SVM based soft sensor for antibiotic fermentation process. - Weimin Zhong; Daoying Pi; Youxian Sun (SMC, 2003)

An Approach of Nonlinear Model Multi-step-ahead Predictive Control Based on SVM. - Weimin Zhong; Daoying Pi; Youxian Sun (International Conference on Computational Science (3), 2005)

SVM Based Nonparametric Model Identification and Dynamic Model Control. - Weimin Zhong; Daoying Pi; Youxian Sun (ICNC (1), 2005)

SVM Based Internal Model Control for Nonlinear Systems. - Weimin Zhong; Daoying Pi; Youxian Sun; Chi Xu; Sizhen Chu (ISNN (2), 2006)

SVM Based Nonlinear Self-tuning Control. - Weimin Zhong; Daoying Pi; Chi Xu; Sizhen Chu (ISNN (2), 2006)

An Application of the Particle Swarm Optimization on the Gasoline Blending Process. - Hui Cheng; Weimin Zhong; Feng Qian 004 (ICAIC (2), 2011)

A data-driven soft sensor modeling for furnace temperature of Opposed Multi-Burner gasifier. - Jie Li; Weimin Zhong; Hui Cheng; Xiangdong Kong; Feng Qian 004 (ICNC, 2011)

Analysis of the Digital Home Wireless Meter Reading Interface Execution Process. - Hong Zheng; Yihong Wang; Weimin Zhong (CGC, 2012)

Designing closed-loop brain-machine interfaces with network of spiking neurons using MPC strategy. - Hongguang Pan; Baocang Ding; Weimin Zhong; Gautam Kumar; Mayuresh V. Kothare (ACC, 2015)

Fruit fly optimization algorithm based on differential evolution and its application on gasification process operation optimization. - Jinwei Niu; Weimin Zhong; Yi Liang; Na Luo; Feng Qian 004 (Knowl. Based Syst., 2015)

Control structure design of an industrial crude terephthalic acid hydropurification process with catalyst deactivation. - Zhi Li 067; Weimin Zhong; Xiaoqiang Wang; Na Luo; Feng Qian 004 (Comput. Chem. Eng., 2016)

An online performance monitoring using statistics pattern based kernel independent component analysis for non-Gaussian process. - Xin Peng 003; Ying Tian; Yang Tang; Wenli Du; Weimin Zhong; Feng Qian 004 (IECON, 2017)

Optimization of industrial boiler combustion control system based on genetic algorithm. - Hongguang Pan; Weimin Zhong; Zaiying Wang; Guoxin Wang (Comput. Electr. Eng., 2018)

Objective reduction particle swarm optimizer based on maximal information coefficient for many-objective problems. - Yi Liang; Wangli He; Weimin Zhong; Feng Qian 004 (Neurocomputing, 2018)

Fuzzy high-order hybrid clustering algorithm for swarm intelligence sets. - Weimin Zhong; Dayu Tan; Xin Peng 003; Yang Tang; Wangli He (Neurocomputing, 2018)

Secure impulsive synchronization control of multi-agent systems under deception attacks. - Wangli He; Xiaoyang Gao; Weimin Zhong; Feng Qian 004 (Inf. Sci., 2018)

Just-in-time learning for cement free lime prediction with empirical mode decomposition and database monitoring index. - Jinquan Zheng; Wenli Du; Weimin Zhong; Feng Qian 004 (ASCC, 2019)

Bipartite Tracking Consensus Control of Nonlinear High-Order Multi-Agent Systems Subject to Exogenous Disturbances. - Qiang Wang 043; Weimin Zhong; Jiapeng Xu; Wangli He; Dayu Tan (IEEE Access, 2019)

A novel approach to reconstruction based saliency detection via convolutional neural network stacked with auto-encoder. - Xinchen Lin; Yang Tang; Huaglory Tianfield; Feng Qian 004; Weimin Zhong (Neurocomputing, 2019)

Switching Stabilization for Type-2 Fuzzy Systems With Network-Induced Packet Losses. - Mengqi Xue; Yang Tang; Ligang Wu 001; Weimin Zhong; Feng Qian 004 (IEEE Trans. Cybern., 2019)

High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach. - Wei Du 003; Weimin Zhong; Yang Tang; Wenli Du; Yaochu Jin (IEEE Trans. Ind. Informatics, 2019)

The Construction Model of Logistics Park Information Management Platform Based on ESB. - Weimin Zhong (ATCI, 2020)

Trajectory Planning for Unmanned Aircraft Vehicle via Set-Valued Filter. - Hailong Qian; Weimin Zhong; Chaoqiang Zhao; Wenle Zhang; Yang Tang (IECON, 2020)

An Interval Type-2 Fuzzy Controller Based on Data-Driven Parameters Extraction for Cement Calciner Process. - Jinquan Zheng; Wenli Du; Ioana Nascu; Yuanming Zhu; Weimin Zhong (IEEE Access, 2020)

Data-driven robust optimization for crude oil blending under uncertainty. - Xin Dai; Xiaoqiang Wang; Renchu He; Wenli Du; Weimin Zhong; Liang Zhao; Feng Qian 004 (Comput. Chem. Eng., 2020)

A closed-loop BMI system design based on the improved SJIT model and the network of Izhikevich neurons. - Hongguang Pan; Wenyu Mi; Xinyu Lei; Weimin Zhong (Neurocomputing, 2020)

High-order fuzzy clustering algorithm based on multikernel mean shift. - Dayu Tan; Weimin Zhong; Chao Jiang; Xin Peng 003; Wangli He (Neurocomputing, 2020)

A novel path-based reproduction operator for multi-objective optimization. - Wenjiang Song; Wei Du 003; Chen Fan; Weimin Zhong; Feng Qian 004 (Swarm Evol. Comput., 2020)

Event-Triggered Control for Leader-Following Bipartite Bounded Consensus of Multi-agent Systems Under Quantized Information. - Qiang Wang 043; Wangli He; Dayu Tan; Weimin Zhong (IECON, 2021)

A deep learning-based robust optimization approach for refinery planning under uncertainty. - Cong Wang; Xin Peng 003; Chao Shang 002; Chen Fan; Liang Zhao; Weimin Zhong (Comput. Chem. Eng., 2021)

A Motor Rehabilitation BMI System Design Through Improving the SJIT Model and Introducing an MPC-based Auxiliary Controller. - Hongguang Pan; Wenyu Mi; Weimin Zhong; Jinggao Sun (Cogn. Comput., 2021)

Representation Evaluation Block-based Teacher-Student Network for the Industrial Quality-relevant Performance Modeling and Monitoring. - Dan Yang 011; Xin Peng 003; Yusheng Lu; Haojie Huang; Weimin Zhong (CoRR, 2021)

Automatic determining optimal parameters in multi-kernel collaborative fuzzy clustering based on dimension constraint. - Dayu Tan; Xin Peng 003; Qiang Wang 043; Weimin Zhong; Vladimir Mahalec (Neurocomputing, 2021)

A Sparse Nonstationary Trigonometric Gaussian Process Regression and Its Application on Nitrogen Oxide Prediction of the Diesel Engine. - Haojie Huang; Yedong Song; Xin Peng 003; Steven X. Ding; Weimin Zhong; Wei Du 003 (IEEE Trans. Ind. Informatics, 2021)

Model-Agnostic Meta-Learning With Optimal Alternative Scaling Value and Its Application to Industrial Soft Sensing. - Yusheng Lu; Xin Peng 003; Dan Yang 011; Minglei Yang 004; Weimin Zhong (IEEE Trans. Ind. Informatics, 2021)

A Circular Target Feature Detection Framework Based on DCNN for Industrial Applications. - Dayu Tan; Linggang Chen; Chao Jiang; Weimin Zhong; Wenli Du; Feng Qian 004; Vladimir Mahalec (IEEE Trans. Ind. Informatics, 2021)

Gaussian Process Regression With Maximizing the Composite Conditional Likelihood. - Haojie Huang; Zhongmei Li; Xin Peng 003; Steven X. Ding; Weimin Zhong (IEEE Trans. Instrum. Meas., 2021)

Bipartite consensus for a class of nonlinear multi-agent systems under switching topologies: A disturbance observer-based approach. - Qiang Wang 043; Wangli He; Lorenzo Zino; Dayu Tan; Weimin Zhong (Neurocomputing, 2022)

Fully distributed quantized secure bipartite consensus control of nonlinear multiagent systems subject to denial-of-service attacks. - Qiang Wang 043; Lorenzo Zino; Dayu Tan; Jiapeng Xu; Weimin Zhong (Neurocomputing, 2022)

Quality-relevant feature extraction method based on teacher-student uncertainty autoencoder and its application to soft sensors. - Yusheng Lu; Chao Jiang; Dan Yang 011; Xin Peng 003; Weimin Zhong (Inf. Sci., 2022)

Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values. - Yusheng Lu; Dan Yang 011; Zhongmei Li; Xin Peng 003; Weimin Zhong (Knowl. Based Syst., 2022)

Accurate and Fast Deep Evolutionary Networks Structured Representation Through Activating and Freezing Dense Networks. - Dayu Tan; Weimin Zhong; Xin Peng 003; Qiang Wang 043; Vladimir Mahalec (IEEE Trans. Cogn. Dev. Syst., 2022)

Observer-Based Secure Event-Triggered Bipartite Consensus Control of Linear Multiagent Systems Subject to Denial-of-Service Attacks. - Qiang Wang 043; Weilu Diao; Lorenzo Zino; Xin Peng 003; Weimin Zhong (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Fully Distributed Event-Triggered Bipartite Consensus of Linear Multi-Agent Systems With Quantized Communication. - Qiang Wang 043; Shifen Li; Wangli He; Weimin Zhong (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Neural Network Based on Windowed Convolutional Transformation to Extract Features in Time Domain and Its Application on Soft Sensing. - Yusheng Lu; Dan Yang 011; Zhongmei Li; Xin Peng 003; Weimin Zhong (IEEE Trans. Instrum. Meas., 2022)

Corrigendum to 'Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties' [Computers and Chemical Engineering 171 (2023) 108156]. - Xin Dai; Liang Zhao; Renchu He; Wenli Du; Weimin Zhong; Zhi Li 067; Feng Qian 004 (Comput. Chem. Eng., 2023)

OpenGCD: Assisting Open World Recognition with Generalized Category Discovery. - Fulin Gao; Weimin Zhong; Zhixing Cao; Xin Peng 003; Zhi Li 067 (CoRR, 2023)

Data-Driven Fault Compensation Tracking Control for Coupled Wastewater Treatment Process. - Peihao Du; Weimin Zhong; Xin Peng 003; Linlin Li 005; Zhi Li 067 (IEEE CAA J. Autom. Sinica, 2023)

Teacher-Student Uncertainty Autoencoder for the Process-Relevant and Quality-Relevant Fault Detection in the Industrial Process. - Dan Yang 011; Xin Peng 003; Yusheng Lu; Haojie Huang; Weimin Zhong (IEEE Trans. Artif. Intell., 2023)

Deep Bayesian Slow Feature Extraction With Application to Industrial Inferential Modeling. - Chao Jiang; Yusheng Lu; Weimin Zhong; Biao Huang 001; Dayu Tan; Wenjiang Song; Feng Qian 004 (IEEE Trans. Ind. Informatics, 2023)

Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties. - Xin Dai; Liang Zhao; Renchu He; Wenli Du; Weimin Zhong; Zhi Li 067; Feng Qian 004 (Comput. Chem. Eng., 2023)

Optimized Gaussian-Process-Based Probabilistic Latent Variable Modeling Framework for Distributed Nonlinear Process Monitoring. - Qingchao Jiang; Jiashi Jiang; Weimin Zhong; Xuefeng Yan (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Residual-triggered threshold decision and performance self-healing control for wastewater treatment process. - Peihao Du; Weimin Zhong; Xin Peng 003; Linlin Li 005; Xiaolong Wu (Inf. Sci., 2023)

Self-Healing Control for Wastewater Treatment Process Based on Variable-Gain State Observer. - Peihao Du; Weimin Zhong; Xin Peng 003; Linlin Li 005; Zhi Li 067 (IEEE Trans. Ind. Informatics, 2023)

A Novel Distributed Fault Diagnosis Scheme Toward Open-Set Scenarios Based on Extreme Value Theory. - Fulin Gao; Xin Peng 003; Dan Yang 011; Cheng Su; Linlin Li 005; Weimin Zhong (IEEE Trans. Ind. Informatics, 2023)

Nitrogen Oxides Concentration Estimation of Diesel Engines Based on a Sparse Nonstationary Trigonometric Gaussian Process Regression With Maximizing the Composite Likelihood. - Haojie Huang; Xin Peng 003; Wei Du 003; Steven X. Ding; Weimin Zhong (IEEE Trans. Ind. Electron., 2023)

A Neural Additive Domain Adaptation Network with Interpretability for Fault Detection in Various Operating Conditions. - Cheng Su; Weimin Zhong; Dan Yang 011; Linlin Li 005; Xin Peng 003 (ICIT, 2024)

Refinery planning optimization based on smart predict-then-optimize method under exogenous price uncertainty. - Cong Wang; Xin Peng 003; Liang Zhao; Weimin Zhong (Comput. Chem. Eng., 2024)

Artificial intelligence-assisted design of new chemical materials: a perspective. - Feng Qian 004; Wenli Du; Weimin Zhong; Yang Tang; Jingyi Lu (Sci. China Inf. Sci., 2024)

OWFD-UCPM: An open-world fault diagnosis scheme based on uncertainty calibration and prototype management. - Fulin Gao; Weimin Zhong; Qingchao Jiang; Xin Peng 003; Zhi Li 067 (Knowl. Based Syst., 2024)

Robust Sparse Gaussian Process Regression for Soft Sensing in Industrial Big Data Under the Outlier Condition. - Haojie Huang; Xin Peng 003; Wei Du 003; Weimin Zhong (IEEE Trans. Instrum. Meas., 2024)

A Transferable Ensemble Additive Network for Interpretable Prediction of Key Performance Indicators. - Cheng Su; Xin Peng 003; Dan Yang 011; Renzhi Lu; Haojie Huang; Weimin Zhong (IEEE Trans. Instrum. Meas., 2024)

Small-Object Feature-Enhanced Visual Segmentation Model Based on BlendMask for Evaluating Sludge Performance. - Zihao Wang; Xin Peng 003; Fulin Gao; Wei Li; Weimin Zhong (IEEE Trans. Instrum. Meas., 2024)

Regularized Wasserstein Distance-Based Joint Distribution Adaptation Approach for Fault Detection Under Variable Working Conditions. - Dan Yang 011; Xin Peng 003; Cheng Su; Linlin Li 005; Zhixing Cao; Weimin Zhong (IEEE Trans. Instrum. Meas., 2024)

Finite-Time Performance Mask Function-Based Distributed Privacy-Preserving Consensus: Case Study on Optimal Dispatch of Energy System. - Minxue Kong; Feifei Shen; Zhi Li 067; Xin Peng 003; Weimin Zhong (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Distributed secure consensus for multiagent systems based on removing intra-cluster coupling restrictions and its application to energy systems. - Minxue Kong; Feifei Shen; Peihao Du; Xin Peng 003; Weimin Zhong (Inf. Sci., 2024)

Multi-Level Medical Image Segmentation Network Based on Multi-Scale and Context Information Fusion Strategy. - Dayu Tan; Zhiyuan Yao; Xin Peng 003; Haiping Ma; Yike Dai; Yansen Su; Weimin Zhong (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Fault Effect Identification-Based Adaptive Performance Self-Recovery Control Strategy for Wastewater Treatment Process. - Peihao Du; Weimin Zhong; Xin Peng 003; Zhongmei Li; Linlin Li 005 (IEEE Trans. Ind. Informatics, 2024)

Hierarchical Fault Root Cause Identification in Plant-Wide Processes Using Distributed Direct Causality Analysis. - Qingchao Jiang; Wenjing Wang; Shutian Chen; Chunjian Pan; Weimin Zhong (IEEE Trans. Ind. Informatics, 2024)

Integration of Encoding and Temporal Forecasting: Toward End-to-End NOx Prediction for Industrial Chemical Process. - Han Jiang 005; Shucai Zhang; Wenyu Yang; Xin Peng 003; Weimin Zhong (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Two-Stage Multi-Target Domain Adaptation Framework for Prediction of Key Performance Indicators Based on Adversarial Network. - Cheng Su; Xin Peng 003; Dan Yang 011; Zhi Li 067; Xiaolong Wu; Weimin Zhong (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Large-Scale Data-Driven Optimization in Deep Modeling With an Intelligent Decision-Making Mechanism. - Dayu Tan; Yansen Su; Xin Peng 003; Hongtian Chen; Chunhou Zheng 001; Xingyi Zhang 001; Weimin Zhong (IEEE Trans. Cybern., 2024)

Transferable Deep Slow Feature Network With Target Feature Attention for Few-Shot Time-Series Prediction. - Dan Yang 011; Xin Peng 003; Chao Jiang; Xiaolong Wu; Steven X. Ding; Weimin Zhong (IEEE Trans. Ind. Informatics, 2024)

Partial Cross Mapping Based on Sparse Variable Selection for Direct Fault Root Cause Diagnosis for Industrial Processes. - Qingchao Jiang; Jiashi Jiang; Wenjing Wang; Chunjian Pan; Weimin Zhong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning. - Dayu Tan; Zheng Huang; Xin Peng 003; Weimin Zhong; Vladimir Mahalec (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Effective Semantic Segmentation Network With Multipath Attention for Industrial Meter Pointer Images. - Dayu Tan; Jinlong Wang; Yansen Su; Zhijun Zhang 006; Xin Peng 003; Chun-Hou Zheng 001; Weimin Zhong (IEEE Trans. Ind. Informatics, 2024)

A synchronous data-driven hybrid framework for optimizing hydrotreating units and hydrogen networks under uncertainty. - Shizhao Chen; Xin Peng 003; Chenglin Chang; Zhi Li 067; Weimin Zhong (Comput. Chem. Eng., 2025)

Multi-objective dispatch of integrated renewable power systems leveraging robust optimization in deep reinforcement learning. - Aoqun Ma; Zhi Li 067; Feifei Shen; Xin Peng 003; Yurong Liu; Weimin Zhong; Feng Qian 004 (Comput. Chem. Eng., 2025)

Causal explanation of nitrogen oxide emission predictions for fluid catalytic cracking unit based on convergent cross mapping: Predict the future and explain how. - Han Jiang 005; Shucai Zhang; Jingru Liu; Xin Peng 003; Weimin Zhong (Eng. Appl. Artif. Intell., 2025)

An efficient and lightweight adaptive network for three-dimensional medical image segmentation. - Dayu Tan; Manman Shi; Yansen Su; Xin Peng 003; Chunhou Zheng 001; Kaixun He; Weimin Zhong (Eng. Appl. Artif. Intell., 2025)

VGMTNet: A variational Gaussian mixture label transfer network for industrial fault diagnosis. - Weijun Wang; Qingchao Jiang; Xuefeng Yan; Weimin Zhong (Expert Syst. Appl., 2025)

Domain perceptive-pruning and fine-tuning the pre-trained model for heterogeneous transfer learning in cross domain prediction. - Dan Yang 011; Xin Peng 003; Xiaolong Wu; Haojie Huang; Linlin Li 005; Weimin Zhong (Expert Syst. Appl., 2025)

Mode Substitution and Constraint Implementation in Complex Dynamic Process Regulation: A Solution for Performance Self-Recovery. - Peihao Du; Weimin Zhong; Xin Peng 003; Linlin Li 005 (IEEE Trans Autom. Sci. Eng., 2025)

Deep Semantic Canonical Correlation Embedding for Zero-Shot Industrial Process Fault Diagnosis. - Zongyu Yao; Qingchao Jiang; Weimin Zhong; Xingsheng Gu (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Performer: A High-Performance Global-Local Model-Augmented With Dual Network Interaction Mechanism. - Dayu Tan; Linfeng Hua; Rui Hao; Qi Xu; Yansen Su; Chunhou Zheng 001; Weimin Zhong (IEEE Trans. Cogn. Dev. Syst., 2025)

Partial Information Perturbation-Based Specified Time Consensus With Asynchronous Switching: A Distributed Energy Dispatching Strategy. - Minxue Kong; Yurong Liu; Xin Peng 003; Shuai Tan; Weimin Zhong (IEEE Trans. Smart Grid, 2025)