Shengbing Tang

According to our database, Shengbing Tang authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Bayesian math word problem solvers with credibility level: know what they know and what they do not know.

Shengbing Tang, Bin He, Xinguo Yu

Neural Comput. Appl., July, 2025

Physics-informed multi-output Gaussian process for dynamical system modeling.

Shengbing Tang, Bin He, Xinguo Yu

Neural Networks, 2025

2024

Hologram Reasoning for Solving Algebra Problems with Geometry Diagrams.

Litian Huang, Xinguo Yu, Feng Xiong, Bin He, Shengbing Tang, Jiawen Fu

CoRR, 2024

2023

Actively learning dynamical systems using Bayesian neural networks.

Shengbing Tang, Kenji Fujimoto, Ichiro Maruta

Appl. Intell., December, 2023

2022

Actively Learning Gaussian Process Dynamical Systems Through Global and Local Explorations.

Shengbing Tang, Kenji Fujimoto, Ichiro Maruta

IEEE Access, 2022

Learning dynamical systems using a novel multiple-output Gaussian process model.

Shengbing Tang, Kenji Fujimoto, Ichiro Maruta

Proceedings of the ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11, 2022

2021

Learning Dynamic Systems Using Gaussian Process Regression with Analytic Ordinary Differential Equations as Prior Information.

Shengbing Tang, Kenji Fujimoto, Ichiro Maruta

IEICE Trans. Inf. Syst., 2021