Shoubo Feng

According to our database, Shoubo Feng authored at least 8 papers between 2017 and 2023.

Collaborative distances:

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

2023

Convergence guarantee for consistency models.

Junlong Lyu, Zhitang Chen, Shoubo Feng

CoRR, 2023

2022

Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction.

Shoubo Feng, Min Han, Jiadong Zhang, Tie Qiu, Weijie Ren

IEEE Trans. Cybern., 2022

2021

Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction.

Min Han, Weijie Li, Shoubo Feng, Tie Qiu, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2021

2019

Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction.

Min Han, Shoubo Feng, C. L. Philip Chen, Meiling Xu, Tie Qiu

IEEE Trans. Knowl. Data Eng., 2019

Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective.

Shoubo Feng, Weijie Ren, Min Han, Yen-Wei Chen

Neural Networks, 2019

Pseudoinverse Learners: New Trend and Applications to Big Data.

Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

2018

Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA.

Weijie Li, Min Han, Shoubo Feng

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Online Chaotic Time Series Prediction Based on Square Root Kalman Filter Extreme Learning Machine.

Shoubo Feng, Meiling Xu, Min Han

Proceedings of the Neural Information Processing - 24th International Conference, 2017