Discretizing Numerical Attributes in Decision Tree for Big Data Analysis. - Yiqun Zhang 006; Yiu-ming Cheung (ICDM Workshops, 2014)

Quality preserved data summarization for fast hierarchical clustering. - Yiqun Zhang 006; Yiu-ming Cheung; Yang Liu 007 (IJCNN, 2016)

A fast hierarchical clustering approach based on partition and merging scheme. - Yiqun Zhang 006; Yiu-ming Cheung (ICACI, 2018)

Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering. - Yiqun Zhang 006; Yiu-ming Cheung (ISMIS, 2018)

Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training. - Yiu-ming Cheung; Yiqun Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2019)

An Ordinal Data Clustering Algorithm with Automated Distance Learning. - Yiqun Zhang 006; Yiu-ming Cheung (AAAI, 2020)

A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering. - Yiqun Zhang 006; Yiu-Ming Cheung; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2020)

Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts. - Lang Zhao; Yiqun Zhang 006; Yuzhu Ji; An Zeng; Fangqing Gu; Xiaopeng Luo (DSAA, 2022)

Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering. - Yiqun Zhang 006; Yiu-ming Cheung; An Zeng (IJCAI, 2022)

Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes. - Yiqun Zhang 006; Yiu-ming Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A New Distance Metric Exploiting Heterogeneous Interattribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering. - Yiqun Zhang 006; Yiu-Ming Cheung (IEEE Trans. Cybern., 2022)

Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis. - Lang Zhao; Yiqun Zhang 006; Xiaopeng Luo; Yue Zhang 045; Yiu-Ming Cheung; Kangshun Li (BIBM, 2023)

Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU. - Zhipeng Zhang; Yiqun Zhang 006; An Zeng; Dan Pan 001; Yuzhu Ji; Zhipeng Zhang; Jing Lin (ECAI, 2023)

CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation. - Shiting He; Yuzhu Ji; Yiqun Zhang 006; An Zeng; Dan Pan 001; Jing Lin; Xiaobo Zhang (PRCV (5), 2023)

Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting. - Zhipeng Zhang; Yiqun Zhang 006; An Zeng; Dan Pan 001; Xiaobo Zhang (PRCV (9), 2023)

Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning. - Mingjie Zhao 003; Yiqun Zhang 006; Yuzhu Ji; Yang Lu 009 (PRCV (3), 2023)

Graph-Based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data. - Yiqun Zhang 006; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2023)

MGOD: Multi-Granular Outlier Detection with Clustlier Analysis. - Qingsheng Chen; Mingjie Zhao 003; Yuzhu Ji; Xiaopeng Luo; Yiqun Zhang 006; Yue Zhang 045 (BIBM, 2024)

Efficient Topology-Driven Clustering for Imbalanced Streaming Biomedical Data Analysis. - Xiaopeng Luo; Yiqun Zhang 006; Yuzhu Ji; Peng Liu; Taoting Xiao (BIBM, 2024)

CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation. - Yuzhu Ji; Mingshan Sun; Yiqun Zhang 006; Haijun Zhang 002 (ECAI, 2024)

Learning Order Forest for Qualitative-Attribute Data Clustering. - Mingjie Zhao 003; Sen Feng; Yiqun Zhang 006; Mengke Li 001; Yang Lu 009; Yiu-Ming Cheung (ECAI, 2024)

Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning. - Shenghong Cai; Yiqun Zhang 006; Xiaopeng Luo; Yiu-Ming Cheung; Hong Jia; Peng Liu (ICDCS, 2024)

Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data. - Yunfan Zhang; Xiaopeng Luo; Qingsheng Chen; Rong Zou; Yiqun Zhang 006; Yiu-ming Cheung (ICPR (2), 2024)

Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values. - Pengkai Wang; Yunfan Zhang; Yiqun Zhang 006; Yang Lu 009; Mengke Li 001; Yiu-ming Cheung (IJCNN, 2024)

QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering. - Junyang Chen; Yuzhu Ji; Rong Zou; Yiqun Zhang 006; Yiu-ming Cheung (KDD, 2024)

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition. - Mengke Li 001; Ye Liu; Yang Lu 009; Yiqun Zhang 006; Yiu-Ming Cheung; Hui Huang 004 (NeurIPS, 2024)

LSROM: Learning Self-Refined Organizing Map for Fast Imbalanced Streaming Data Clustering. - Yongqi Xu; Yujian Lee; Rong Zou; Yiqun Zhang 006; Yiu-Ming Cheung (CoRR, 2024)

Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning. - Fengling Lv; Xinyi Shang; Yang Zhou; Yiqun Zhang 006; Mengke Li 001; Yang Lu 009 (CoRR, 2024)

Attributed Graph Clustering via Generalized Quaternion Representation Learning. - Junyang Chen; Yiqun Zhang 006; Mengke Li 001; Yang Lu 009; Yiu-ming Cheung (CoRR, 2024)

Order Is All You Need for Categorical Data Clustering. - Yiqun Zhang 006; Mingjie Zhao 003; Hong Jia; Yiu-ming Cheung (CoRR, 2024)

MAD-Former: A Traceable Interpretability Model for Alzheimer's Disease Recognition Based on Multi-Patch Attention. - Jiayu Ye; An Zeng; Dan Pan 001; Yiqun Zhang 006; Jingliang Zhao; Qiuping Chen; Yang Liu 007 (IEEE J. Biomed. Health Informatics, 2024)

Asynchronous Federated Clustering with Unknown Number of Clusters. - Yunfan Zhang; Yiqun Zhang 006; Yang Lu 009; Mengke Li 001; Xi Chen; Yiu-ming Cheung (AAAI, 2025)

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch. - Yijie Liu; Xinyi Shang; Yiqun Zhang 006; Yang Lu 009; Chen Gong; Jing-Hao Xue; Hanzi Wang (CVPR, 2025)

Robust Qualitative Data Clustering via Learnable Multi-Metric Space Fusion. - Sen Feng; Mingjie Zhao 003; Zhanpei Huang; Yuzhu Ji; Yiqun Zhang 006; Yiu-Ming Cheung (ICASSP, 2025)

SmartNet: One-shot Talking Head Synthesis via Subtle Motion and Appearance Compensation. - Wei Hu; Yuzhu Ji; An Zeng; Dan Pan 001; Yiqun Zhang 006; Haijun Zhang 002 (ICASSP, 2025)

Weighted Density for The Win: Accurate Subspace Density Clustering. - Maixuan Peng; Yuyang Wu; Yang Lu 009; Mengke Li 001; Yiqun Zhang 006; Yiu-Ming Cheung (ICASSP, 2025)

Towards Clustering of Incomplete Mixed-Attribute Data. - Chuyao Zhang; Xinxi Chen; Zexi Tan; Fangqing Gu; Yuzhu Ji; Yiqun Zhang 006 (Expert Syst. J. Knowl. Eng., 2025)

Learning unified distance metric for heterogeneous attribute data clustering. - Yiqun Zhang 006; Mingjie Zhao 003; Yizhou Chen; Yang Lu 009; Yiu-ming Cheung (Expert Syst. Appl., 2025)

CmdVIT: A Voluntary Facial Expression Recognition Model for Complex Mental Disorders. - Jiayu Ye; Yanhong Yu; Qingxiang Wang; Guolong Liu; Wentao Li; An Zeng; Yiqun Zhang 006; Yang Liu 007; Yunshao Zheng (IEEE Trans. Image Process., 2025)

Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning. - Baoyao Yang; Pong C. Yuen; Yiqun Zhang 006; An Zeng (IEEE Trans. Neural Networks Learn. Syst., 2025)

Iterative Prompt Relocation for Distribution-Adaptive Visual Prompt Tuning. - Chikai Shang; Mengke Li 001; Yiqun Zhang 006; Zhen Chen 018; Jinlin Wu; Fangqing Gu; Yang Lu 009; Yiu-ming Cheung (CoRR, 2025)

Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning. - Chen Shu; Mengke Li 001; Yiqun Zhang 006; Yang Lu 009; Bo Han 003; Yiu-ming Cheung; Hanzi Wang (CoRR, 2025)

FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data. - Hezhao Liu; Yang Lu 009; Mengke Li 001; Yiqun Zhang 006; Shreyank N. Gowda; Chen Gong; Hanzi Wang (CoRR, 2025)

MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease. - Jiayu Ye; Dan Pan 001; An Zeng; Yiqun Zhang 006; Qiuping Chen; Yang Liu 007 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)