An accelerated optimization algorithm for the elastic-net extreme learning machine. - Yuao Zhang; Yunwei Dai; Qingbiao Wu (Int. J. Mach. Learn. Cybern., 2022)

Over-relaxed multi-block ADMM algorithms for doubly regularized support vector machines. - Yunwei Dai; Yuao Zhang; Qingbiao Wu (Neurocomputing, 2023)

A Novel Regularization Paradigm for the Extreme Learning Machine. - Yuao Zhang; Yunwei Dai; Qingbiao Wu (Neural Process. Lett., 2023)

Sparse and Outlier Robust Extreme Learning Machine Based on the Alternating Direction Method of Multipliers. - Yuao Zhang; Yunwei Dai; Qingbiao Wu (Neural Process. Lett., 2023)

Generalized sparse radial basis function networks for multi-classification problems. - Yunwei Dai; Qingbiao Wu; Yuao Zhang (Appl. Soft Comput., 2024)

DAmpADF: A framework for DNS amplification attack defense based on Bloom filters and NAmpKeeper. - Yunwei Dai; Tao Huang 005; Shuo Wang 006 (Comput. Secur., 2024)

Generalized sparse and outlier-robust broad learning systems for multi-dimensional output problems. - Yuao Zhang; Yunwei Dai; Shuya Ke; Qingbiao Wu; Jing Li (Inf. Sci., 2024)

A pruning extreme learning machine with L2, 1/2 regularization for multi-dimensional output problems. - Yunwei Dai; Yuao Zhang; Qingbiao Wu (Int. J. Mach. Learn. Cybern., 2024)

Incremental and sequence learning algorithms for weighted regularized extreme learning machines. - Yuao Zhang; Yunwei Dai; Jing Li (Appl. Intell., 2024)