Academic Qualification

Ph.D. in Computing, The Hong Kong Polytechnic University

Bachelor in Computer Studies, The City University of Hong Kong

Teaching Areas

LP002: Data Structures in C

ME001: Information Systems Analysis and Design

MIIZ04: Advanced Topics in Information Technology

LP003: Object Oriented Programming

CN104: Computer Programming and Design II

CN003: Computer Programming I

MA003, MATH100: Linear Algebra

MA006: Discrete Mathematics

CS105: Fundamentals of Artificial Intelligence

CS360, SE360: Artificial Intelligence

Research Interests

Rough Sets

Fuzzy Rough Sets

Granular Computing

Concept-cognitive Learning

Deep Learning

Fuzzy Logic, Sets and Systems

Genetic Algorithm

Professional Services

IEEE Transactions on Systems, Man, and Cybernetics, Part B. 6/2004—12/2014.

International Journal of Machine Learning and Cybernetics, since 1/2017

Advances in Computational Intelligences, since 10/2020

Working Experiences

Assistant Professor, Dept. of Computing, Hong Kong Polytechnic University

Assistant Professor, Macau University of Science and Technology

Associate Professor, Macau University of Science and Technology

Professor, Macau University of Science and Technology

Reviewers of Journal Papers

IEEE Transactions on Neural Networks

IEEE Transactions on Fuzzy Systems

IEEE Transactions on Systems, Man and Cybernetics

IEEE Transactions on Fuzzy Systems

IEEE Transactions on Knowledge and Data Engineering

International Journal of Pattern Recognition and Artificial Intelligence

Fuzzy Sets and Systems

Information Sciences

Knowledge - based Systems, etc.

Academic Publication (selected)

1.          M Hu, Eric C. C. Tsang, Y. T. Guo, W. H. Xu, “Fast and robust attribute reduction based on the separability in fuzzy decision systems”, IEEE Transactions on Cybernetics, 2022, 52(6), 5559 - 5572.

2.          M Hu, Eric C. C. Tsang, Y. T. Guo, Q. S. Zhang, D. G. Chen, W. H. Xu, “A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint”. International Journal of Machine Learning and Cybernetics, 2022,13(4), 1049-1064.

3.          Chengling Zhang, Eric C.C. Tsang, Weihua Xu, Yidong Lin and Lanzhen Yang, “Incremental concept-cognitive learning approach for concept classification oriented to weighted fuzzy concepts”, Knowledge-Based Systems, Volume 260, 25 January 2023, 110093.

4.          M Hu, Y Guo, D Chen, Eric C. C. Tsang, Q Zhang, “Attribute reduction based on neighborhood constrained fuzzy rough sets”, Knowledge-Based Systems, Volume 274, 15 August 2023, 110632.

5.          Qingshuo Zhang E.C.C. Tsang Qiang He Yanting Guo, “Ensemble of kernel extreme learning machine based elimination optimization for multi-label classification”, Knowledge-Based Systems, Volume 278, 25 October 2023, 110817.

6.          Zhang Q, Tsang E C C, He Q, et al. “Distance metric learning with local multiple kernel embedding”, International Journal of Machine Learning and Cybernetics, 2023, 14(1): 79-92.

7.          Jiaming Wu, Eric C.C. Tsang, Weihua Xu, “Correlation concept-cognitive learning model for multi-label classification”, accepted for publication, Knowledge Based Systems, 2024. 

8.          Chengling Zhang, Eric C.C. Tsang, Weihua Xu, Yidong Lin, Lanzhen Yang, Jiaming Wu, “Dynamic updating variable precision three-way concept method based on two-way concept-cognitive learning in fuzzy formal contexts”, Information Sciences, Volume 655, January 2024, 119818.

9.          Lanzhen Yang, Eric C.C. Tsang, Xizhao Wang, Chengling Zhang, “ELM parameter estimation in view of maximum likelihood”, Neurocomputing Volume 557, 7 November 2023, 126704.