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Shoubo Feng
ORCID
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 8
Top Topics
Moore Penrose
Learning Process
Chaotic Time Series
Riemannian Metric
Top Venues
IEEE Trans. Cybern.
ICONIP (4)
CoRR
IEEE Trans. Neural Networks Learn. Syst.
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Publications
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Junlong Lyu
,
Zhitang Chen
,
Shoubo Feng
Convergence guarantee for consistency models.
CoRR
(2023)
Shoubo Feng
,
Min Han
,
Jiadong Zhang
,
Tie Qiu
,
Weijie Ren
Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction.
IEEE Trans. Cybern.
52 (6) (2022)
Min Han
,
Weijie Li
,
Shoubo Feng
,
Tie Qiu
,
C. L. Philip Chen
Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction.
IEEE Trans. Neural Networks Learn. Syst.
32 (6) (2021)
Shoubo Feng
,
Weijie Ren
,
Min Han
,
Yen-Wei Chen
Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective.
Neural Networks
117 (2019)
Ping Guo
,
Dongbin Zhao
,
Min Han
,
Shoubo Feng
Pseudoinverse Learners: New Trend and Applications to Big Data.
INNSBDDL
(2019)
Min Han
,
Shoubo Feng
,
C. L. Philip Chen
,
Meiling Xu
,
Tie Qiu
Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction.
IEEE Trans. Knowl. Data Eng.
31 (9) (2019)
Weijie Li
,
Min Han
,
Shoubo Feng
Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA.
ICONIP (6)
(2018)
Shoubo Feng
,
Meiling Xu
,
Min Han
Online Chaotic Time Series Prediction Based on Square Root Kalman Filter Extreme Learning Machine.
ICONIP (4)
(2017)