M.Sc., Ph.D., PostDoc.,

Associate Professor,

Guangdong University of Technology

E-mail: [email protected]

Research Fields:

• Machine Learning,
• Data Mining,
• Data Science Applications

Biography

• 2022 - now, Associate Professor, School of Computers, Guangdong University of Technology
• 2020 - 2022, Lecturer, School of Computers, Guangdong University of Technology
• 2019 - 2021, Post-doctoral Research Fellow, Department of Computer Science, Hong Kong Baptist University
• 2014 - 2019, Ph.D., Department of Computer Science, Hong Kong Baptist University
• 2013 - 2014, M.Sc., Department of Computer Science, Hong Kong Baptist University
• 2009 - 2013, B.Eng., South China University of Technology

Selected Publications

<aside> <img src="/icons/document_gray.svg" alt="/icons/document_gray.svg" width="40px" /> Yiqun Zhang and Yiu-ming Cheung*, “Graph-based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, [DOI: 10.1109/TNNLS.2022.3202700].

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<aside> <img src="/icons/document_gray.svg" alt="/icons/document_gray.svg" width="40px" /> Yiqun Zhang, Yiu-ming Cheung* and An Zeng, “Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering”, Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI’22), pp. 3758-3765, Vienna, Austria, July 23-29, 2022.

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<aside> <img src="/icons/document_gray.svg" alt="/icons/document_gray.svg" width="40px" /> Yiqun Zhang and Yiu-ming Cheung*, “Learnable Weighting of Intra-attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 44, No. 7, pp. 3560-3576, 2022.

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<aside> <img src="/icons/document_gray.svg" alt="/icons/document_gray.svg" width="40px" /> Yiqun Zhang and Yiu-ming Cheung*, “A New Distance Metric Exploiting Heterogeneous Inter-Attribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering”, IEEE Transactions on Cybernetics (TCYB), Vol. 52, No. 2, pp. 758-771, 2022.

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<aside> <img src="/icons/document_gray.svg" alt="/icons/document_gray.svg" width="40px" /> Yiqun Zhang and Yiu-ming Cheung*, “An Ordinal Data Clustering Algorithm with Automated Distance Learning”, Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI’2020), pp. 6869-6876, New York, USA, February 7-12, 2020.

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<aside> <img src="/icons/document_gray.svg" alt="/icons/document_gray.svg" width="40px" /> Yiqun Zhang, Yiu-ming Cheung* and Kay Chen Tan, “A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 31, No. 1, pp. 39-52, 2020.****

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Projects

• National Natural Science Foundation of China (NSFC), Youth Project (PI): Research on Cluster Analysis of Heterogeneous Feature Data in Dynamic Environment, 2022/01 – 2024/12