Yunwei Dai

According to our database, Yunwei Dai authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

DNSLogzip: A Novel Approach to Fast and High-Ratio Compression for DNS Logs.

Yunwei Dai, Guyue Liu, Tao Huang, Shuo Wang, Yong Wang, Xingli Wu, Lei Song, Heshun Li, Chuang Wang, Fanglong Hu, Hong Sun, Yanan Li

Proceedings of the ACM SIGCOMM 2025 Conference, 2025

CFseq: A Framework for Constructing Compression-Friendly Field Sequences for Network Logs.

Yunwei Dai, Tao Huang, Shuo Wang, Yong Wang

Proceedings of the IEEE International Conference on Cluster Computing, 2025

2024

Incremental and sequence learning algorithms for weighted regularized extreme learning machines.

Yuao Zhang, Yunwei Dai, Jing Li

Appl. Intell., April, 2024

A pruning extreme learning machine with L_{2, 1/2} regularization for multi-dimensional output problems.

Yunwei Dai, Yuao Zhang, Qingbiao Wu

Int. J. Mach. Learn. Cybern., February, 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

DAmpADF: A framework for DNS amplification attack defense based on Bloom filters and NAmpKeeper.

Yunwei Dai, Tao Huang, Shuo Wang

Comput. Secur., 2024

Generalized sparse radial basis function networks for multi-classification problems.

Yunwei Dai, Qingbiao Wu, Yuao Zhang

Appl. Soft Comput., 2024

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., December, 2023

A Novel Regularization Paradigm for the Extreme Learning Machine.

Yuao Zhang, Yunwei Dai, Qingbiao Wu

Neural Process. Lett., December, 2023

Over-relaxed multi-block ADMM algorithms for doubly regularized support vector machines.

Yunwei Dai, Yuao Zhang, Qingbiao Wu

Neurocomputing, April, 2023

2022

An accelerated optimization algorithm for the elastic-net extreme learning machine.

Yuao Zhang, Yunwei Dai, Qingbiao Wu

Int. J. Mach. Learn. Cybern., 2022