An Artificial Bee Colony algorithm with guide of global & local optima and asynchronous scaling factors for numerical optimization. - Jianjun Liu; Hongqiu Zhu; Qiang Ma; Lanlan Zhang; Honglei Xu (Appl. Soft Comput., 2015)

Optimal Control for Zinc Electrowinning Process With Current Switching. - Chunhua Yang 001; Shijun Deng; Yonggang Li; Hongqiu Zhu; Fanbiao Li (IEEE Access, 2017)

Flotation froth image texture extraction method based on deterministic tourist walks. - Jianqi Li; Binfang Cao; Hongqiu Zhu; Fangyan Nie (Multim. Tools Appl., 2017)

Promote of cooperation in networked multiagent system based on fitness control. - Wenfeng Deng; Keke Huang; Chunhua Yang 001; Hongqiu Zhu; Zhaofei Yu (Appl. Math. Comput., 2018)

Modeling, optimization, and control of solution purification process in zinc hydrometallurgy. - Bei Sun; Chunhua Yang 001; Hongqiu Zhu; Yonggang Li; Weihua Gui 001 (IEEE CAA J. Autom. Sinica, 2018)

Controllable-Domain-Based Fuzzy Rule Extraction for Copper Removal Process Control. - Bin Zhang 026; Chunhua Yang 001; Hongqiu Zhu; Peng Shi 001; Weihua Gui 001 (IEEE Trans. Fuzzy Syst., 2018)

Distributed Non-Convex Input-Constrained Consensus Problem for High-Order Discrete-Time Multi-Agent Systems Subject to Switching Topologies, and Time Delays. - Hongqiu Zhu; Yaozhong Wang; Pei Li (IEEE Access, 2019)

Multi-Objective Optimized Overlapping Peak Separation Algorithm for Simultaneous Detection of Copper and Cobalt by Ultraviolet-Visible Spectroscopy. - Fengbo Zhou; Hongqiu Zhu; Changgeng Li (IEEE Access, 2020)

Development of a Miniature Spectrometer Based on Ultraviolet-Visible Spectroscopy for Quantitative Analysis of Copper and Cobalt. - Fengbo Zhou; Changgeng Li; Hongqiu Zhu (IEEE Access, 2020)

Signal Enhancement Algorithm for On-Line Detection of Multi-Metal Ions Based on Ultraviolet-visible Spectroscopy. - Fengbo Zhou; Yonggang Li; Hongqiu Zhu; Can Zhou; Changgeng Li (IEEE Access, 2020)

A chance-constrained programming approach for a zinc hydrometallurgy blending problem under uncertainty. - Yu Chen 047; Yonggang Li; Bei Sun; Yudong Li; Hongqiu Zhu; Zhisheng Chen (Comput. Chem. Eng., 2020)

Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning. - Xiongtao Shi; Yonggang Li; Bei Sun; Honglei Xu; Chunhua Yang 001; Hongqiu Zhu (Neurocomputing, 2020)

Simultaneous Determination of Metal Ions in Zinc Sulfate Solution Using UV-Vis Spectrometry and SPSE-XGBoost Method. - Fei Cheng; Chunhua Yang 001; Can Zhou; Lijuan Lan; Hongqiu Zhu; Yonggang Li (Sensors, 2020)

Multivariate Regression Model for Industrial Process Measurement Based on Double Locally Weighted Partial Least Squares. - Junming Chen; Chunhua Yang 001; Can Zhou; Yonggang Li; Hongqiu Zhu; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2020)

A deep transfer learning method based on stacked autoencoder for cross-domain fault diagnosis. - Ziwei Deng; Zhuoyue Wang; Zhaohui Tang; Keke Huang; Hongqiu Zhu (Appl. Math. Comput., 2021)

Short Circuit Fault Detection against High Thermal Background Using a Two-Level Scheme Based on DoG Filter. - Xin Li 098; Yonggang Li; Hongqiu Zhu; Renchao Wu; Can Zhou (Complex., 2021)

Short Circuit Recognition for Metal Electrorefining Using an Improved Faster R-CNN With Synthetic Infrared Images. - Xin Li 098; Yonggang Li; Renchao Wu; Can Zhou; Hongqiu Zhu (Frontiers Neurorobotics, 2021)

A Similarity Method of Color Frequency Histogram With Dynamic Reference Frame for Image Visual Titrations. - Xiongbing Huang; Hongqiu Zhu; Can Zhou; Fei Cheng; Yonggang Li (IEEE Trans. Instrum. Meas., 2021)

A New Model Transfer Strategy Among Spectrometers Based on SVR Parameter Calibrating. - Can Zhou; Wentao Yu; Keke Huang; Hongqiu Zhu; Yonggang Li; Chunhua Yang 001; Bei Sun (IEEE Trans. Instrum. Meas., 2021)

Stacked maximal quality-driven autoencoder: Deep feature representation for soft analyzer and its application on industrial processes. - Junming Chen; Shaosheng Fan; Chunhua Yang 001; Can Zhou; Hongqiu Zhu; Yonggang Li (Inf. Sci., 2022)

Fault Detection of Wind Turbine Gearboxes Based on IBOA-ERF. - Mingzhu Tang; Chenhuan Cao; Huawei Wu; Hongqiu Zhu; Jun Tang; Zhonghui Peng; Yifan Wang (Sensors, 2022)

Fault Detection for Wind Turbine Blade Bolts Based on GSG Combined with CS-LightGBM. - Mingzhu Tang; Caihua Meng; Huawei Wu; Hongqiu Zhu; Jiabiao Yi; Jun Tang; Yifan Wang (Sensors, 2022)

Imbalance domain adaptation network with adversarial learning for fault diagnosis of rolling bearing. - Hongqiu Zhu; Ziyi Huang; Biliang Lu; Fei Cheng; Can Zhou (Signal Image Video Process., 2022)

A Multiple Light Scenes Suited Turbidity Analysis Method Based on Image Recognition and Information Fusion. - Can Zhou; Tianhao Liu; Hongqiu Zhu; Fanbiao Li; Keke Huang; Bei Sun; Yancho Todorov (IEEE Trans. Instrum. Meas., 2022)

A New Ion Concentration Detection Method Based on Spectral Matching and Fusion for Zinc Leaching Liquid. - Can Zhou; Wentao Yu; Ye Yang; Hongqiu Zhu; Bei Sun; Yonggang Li (IEEE Trans. Instrum. Meas., 2023)

A Model Transfer Method among Spectrometers Based on Improved Deep Autoencoder for Concentration Determination of Heavy Metal Ions by UV-Vis Spectra. - Hongqiu Zhu; Yi Shang; Qilong Wan; Fei Cheng; Haonan Hu; Tiebin Wu (Sensors, 2023)

An ensembled multilabel classification method for the short-circuit detection of electrolytic refining. - Yusi Dai; Chunhua Yang 001; Hongqiu Zhu; Can Zhou (Adv. Eng. Informatics, 2024)

Graph-based active semi-supervised learning: Case study in water quality monitoring. - Zesen Wang; Yonggang Li; Chunhua Yang 001; Hongqiu Zhu; Can Zhou (Adv. Eng. Informatics, 2024)

FM-AE: Frequency-masked Multimodal Autoencoder for Zinc Electrolysis Plate Contact Abnormality Detection. - Canzong Zhou; Can Zhou; Hongqiu Zhu; Tianhao Liu (CoRR, 2024)

DBFiLM: A novel dual-branch frequency improved legendre memory forecasting model for coagulant dosage determination. - Sibo Xia; Hongqiu Zhu; Ning Zhang; Fei Cheng; Yonggang Li; Can Zhou (Expert Syst. Appl., 2024)

Spiking autoencoder for nonlinear industrial process fault detection. - Bochun Yue; Kai Wang 024; Hongqiu Zhu; Xiaofeng Yuan; Chunhua Yang 001 (Inf. Sci., 2024)

Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes. - Chen Ou; Hongqiu Zhu; Yuri A. W. Shardt; Lingjian Ye; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2024)

Fast detection of short circuits in copper electrolytic refining with PCA and a branching perceptron. - Yusi Dai; Chunhua Yang 001; Hongqiu Zhu; Can Zhou; Xi Wang (Adv. Eng. Informatics, 2025)

An ORP prediction model for acid wastewater sulfidation process based on improved extreme learning machine. - Hongqiu Zhu; Yixin Lv; Minghui Liu; Can Zhou (Comput. Chem. Eng., 2025)

A metal electrorefining cell condition identification method with entropy-weighted pseudo labeling in label scarcity scenarios. - Tianhao Liu; Chunhua Yang 001; Can Zhou; Yonggang Li; Hongqiu Zhu (Expert Syst. Appl., 2025)

A Novel XRF System for Cadmium Detection in Zinc Solutions Based on an Improved Baseline Correction Method and an RF-LSSVM Model. - Yan Ou; Can Zhou; Hongqiu Zhu; Yonggang Li; Shan Ma (IEEE Trans. Instrum. Meas., 2025)

A Domain-Knowledge Embedded Framework for Soft Sensing in Complex Industrial Processes With Cascading Equipment. - Bochun Yue; Kai Wang 024; Hongqiu Zhu; Chunhua Yang 001 (IEEE Trans. Ind. Informatics, 2025)

Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors. - Chen Ou; Hongqiu Zhu; Yuri A. W. Shardt; Lingjian Ye; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Performance-Driven Distillation and Confident Pseudo Labeling for Semi-Supervised Industrial Soft-Sensor Application. - Bochun Yue; Kai Wang 024; Hongqiu Zhu; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Cybern., 2025)