基于RVM的多类分类概率输出方法 (Multi-class Probability Output Based on Relevance Vector Machine). - Rui Li 026; Xiaodan Wang (计算机科学, 2017)

Fruit Image Classification Based on MobileNetV2 with Transfer Learning Technique. - Qian Xiang; Xiaodan Wang; Rui Li 026; Guoling Zhang; Jie Lai; Qingshuang Hu (CSAE, 2019)

A Fast Two-Stage Extreme Learning Machine. - Jie Lai; Xiaodan Wang; Rui Li 026; Jinghao Gu (ICDLT, 2019)

L21-Norm Based Loss Function and Regularization Extreme Learning Machine. - Rui Li 026; Xiaodan Wang; Lei Lei 008; Yafei Song (IEEE Access, 2019)

Representation learning by hierarchical ELM auto-encoder with double random hidden layers. - Rui Li 026; Xiaodan Wang; Lei Lei 008; Chongming Wu (IET Comput. Vis., 2019)

Discriminative Auto-Encoder With Local and Global Graph Embedding. - Rui Li 026; Xiaodan Wang; Jie Lai; Yafei Song; Lei Lei 008 (IEEE Access, 2020)

Network Intrusion Detection Based on Conditional Wasserstein Generative Adversarial Network and Cost-Sensitive Stacked Autoencoder. - Guoling Zhang; Xiaodan Wang; Rui Li 026; Yafei Song; Jiaxing He; Jie Lai (IEEE Access, 2020)

One-dimension hierarchical local receptive fields based extreme learning machine for radar target HRRP recognition. - Xiaodan Wang; Rui Li 026; Jian Wang 056; Lei Lei 008; Yafei Song (Neurocomputing, 2020)

Stacked Fusion Supervised Auto-encoder with an Additional Classification Layer. - Rui Li 026; Xiaodan Wang; Wen Quan; Lei Lei 008 (Neural Process. Lett., 2020)

One-dimensional convolutional neural networks for high-resolution range profile recognition via adaptively feature recalibrating and automatically channel pruning. - Qian Xiang; Xiaodan Wang; Yafei Song; Lei Lei 008; Rui Li 026; Jie Lai (Int. J. Intell. Syst., 2021)

Robust and structural sparsity auto-encoder with L21-norm minimization. - Rui Li 026; Xiaodan Wang; Wen Quan; Yafei Song; Lei Lei 008 (Neurocomputing, 2021)

Hierarchical extreme learning machine with L21-norm loss and regularization. - Rui Li 026; Xiaodan Wang; Yafei Song; Lei Lei 008 (Int. J. Mach. Learn. Cybern., 2021)

FVAE: a regularized variational autoencoder using the Fisher criterion. - Jie Lai; Xiaodan Wang; Qian Xiang; Rui Li 026; Yafei Song (Appl. Intell., 2022)

SAR Target Recognition Based on Efficient Fully Convolutional Attention Block CNN. - Rui Li 026; Xiaodan Wang; Jian Wang 056; Yafei Song; Lei Lei 008 (IEEE Geosci. Remote. Sens. Lett., 2022)

Group-Fusion One-Dimensional Convolutional Neural Network for Ballistic Target High-Resolution Range Profile Recognition with Layer-Wise Auxiliary Classifiers. - Qian Xiang; Xiaodan Wang; Jie Lai; Yafei Song; Rui Li 026; Lei Lei 008 (Int. J. Comput. Intell. Syst., 2023)

Quadruplet depth-wise separable fusion convolution neural network for ballistic target recognition with limited samples. - Qian Xiang; Xiaodan Wang; Jie Lai; Lei Lei 008; Yafei Song; Jiaxing He; Rui Li 026 (Expert Syst. Appl., 2024)