- Fei Tan, Xiurui Hou, Jie Zhang 0049, Zhi Wei, Zhenyu Yan. A Deep Learning Approach to Competing Risks Representation in Peer-to-Peer Lending. IEEE Transactions on Neural Networks, 30(5):1565-1574, 2019.
- Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee. Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations. IEEE Transactions on Neural Networks, 30(4):1166-1179, 2019.
- Lu Yang, Qing Song, Yingqi Wu, Mengjie Hu. Attention Inspiring Receptive-Fields Network for Learning Invariant Representations. IEEE Transactions on Neural Networks, 30(6):1744-1755, 2019.
- James S. Smith, Bo Wu, Bogdan M. Wilamowski. Neural Network Training With Levenberg-Marquardt and Adaptable Weight Compression. IEEE Transactions on Neural Networks, 30(2):580-587, 2019.
- Shuwei Huo, Yuan Zhou 0006, Wei Xiang, Sun-Yuan Kung. Semisupervised Learning Based on a Novel Iterative Optimization Model for Saliency Detection. IEEE Transactions on Neural Networks, 30(1):225-241, 2019.
- Yifeng Li, Youlian Pan, Ziying Liu. Multiclass Nonnegative Matrix Factorization for Comprehensive Feature Pattern Discovery. IEEE Transactions on Neural Networks, 30(2):615-629, 2019.
- Shao-Bo Lin. Generalization and Expressivity for Deep Nets. IEEE Transactions on Neural Networks, 30(5):1392-1406, 2019.
- Ping Li 0006, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan. Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis. IEEE Transactions on Neural Networks, 30(4):1061-1075, 2019.
- Jiahu Qin, Weiming Fu, Yang Shi 0001, Huijun Gao, Yu Kang. Leader-Following Practical Cluster Synchronization for Networks of Generic Linear Systems: An Event-Based Approach. IEEE Transactions on Neural Networks, 30(1):215-224, 2019.
- Xinmei Tian, Ya Li, Tongliang Liu, Xinchao Wang, Dacheng Tao. Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space. IEEE Transactions on Neural Networks, 30(6):1818-1830, 2019.