主要论文 |
【期刊论文】（筛选展示5篇） |
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[1]Yiqun Zhangand 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. |
中科院SCI 1区|Top期刊 |影响因子: 23.6 |
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[2]Yiqun Zhangand Yiu-ming Cheung*, “Graph-based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data”,IEEE Transactions on Neural Networks and Learning Systems(TNNLS),Vol. 34, No. 9, pp. 6530-6544,2023. |
中科院SCI 1区|Top期刊|影响因子: 10.4 |
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[3]Yiqun Zhangand 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. |
中科院SCI 1区|Top期刊 |影响因子: 11.8 |
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[4]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. |
中科院SCI 1区|Top期刊|影响因子: 10.4 |
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[5]Yiu-ming Cheung* andYiqun Zhang, “Fast and Accurate Hierarchical Clustering Based on Growing Multi-Layer Topology Training”,IEEE Transactions on Neural Networks and Learning Systems(TNNLS), Vol. 30, No. 3, pp. 876-890, 2019. |
中科院SCI 1区|Top期刊|影响因子: 10.4 |
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【会议论文】（筛选展示5篇） |
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[1]Yiqun Zhang,Yiu-ming Cheung*, et. al., “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),pp. 3758-3765, Vienna, Austria, July 23-29, 2022. |
CCF-A |
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[2]Yiqun Zhangand Yiu-ming Cheung*, “An Ordinal Data Clustering Algorithm with Automated Distance Learning”,Proceedings of the 34th AAAI Conference on Artificial Intelligence(AAAI), pp. 6869-6876, New York, USA, February 7-12, 2020. |
CCF-A |
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[3]LangZhao,Yiqun Zhang*, et. al, “Selecting Heterogeneous Features based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis”,Proceedings of the 2023 International Conference on Bioinformatics and Biomedicine(BIBM),pp. 1-8,Istanbul,Turkey,December5-8, 2023. |
CCF-B|本科科研生成果 |
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[4]Zhipeng Zhang,Yiqun Zhang*, et. al, “Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU”,Proceedings of the 26th European Conference on Artificial Intelligence(ECAI),pp. 1-8, Krakow, Poland, October 2-4, 2023. |
CCF-B |
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[5]Pengkai Wang,Yiqun Zhang*, et. al., “Clustering by Learning the OrdinalRelationships ofQualitative Attribute Values”,Proceedings ofthe2024International Joint Conference on Neural Networks (IJCNN),pp. 1-8,Yokohama, Japan, June 30-July 5,2024. |
CCF-C|本科科研生成果 |
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（注：*通讯作者/Corresponding Author） |
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