研究成果 |
【部分期刊论文】 |
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[1] 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. |
中科院SCI 1区 | Top期刊 | 影响因子: 20.8 |
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[2] 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), Vol. 34, No. 9, pp. 6530-6544, 2023. |
中科院SCI 1区 | Top期刊 | 影响因子: 10.2 |
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[3] 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. |
中科院SCI 1区 | Top期刊 | 影响因子: 9.4 |
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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: 10.2 | 获IEEE智能计算分会（香港）研究生论文竞赛冠军 |
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[5] Yunfan Zhang, Rong Zou, Yiqun Zhang*, et. al, “Adaptive Micro Partition and Hierarchical Merging for Accurate Mixed Data Clustering”, Complex & Intelligent Systems (CAIS), in press, 2024. |
中科院SCI 2区 | 影响因子: 5.0 | 本科科研生成果 |
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【部分会议论文】 |
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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 Zhang and 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] Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang*, et. al, “QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering”, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 297-306, Barcelona, Spain, August 25-29, 2024. |
CCF-A | 本科科研生成果 |
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[4] Mingjie Zhao, Sen Feng, Yiqun Zhang*, et. al, “Learning Order Forest for Qualitative-Attribute Data Clustering”, Proceedings of the 27th European Conference on Artificial Intelligence (ECAI), in press, Santiago de Compostela, Spain, October 19-25, 2024. |
CCF-B |
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[5] Lang Zhao, 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. 771-778, Istanbul, Turkey, December 5-8, 2023. |
CCF-B | 本科科研生成果 |
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（注：* 通讯作者 / Corresponding Author） |
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