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Xusheng Qian
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2020 – today
- 2024
- [j10]Xusheng Qian
, Jisu Hu, Yi Zheng, He Huang, Zhiyong Zhou, Yakang Dai:
Safe dynamic sparse training of modified RBF networks for joint feature selection and classification. Neurocomputing 600: 128150 (2024) - [j9]Zhiyong Zhou, Pengfei Yin, Yuhang Liu, Jisu Hu, Xusheng Qian, Guangqiang Chen, Chunhong Hu, Yakang Dai:
Uncertain prediction of deformable image registration on lung CT using multi-category features and supervised learning. Medical Biol. Eng. Comput. 62(9): 2669-2686 (2024) - [j8]Pengcheng Dai
Joint Spectrum and Power Allocation in Wireless Network: A Two-Stage Multi-Agent Reinforcement Learning Method. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2364-2374 (2024) - [c4]Pengfei Yin, Jisu Hu, Xusheng Qian, Yakang Dai, Zhiyong Zhou:
CBCRnet: A Contrastive Learning-based Multi-modal Image Registration Via Bidirectional Cross-modal Attention. EMBC 2024: 1-4 - 2023
- [j7]Zhiyong Zhou, Shuaikun Wang
Unsupervised registration for liver CT-MR images based on the multiscale integrated spatial-weight module and dual similarity guidance. Comput. Medical Imaging Graph. 108: 102260 (2023) - [c3]Zhechen Zhou, Lang Cai, Pengfei Yin, Xusheng Qian, Yakang Dai, Zhiyong Zhou:
Narrow-band loss - a novel loss function focused on target boundary. EMBC 2023: 1-4 - 2021
- [j6]Ziyang Han, Xusheng Qian, He Huang, Tingwen Huang:
Efficient design of multicolumn RBF networks. Neurocomputing 450: 253-263 (2021) - [c2]Zhiyong Zhou, Xusheng Qian, Jisu Hu, Jianbing Zhu, Chen Geng, Yakang Dai:
A new machine learning based user-friendly software platform for automatic radiomics modeling and analysis. EMBC 2021: 2810-2814
2010 – 2019
- 2019
- [c1]Yi Yang, Jianbing Zhu, Zhiyong Zhou, Yakang Dai, Xusheng Qian:
An Effective Radiomics Model for Noninvasive Discrimination of Fat-poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma. SSCI 2019: 1551-1558 - 2018
- [j5]Jianlin Wang, He Huang
Sequence recognition of Chinese license plates. Neurocomputing 317: 149-158 (2018) - [j4]Rongrong Wu, He Huang, Xusheng Qian
A L-BFGS Based Learning Algorithm for Complex-Valued Feedforward Neural Networks. Neural Process. Lett. 47(3): 1271-1284 (2018) - 2017
- [j3]Xusheng Qian
Efficient construction of sparse radial basis function neural networks using L1-regularization. Neural Networks 94: 239-254 (2017) - [j2]Xusheng Qian
Generalized Hybrid Constructive Learning Algorithm for Multioutput RBF Networks. IEEE Trans. Cybern. 47(11): 3634-3648 (2017) - 2016
- [j1]Yuanshan Liu, He Huang
An improved maximum spread algorithm with application to complex-valued RBF neural networks. Neurocomputing 216: 261-267 (2016)
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