An improved maximum spread algorithm with application to complex-valued RBF neural networks. - Yuanshan Liu; He Huang 001; Tingwen Huang; Xusheng Qian (Neurocomputing, 2016)

Efficient construction of sparse radial basis function neural networks using L1-regularization. - Xusheng Qian; He Huang 001; Xiaoping Chen; Tingwen Huang (Neural Networks, 2017)

Generalized Hybrid Constructive Learning Algorithm for Multioutput RBF Networks. - Xusheng Qian; He Huang 001; Xiaoping Chen; Tingwen Huang (IEEE Trans. Cybern., 2017)

Sequence recognition of Chinese license plates. - Jianlin Wang; He Huang 001; Xusheng Qian; Jinde Cao; Yakang Dai (Neurocomputing, 2018)

A L-BFGS Based Learning Algorithm for Complex-Valued Feedforward Neural Networks. - Rongrong Wu; He Huang 001; Xusheng Qian; Tingwen Huang (Neural Process. Lett., 2018)

An Effective Radiomics Model for Noninvasive Discrimination of Fat-poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma. - Yi Yang; Jianbing Zhu; Zhiyong Zhou; Yakang Dai; Xusheng Qian (SSCI, 2019)

A new machine learning based user-friendly software platform for automatic radiomics modeling and analysis. - Zhiyong Zhou; Xusheng Qian; Jisu Hu; Jianbing Zhu; Chen Geng 002; Yakang Dai (EMBC, 2021)

Efficient design of multicolumn RBF networks. - Ziyang Han; Xusheng Qian; He Huang 001; Tingwen Huang (Neurocomputing, 2021)

Narrow-band loss - a novel loss function focused on target boundary. - Zhechen Zhou; Lang Cai; Pengfei Yin; Xusheng Qian; Yakang Dai; Zhiyong Zhou (EMBC, 2023)

Unsupervised registration for liver CT-MR images based on the multiscale integrated spatial-weight module and dual similarity guidance. - Zhiyong Zhou; Shuaikun Wang; Jisu Hu; Anqi Liu; Xusheng Qian; Chen Geng 002; Jian Zheng 001; Guangqiang Chen; Jiansong Ji; Yakang Dai (Comput. Medical Imaging Graph., 2023)

CBCRnet: A Contrastive Learning-based Multi-modal Image Registration Via Bidirectional Cross-modal Attention. - Pengfei Yin; Jisu Hu; Xusheng Qian; Yakang Dai; Zhiyong Zhou (EMBC, 2024)

A Cross Domain Authentication Scheme Based on Blockchain. - Pengyu Cui; Xusheng Qian; Xiuyong Zhang; Wei Wang 100; Chao Yang; Nan Zhang; Yuxiao Liu; Ao Xiong (IWCMC, 2024)

Safe dynamic sparse training of modified RBF networks for joint feature selection and classification. - Xusheng Qian; Jisu Hu; Yi Zheng; He Huang 001; Zhiyong Zhou; Yakang Dai (Neurocomputing, 2024)

Joint Spectrum and Power Allocation in Wireless Network: A Two-Stage Multi-Agent Reinforcement Learning Method. - Pengcheng Dai; He Wang 006; Huazhou Hou; Xusheng Qian; Wenwu Yu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Uncertain prediction of deformable image registration on lung CT using multi-category features and supervised learning. - Zhiyong Zhou; Pengfei Yin; Yuhang Liu; Jisu Hu; Xusheng Qian; Guangqiang Chen; Chunhong Hu; Yakang Dai (Medical Biol. Eng. Comput., 2024)

JHN-Seg: Multi-scale vascular segmentation via Joint Hierarchical Morphology learning and noisy label refinement. - Zhiyong Zhou; Zheyuan Zhang; Jisu Hu; Yudong Zhang; Xianhai Mao; Chen Geng 002; Xusheng Qian; Bo Peng 008; Bin Dai; Yakang Dai (Expert Syst. Appl., 2025)

BSA-Seg: A Bi-level sparse attention network combining narrow band loss for multi-target medical image segmentation. - Zhiyong Zhou; Zhechen Zhou; Xusheng Qian; Jisu Hu; Bo Peng 008; Chen Geng 002; Bin Dai; He Huang 001; Wenbin Zhang; Yakang Dai (Neural Networks, 2025)

Establishment of AI-assisted diagnosis of the infraorbital posterior ethmoid cells based on deep learning. - Ting Ni; Xusheng Qian; Qiang Zeng; Yingying Ma; Ziran Xie; Yakang Dai; Zigang Che (BMC Medical Imaging, 2025)