Songwei Wu

According to our database, Songwei Wu authored at least 7 papers between 2019 and 2026.

Collaborative distances:

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

2026

Temporally Coherent Imitation Learning via Latent Action Flow Matching for Robotic Manipulation.

Songwei Wu, Zhiduo Jiang, Guanghu Xie, Liu Yang, Liu Hong

CoRR, January, 2026

2025

HDCNet: A Hybrid Depth Completion Network for Grasping Transparent and Reflective Objects.

Guanghu Xie, Mingxu Li, Songwei Wu, Yang Liu, Zongwu Xie, Baoshi Cao, Hong Liu

CoRR, November, 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