📝 Full Publication List

Journal Papers

[J028]
TETCI'26 Bridge the Gaps: Heterogeneous Attributed Graph Clustering via Quaternion Representation Learning
Xinxi Chen, Junyang Chen, Yiqun Zhang, Chuangming Qiu and Xiang Zhang
JCR Q1 | IF: 6.0 | Paper
[J027]
TMM'26 Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
Shu Chen, Xiaoyun Xia, Mengke Li, Yiqun Zhang, Yang Lu and Yiu-ming Cheung
JCR Q1 | IF: 9.9 | Paper
[J026]
TAI'26 How to Ask the AI: A User Perspective Survey for Large Language Model Prompting
Yiqun Zhang, Yunfan Zhang, Mingjie Zhao, Sen Feng and Yiu-ming Cheung
Survey Paper | Paper
[J025]
TMM'26 NIDC: General Task Backbone for Neuroimaging Analysis via Interpretable Deep Clustering
Jiayu Ye, An Zeng, Dan Pan, Junhao Chen, Jingliang Zhao, Yiqun Zhang and Yang Liu
JCR Q1 | IF: 9.9 | Paper
[J024]
IoTJ'26 One-Shot Federated Clustering of Non-Independent Completely Distributed Data
Yiqun Zhang, Shenghong Cai, Zihua Yang, Sen Feng, Yuzhu Ji and Haijun Zhang
JCR Q1 | IF: 8.7 | Paper
[J023]
TAI'26 Trending Applications of Large Language Models: A User Perspective Survey
Yiqun Zhang, Mingjie Zhao, Yunfan Zhang and Yiu-ming Cheung
Survey Paper | Paper 中文版
[J022]
TCYB'26 Online Heterogeneous Feature Selection
Yiqun Zhang, Xinxi Chen, Lang Zhao, Yuzhu Ji, Peng Liu and Yiu-ming Cheung
JCR Q1 | IF: 11.3 | Paper
[J021]
IoTJ'26 Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers
Yiqun Zhang, Zexi Tan, Xiaopeng Luo and Yunlin Liu
JCR Q1 | IF: 8.7 | Paper Code
[J020]
INS'26 Federated Hierarchical Clustering with Automatic Selection of Optimal Cluster Numbers
Yue Zhang, Chuanlong Qiu, Xinfa Liao and Yiqun Zhang
JCR Q1 | IF: 6.0 | Paper
[J019]
TETCI'26 Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection
Yiqun Zhang, Zhanpei Huang, Mingjie Zhao, Chuyao Zhang, Yang Lu, Yuzhu Ji, Fangqing Gu and An Zeng
JCR Q1 | IF: 6.0 | Paper Code
[J018]
PEASA'25 AI in the Era of Large Language Models: Current State, Applications, Limitations, and Future
Yiqun Zhang and Yiu-ming Cheung
Perspective Paper | Paper
[J017]
TNNLS'25 Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering
Yiqun Zhang, Sen Feng, Pengkai Wang, Zexi Tan, Xiaopeng Luo, Yuzhu Ji, Rong Zou and Yiu-ming Cheung
JCR Q1 | IF: 9.7 | ESI Highly Cited Paper | Paper Code
[J016]
TIP'25 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, Yang Liu and Yunshao Zheng
JCR Q1 | IF: 15.3 | Paper
[J015]
TCE'25 SMACNet: A Unified Framework for One-shot Talking Head Synthesis via Subtle Motion and Appearance Compensation
Yuzhu Ji, Wei Hu, Guoji Gan, Zhiquan Long, Yiqun Zhang, An Zeng and Haijun Zhang
JCR Q1 | IF: 9.9 | Paper
[J014]
ESWA'25 Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
Yiqun Zhang, Mingjie Zhao, Yizhou Chen, Yang Lu and Yiu-ming Cheung
JCR Q1 | IF: 9.4 | ESI Highly Cited Paper | Paper
[J013]
NEUCOM'25 SDENK: Unbiased Subspace Density-k-Clustering
Rong Zou, Yunfan Zhang, Mingjie Zhao, Zexi Tan, Yiqun Zhang and Yiu-ming Cheung
JCR Q1 | IF: 6.7 | Paper
[J012]
EXSY'25 Towards Clustering of Incomplete Mixed-Attribute Data
Chuyao Zhang, Xinxi Chen, Zexi Tan, Fangqing Gu, Yuzhu Ji and Yiqun Zhang
JCR Q2 | IF: 3.4 | Paper
[J011]
IJWMIP'25 Efficient Streaming Data Clustering Guided by Self-Refined Organizing Map
Mei Yin, Zexi Tan, Yunfan Zhang, Yiqun Zhang and Yang Lu
JCR Q4 | IF: 0.8 | Paper
[J010]
TETCI'25 MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer’s Disease
Jiayu Ye, Dan Pan, An Zeng, Yiqun Zhang, Qiuping Chen and Yang Liu
JCR Q1 | IF: 6.0 | Paper
[J009]
TNNLS'25 Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning
Baoyao Yang, Pong Chi Yuen, Yiqun Zhang and An Zeng
JCR Q1 | IF: 9.7 | Paper
[J008]
CAIS'25 Adaptive Micro Partition and Hierarchical Merging for Accurate Mixed Data Clustering
Yunfan Zhang, Rong Zou, Yiqun Zhang, Yue Zhang, Yiu-ming Cheung and Kangshun Li
JCR Q2 | IF: 4.5 | Paper
[J007]
JBHI'24 MAD-Former: A Traceable Interpretability Model for Alzheimer's Disease Recognition Based on Multi-Patch Attention
Jiayu Ye, An Zeng, Dan Pan, Yiqun Zhang, Jingliang Zhao, Qiuping Chen and Yang Liu
JCR Q1 | IF: 7.7 | Paper
[J006]
TNNLS'23 Graph-based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data
Yiqun Zhang and Yiu-ming Cheung
JCR Q1 | IF: 9.7 | Paper Code
[J005]
TPAMI'22 Learnable Weighting of Intra-attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes
Yiqun Zhang and Yiu-ming Cheung
JCR Q1 | IF: 20.4 | Paper Code
[J004]
TCYB'22 A New Distance Metric Exploiting Heterogeneous Inter-Attribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering
Yiqun Zhang and Yiu-ming Cheung
JCR Q1 | IF: 11.3 | Paper
[J003]
ISCLS'21 Discovery of Genetic Biomarkers for Alzheimer’s Disease Using Adaptive Convolutional Neural Networks Ensemble and Genome-Wide Association Studies
An Zeng, Huabin Rong, Dan Pan, Longfei Jia, Yiqun Zhang, Fengyi Zhao and Shaoliang Peng
JCR Q1 | IF: 5.2 | Paper
[J002]
TNNLS'20 A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering
Yiqun Zhang, Yiu-ming Cheung and Kay Chen Tan
JCR Q1 | IF: 9.7 | IEEE CIS (HK) Competition’20 Best Paper Award | Paper Code
[J001]
TNNLS'19 Fast and Accurate Hierarchical Clustering based on Growing Multilayer Topology Training
Yiu-ming Cheung and Yiqun Zhang
JCR Q1 | IF: 9.7 | Paper Code

Conference Papers

[C056]
ECML-PKDD'26 Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery
Chuyao Zhang, E Li, Taochen Chen, Yiqun Zhang, Yuzhu Ji, Shuping Zhao, Peng Liu and Yiu-ming Cheung
CCF-B | CORE A | Paper
[C055]
ICPR'26 Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models
Zihua Yang, Xin Liao, Yiqun Zhang and Yiu-ming Cheung
CCF-C | CORE B | Paper Code
[C054]
SIGKDD'26 AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE
Tao Xie, Zexi Tan, Haoyi Xiao, Mengke Li, Yiqun Zhang, Yang Lu, Cuie Yang and Yiu-ming Cheung
CCF-A | CORE A* | Paper
[C053]
ICML'26 CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels
Mengke Li, Haiquan Ling, Lihao Chen, Yang Lu, Yiqun Zhang and Hui Huang
CCF-A | CORE A* | Paper
[C052]
IJCNN'26 FMoE: Frequency-Guided Multi-Period MoE Modeling for Time Series Forecasting
Taochen Chen, Jialiang Chen, Yiqun Zhang, Mengke Li, Yang Lu and Yiu-ming Cheung
CCF-C | CORE B | Paper
[C051]
IJCNN'26 PIN-LoRA: Positive-Incentive Noise Aggregation for Federated Long-Tailed Learning
Chenghao Jin, Shihao Hou, Jiacheng Yang, Mengke Li, Yiqun Zhang, Yang Lu and Yiu-ming Cheung
CCF-C | CORE B | Paper
[C050]
CVPR'26 SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning
Hezhao Liu, Jiacheng Yang, Junlong Gao, Mengke Li, Yiqun Zhang, Shreyank N Gowda and Yang Lu
CCF-A | CORE A* | Paper
[C049]
CVPR'26 Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
Shihao Hou, Chikai Shang, Zhiheng Yang, Jiacheng Yang, Xinyi Shang, Junlong Gao, Yiqun Zhang and Yang Lu
CCF-A | CORE A* | Paper
[C048]
SIGMOD'26 Categorical Data Clustering via Value Order Estimated Distance Metric Learning
Yiqun Zhang, Mingjie Zhao, Hong Jia, Mengke Li, Yang Lu and Yiu-ming Cheung
CCF-A | CORE A* | Paper Code
[C047]
ICASSP'26 STRPNET: Video Salient Object Detection via Spatio-Temporal Scene Relation Propagation
Shujie Qiu, Jie Yang, Jiaqi Yu, Yiqun Zhang, Yuzhu Ji and Peng Liu
CCF-B | CORE B | Paper
[C046]
ICASSP'26 CADM: Cluster-customized Adaptive Distance Metric for Categorical Data Clustering
Taixi Chen, Yiu-ming Cheung and Yiqun Zhang
CCF-B | CORE B | Paper
[C045]
DASFAA'26 HyReaL: Clustering Attributed Graph via Hyper-Complex Space Representation Learning
Junyang Chen, Yang Lu, Mengke Li, Cuie Yang, Yiqun Zhang and Yiu-ming Cheung
CCF-B | CORE B | Paper
[C044]
AAAI'26 Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
Zexi Tan, Xiaopeng Luo, Yunlin Liu and Yiqun Zhang
CCF-A | CORE A* | Paper Code
[C043]
AAAI'26 Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering
Mingjie Zhao, Zhanpei Huang, Yang Lu, Mengke Li, Yiqun Zhang, Weifeng Su and Yiu-ming Cheung
CCF-A | CORE A* | Paper Extended Version Code
[C042]
BIBM'25 DE3S: Dual-Enhanced Soft-Sparse-Shape Learning for Medical Early Time-Series Classification
Tao Xie, Zexi Tan, Haoyi Xiao, Yiqun Zhang and Binbin Sun
CCF-B | CORE B | Paper Code
[C041]
CIS'25 Detecting Autism Spectrum Disorder with Deep Eye Movement Features
Zhanpei Huang, Taochen Chen, Fangqing Gu and Yiqun Zhang
Paper
[C040]
CIS'25 An AI Education Framework based on LLM-Knowledge Graph for Personalized Learning
Zihao Liang, Yiou Wang, Mingjie Zhao, Sen Feng, Yunfan Zhang and Yiqun Zhang
Paper
[C039]
PRICAI'25 MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Zexi Tan, Tao Xie, Binbin Sun, Xiang Zhang, Yiqun Zhang and Yiu-ming Cheung
CCF-C | CORE B | Paper Code
[C038]
ACMMM'25 FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data
Hezhao Liu, Yang Lu, Mengke Li, Yiqun Zhang, Shreyank N Gowda, Chen Gong and Hanzi Wang
CCF-A | CORE A* | Paper
[C037]
ECAI'25 FairFed++: Closing the Fairness Gap in Federated Learning through Self-Evolving Clustered Optimization
Zhixiang Fang, Baoyao Yang, Weide Zhan, Yanchao Tang and Yiqun Zhang
CCF-B | CORE A | Paper
[C036]
ICCV'25 PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation
Chikai Shang, Mengke Li, Yiqun Zhang, Zhen Chen, Jinlin Wu, Fangqing Gu, Yang Lu and Yiu-ming Cheung
CCF-A | CORE A* | Paper
[C035]
PRCV'25 FedCD: A Hybrid Federated Learning Framework for Adaptive Training Under Data Heterogeneity
Weide Zhan, Baoyao Yang, Zhixiang Fang, Dongzhe Li, Yali Ma and Yiqun Zhang
CCF-C | Paper
[C034]
IJCAI'25 SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation
Yuzhu Ji, Mingshan Sun, Jianyang Shi, Xiaoke Jiang, Yiqun Zhang and Haijun Zhang
CCF-A | CORE A* | Paper
[C033]
ISBRA'25 EEG-TFNet: Spatiotemporal and Spectral Feature Integration for EEG-Based AD Detection
An Zeng, Zhao Guo, Dan Pan, Yiqun Zhang and Jun Liu
CCF-C | Paper
[C032]
ICIC'25 DeSAD: Density Clustering-Guided Streaming Data Anomaly Detection
Yue Zhang, Xuchuang Ding, Xiang Zhang, Wei Ai, Gengwen Huang and Yiqun Zhang
CCF-C | Paper
[C031]
CVPR'25 Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
Yijie Liu, Xinyi Shang, Yiqun Zhang, Yang Lu, Chen Gong, Jing-Hao Xue and Hanzi Wang
CCF-A | CORE A* | Paper
[C030]
ICASSP'25 Robust Qualitative Data Clustering via Learnable Multi-Metric Space Fusion
Sen Feng, Mingjie Zhao, Zhanpei Huang, Yuzhu Ji, Yiqun Zhang and Yiu-ming Cheung
CCF-B | CORE B | Paper Code
[C029]
ICASSP'25 Weighted Density for The Win: Accurate Subspace Density Clustering
Maixuan Peng, Yuyang Wu, Yiqun Zhang, Yang Lu, Mengke Li and Yiu-ming Cheung
CCF-B | CORE B | Paper
[C028]
ICASSP'25 SmartNet: One-shot Talking Head Synthesis via Subtle Motion and Appearance Compensation
Wei Hu, Yuzhu Ji, An Zeng, Dan Pan, Yiqun Zhang and Haijun Zhang
CCF-B | CORE B | Paper
[C027]
AAAI'25 Asynchronous Federated Clustering with Unknown Number of Clusters
Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen and Yiu-ming Cheung
CCF-A | CORE A* | Paper Code
[C026]
NeurIPS'24 Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung and Hui Huang
CCF-A | CORE A* | Paper
[C025]
BIBM'24 MGOD: Multi-Granular Outlier Detection with Clustlier Analysis
Qingsheng Chen, Mingjie Zhao, Yuzhu Ji, Xiaopeng Luo, Yiqun Zhang and Yue Zhang
CCF-B | CORE B | Paper
[C024]
BIBM'24 Efficient Topology-Driven Clustering for Imbalanced Streaming Biomedical Data Analysis
Xiaopeng Luo, Yiqun Zhang, Yuzhu Ji, Peng Liu and Taoting Xiao
CCF-B | CORE B | Paper
[C023]
ICPR'24 Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data
Yunfan Zhang, Xiaopeng Luo, Qingsheng Chen, Rong Zou, Yiqun Zhang and Yiu-ming Cheung
CCF-C | CORE B | Paper
[C022]
PRCV'24 FedHC: Learning Imbalanced Clusters via Federated Hierarchical Clustering
Yue Zhang, Xinfa Liao, Qingsheng Chen, Hao-Tian Wu and Yiqun Zhang
CCF-C | Paper
[C021]
PRCV'24 FedGC: Federated Learning on Non-IID Data via Learning from Good Clients
Xu Ji, Haotian Wu, Ting Cui, Yiqun Zhang and Lingling Xu
CCF-C | Paper
[C020]
ECAI'24 Learning Order Forest for Qualitative-Attribute Data Clustering
Mingjie Zhao, Sen Feng, Yiqun Zhang, Mengke Li, Yang Lu and Yiu-ming Cheung
CCF-B | CORE A | Paper Code
[C019]
ECAI'24 CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-organ Segmentation
Yuzhu Ji, Mingshan Sun, Yiqun Zhang and Haijun Zhang
CCF-B | CORE A | Paper
[C018]
SIGKDD'24 QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering
Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang and Yiu-ming Cheung
CCF-A | CORE A* | Paper Code
[C017]
ICDCS'24 Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning
Shenghong Cai, Yiqun Zhang, Xiaopeng Luo, Yiu-ming Cheung, Hong Jia and Peng Liu
CCF-B | CORE A | Paper
[C016]
IJCNN'24 Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values
Pengkai Wang, Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li and Yiu-ming Cheung
CCF-C | CORE B | Paper
[C015]
DOCS'24 Federated Clustering with Unknown Number of Clusters
Rong Zou, Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li and Yiu-ming Cheung
Best Paper Award | Paper
[C014]
ICEIEC'24 Multi-Layer Attention Fusion and Edge-Guided Structural Enrichment Completion Network for Leaf Point Cloud
Qingqing Liao, An Zeng, Yuzhu Ji and Yiqun Zhang
Paper
[C013]
BIBM'23 Selecting Heterogeneous Features based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis
Lang Zhao, Yiqun Zhang, Xiaopeng Luo, Yue Zhang, Yiu-ming Cheung and Kangshun Li
CCF-B | CORE B | Paper
[C012]
PRCV'23 Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning
Mingjie Zhao, Yiqun Zhang, Yuzhu Ji and Yang Lu
CCF-C | Paper
[C011]
PRCV'23 Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting
Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan and Xiaobo Zhang
CCF-C | Paper
[C010]
PRCV'23 CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation
Shi-ting He, Yuzhu Ji, Yiqun Zhang, An Zeng, Dan Pan, Jing Lin and Xiaobo Zhang
CCF-C | Paper
[C009]
ECAI'23 Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU
Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Yuzhu Ji, Zhipeng Zhang and Jing Lin
CCF-B | CORE A | Paper Code
[C008]
DSAA'22 Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts
Lang Zhao, Yiqun Zhang, Yuzhu Ji, An Zeng, Fangqing Gu and Xiaopeng Luo
CCF-C | CORE B | Paper
[C007]
DOCS'22 Causal Discovery of Medical Test Parameters Based on Improved PC Algorithm
Xueyao Qiu, Fangqing Gu and Yiqun Zhang
Paper
[C006]
IJCAI'22 Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering
Yiqun Zhang, Yiu-ming Cheung and An Zeng
CCF-A | CORE A* | Paper Code
[C005]
AAAI'20 An Ordinal Data Clustering Algorithm with Automated Distance Learning
Yiqun Zhang and Yiu-ming Cheung
CCF-A | CORE A* | Paper Code
[C004]
ISMIS'18 Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering
Yiqun Zhang and Yiu-ming Cheung
Best Student Paper Award | Paper
[C003]
ICACI'18 A Fast Hierarchical Clustering Approach Based on Partition and Merging Scheme
Yiqun Zhang and Yiu-ming Cheung
Paper
[C002]
IJCNN'16 Quality Preserved Data Summarization for Fast Hierarchical Clustering
Yiqun Zhang, Yiu-ming Cheung and Yang Liu
CCF-C | CORE B | Paper
[C001]
ICDMW'14 Discretizing Numerical Attributes in Decision Tree for Big Data Analysis
Yiqun Zhang and Yiu-ming Cheung
Paper



Note: This list exclusively features publications that are either written in English or officially indexed by SCI/EI.

















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最后更新:2026年06月