Shoubo Feng

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

Min Han, Yen Wei Chen, Weijie Ren, 2019, Neural Networks.

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

C. L. Philip Chen, Tie Qiu, Min Han, 2019, IEEE Transactions on Knowledge and Data Engineering.

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

Tie Qiu, C L Philip Chen, Min Han, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Pseudoinverse Learners: New Trend and Applications to Big Data

Dongbin Zhao, Min Han, Ping Guo, 2019, INNSBDDL.

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

Tie Qiu, Weijie Ren, Min Han, 2020, IEEE Transactions on Cybernetics.

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

Min Han, Meiling Xu, Shoubo Feng, 2017, ICONIP.

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

Min Han, Weijie Li, Shoubo Feng, 2018, ICONIP.