[10]. Lu M, Yu S, Jenssen R, et al. Generalized Cauchy–Schwarz divergence: Efficient estimation and applications in deep learning[J]. Neurocomputing, 2025: 130904.

[9]. Lu M, Xing L, Chen B. Measuring generalized divergence for multiple distributions with application to deep clustering[J]. Pattern Recognition, 2025, 157: 110864.

[8]. Lu M, Zhang Q, Chen B. Divergence-guided disentanglement of view-common and view-unique representations for multi-view data[J]. Information Fusion, 2025, 114: 102661.

[7]. Lu M, Chen B. On the adversarial robustness of generative autoencoders in the latent space[J]. Neural Computing and Applications, 2024, 36(14): 8109-8123.

[6]. Lu M, Xing L, Zheng N, et al. Robust sparse channel estimation based on maximum mixture correntropy criterion[C]//2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020: 1-6.

[5]. Lu M, Chen B. Orthogonal Maximum Correntropy Learning[C]//2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2022: 1-6.

[4]. Zhou M, Lu M, Hu G, et al. Koopman operator-based integrated guidance and control for strap-down high-speed missiles[J]. IEEE Transactions on Control Systems Technology, 2024, 32(6): 2436-2443.

[3]. Zhang Q, Lu M, Yu S, et al. An information bottleneck approach for feature selection[J]. Pattern Recognition, 2025, 164: 111564.

[2]. Zhang Q, Lu M, Xin J, et al. Towards a robust multi-view information bottleneck using Cauchy–Schwarz divergence[J]. Information Fusion, 2025, 118: 102934.

[1]. Zhang Q, Lu M, Yu S, et al. Discovering common information in multi-view data[J]. Information Fusion, 2024, 108: 102400.