📝 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]
[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]
[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]
[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]
[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]
[J005]
[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]
[J001]
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]
[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]
[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]
[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
[C042]
[C041]
CIS'25
Detecting Autism Spectrum Disorder with Deep Eye Movement Features
Zhanpei Huang, Taochen Chen, Fangqing Gu and Yiqun Zhang✉
[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✉
[C039]
[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]
[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]
[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]
[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]
[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
[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]
[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
[C006]
[C005]
[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✉
[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✉
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
最后更新:2026年06月