Yishun Liu

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

Yishun Liu, Chunhua Yang, Keke Huang et al. · Knowledge-Based Systems · 2019 · 248 citations

Forecasting Methodology, Predictive Analytics, Demand Forecasting +5

Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning

Keke Huang, Zui Tao, Yishun Liu et al. · IEEE Transactions on Cybernetics · 2022 · 70 citations

Engineering, Machine Learning, Industrial Engineering +24

Ensemble forecasting for product futures prices using variational mode decomposition and artificial neural networks

Weiping Liu, Chengzhu Wang, Yonggang Li et al. · Chaos Solitons & Fractals · 2021 · 60 citations

Forecasting Methodology, Probabilistic Forecasting, Engineering +11

Distributed dictionary learning for high-dimensional process monitoring

Keke Huang, Yiming Wu, Haofei Wen et al. · Control Engineering Practice · 2020 · 44 citations

Engineering, Machine Learning, Pattern Recognition +8

Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes

Keke Huang, Zui Tao, Yishun Liu et al. · IEEE Transactions on Neural Networks and Learning Systems · 2023 · 38 citations

Nonlinear System Identification, Sparse Identification, Control Method +14