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ORCIDFei Qi 0007
Person information
- affiliation: Guizhou Minzu University, Guiyang, China
- affiliation: South China University of Technology, Guangzhou, China
Other persons with the same name
- Fei Qi — disambiguation page
- Fei Qi 0001
![[0000-0002-2161-1551]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2161-1551")
— Xidian University, School of Artificial Intelligence, Xi'an, China - Fei Qi 0002 — China Telecom Corporation Limited Beijing Research Institute, Beijing, China (and 1 more)
- Fei Qi 0003 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China
- Fei Qi 0005 — Chongqing University, School of Automation, Chongqing, China
- Fei Qi 0006 — Technical University of Munich, Munich, Germany
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2020 – today
- 2025
[j7]Fei Qi, Junyu Li, Yue Zhang, Weitian Huang, Bin Hu, Hongmin Cai:
Tensorlized Multi-Kernel Clustering via Consensus Tensor Decomposition. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 406-418 (2025)- 2024
- [j6]Hongmin Cai, Yu Hu, Fei Qi, Bin Hu, Yiu-ming Cheung:
Deep Tensor Spectral Clustering Network via Ensemble of Multiple Affinity Tensors. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5080-5091 (2024) - [j5]Hongmin Cai, Yu Wang, Fei Qi, Zhuoyao Wang, Yiu-ming Cheung:
Multiview Tensor Spectral Clustering via Co-Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6795-6808 (2024) - [j4]Yue Zhang, Xin Sun, Hongmin Cai, Haiyan Wang, Jiazhou Chen, Endai Guo, Fei Qi, Junyu Li:
Collaborative Embedding Learning via Tensor Integration for Multi-View Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1841-1852 (2024) - [j3]Junyu Li, Fei Qi, Xin Sun, Bin Zhang, Xiangmin Xu, Hongmin Cai:
Unsupervised Feature Selection via Collaborative Embedding Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2529-2540 (2024) - [j2]Junyu Li, Fei Qi, Haoliang Yuan, Cheng Zhong, Hongmin Cai:
Stacked Network to Realize Spectral Clustering With Adaptive Graph Learning. IEEE Trans. Knowl. Data Eng. 36(7): 3501-3513 (2024) - [c3]Jinchen Yu, Yongwei Nie, Fei Qi, Wenxiong Liao, Hongmin Cai:
FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images. BIBM 2024: 3955-3960 - 2023
- [j1]Junyu Li, Jiazhou Chen, Fei Qi, Tingting Dan, Wanlin Weng, Bin Zhang, Haoliang Yuan, Hongmin Cai, Cheng Zhong:
Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter. IEEE Trans. Cybern. 53(9): 5605-5617 (2023) - [c2]Fei Qi, Junyu Li, Yi Liao, Wenxiong Liao, Jiazhou Chen, Hongmin Cai:
Multi-Kernel Tensor Fusion on Grassmann Manifold for Genomic Data Clustering. BIBM 2023: 609-615 - [c1]Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai:
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. BIBM 2023: 1294-1299 - [i1]Hongmin Cai, Fei Qi, Junyu Li, Yu Hu, Yue Zhang, Yiu-ming Cheung, Bin Hu:
Uniform tensor clustering by jointly exploring sample affinities of various orders. CoRR abs/2302.01569 (2023)
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