Qun Zhu

发表

Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables.

Zhiqiang Geng, Yuan Xu, Yanlin He, 2016, ISA transactions.

An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost

Yang Zhang, Yuan Xu, Yanlin He, 2022, IEEE Transactions on Instrumentation and Measurement.

Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis

Yuan Xu, Yanlin He, Qun Zhu, 2022, IEEE Transactions on Instrumentation and Measurement.

A New Distributed Echo State Network Integrated With an Auto-Encoder for Dynamic Soft Sensing

Sha Lu, Yuan Xu, Yanlin He, 2023, IEEE Transactions on Instrumentation and Measurement.

A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2019, IEEE Transactions on Control Systems Technology.

An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap

Yuan Xu, Yanlin He, Qun Zhu, 2022, 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).

Executable Program Slicing

Qun Xiong Zhu, Zhi Qiang Geng, Sheng Hui Shi, 2012 .

A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement.

Yan-Lin He, Yuan Xu, Zhi-Qiang Geng, 2015, ISA transactions.

Energy Efficiency Analysis Using a Novel VSG Based DEA: A Case Study of Ethylene Production Plants

Yan-Lin He, Yuan Xu, Qun-Xiong Zhu, 2018, 2018 Chinese Automation Congress (CAC).

A novel density ratio‐based batch active learning fault diagnosis method integrated with adaptive Laplacian graph trimming

Yang Zhang, Yuan Xu, Yanlin He, 2023, Canadian Journal of Chemical Engineering.

3D zebrafish tracking with topology association

Yang Zhang, Yuan Xu, Yanlin He, 2022, IET Image Process..

Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis

Yuan Xu, Yanlin He, Qun Zhu, 2023, IEEE Transactions on Instrumentation and Measurement.

Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis

Yan-Lin He, Yi Luo, Qunxiong Zhu, 2019, Industrial & Engineering Chemistry Research.

Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing

Yanlin He, Qun Zhu, Xingbao Li, 2023, Eng. Appl. Artif. Intell..

Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data

Yuan Xu, Yanlin He, Qun Zhu, 2021, Industrial & Engineering Chemistry Research.

An Improved Virtual Sample Generation Method Based on Quadrat Density Method and Quantile Regression for Small Sample Size Problem

Yuan Xu, Yanlin He, Qun Zhu, 2021, 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS).

Novel manifold learning based virtual sample generation for optimizing soft sensor with small data.

Yan-Lin He, Yuan Xu, Xiao-Han Zhang, 2020, ISA transactions.

Dealing with small sample size problems in process industry using virtual sample generation: a Kriging-based approach

A. Rajabifard, Yiqun Chen, Yuan Xu, 2019, Soft Computing.

Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes

Yuan Xu, Yan-Lin He, Qunxiong Zhu, 2020 .

Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small data

Yuan Xu, Yanlin He, Qun Zhu, 2023, Expert systems with applications.

Farthest-Nearest Distance Neighborhood and Locality Projections Integrated With Bootstrap for Industrial Process Fault Diagnosis

Yuan Xu, Yanlin He, Qun Zhu, 2023, IEEE Transactions on Industrial Informatics.

Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes

Yuan Xu, Yanlin He, Qun Zhu, 2023, IEEE Transactions on Reliability.

Co-training based virtual sample generation for solving the small sample size problem in process industry.

Yuan Xu, Yanlin He, Qun Zhu, 2022, ISA transactions.

A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing

Yanlin He, Qun Zhu, Xingbao Li, 2022, Journal of Process Control.

Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data.

Yanlin He, Qun Zhu, Shan Lu, 2021, ISA transactions.

Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor

Yuan Xu, Yanlin He, Qun Zhu, 2022, IFAC-PapersOnLine.

Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor

Yuan Xu, Yan-Lin He, Qun-Xiong Zhu, 2021, IEEE Transactions on Instrumentation and Measurement.

Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption.

Yuan Xu, Yanlin He, Qun Zhu, 2021, ISA transactions.

Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity

Yuan Xu, Yan-Lin He, Qun-Xiong Zhu, 2021 .

Bilateral association tracking with parzen window density estimation

Yang Zhang, Yuan Xu, Yanlin He, 2022, IET Image Process..

Novel Autoencoder Based on Variable Correlation Analysis for Industrial Soft Sensing

Yuan Xu, Yanlin He, Qun Zhu, 2023, 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS).

Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor

Yuan Xu, Yan-Lin He, Qun-Xiong Zhu, 2021, Chemometrics and Intelligent Laboratory Systems.

Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes

Yan-Lin He, Qunxiong Zhu, Wen-Jing Ding, 2020 .

Hierarchical Attention-based BiLSTM Network for Document Similarity Calculation

Yanlin He, Qun Zhu, Jiang Zhang, 2020 .

Novel Pattern Recognition Using Bootstrap-Based Discriminant Locality-Preserving Projection and Its Application to Fault Diagnosis

Qunxiong Zhu, Yan-Lin He, Xiaona Yan, 2019, Industrial & Engineering Chemistry Research.

Multi-scale Transformer-CNN domain adaptation network for complex processes fault diagnosis

Yuan Xu, Yanlin He, Qun Zhu, 2023, Journal of Process Control.

A novel imbalanced fault diagnosis method based on area identification conditional generative adversarial networks

Yang Zhang, Yuan Xu, Yanlin He, 2023, The Canadian Journal of Chemical Engineering.

Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach

Yuan Xu, Yanlin He, Qun Zhu, 2022, Journal of Process Control.

A Novel Approach to Alarm Causality Analysis Using Active Dynamic Transfer Entropy

Yi Luo, Yuan Xu, Liang Cao, 2020 .

Improved Bi-LSTM With Distributed Nonlinear Extensions and Parallel Inputs for Soft Sensing

Yanlin He, Qun Zhu, Peng-Fei Wang, 2024, IEEE Transactions on Industrial Informatics.

Quality Regularization-Based Semisupervised Adversarial Transfer Model With Unlabeled Data for Industrial Soft Sensing

Yanlin He, Qun Zhu, Lei Chen, 2024, IEEE Transactions on Industrial Informatics.

Fault Diagnosis Using Novel Class-Specific Distributed Monitoring Weighted Naı̈ve Bayes: Applications to Process Industry

Yuan Xu, Qunxiong Zhu, Yan-Lin He, 2020 .

Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis

Yuan Xu, Yanlin He, Qun Zhu, 2023, IEEE Transactions on Reliability.

Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure

Jun Wang, Yan-Lin He, Qunxiong Zhu, 2020 .

Adaptive Multi-Head Self-Attention Based Supervised VAE for Industrial Soft Sensing With Missing Data

Yuan Xu, Yanlin He, Qun Zhu, 2024, IEEE Transactions on Automation Science and Engineering.