Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network. - Yishun Liu; Chunhua Yang 001; Keke Huang; Weihua Gui 001 (Knowl. Based Syst., 2020)

Global Reconstruction of Complex Network Topology via Structured Compressive Sensing. - Jingchao Dai; Keke Huang; Yishun Liu; Chunhua Yang 001; Zhen Wang 004 (IEEE Syst. J., 2021)

Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity. - Keke Huang; Shijun Tao; Yishun Liu; Chunhua Yang 001; Weihua Gui 001 (Sci. China Inf. Sci., 2022)

A Systematic Procurement Supply Chain Optimization Technique Based on Industrial Internet of Things and Application. - Yishun Liu; Chunhua Yang 001; Keke Huang; Weihua Gui 001; Shiyan Hu 001 (IEEE Internet Things J., 2023)

Distributed Network Reconstruction Based on Binary Compressed Sensing via ADMM. - Yishun Liu; Keke Huang; Chunhua Yang 001; Zhen Wang 004 (IEEE Trans. Netw. Sci. Eng., 2023)

Cluster-based industrial KPIs forecasting considering the periodicity and holiday effect using LSTM network and MSVR. - Ziyuan Wang; Can Zhou; Yishun Liu; Keke Huang; Chunhua Yang 001 (Adv. Eng. Informatics, 2023)

Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning. - Keke Huang; Zui Tao; Yishun Liu; Bei Sun; Chunhua Yang 001; Weihua Gui 001; Shiyan Hu 001 (IEEE Trans. Cybern., 2023)

Sparse Adversarial Video Attack Based on Dual-Branch Neural Network on Industrial Artificial Intelligence of Things. - Wenfeng Deng; Chunhua Yang 001; Keke Huang; Yishun Liu; Weihua Gui 001; Jun Luo 001 (IEEE Trans. Ind. Informatics, 2024)

Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes. - Keke Huang; Zui Tao; Yishun Liu; Dehao Wu; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Data-Driven Raw Material Robust Procurement for Non-Ferrous Metal Smelter Under Price and Demand Uncertainties. - Yishun Liu; Weiping Liu; Shaochong Lin; Chunhua Yang 001; Keke Huang; Zuo-Jun Max Shen (IEEE Trans Autom. Sci. Eng., 2024)

Spatiotemporal uncertainty-aware predictive control for industrial distributed parameters systems. - Ziyuan Wang; Yishun Liu; Chunhua Yang 001 (Comput. Chem. Eng., 2025)

Quality-related fault detection for dynamic process based on quality-driven long short-term memory network and autoencoder. - Yishun Liu; Keke Huang; Benedict Jun Ma; Ke Wei 002; Yuxuan Li; Chunhua Yang 001; Weihua Gui 001 (Neural Networks, 2025)

A Weighted Deep Learning-Based Predictive Control for Multimode Nonlinear System With Industrial Applications. - Keke Huang; Wenpu Cao; Yishun Liu; Dehao Wu; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans Autom. Sci. Eng., 2025)

Data-Driven Two-Stage Robust Optimization Allocation and Loading for Salt Lake Chemical Enterprise Products Under Demand Uncertainty. - Yiyin Tang; Yalin Wang 003; Chenliang Liu; Qingkai Sui; Yishun Liu; Keke Huang; Weihua Gui 001 (IEEE CAA J. Autom. Sinica, 2025)

Dynamic optimal decision-making for scaling cleaning in the sodium aluminate solution evaporation process. - Liang Zhu; Jie Han 004; Zhuo Zhao; Yishun Liu; Kai Wang 024; Chunhua Yang 001 (Appl. Intell., 2025)