Songwei Wu

According to our database, Songwei Wu authored at least 5 papers between 2019 and 2025.

Collaborative distances:

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

2025

A data-driven method approach for prediction of coal seam gas content combining feature selection and machine learning.

Sheng Su, Liang Wang, Songwei Wu, Yuechen Zhao, Chenghao Wang, Longyong Shu

Eng. Appl. Artif. Intell., 2025

2023

Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes.

Hang Yu, Songwei Wu, Justin Dauwels

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2020

Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination.

Hang Yu, Songwei Wu, Luyin Xin, Justin Dauwels

J. Mach. Learn. Res., 2020

Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization.

Songwei Wu, Hang Yu, Justin Dauwels

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection.

Songwei Wu, Hang Yu, Justin Dauwels

Proceedings of the IEEE International Conference on Acoustics, 2019