周灿｜中南大学｜学者主页

2026

A physics-constrained gated ensemble learning model for XRF quantitative analysis of metallurgical solutions

Yihao He, Can Zhou, Yan Sun

Chemometrics and Intelligent Laboratory Systems

DOI

2026

High-frequency semantic hierarchical dynamic feature fusion network for chip surface defect detection

Fan Zhang, Binrong Pan, Yun Wang, Can Zhou, Yuqian Zhao, Ji’an Duan

Measurement Science and Technology

DOI

2026

Hyperspectral Band Selection for Zinc Concentrate Composition Prediction via Bayesian Nonparametric Segmentation and Multiobjective Optimization

Yan Sun, Can Zhou, Xueqian Yu, Xuheng Zhan

IEEE Transactions on Geoscience and Remote Sensing

DOI

2026

A probabilistic dual-attention gated temporal convolutional network for soft-sensor modeling for complex industrial processes

Zhou Zou, Can Zhou

Expert Systems with Applications

DOI

2026

PGSJLM: A physics-guided graph-series joint learning model for industrial soft sensing

Zhou Zou, Can Zhou

Knowledge-Based Systems

DOI

2026

An optimal control method for uncertain process industry based on working condition relevance and policy transfer

Can Zhou, Xuan Ouyang, Hongqiu Zhu, Tianhao Liu

Neurocomputing

DOI

2025

A multi-scale deep learning model with a two-stream temporal attention mechanism for matte temperature soft sensor in flash smelting

Zhou Zou, Can Zhou

Expert Systems With Applications，Vol. 279

DOI

2025

基于CNN和Transformer的轻量化电能质量扰动识别模型

张彼德，邱杰，娄广鑫，周灿，罗蜻清，李天倩

《电力工程技术》

2025

A Robust Reinforcement Learning Control Method for Uncertain Process Industry Based on Knowledge-Constrained Adversarial Perturbation

Tianhao Liu, Can Zhou, Yonggang Li, Bei Sun, Chunhua Yang

IEEE Transactions on Cybernetics

DOI

2025

Intra-inter modality learning for copper electrolysis short circuit detection

Hongmin Liu, Yao Chen, Can Zhou, Lixin Zhang, Yufan Hu

Advanced Engineering Informatics

DOI

2025

Event-Aware Multimodal Time-Series Forecasting via Symmetry-Preserving Graph-Based Cross-Regional Transfer Learning

Shu Cao, Can Zhou

Symmetry

DOI

2025

CAPR: An improved spectral variable selection algorithm for cobalt ion detection in zinc hydrometallurgy

Qilong Wan, Hongqiu Zhu, Chunhua Yang, Fei Cheng, Jianqiang Yuan, Can Zhou

Measurement

DOI

2025

A Reinforcement Learning Control Method for Process Industry Based on Implicit and Explicit Knowledge Extraction and Embedding

Tianhao Liu, Chunhua Yang, Can Zhou, Yonggang Li, Bei Sun

IEEE Transactions on Systems Man and Cybernetics Systems

DOI

2025

A multi-component concentration spectral modeling method with parallel drift resistance based on disorderly difference

Qilong Wan, Hongqiu Zhu, Chunhua Yang, Fei Cheng, Jianqiang Yuan, Can Zhou, Lijuan Lan

Talanta

DOI

2025

Fast detection of short circuits in copper electrolytic refining with PCA and a branching perceptron

Yusi Dai, Chunhua Yang, Hongqiu Zhu, Can Zhou, Xi Wang

Advanced Engineering Informatics

DOI

2025

Total Calibration-Free Gas Sensing and Its Optimization Based on ln-LC-WMS

Lijuan Lan, Yu Xie, Changsheng Zhang, Can Zhou, Yonggang Li, Dong Pan, Chunhua Yang, Weihua Gui

IEEE Sensors Journal

DOI

2025

Corrigendum to “A novel interval sparse evolutionary algorithm for efficient spectral variable selection” [Anal. Chim. Acta 1341 (2025) 343655]

Mingrui Li, Yonggang Li, Chunhua Yang, Hongqiu Zhu, Can Zhou

Analytica Chimica Acta

DOI

2025

A novel interval sparse evolutionary algorithm for efficient spectral variable selection

Mingrui Li, Yonggang Li, Yonggang Li, Chunhua Yang, Can Zhou, Can Zhou

Analytica Chimica Acta

DOI

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 Transactions on Instrumentation and Measurement

DOI

2025

Saliency-Guided Diffusion Model for Copper Electrolysis Short-Circuit Detection

Hongmin Liu, Yi Zhang, Can Zhou, Lixin Zhang, Yufan Hu

IEEE Transactions on Instrumentation and Measurement

DOI

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 Systems With Applications，Vol. 254

DOI

2024

A Low-Cost Full-Spectrum Acquisition Method Based on Compressed Sensing and its Application in Wastewater Detection

Mingrui Li, Yonggang Li, Chunhua Yang, Can Zhou

IEEE Transactions on Industrial Electronics

DOI

2024

A fitting method of unlabeled interference for spectra based on multi-stage cross optimization

Qilong Wan, Hongqiu Zhu, Chunhua Yang, Fei Cheng, Jianqiang Yuan, Can Zhou

Measurement

DOI

2024

An ensembled multilabel classification method for the short-circuit detection of electrolytic refining

Yusi Dai, Chunhua Yang, Hongqiu Zhu, Can Zhou

Advanced Engineering Informatics

DOI

2024

A zinc Electrowinning working condition recognition method based on multimodal information fusion

Geng She, Canzong Zhou, Can Zhou, Lili Chen

DOI

2024

Variable-Period Estimation of Process Industry Indicators Using Working Condition Semantic Representation and Mechanism-Guided Network Groups

Tianhao Liu, Chunhua Yang, Can Zhou, Jing Bo Zhao, Yonggang Li, Bei Sun

IEEE Transactions on Industrial Informatics

DOI

2024

A cobalt ion concentration detection model with temperature interference resistance via a novel contrastive neural network

Qilong Wan, Hongqiu Zhu, Chunhua Yang, Fei Cheng, Jianqiang Yuan, Can Zhou

Microchemical Journal

DOI

2024

A Defect Data Compensation Model for Infrared Thermal Imaging Based on Bi-LSTM with Attention Mechanism

Fei Cheng, Peng Lei, Hongqiu Zhu, Can Zhou, Yusi Dai, Tianyu Peng

JOM

DOI

2024

A Gaussian-mixture-model based peak splitting method in X-ray fluorescence for high concentration ratio solution

Can Zhou, Jiali Wu, Tianhao Liu, Hongqiu Zhu, Hongmin Liu, Bei Sun

Measurement

DOI

2024

A UV–Vis spectroscopic detection method for cobalt ions in zinc sulfate solution based on discrete wavelet transform and extreme gradient boosting

Hongqiu Zhu, Jianqiang Yuan, Qilong Wan, Fei Cheng, Xinran Dong, Sibo Xia, Can Zhou

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy

DOI

2024

Automatic detection system with efficient and accurate sample preparation for cobalt ion concentration in zinc hydrometallurgy

Qilong Wan, Hongqiu Zhu, Fei Cheng, Jianqiang Yuan, Chunhua Yang, Can Zhou

Microchemical Journal

DOI

2024

MXene-Based Skin-Like Hydrogel Sensor and Machine Learning-Assisted Handwriting Recognition.

Fengying Wang, Dengke Song, Can Zhou, Xusheng Li, Yang Huang, Wenlong Xu, Gui-Jing Liu, Song Zhou

ACS Applied Materials and Interfaces

DOI

2023

AIR-CNN: a lightweight automatic image rectification CNN used for barrel distortion

Can Zhou, Canzong Zhou, Hongqiu Zhu, Tianhao Liu

Measurement Science and Technology

DOI

2023

A Scattered Liquid Component Analysis Approach Based on Spectral Visual Encoding and Fusion

Tianhao Liu, Can Zhou, Chenyu Fang, Hongqiu Zhu, Yonggang Li, Jiali Wu

IEEE Sensors Journal

DOI

2023

Automatic infrared image distortion correction of electrolytic cells based on refined edge lines

Yusi Dai, Chunhua Yang, Hongqiu Zhu, Can Zhou, Kai Wang

Measurement

DOI

2023

Integrated Optimal Control for Electrolyte Temperature With Temporal Causal Network and Reinforcement Learning

Tianhao Liu, Chunhua Yang, Can Zhou, Yonggang Li, Bei Sun

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

A Fuzzy Control Method Based on Rule Extraction for Zinc Leaching Process of Zinc Hydrometallurgy

Hongqiu Zhu, Yi Shang, Junbo Du, Can Zhou, Xuebin Liu

Mining Metallurgy & Exploration

DOI

2023

A multimode structured prediction model based on dynamic attribution graph attention network for complex industrial processes

Bei Sun, Mingjie Lv, Can Zhou, Yonggang Li

Information Sciences

DOI

2023

Hybrid Model of Mass-Concentration Conservation and Neural Network for Zinc Leaching

Can Zhou, Cihang Cheng, Keke Huang, Chunhua Yang

JOM

DOI

2023

An attention-based long short-term memory prediction model for working conditions of copper electrolytic plates

Hongqiu Zhu, Lei Peng, Can Zhou, Yusi Dai, Tianyu Peng

Measurement Science and Technology

DOI

2023

A novel total nitrogen prediction method based on recurrent neural networks utilizing cross-coupling attention and selective attention

Jingxuan Geng, Chunhua Yang, Lijuan Lan, Yonggang Li, Jie Han, Can Zhou

Neurocomputing

DOI

2022

锌电解行车自适应在线轨迹规划方法及应用

唐峰润，阳春华，李勇刚，朱红求，李繁飙，周灿

《控制理论与应用》

2022

A New Ion Concentration Detection Method Based on Spectral Matching and Fusion for Zinc Leaching Liquid

Can Zhou, Wentao Yu, Yang Ye, Hongqiu Zhu, Bei Sun, Yonggang Li

IEEE Transactions on Instrumentation and Measurement

DOI

2022

A self-calibration model building method for rapid total nitrogen detection based on semi-supervised learning

Jingxuan Geng, Chunhua Yang, Yonggang Li, Fengxue Zhang, Jie Han, Can Zhou

Measurement

DOI

2022

A direct and rapid method for determination of total iron in environmental samples and hydrometallurgy using UV–Vis spectrophotometry

Fei Cheng, Taiming Zhang, Chunhua Yang, Hongqiu Zhu, Yonggang Li, Tao Sun, Can Zhou

Microchemical Journal

DOI

2022

Fault detection of electrolyzer plate based on improved Mask R-CNN and infrared images

Hongqiu Zhu, Tianyu Peng, Yusi Dai, Can Zhou, Bei Sun

Measurement Science and Technology

DOI

2022

Stacked maximal quality-driven autoencoder: Deep feature representation for soft analyzer and its application on industrial processes

Junming Chen, Shaosheng Fan, Chunhua Yang, Can Zhou, Hongqiu Zhu, Yonggang Li

Information Sciences

DOI

2022

Online rapid total nitrogen detection method based on UV spectrum and spatial interval permutation combination population analysis

Jingxuan Geng, Chunhua Yang, Lijuan Lan, Yonggang Li, Jie Han, Can Zhou

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy

DOI

2022

A Review: Modeling of pH Probability Density Distribution in Zinc Hydrometallurgy Based on Gaussian Mixture Model

Hongqiu Zhu, Junbo Du, Can Zhou, Yonggang Li

JOM

DOI

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 V. Todorov

IEEE Transactions on Instrumentation and Measurement

DOI

2022

A Novel Semisupervised Regression Method for Online Total Nitrogen Detection Using Double Structural Sparse Feature Extraction

Jingxuan Geng, Chunhua Yang, Yonggang Li, Fengxue Zhang, Lijuan Lan, Jie Han, Can Zhou

IEEE Transactions on Instrumentation and Measurement

DOI

2021

Series Dynamic Hybrid Model Based on Material Conservation and Neural Networks for Oxidation Leaching Process

Cihang Cheng, Keke Huang, Can Zhou, Yonggang Li

IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)

DOI

2021

Nonstationary and Multirate Process Monitoring by Using Common Trends and Multiple Probability Principal Component Analysis

Can Zhou, Tianhao Liu, Hongqiu Zhu, Yonggang Li, Fanbiao Li

Industrial & Engineering Chemistry Research

DOI

2021

Short Circuit Recognition for Metal Electrorefining Using an Improved Faster R-CNN With Synthetic Infrared Images

Xin Li, Yonggang Li, Renchao Wu, Can Zhou, Hongqiu Zhu

Frontiers in Neurorobotics

DOI

2021

Endpoint Prediction of Copper Converter Blowing Based on Artificial Bee Colony Algorithm and Regularized Extreme Learning Machine

Yujie Wang, Can Zhou, Yonggang Li, Tianhao Liu

China Automation Congress (CAC)

DOI

2021

Event-triggered asynchronous sliding mode control of CSTR based on Markov model

Fanbiao Li, Xiuying Cao, Can Zhou, Chunhua Yang

Journal of the Franklin Institute

DOI

2021

Robust Structure Identification of Industrial Cyber-Physical System From Sparse Data: A Network Science Perspective

Yichi Zhang, Chunhua Yang, Keke Huang, Can Zhou, Yonggang Li

IEEE Transactions on Automation Science and Engineering

DOI

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, Bei Sun

IEEE Transactions on Instrumentation and Measurement

DOI

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 Transactions on Instrumentation and Measurement

DOI

2021

Short Circuit Fault Detection against High Thermal Background Using a Two‐Level Scheme Based on DoG Filter

Xin Li, Yonggang Li, Hongqiu Zhu, Renchao Wu, Can Zhou

Complexity

DOI

2020

Simultaneous Determination of Metal Ions in Zinc Sulfate Solution Using UV–Vis Spectrometry and SPSE-XGBoost Method

Fei Cheng, Chunhua Yang, Can Zhou, Lijuan Lan, Hongqiu Zhu, Yonggang Li

Sensors

DOI

2020

Transfer Dictionary Learning Method for Cross-Domain Multimode Process Monitoring and Fault Isolation

Keke Huang, Haofei Wen, Can Zhou, Chunhua Yang, Weihua Gui

IEEE Transactions on Instrumentation and Measurement

DOI

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

DOI

2019

Multivariate Regression Model for Industrial Process Measurement Based on Double Locally Weighted Partial Least Squares

Junming Chen, Chunhua Yang, Can Zhou, Yonggang Li, Hongqiu Zhu, Weihua Gui

IEEE Transactions on Instrumentation and Measurement

DOI

精选作品

期刊论文

A physics-constrained gated ensemble learning model for XRF quantitative analysis of metallurgical solutions

High-frequency semantic hierarchical dynamic feature fusion network for chip surface defect detection

Hyperspectral Band Selection for Zinc Concentrate Composition Prediction via Bayesian Nonparametric Segmentation and Multiobjective Optimization

A probabilistic dual-attention gated temporal convolutional network for soft-sensor modeling for complex industrial processes

PGSJLM: A physics-guided graph-series joint learning model for industrial soft sensing

An optimal control method for uncertain process industry based on working condition relevance and policy transfer

A multi-scale deep learning model with a two-stream temporal attention mechanism for matte temperature soft sensor in flash smelting

基于CNN和Transformer的轻量化电能质量扰动识别模型

A Robust Reinforcement Learning Control Method for Uncertain Process Industry Based on Knowledge-Constrained Adversarial Perturbation

Intra-inter modality learning for copper electrolysis short circuit detection

Event-Aware Multimodal Time-Series Forecasting via Symmetry-Preserving Graph-Based Cross-Regional Transfer Learning

CAPR: An improved spectral variable selection algorithm for cobalt ion detection in zinc hydrometallurgy

A Reinforcement Learning Control Method for Process Industry Based on Implicit and Explicit Knowledge Extraction and Embedding

A multi-component concentration spectral modeling method with parallel drift resistance based on disorderly difference

Fast detection of short circuits in copper electrolytic refining with PCA and a branching perceptron

Total Calibration-Free Gas Sensing and Its Optimization Based on ln-LC-WMS

Corrigendum to “A novel interval sparse evolutionary algorithm for efficient spectral variable selection” [Anal. Chim. Acta 1341 (2025) 343655]

A novel interval sparse evolutionary algorithm for efficient spectral variable selection

A Novel XRF System for Cadmium Detection in Zinc Solutions Based on an Improved Baseline Correction Method and an RF-LSSVM Model

Saliency-Guided Diffusion Model for Copper Electrolysis Short-Circuit Detection

DBFiLM: A novel dual-branch frequency improved legendre memory forecasting model for coagulant dosage determination

A Low-Cost Full-Spectrum Acquisition Method Based on Compressed Sensing and its Application in Wastewater Detection

A fitting method of unlabeled interference for spectra based on multi-stage cross optimization

An ensembled multilabel classification method for the short-circuit detection of electrolytic refining

A zinc Electrowinning working condition recognition method based on multimodal information fusion

Variable-Period Estimation of Process Industry Indicators Using Working Condition Semantic Representation and Mechanism-Guided Network Groups

A cobalt ion concentration detection model with temperature interference resistance via a novel contrastive neural network

A Defect Data Compensation Model for Infrared Thermal Imaging Based on Bi-LSTM with Attention Mechanism

A Gaussian-mixture-model based peak splitting method in X-ray fluorescence for high concentration ratio solution

A UV–Vis spectroscopic detection method for cobalt ions in zinc sulfate solution based on discrete wavelet transform and extreme gradient boosting

Automatic detection system with efficient and accurate sample preparation for cobalt ion concentration in zinc hydrometallurgy

MXene-Based Skin-Like Hydrogel Sensor and Machine Learning-Assisted Handwriting Recognition.

AIR-CNN: a lightweight automatic image rectification CNN used for barrel distortion

A Scattered Liquid Component Analysis Approach Based on Spectral Visual Encoding and Fusion

Automatic infrared image distortion correction of electrolytic cells based on refined edge lines

Integrated Optimal Control for Electrolyte Temperature With Temporal Causal Network and Reinforcement Learning

A Fuzzy Control Method Based on Rule Extraction for Zinc Leaching Process of Zinc Hydrometallurgy

A multimode structured prediction model based on dynamic attribution graph attention network for complex industrial processes

Hybrid Model of Mass-Concentration Conservation and Neural Network for Zinc Leaching

An attention-based long short-term memory prediction model for working conditions of copper electrolytic plates

A novel total nitrogen prediction method based on recurrent neural networks utilizing cross-coupling attention and selective attention

锌电解行车自适应在线轨迹规划方法及应用

A New Ion Concentration Detection Method Based on Spectral Matching and Fusion for Zinc Leaching Liquid

A self-calibration model building method for rapid total nitrogen detection based on semi-supervised learning

A direct and rapid method for determination of total iron in environmental samples and hydrometallurgy using UV–Vis spectrophotometry

Fault detection of electrolyzer plate based on improved Mask R-CNN and infrared images

Stacked maximal quality-driven autoencoder: Deep feature representation for soft analyzer and its application on industrial processes

Online rapid total nitrogen detection method based on UV spectrum and spatial interval permutation combination population analysis

A Review: Modeling of pH Probability Density Distribution in Zinc Hydrometallurgy Based on Gaussian Mixture Model

A Multiple Light Scenes Suited Turbidity Analysis Method Based on Image Recognition and Information Fusion

A Novel Semisupervised Regression Method for Online Total Nitrogen Detection Using Double Structural Sparse Feature Extraction

Series Dynamic Hybrid Model Based on Material Conservation and Neural Networks for Oxidation Leaching Process

Nonstationary and Multirate Process Monitoring by Using Common Trends and Multiple Probability Principal Component Analysis

Short Circuit Recognition for Metal Electrorefining Using an Improved Faster R-CNN With Synthetic Infrared Images

Endpoint Prediction of Copper Converter Blowing Based on Artificial Bee Colony Algorithm and Regularized Extreme Learning Machine

Event-triggered asynchronous sliding mode control of CSTR based on Markov model

Robust Structure Identification of Industrial Cyber-Physical System From Sparse Data: A Network Science Perspective

A New Model Transfer Strategy Among Spectrometers Based on SVR Parameter Calibrating

A Similarity Method of Color Frequency Histogram With Dynamic Reference Frame for Image Visual Titrations

Short Circuit Fault Detection against High Thermal Background Using a Two‐Level Scheme Based on DoG Filter

Simultaneous Determination of Metal Ions in Zinc Sulfate Solution Using UV–Vis Spectrometry and SPSE-XGBoost Method

Transfer Dictionary Learning Method for Cross-Domain Multimode Process Monitoring and Fault Isolation

Signal Enhancement Algorithm for On-Line Detection of Multi-Metal Ions Based on Ultraviolet-visible Spectroscopy

Multivariate Regression Model for Industrial Process Measurement Based on Double Locally Weighted Partial Least Squares

预印本

Capr: An Effective Alternative Variable Selection Algorithm of Cars

研究方向