning.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Collaborative Embedding Learning via Tensor Integration for Multi-View Clustering.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Deep Tensor Spectral Clustering Network via Ensemble of Multiple Affinity Tensors.
IEEE Trans. Pattern Anal. Mach. Intell., 2024

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter.
IEEE Trans. Cybern., September, 2023

Multi-Kernel Tensor Fusion on Grassmann Manifold for Genomic Data Clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023


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