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Yishun Liu
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2020 – today
- 2025
[j16]Liang Zhu, Jie Han, Zhuo Zhao, Yishun Liu, Kai Wang, Chunhua Yang:
Dynamic optimal decision-making for scaling cleaning in the sodium aluminate solution evaporation process. Appl. Intell. 55(11): 782 (2025)
[j15]Ziyuan Wang, Yishun Liu, Chunhua Yang:
Spatiotemporal uncertainty-aware predictive control for industrial distributed parameters systems. Comput. Chem. Eng. 202: 109307 (2025)
[j14]Kai Wang
, Jiayi Zhang, Yishun Liu, Jie Han, Xiaofeng Yuan, Le Zhou:
Boosting industrial anomaly detection performance using generated artificial fault data. Eng. Appl. Artif. Intell. 160: 111991 (2025)
[j13]Yiyin Tang
, Yalin Wang
, Chenliang Liu
, Qingkai Sui
, Yishun Liu
, Keke Huang
, Weihua Gui
:
Data-Driven Two-Stage Robust Optimization Allocation and Loading for Salt Lake Chemical Enterprise Products Under Demand Uncertainty. IEEE CAA J. Autom. Sinica 12(5): 989-1003 (2025)
[j12]Yishun Liu, Keke Huang, Benedict Jun Ma
, Ke Wei
, Yuxuan Li, Chunhua Yang, Weihua Gui:
Quality-related fault detection for dynamic process based on quality-driven long short-term memory network and autoencoder. Neural Networks 181: 106819 (2025)
[j11]Keke Huang
, Wenpu Cao, Yishun Liu, Dehao Wu
, Chunhua Yang
, Weihua Gui
:
A Weighted Deep Learning-Based Predictive Control for Multimode Nonlinear System With Industrial Applications. IEEE Trans Autom. Sci. Eng. 22: 10814-10826 (2025)- 2024
[j10]Yishun Liu
, Weiping Liu, Shaochong Lin
, Chunhua Yang
, Keke Huang
, Zuo-Jun Max Shen
:
Data-Driven Raw Material Robust Procurement for Non-Ferrous Metal Smelter Under Price and Demand Uncertainties. IEEE Trans Autom. Sci. Eng. 21(4): 5852-5865 (2024)
[j9]Wenfeng Deng
, Chunhua Yang
, Keke Huang
, Yishun Liu
, Weihua Gui
, Jun Luo
:
Sparse Adversarial Video Attack Based on Dual-Branch Neural Network on Industrial Artificial Intelligence of Things. IEEE Trans. Ind. Informatics 20(7): 9385-9392 (2024)
[j8]Keke Huang
, Zui Tao, Yishun Liu, Dehao Wu
, Chunhua Yang
, Weihua Gui:
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes. IEEE Trans. Neural Networks Learn. Syst. 35(3): 2942-2955 (2024)- 2023
[j7]Ziyuan Wang
, Can Zhou, Yishun Liu, Keke Huang, Chunhua Yang:
Cluster-based industrial KPIs forecasting considering the periodicity and holiday effect using LSTM network and MSVR. Adv. Eng. Informatics 56: 101916 (2023)
[j6]Yishun Liu, Chunhua Yang
, Keke Huang
, Weihua Gui
, Shiyan Hu
:
A Systematic Procurement Supply Chain Optimization Technique Based on Industrial Internet of Things and Application. IEEE Internet Things J. 10(8, April 15): 7272-7292 (2023)
[j5]Keke Huang
, Zui Tao, Yishun Liu, Bei Sun, Chunhua Yang
, Weihua Gui, Shiyan Hu
:
Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning. IEEE Trans. Cybern. 53(6): 3974-3987 (2023)
[j4]Yishun Liu, Keke Huang
, Chunhua Yang
, Zhen Wang
:
Distributed Network Reconstruction Based on Binary Compressed Sensing via ADMM. IEEE Trans. Netw. Sci. Eng. 10(4): 2141-2153 (2023)- 2022
[j3]Keke Huang, Shijun Tao, Yishun Liu, Chunhua Yang, Weihua Gui:
Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity. Sci. China Inf. Sci. 65(1) (2022)- 2021
[j2]Jingchao Dai, Keke Huang
, Yishun Liu, Chunhua Yang
, Zhen Wang
:
Global Reconstruction of Complex Network Topology via Structured Compressive Sensing. IEEE Syst. J. 15(2): 1959-1969 (2021)- 2020
[j1]Yishun Liu, Chunhua Yang
, Keke Huang, Weihua Gui:
Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network. Knowl. Based Syst. 188 (2020)
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