Qunxiong Zhu

发表

A novel DEACM integrating affinity propagation for performance evaluation and energy optimization modeling: Application to complex petrochemical industries

Yongming Han, Zhiqiang Geng, Chang Long, 2019, Energy Conversion and Management.

Review: Multi-objective optimization methods and application in energy saving

Yongming Han, Zhiqiang Geng, Qunxiong Zhu, 2017 .

An efficient version of inverse boosting for classification

Qunxiong Zhu, Jingyang Gao, Chenglizhao Chen, 2013 .

A combined prediction model based on double echo state network with improved immune genetic algorithm(IIGA)

Qunxiong Zhu, Yuan Xu, Jia Yin, 2021 .

Design and control of an ideal heat-integrated distillation column (ideal HIDIC) system separating a close-boiling ternary mixture

Qunxiong Zhu, Kejin Huang, Lan Shan, 2007 .

Spatial Interpretive Structural Model Identification and AHP-Based Multimodule Fusion for Alarm Root-Cause Diagnosis in Chemical Processes

Yuan Xu, Qunxiong Zhu, Huihui Gao, 2016 .

An Online-Offline Computing Mode based on Apache Storm for Text Classification

Kai Chen, Qunxiong Zhu, Yanlin He, 2019, 2019 Chinese Automation Congress (CAC).

Towards further internal heat integration in design of reactive distillation columns-Part IV: Application to a high-purity ethylene glycol reactive distillation column

Qunxiong Zhu, Kejin Huang, Lan Shan, 2009 .

Prediction intervals based soft sensor development using fuzzy information granulation and an improved recurrent ELM

Qunxiong Zhu, A. Rajabifard, Nengcheng Chen, 2019 .

Time Optimal Control of a Thermoelastic System

Zhiqiang Geng, Qunxiong Zhu, Qiyu Liu, 2017 .

Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis

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

Extension theory-based modeling for purified terephthalic acid solvent system

Yuan Xu, Qunxiong Zhu, Qunxiong Zhu, 2010, IEEE ICCA 2010.

Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network

Chen Zhang, Qunxiong Zhu, Zhiqiang Geng, 2018, CoDIT.

A Mega-Trend-Diffusion and Monte Carlo based virtual sample generation method for small sample size problem

Yuan Xu, Qunxiong Zhu, Xiaoru Yu, 2019, Journal of Physics: Conference Series.

A New Method for Monitoring Management in Chemical Process

Qunxiong Zhu, Yuan Xu, Qunxiong Zhu, 2009, 2009 First International Conference on Information Science and Engineering.

An Improved Hybrid Genetic Algorithm for Chemical Plant Layout Optimization with Novel Non-overlapping and Toxic Gas Dispersion Constraints

Zhenyu Wang, Qunxiong Zhu, Xu Yuan, 2013 .

A Constraints Scattered Memetic Algorithm for Constrained Optimization Problem

Zhenyu Wang, Qunxiong Zhu, Wenxing Xu, 2012, J. Comput..

A hybrid constraints scattered genetic algorithm with interior point method

Qunxiong Zhu, Wenxing Xu, Zhiqiang Geng, 2011, 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC).

A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise

Qunxiong Zhu, Yuan Xu, Zhiqiang Geng, 2014, Neurocomputing.

Energy consumption analysis and evaluation of petrochemical industries using an improved fuzzy analytic hierarchy process approach

Qunxiong Zhu, Zun Wang, Zhiqiang Geng, 2017, J. Intell. Fuzzy Syst..

Data driven soft sensor development for complex chemical processes using extreme learning machine

Yan-Lin He, Qunxiong Zhu, Zhiqiang Geng, 2015 .

Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis

Qunxiong Zhu, Zhifeng Guo, Benben Jiang, 2019, IEEE Transactions on Control Systems Technology.

Energy management and optimization modeling based on a novel fuzzy extreme learning machine: Case study of complex petrochemical industries

Qunxiong Zhu, Zhiqiang Geng, Yongming Han, 2018, Energy Conversion and Management.

Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes

Qunxiong Zhu, Zhiqiang Geng, Yongming Han, 2017 .

Energy saving analysis and management modeling based on index decomposition analysis integrated energy saving potential method: Application to complex chemical processes

Qunxiong Zhu, Zhiqiang Geng, Yanqing Wang, 2017 .

Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP

Qunxiong Zhu, Lin Qin, Zhiqiang Geng, 2017 .

Energy optimization and analysis modeling based on extreme learning machine integrated index decomposition analysis: Application to complex chemical processes

Xiao Yang, Qunxiong Zhu, Zhiqiang Geng, 2017 .

Energy efficiency analysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industry

Qunxiong Zhu, Zhiqiang Geng, Yongming Han, 2015 .

Review: Energy efficiency evaluation of complex petrochemical industries

Hao Wu, Yongming Han, Zhiqiang Geng, 2020 .

Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure

Yuan Xu, Qunxiong Zhu, Yanlin He, 2019, 2019 Chinese Automation Congress (CAC).

Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0

Yi Luo, Qunxiong Zhu, Yanlin He, 2019, 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC).

Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2016 .

Improving the Operational Efficiency of Ethylene Cracking Integrated with Refining by Molecular Management

Qunxiong Zhu, Jianwei Li, Hengchang Gu, 2020 .

A piecewise linear chaotic map and sequential quadratic programming based robust hybrid particle swarm optimization

Qunxiong Zhu, Wenxing Xu, Zhiqiang Geng, 2013, Inf. Sci..

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

Qunxiong Zhu, Abbas Rajabifard, Yuan Xu, 2020, Soft Comput..

A Multi-Agent Method for Parallel Mining Based on Rough sets

Qunxiong Zhu, Zhiqiang Geng, Zhiqiang Geng, 2006, 2006 6th World Congress on Intelligent Control and Automation.

A New Rough set-based Heuristic Algorithm for Attribute Reduct

Qunxiong Zhu, Zhiqiang Geng, Zhiqiang Geng, 2006, 2006 6th World Congress on Intelligent Control and Automation.

Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes

Qunxiong Zhu, Zhiqiang Geng, Hongda Li, 2018, Energy.

Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports

Qunxiong Zhu, Yongming Han, Yanlin He, 2021 .

Intra-Transition Data Dependence

Qunxiong Zhu, Wenxing Xu, Zhiqiang Geng, 2012, J. Softw..

Study and Application of Fault Prediction Methods with Improved Reservoir Neural Networks

Qunxiong Zhu, Di Peng, Yuan Xu, 2014 .

A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process

Yan-Lin He, Qunxiong Zhu, Yanqing Wang, 2019, IFAC-PapersOnLine.

Novel virtual sample generation using conditional GAN for developing soft sensor with small data

Yuan Xu, Yan-Lin He, Qunxiong Zhu, 2021, Eng. Appl. Artif. Intell..

Novel Feature-Disentangled Autoencoder Integrating Residual Network for Industrial Soft Sensor

Yongming Han, Zhiqiang Geng, Qunxiong Zhu, 2023, IEEE Transactions on Industrial Informatics.

Seeking synergistic effect- : A key principle in process intensification

Qunxiong Zhu, San-Jang Wang, Jixin Qian, 2007 .

Multiscale Nonlinear Principal Component Analysis (NLPCA) and Its Application for Chemical Process Monitoring

Qunxiong Zhu, Zhiqiang Geng, Zhiqiang Geng, 2005 .

Study on Association Rules Mining Based Chinese Text Representation

Qunxiong Zhu, Fang Li, Qunxiong Zhu, 2008, 2008 First International Conference on Intelligent Networks and Intelligent Systems.

A share strategy for utility frequent patterns mining

Qunxiong Zhu, Fang Li, Zhiqiang Geng, 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.

A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries

Yan-Lin He, Qunxiong Zhu, Zhong-Sheng Chen, 2017 .

Energy and carbon emissions analysis and prediction of complex petrochemical systems based on an improved extreme learning machine integrated interpretative structural model

Yuan Xu, Qunxiong Zhu, Zhiqiang Geng, 2017 .

Energy optimization and prediction of complex petrochemical industries using an improved artificial neural network approach integrating data envelopment analysis

Qunxiong Zhu, Zhiqiang Geng, Yongming Han, 2016 .

A novel self-organizing cosine similarity learning network: An application to production prediction of petrochemical systems

Qunxiong Zhu, Zhiqiang Geng, Yongming Han, 2018 .

Early warning modeling and application based on analytic hierarchy process integrated extreme learning machine

Yuan Xu, ZhiQiang Geng, ShanShan Zhao, 2017, 2017 Intelligent Systems Conference (IntelliSys).

Fuzzy multi-attribute decision-making method based on eigenvector of fuzzy attribute evaluation space

Qunxiong Zhu, Xiangbai Gu, Qunxiong Zhu, 2006, Decis. Support Syst..

Process Knowledge Discovery Using Sparse Principal Component Analysis

Murat Kulahci, Ahmet Palazoglu, Qunxiong Zhu, 2016 .

A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2018, Chemometrics and Intelligent Laboratory Systems.

Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis

Yan-Lin He, Qunxiong Zhu, Qian-Qian Meng, 2017 .

Multivariate time delay analysis based local KPCA fault prognosis approach for nonlinear processes

Qunxiong Zhu, Liu Ying, Yuan Xu, 2016 .

Integrating probabilistic signed digraph and reliability analysis for alarm signal optimization in chemical plant

Yuan Xu, Qunxiong Zhu, Di Peng, 2015 .

A virtual sample generation approach based on a modified conditional GAN and centroidal Voronoi tessellation sampling to cope with small sample size problems: Application to soft sensing for chemical process

Yuan Xu, Qunxiong Zhu, Zhong-Sheng Chen, 2021, Appl. Soft Comput..

Improved deep belief network model and its application in named entity recognition of Chinese electronic medical records

Shang Gao, Qunxiong Zhu, Wei Wei, 2018, 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA).

Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system

Yuan Xu, Qunxiong Zhu, Zoltan K. Nagy, 2021, Soft Computing.

Temperature control of an ideal heat-integrated distillation column (HIDiC)

Qunxiong Zhu, Koichi Iwakabe, San-Jang Wang, 2007 .

A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes

Yan-Lin He, Qunxiong Zhu, Qunxiong Zhu, 2016 .

Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state

Qunxiong Zhu, Zhiqiang Geng, Yanlin He, 2015, Neurocomputing.

A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets

Qunxiong Zhu, Zhiqiang Geng, Yanlin He, 2015, Eng. Appl. Artif. Intell..

Adding rectifying/stripping section type heat integration to a pressure-swing distillation (PSD) process

Qunxiong Zhu, Kejin Huang, Lan Shan, 2008 .

A totally heat-integrated distillation column (THIDiC) – the effect of feed pre-heating by distillate

Qunxiong Zhu, Kejin Huang, Lan Shan, 2008 .

Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications

Yan-Lin He, Qunxiong Zhu, Xiao-Han Zhang, 2020 .

A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2018 .

Energy efficiency analysis based on DEA integrated ISM: A case study for Chinese ethylene industries

Qunxiong Zhu, Zhiqiang Geng, Yongming Han, 2015, Eng. Appl. Artif. Intell..

Share-Inherit: A novel approach for mining frequent patterns

Qunxiong Zhu, Xiaoyong Lin, Qunxiong Zhu, 2010, 2010 8th World Congress on Intelligent Control and Automation.

Mining Frequent Patterns with Incremental Updating Frequent Pattern Tree

Qunxiong Zhu, Xiaoyong Lin, Qunxiong Zhu, 2006, 2006 6th World Congress on Intelligent Control and Automation.

A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2018, Energy.

A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction

Yan-Lin He, Qunxiong Zhu, Zhiqiang Geng, 2018, Energy.

Energy and environmental efficiency evaluation based on a novel data envelopment analysis: An application in petrochemical industries

Qunxiong Zhu, Yongming Han, Chen Yaxun, 2017 .

Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples

Yuan Xu, Yang Zhao, Qunxiong Zhu, 2020, Eng. Appl. Artif. Intell..

A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition

Yuan Xu, Qunxiong Zhu, Yanlin He, 2021, Journal of Process Control.

Soft sensor development using PLSR based multi-kernel ELM

Yan-Lin He, Zhiqiang Geng, Yuan Xu, 2019, 2019 12th Asian Control Conference (ASCC).

Rough set-based heuristic hybrid recognizer and its application in fault diagnosis

Qunxiong Zhu, Zhiqiang Geng, Zhiqiang Geng, 2009, Expert Syst. Appl..

A New DROS-Extreme Learning Machine With Differential Vector-KPCA Approach for Real-Time Fault Recognition of Nonlinear Processes

Qunxiong Zhu, Yuan Xu, Ye Liangliang, 2015 .

Energy Efficiency Estimation Based on Data Fusion Strategy: Case Study of Ethylene Product Industry

Qunxiong Zhu, Zhiqiang Geng, Yongming Han, 2012 .

Energy analysis and management method of complex chemical processes based on index decomposition analysis

Qunxiong Zhu, Yongming Han, Zhiqiang Geng, 2017, 2017 6th Data Driven Control and Learning Systems (DDCLS).

Raw material management networks based on an improved P‐graph integrated carbon emission pinch analysis (CEPA‐P‐graph) method

Qunxiong Zhu, Yongming Han, Yang Yu, 2020 .

Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production

Qunxiong Zhu, Jian Cao, Yan-Lin He, 2020 .

Computational optimal control for the time fractional convection-diffusion-reaction system

Qunxiong Zhu, Qiyu Liu, Longjin Lv, 2017, Cluster Computing.

A Novel Wrapped Feature Selection Framework for Developing Power System Intrusion Detection Based on Machine Learning Methods

Yongming Han, Zhiqiang Geng, Qunxiong Zhu, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Dynamic regularization discriminant local preserving projection method for fault diagnosis

Qunxiong Zhu, Yan-Lin He, Xiaona Yan, 2019, Journal of Physics: Conference Series.

Energy consumption hierarchical analysis based on interpretative structural model for ethylene production

Qunxiong Zhu, Zhiqiang Geng, Yongming Han, 2015 .

Study and Application of Case-based Extension Fault Diagnosis for Chemical Process

Qunxiong Zhu, Di Peng, Xu Yuan, 2013 .

Research and Application of Extension CBR Fault Diagnosis Method for Process Production

Yan Qing Wang, Yuan Xu, Qun Xiong Zhu, 2011 .

Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network

Yan-Lin He, Qunxiong Zhu, Zhiqiang Geng, 2015 .

A New Extension Theory-based Production Operation Method in Industrial Process

Qunxiong Zhu, Xu Yuan, Qunxiong Zhu, 2013 .

A Multilogic Probabilistic Signed Directed Graph Fault Diagnosis Approach Based on Bayesian Inference

Qunxiong Zhu, Zhiqiang Geng, Di Peng, 2014 .

Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network

Qunxiong Zhu, Zhiying Jiang, Zhiqiang Geng, 2017, 2017 Chinese Automation Congress (CAC).

Novel Mahalanobis Distance Based Fault Diagnosis Using Discrimination Neighborhood Preserving Embedding for Industrial Process

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

An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2017 .

Time Series Extended Finite‐State Machine‐Based Relevance Vector Machine Multi‐Fault Prediction

Yuan Xu, Qunxiong Zhu, Zi-Qian Zhou, 2017 .

A New Feedback DE‐ELM with Time Delay‐Based EFSM Approach for Fault Prediction of Non‐Linear Processes

Yuan Xu, Qunxiong Zhu, Zi-Qian Zhou, 2015 .

Research and Application of Improved Auto-associative Hierarchical Neural Network with Time Delay Estimation for Fault Diagnosis of Process

Qunxiong Zhu, Hao Sheng, Liu Ying, 2015 .

Soft sensor development for the key variables of complex chemical processes using a novel robust bagging nonlinear model integrating improved extreme learning machine with partial least square

Yan-Lin He, Qunxiong Zhu, Zhiqiang Geng, 2016 .

A Dual Relation Extractor for Object Detection

Qunxiong Zhu, Yuan Xu, Yang Zhang, 2023, 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI).

Multi-objective operation optimization of ethylene cracking furnace based on AMOPSO algorithm

Qunxiong Zhu, Zun Wang, Zhiqiang Geng, 2016 .

Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis

Yongming Han, Zhiqiang Geng, Yanlin He, 2019, 2019 12th Asian Control Conference (ASCC).

Design and Practice of an Elevator Control System Based on PLC

Qunxiong Zhu, Xiaoling Yang, Hong Xu, 2008, 2008 Workshop on Power Electronics and Intelligent Transportation System.