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2020 – today
- 2023
[j6]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)- 2022
- [j5]Bin Zhang, Hongmin Cai, Jiazhou Chen, Yu Hu, Jie Huang, Wentao Rong, Wanlin Weng, Qinjian Huang, Haiyan Wang, Hong Peng:
Fast and Accurate Clustering of Multiple Modality Data via Feature Matching. IEEE Trans. Cybern. 52(6): 5040-5050 (2022) - 2021
- [j4]Zhuohui Wei, Yue Zhang, Wanlin Weng, Jiazhou Chen, Hongmin Cai:
Survey and comparative assessments of computational multi-omics integrative methods with multiple regulatory networks identifying distinct tumor compositions across pan-cancer data sets. Briefings Bioinform. 22(3) (2021) - [j3]Dandan Lu, Yue Zhang, Ling Zhang, Haiyan Wang, Wanlin Weng, Li Li, Hongmin Cai:
Methods of privacy-preserving genomic sequencing data alignments. Briefings Bioinform. 22(6) (2021) - [c1]Guihua Tao, Wentao Rong, Wanlin Weng, Tingting Dan, Bin Zhang, Hongmin Cai:
Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training. ICANN (2) 2021: 307-318 - 2020
- [j2]Wanlin Weng, Weiwei Zhou, Jiazhou Chen, Hong Peng, Hongmin Cai:
Enhancing multi-view clustering through common subspace integration by considering both global similarities and local structures. Neurocomputing 378: 375-386 (2020) - [j1]Qinjian Huang, Yue Zhang, Hong Peng, Tingting Dan, Wanlin Weng, Hongmin Cai:
Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning. Neurocomputing 404: 340-350 (2020)
Coauthor Index
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