电邮：[email protected]

地址：广州大学城外环西路100号广东工业大学工学一号馆630室

博士 / 博士后 / IEEE高级会员 / 深圳市高层次人才

副教授 / 青年百人高层次人才 / 研究生导师（广东工业大学 - 计算机学院）

<aside> 👤 主页

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<aside> ▫️ 新闻

研究成果

招生要求

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<aside> 📋 部分成果列表

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<aside> ▫️ 期刊论文 (*通讯作者)

<aside> 📄 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. (SCI 1区 / Top期刊 / 影响因子: 20.8)

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<aside> 📄 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. (SCI 1区 / Top期刊 / 影响因子: 10.2)

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<aside> 📄 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. (SCI 1区 / Top期刊 / 影响因子: 9.4)

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<aside> 📄 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, (SCI 1区 / Top期刊 / 影响因子: 10.2 / 获IEEE香港智能计算分会研究生论文竞赛冠军)

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<aside> 📄 Yunfan Zhang, Rong Zou, Yiqun Zhang*, Yue Zhang, Yiu-ming Cheung and Kangshun Li, “Adaptive Micro Partition and Hierarchical Merging for Accurate Mixed Data Clustering”, Complex & Intelligent Systems (CAIS), in press, 2024. (SCI 2区 / 影响因子: 5.0 / 本科科研生成果)

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<aside> 📄 Yiu-ming Cheung* and Yiqun Zhang, “Fast and Accurate Hierarchical Clustering based on Growing Multilayer Topology Training”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 30, No. 3, pp. 876-890, 2018. (SCI 1区 / Top期刊 / 影响因子: 10.2)

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<aside> 📄 Baoyao Yang, Pong Chi Yuen, Yiqun Zhang and An Zeng, “Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (SCI 1区 / Top期刊 / 影响因子: 10.2)

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<aside> 📄 Jiayu Ye, An Zeng, Dan Pan, Yiqun Zhang, Jingliang Zhao, Qiuping Chen and Yang Liu, “MAD-Former: A Traceable Interpretability Model for Alzheimer's Disease Recognition Based on Multi-Patch Attention”, IEEE Journal of Biomedical and Health Informatics (JBHI), 2024. (SCI 1区 / Top期刊 / 影响因子: 6.7 / 博士生成果)

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<aside> 📄 An Zeng, Huabin Rong, Dan Pan, Longfei Jia, Yiqun Zhang, Fengyi Zhao and Shaoliang Peng, “Discovery of Genetic Biomarkers for Alzheimer’s Disease Using Adaptive Convolutional Neural Networks Ensemble and Genome-Wide Association Studies”, Interdisciplinary Sciences: Computational Life Sciences, Vol.13, No. 4, pp. 787-800, 2021. (SCI 2区)

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<aside> ▫️ 会议论文 (*通讯作者)

<aside> 📄 Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung and Hui Huang, “Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition”, Advances in Neural Information Processing Systems (NeurIPS 2024), in press, Vancouver, Canada, December 9-15, 2024. (CCF-A)

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<aside> 📄 Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang* and Yiu-ming Cheung, “QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering”, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), pp. 297-306, Barcelona, Spain, August 25-29, 2024. (CCF-A / 本科科研生成果)

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<aside> 📄 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 and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), pp. 3758-3765, Vienna, Austria, July 23-29, 2022. (CCF-A)

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<aside> 📄 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. (CCF-A)

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<aside> 📄 Mingjie Zhao, Sen Feng, Yiqun Zhang*, Mengke Li, Yang Lu and Yiu-ming Cheung, “Learning Order Forest for Qualitative-Attribute Data Clustering”, Proceedings of the 27th European Conference on Artificial Intelligence (ECAI 2024), in press, Santiago de Compostela, Spain, October 19-25, 2024. (CCF-B / 研究生成果)

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<aside> 📄 Yuzhu Ji, Mingshan Sun, Yiqun Zhang and Haijun Zhang, “CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-organ Segmentation”, Proceedings of the 27th European Conference on Artificial Intelligence (ECAI 2024), in press, Santiago de Compostela, Spain, October 19-25, 2024. (CCF-B)

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<aside> 📄 Shenghong Cai, Yiqun Zhang*, Xiaopeng Luo, Yiu-ming Cheung, Hong Jia and Peng Liu, “Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning", Proceedings of the 44th International Conference on Distributed Computing Systems (ICDCS 2024), pp. 288-299, New Jersey, USA, July 23-26, 2024. (CCF-B / 本科科研生成果)

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<aside> 📄 Lang Zhao, Yiqun Zhang*, Xiaopeng Luo, Yue Zhang, Yiu-ming Cheung and Kangshun Li, “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 2023), pp. 771-778, Istanbul, Turkey, December 5-8, 2023. (CCF-B / 本科科研生成果)

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<aside> 📄 Zhipeng Zhang, Yiqun Zhang*, An Zeng, Dan Pan, Yuzhu Ji, Zhipeng Zhang and Jing Lin, “Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU”, Proceedings of the 26th European Conference on Artificial Intelligence (ECAI 2023), pp. 3074-3082, Krakow, Poland, September 30-October 4, 2023. (CCF-B / 研究生成果)

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<aside> 📄 Yunfan Zhang, Xiaopeng Luo, Qingsheng Chen, Rong Zou, Yiqun Zhang* and Yiu-ming Cheung, “Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data”, Proceedings of the 27th International Conference on Pattern Recognition (ICPR 2024), in press, Kolkata, India, December 1-5, 2024. (CCF-C / 本科科研生成果)

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<aside> 📄 Pengkai Wang, Yunfan Zhang, Yiqun Zhang*, Yang Lu, Mengke Li and Yiu-ming Cheung, “Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values”, Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN 2024), in press, Yokohama, Japan, June 30-July 5, 2024. (CCF-C / 本科科研生成果)

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<aside> 📄 Mingjie Zhao, Yiqun Zhang*, Yuzhu Ji and Yang Lu, “Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning”, Proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2023), pp. 31-43, Xiamen, China, October 13-15, 2023. (CCF-C / 研究生成果)

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<aside> 📄 Zhipeng Zhang, Yiqun Zhang*, An Zeng, Dan Pan and Xiaobo Zhang, “Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting”, Proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2023), pp. 91-103, Xiamen, China, October 13-15, 2023. (CCF-C / 研究生成果)

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<aside> 📄 Shiting He, Yuzhu Ji*, Yiqun Zhang, An Zeng, Dan Pan, Jing Lin and Xiaobo Zhang, “CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation”, Proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2023), pp. 431-442, Xiamen, China, October 13-15, 2023. (CCF-C / 研究生成果)

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<aside> 📄 Lang Zhao, Yiqun Zhang*, Yuzhu Ji, An Zeng, Fangqing Gu and Xiaopeng Luo, “Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts”, Proceedings of the 9th International Conference on Data Science and Advanced Analytics (DSAA 2022), pp. xxxxxx, Shenzhen, China, October 13-16, 2022. (CCF-C / 本科科研生成果)

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<aside> 📄 Yiqun Zhang, Yiu-ming Cheung and Yang Liu, “Quality Preserved Data Summarization for Fast Hierarchical Clustering”, Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN 2016), pp. 4139-4146, Vancouver, Canada, July 24-29, 2016. (CCF-C)

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<aside> 📄 Rong Zou, Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li and Yiu-ming Cheung*, “Federated Clustering with Unknown Number of Clusters”, Proceedings of the 6th International Conference on Data-Driven Optimization of Complex Systems (DOCS 2024), in press, Hangzhou, China, August 16-18, 2024. (本科科研生成果 / 获会议最佳论文奖)

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<aside> 📄 Fangqi Nie, Pengcheng Yan, Yiqun Zhang*, Fangqing Gu, Yang Lu and Yue Zhang, “SPACE^2: Dual Space Learning for Categorical Data Clustering”, Proceedings of the 19th International Conference on Computational Intelligence and Security (CIS 2023), in press, Haikou, China, December 1-4, 2023. (本科科研生成果)

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<aside> 📄 Xueyao Qiu, Fangqing Gu* and Yiqun Zhang, “Causal Discovery of Medical Test Parameters Based on Improved PC Algorithm”, Proceedings of the 4th International Conference on Data-Driven Optimization of Complex Systems (DOCS 2022), pp. xxxxxx, Chengdu, China, October 28-30, 2022. (研究生成果)

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<aside> 📄 Yiqun Zhang and Yiu-ming Cheung*, “Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering”, Proceedings of the 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018), pp. 247-257, Limassol, Cyprus, October 29-31, 2018. (获会议最佳学生论文奖)

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<aside> 📄 Yiqun Zhang and Yiu-ming Cheung*, “A Fast Hierarchical Clustering Approach Based on Partition and Merging Scheme”, Proceedings of the 2018 International Conference on Advanced Computational Intelligence (ICACI 2018), pp. 846-851, Xiamen, China, March 29-31, 2018.

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<aside> 📄 Yiqun Zhang and Yiu-ming Cheung*, “Discretizing Numerical Attributes in Decision Tree for Big Data Analysis”, Proceedings of the 2014 International Conference on Data Mining Workshop (ICDMW 2014), pp. 1150-1157, Shenzhen, China, December 14-17, 2014.

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<aside> 📔 科研资助

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<aside> ▫️ 主持项目

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<aside> ▫️ 参与项目

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