Name ： SHEN Yinghua Department : Department of Information Management Title : Lecturer Degree : Ph.D. Phone : 0086-13594177346 Email : yinghuashen@cqu.edu.cn

May, 2021, Updated

Address
Department of Information Management, School of Economics and Business Administration, Chongqing University
174# Shazhengjie Street, Shapingba District, Chongqing, 400030, P. R. China
Email: yinghuashen@cqu.edu.cn

Positions

• Assistant Professor of Information Management (2020-present), School of Economics and Business Administration, Chongqing University

• Postdoctoral Fellowship (2020-present), School of Economics and Business Administration, Chongqing University

• Data Mining Engineer (2014-2015), Wiscom Information System Corporation (Nanjing, China)

Education

• Ph.D. (Software Engineering and Intelligent Systems), University of Alberta (Edmonton, Canada), Graduate School of Engineering, September 2019

• M.Sc. (Management Science and Engineering), Business School, Hohai University (Nanjing, China), June 2014

• B.Sc. (Information and Computing Science), Hohai University (Nanjing, China), June 2011

Research Interests

• Computational intelligence

• Granular computing

• Decision making

Papers

• “Granular Fuzzy Rule-Based Modeling with Incomplete Data Representation” (with X. Hu, W. Pedrycz, Y. Li and G. Wu), IEEE Transactions on Cybernetics, Early Access.

• “Identification of Fuzzy Rule-Based Models with Collaborative Fuzzy Clustering” (with X. Hu, W. Pedrycz, X. Wang, A. Gacek and B. Liu), IEEE Transactions on Cybernetics, Early Access.

• “Identification of Fuzzy Rule-Based Models with Output Space Knowledge Guidance” (with W. Pedrycz, X. Jing, A. Gacek, X. Wang and B. Liu), IEEE Transactions on Fuzzy Systems, Early Access.

• “A Group-Based Distance Learning Method for Semisupervised Fuzzy Clustering” (with X. Jing, Z. Yan, W. Pedrycz and J. Yang), IEEE Transactions on Cybernetics, Early Access.

• “Hyperplane Division in Fuzzy C-means: Clustering Big Data” (with W. Pedrycz, Y. Chen, X. Wang and A. Gacek), IEEE Transactions on Fuzzy Systems, volume 28 issue 11, 2020: 3032-3046.

• “Approximation of Fuzzy Sets by Interval Type-2 Trapezoidal Fuzzy Sets” (with W. Pedrycz and X. Wang), IEEE Transactions on Cybernetics, volume 50 issue 11, 2019: 4722-4734.

• “Clustering Homogeneous Granular Data: Formation and Evaluation” (with W. Pedrycz and X. Wang), IEEE Transactions on Cybernetics, volume 49 issue 4, 2018: 1391-1402.

• “Collaborative Fuzzy Clustering Algorithm: Some Refinements” (with W. Pedrycz), International Journal of Approximate Reasoning, 86, 2017: 41-61.

• “A New Correlation Measure of the Intuitionistic Fuzzy Sets” (with B. Liu, L. Mu, X. Chen and L. Chen), Journal of Intelligent & Fuzzy Systems, volume 30 issue 2, 2016: 1019-1028.

• “An Interval-Valued Intuitionistic Fuzzy Principal Component Analysis Model-based Method for Complex Multi-attribute Large-group Decision-making” (with B. Liu, W. Zhang, X. Chen and X. Wang), European Journal of Operational Research, volume 245 issue 1, 2015: 209-225.

• “A Two-layer Weight Determination Method for Complex Multi-attribute Large-group Decision-making Experts in a Linguistic Environment” (with B. Liu, Y. Chen, X. Chen and Y. Wang), Information Fusion, volume 23, 2015: 156-165.

• “A Complex Multi-attribute Large-group Decision Making Method based on the Interval-valued Intuitionistic Fuzzy Principal Component Analysis Model” (with B. Liu, Y. Chen, H. Sun and X. Xu), Soft Computing, volume 18 issue 11, 2014: 2149-2160.

• “A Complex Multi-attribute Large-group PLS Decision-making Method in the Interval-valued Intuitionistic Fuzzy Environment” (with B. Liu, X. Chen, H. Sun and Y. Chen), Applied Mathematical Modelling, volume 38 issue 17-18, 2014: 4512-4527.

• “A Partial Binary Tree DEA-DA Cyclic Classification Model for Decision Makers in Complex Multi-attribute Large-group Interval-valued Intuitionistic Fuzzy Decision-making Problems” (with B. Liu, X. Chen, Y. Chen and X. Wang), Information Fusion, volume 18, 2014: 119-130.

Monographs

• “Models and Algorithms for Complex Fuzzy Multi-attribute Large-group Decision Making” (with B. Liu and A. Wang), Tianjin University Press, 2017.

  
  

Grants and Awards

• National Natural Science Foundation of China, “Study on the Development of Granular Computing-based Prediction Models in the Environment of Multi-source Heterogeneous Massive Data”, 2021-2023, (Project Initiator).

• China Postdoctoral Science Foundation, “Developing the Collaborative Predictive Model in the Multi-source Data Environment”, 2021-2022, (Project Initiator).

• Natural Science Foundation of Chongqing, “Developing the Distributed Predictive Model with the Massive Data from the Perspective of Granular Computing”, 2021-2022, (Project Initiator).

• Alberta Innovates of Canada, “Clustering of Big Data: A Perspective from Granular Computing”, 2018-2019, (Project Initiator).

Teaching

• “Fuzzy C-Means and Its Application to Rule-Based Modeling”, Guest Lecture invited by Dr. Tianhua Chen from Aberystwyth University, Aberystwyth, U.K. (for Graduates 2021).

• “Introduction to Microprocessor”, Lab Instructor of Dr. Hai Jiang from Univerisity of Alberta, Edmonton, Canada (for Undergraduates 2018 and 2019).

• “MATLAB Programing”, Teaching Assistant of Hoy Wing from Univerisity of Alberta, Edmonton, Canada (for Undergraduates 2016 and 2017).

Activities

• Co-Guest Editor, Special Issue "AI for Intelligent Healthcare" of AI, 2021.