Zijiang Yang

Orcid: 0000-0001-6469-5217

Affiliations:
  • York University, Toronto, ON, Canada


According to our database1, Zijiang Yang authored at least 61 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Managing Accessibility Requirements in Web Application Development Projects: The Perspectives from Research and the Industry.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

Return Forecasting for Cryptocurrency Using Labeled Sequences and Reinforced Seq2Class Model.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

2022
Ranking decision making units based on the multi-directional efficiency measure.
J. Oper. Res. Soc., 2022

Bitcoin Data Analysis Using Deep Learning and Statistical Modeling.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

Examining Recommended Practices for Information System Development Projects and the Effect of Standardization Frameworks: An Empirical Study.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

2021
A new SBM-based global Malmquist productivity index and target setting.
Comput. Ind. Eng., 2021

Improving Information System Development and Maintainability Factors Through Standardized Processes: An Empirical Study.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2021

2020
Time-homogeneous top-K ranking using tensor decompositions.
Optim. Methods Softw., 2020

Using Classification with K-means Clustering to Investigate Transaction Anomaly.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

Improving Recommendation Performance with Clustering and Missing Value Prediction.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

2019
Prediction of DNA-binding proteins by interaction fusion feature representation and selective ensemble.
Knowl. Based Syst., 2019

The Valuation of American Passport Options: A Viscosity Solution Approach.
J. Optim. Theory Appl., 2019

Partial maximum correlation information: A new feature selection method for microarray data classification.
Neurocomputing, 2019

Managing Information Systems Requirements Volatility in Development Projects: Mapping Research and Surveying Practices.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

Exploring and Evaluating the Scalability and Eficinecy of Apache Spark Using Educational Datasets.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

An Improved Bayesian Integrated ICA Approach for Control Loop Diagnosis with Small Sample Size.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2019

2018
A novel feature selection method to predict protein structural class.
Comput. Biol. Chem., 2018

Information Privacy Practices in Organizations: Activities, Knowledge and Skill Requirements for Information Technology Professionals.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

Investigating The Influential Factors On Firefighter Injuries Using Statistical Machine Learning.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
Feature selection by maximizing correlation information for integrated high-dimensional protein data.
Pattern Recognit. Lett., 2017

An innovative one-class least squares support vector machine model based on continuous cognition.
Knowl. Based Syst., 2017

Microblog Sentiment Classification Using Parallel SVM in Apache Spark.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
Integrating principal component analysis and optimal histogram estimation for Bayesian control loop diagnosis.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016

2015
CKNNI: An Improved KNN-Based Missing Value Handling Technique.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

A GPU Based SVM Method with Accelerated Kernel Matrix Calculation.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
PLS-based recursive feature elimination for high-dimensional small sample.
Knowl. Based Syst., 2014

Solving partially observable problems with inaccurate PSR models.
Inf. Sci., 2014

Feature selection for high-dimensional multi-category data using PLS-based local recursive feature elimination.
Expert Syst. Appl., 2014

DVT-PKM: An Improved GPU Based Parallel K-Means Algorithm.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

2013
A Distribution-Free Approach to Stochastic Efficiency Measurement with Inclusion of Expert Knowledge.
J. Appl. Math., 2013

An enhanced Customer Relationship Management classification framework with Partial Focus Feature Reduction.
Expert Syst. Appl., 2013

2012
A Dynamic AdaBoost Algorithm With Adaptive Changes of Loss Function.
IEEE Trans. Syst. Man Cybern. Part C, 2012

A novel two-level nearest neighbor classification algorithm using an adaptive distance metric.
Knowl. Based Syst., 2012

Customer Relationship Management Using Partial Focus Feature Reduction.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
PLS-Based Gene Selection and Identification of Tumor-Specific Genes.
IEEE Trans. Syst. Man Cybern. Part C, 2011

Hybrid intelligent control scheme of a polymerization kettle for ACR production.
Knowl. Based Syst., 2011

Using partial least squares and support vector machines for bankruptcy prediction.
Expert Syst. Appl., 2011

Using methodologies to embed knowledge into the information systems development process: An investigation into the IT sector in China.
Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011

The impact of absorptive capacity on the ex-post adoption of agile methods: The case of Extreme Programming model.
Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011

Using linear discriminant analysis and data mining approaches to identify E-commerce anomaly.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Towards an optimal classification model against imbalanced data for Customer Relationship Management.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2010
Using the bootstrap method to detect influential DMUs in data envelopment analysis.
Ann. Oper. Res., 2010

Cross System Bank Branch Evaluation Using Clustering and Data Envelopment Analysis.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

Using Learned PSR Model for Planning under Uncertainty.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
Lag Synchronization of Unknown Chaotic Delayed Yang-Yang-Type Fuzzy Neural Networks With Noise Perturbation Based on Adaptive Control and Parameter Identification.
IEEE Trans. Neural Networks, 2009

Assessing the performance of Canadian bank branches using data envelopment analysis.
J. Oper. Res. Soc., 2009

Using DEA window analysis and the Malmquist index to evaluate the operations of Canadian Schedule I banks.
Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009

A Novel Method for Progressive Multiple Sequence Alignment Based on Lempel-Ziv.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Application of Fuzzy Classification in Bankruptcy Prediction.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

2007
Linking commercial website functions to perceived usefulness: A free disposal hull approach.
Math. Comput. Model., 2007

Simultaneous analysis of production and investment performance of Canadian life and health insurance companies using data envelopment analysis.
Comput. Oper. Res., 2007

2006
A two-stage DEA model to evaluate the overall performance of Canadian life and health insurance companies.
Math. Comput. Model., 2006

Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank.
Expert Syst. Appl., 2006

Evaluating alternative DEA models used to control for non-discretionary inputs.
Comput. Oper. Res., 2006

Efficiency analysis of cross-region bank branches using fuzzy data envelopment analysis.
Appl. Math. Comput., 2006

PARTCAT: A Subspace Clustering Algorithm for High Dimensional Categorical Data.
Proceedings of the International Joint Conference on Neural Networks, 2006

Cross Firm Bank Branch Benchmarking Using "Handicapped" Data Envelopment Analysis to Adjust for Corporate Strategic Effects.
Proceedings of the 39th Hawaii International International Conference on Systems Science (HICSS-39 2006), 2006

A Fuzzy Subspace Algorithm for Clustering High Dimensional Data.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
A Genetic <i>k</i>-Modes Algorithm for Clustering Categorical Data.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004
DEA evaluation of a Y2K software retrofit program.
IEEE Trans. Engineering Management, 2004


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