Yiqun Zhang

According to our database, Yiqun Zhang authored at least 78 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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, Yang Lu

CoRR, May, 2026

Online Heterogeneous Feature Selection.

Yiqun Zhang, Xinxi Chen, Lang Zhao, Yuzhu Ji, Peng Liu, Yiu-Ming Cheung

IEEE Trans. Cybern., April, 2026

Trending Applications of Large Language Models: A User Perspective Survey.

Yiqun Zhang, Mingjie Zhao, Yunfan Zhang, Yiu-ming Cheung

IEEE Trans. Artif. Intell., April, 2026

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, Yang Lu

CoRR, April, 2026

Beyond Statistical Co-occurrence: Unlocking Intrinsic Semantics for Tabular Data Clustering.

Mingjie Zhao, Yunfan Zhang, Yiqun Zhang, Yiu-Ming Cheung

CoRR, April, 2026

Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection.

Yiqun Zhang, Zhanpei Huang, Mingjie Zhao, Chuyao Zhang, Yang Lu, Yuzhu Ji, Fangqing Gu, An Zeng

IEEE Trans. Emerg. Top. Comput. Intell., February, 2026

TFEC: Multivariate Time-Series Clustering via Temporal-Frequency Enhanced Contrastive Learning.

Zexi Tan, Tao Xie, Haoyi Xiao, Baoyao Yang, Yuzhu Ji, An Zeng, Xiang Zhang, Yiqun Zhang

CoRR, January, 2026

One-Shot Hierarchical Federated Clustering.

Shenghong Cai, Zihua Yang, Yang Lu, Mengke Li, Yuzhu Ji, Yiqun Zhang, Yiu-Ming Cheung

CoRR, January, 2026

Detecting Autism Spectrum Disorder with Deep Eye Movement Features.

Zhanpei Huang, Taochen Chen, Fangqing Gu, Yiqun Zhang

CoRR, January, 2026

Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models.

Zihua Yang, Xin Liao, Yiqun Zhang, Yiu-ming Cheung

CoRR, January, 2026

Federated hierarchical clustering with automatic selection of optimal cluster numbers.

Yue Zhang, Chuanlong Qiu, Xinfa Liao, Yiqun Zhang

Inf. Sci., 2026

Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers.

Yiqun Zhang, Zexi Tan, Xiaopeng Luo, Yunlin Liu

IEEE Internet Things J., 2026

One-Shot Federated Clustering of Non-Independent Completely Distributed Data.

Yiqun Zhang, Shenghong Cai, Zihua Yang, Sen Feng, Yuzhu Ji, Haijun Zhang

IEEE Internet Things J., 2026

HyReaL: Clustering Attributed Graph via Hyper-complex Space Representation Learning.

Junyang Chen, Yang Lu, Mengke Li, Cuie Yang, Yiqun Zhang, Yiu-ming Cheung

Proceedings of the Database Systems for Advanced Applications, 2026

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering.

Mingjie Zhao, Zhanpei Huang, Yang Lu, Mengke Li, Yiqun Zhang, Weifeng Su, Yiu-ming Cheung

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering.

Zexi Tan, Xiaopeng Luo, Yunlin Liu, Yiqun Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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, Haijun Zhang

IEEE Trans. Consumer Electron., November, 2025

Efficient streaming data clustering guided by self-refined organizing map.

Mei Yin, Zexi Tan, Yunfan Zhang, Yiqun Zhang, Yang Lu

Int. J. Wavelets Multiresolution Inf. Process., November, 2025

CADM: Cluster-customized Adaptive Distance Metric for Categorical Data Clustering.

Taixi Chen, Yiu-ming Cheung, Yiqun Zhang

CoRR, November, 2025

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, Yiu-Ming Cheung

IEEE Trans. Neural Networks Learn. Syst., September, 2025

MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease.

Jiayu Ye, Dan Pan, An Zeng, Yiqun Zhang, Qiuping Chen, Yang Liu

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning.

Chen Shu, Mengke Li, Yiqun Zhang, Yang Lu, Bo Han, Yiu-ming Cheung, Hanzi Wang

CoRR, March, 2025

Iterative Prompt Relocation for Distribution-Adaptive Visual Prompt Tuning.

Chikai Shang, Mengke Li, Yiqun Zhang, Zhen Chen, Jinlin Wu, Fangqing Gu, Yang Lu, Yiu-ming Cheung

CoRR, March, 2025

Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning.

Baoyao Yang, Pong C. Yuen, Yiqun Zhang, An Zeng

IEEE Trans. Neural Networks Learn. Syst., February, 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, Yang Liu, Yunshao Zheng

IEEE Trans. Image Process., 2025

Categorical Data Clustering via Value Order Estimated Distance Metric Learning.

Yiqun Zhang, Mingjie Zhao, Hong Jia, Mengke Li, Yang Lu, Yiu-ming Cheung

Proc. ACM Manag. Data, 2025

SDENK: Unbiased subspace density-k-clustering.

Rong Zou, Yunfan Zhang, Mingjie Zhao, Zexi Tan, Yiqun Zhang, Yiu-Ming Cheung

Neurocomputing, 2025

Learning unified distance metric for heterogeneous attribute data clustering.

Yiqun Zhang, Mingjie Zhao, Yizhou Chen, Yang Lu, Yiu-ming Cheung

Expert Syst. Appl., 2025

Towards Clustering of Incomplete Mixed-Attribute Data.

Chuyao Zhang, Xinxi Chen, Zexi Tan, Fangqing Gu, Yuzhu Ji, Yiqun Zhang

Expert Syst. J. Knowl. Eng., 2025

Adaptive micro partition and hierarchical merging for accurate mixed data clustering.

Yunfan Zhang, Rong Zou, Yiqun Zhang, Yue Zhang, Yiu-ming Cheung, Kangshun Li

Complex Intell. Syst., 2025

MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction.

Zexi Tan, Tao Xie, Binbin Sun, Xiang Zhang, Yiqun Zhang, Yiu-Ming Cheung

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

FedCD: A Hybrid Federated Learning Framework for Adaptive Training Under Data Heterogeneity.

Weide Zhan, Baoyao Yang, Zhixiang Fang, Dongzhe Li, Yali Ma, Yiqun Zhang

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

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, Hanzi Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

EEG-TFNet: Spatiotemporal and Spectral Feature Integration for EEG-Based AD Detection.

An Zeng, Zhao Guo, Dan Pan, Yiqun Zhang, Jun Liu, Huisi Hong

Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025

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, Haijun Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DeSAD: Density Clustering-Guided Streaming Data Anomaly Detection.

Yue Zhang, Xuchuang Ding, Xiang Zhang, Wei Ai, Gengwen Huang, Yiqun Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation.

Chikai Shang, Mengke Li, Yiqun Zhang, Zhen Chen, Jinlin Wu, Fangqing Gu, Yang Lu, Yiu-ming Cheung

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Weighted Density for The Win: Accurate Subspace Density Clustering.

Maixuan Peng, Yuyang Wu, Yang Lu, Mengke Li, Yiqun Zhang, Yiu-Ming Cheung

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SmartNet: One-shot Talking Head Synthesis via Subtle Motion and Appearance Compensation.

Wei Hu, Yuzhu Ji, An Zeng, Dan Pan, Yiqun Zhang, Haijun Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Robust Qualitative Data Clustering via Learnable Multi-Metric Space Fusion.

Sen Feng, Mingjie Zhao, Zhanpei Huang, Yuzhu Ji, Yiqun Zhang, Yiu-Ming Cheung

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

FairFed++: Closing the Fairness Gap in Federated Learning Through Self-Evolving Clustered Optimization.

Zhixiang Fang, Baoyao Yang, Weide Zhan, Yanchao Tang, Yiqun Zhang

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

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, Hanzi Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DE3S: Dual-Enhanced Soft-Sparse Shape Learning for Medical Early Time Series Classification.

Tao Xie, Zexi Tan, Haoyi Xiao, Binbin Sun, Yiqun Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Asynchronous Federated Clustering with Unknown Number of Clusters.

Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen, Yiu-ming Cheung

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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, Yang Liu

IEEE J. Biomed. Health Informatics, June, 2024

Order Is All You Need for Categorical Data Clustering.

Yiqun Zhang, Mingjie Zhao, Hong Jia, Yiu-ming Cheung

CoRR, 2024

Attributed Graph Clustering via Generalized Quaternion Representation Learning.

Junyang Chen, Yiqun Zhang, Mengke Li, Yang Lu, 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, Mengke Li, Yang Lu

CoRR, 2024

LSROM: Learning Self-Refined Organizing Map for Fast Imbalanced Streaming Data Clustering.

Yongqi Xu, Yujian Lee, Rong Zou, Yiqun Zhang, Yiu-Ming Cheung

CoRR, 2024

FedHC: Learning Imbalanced Clusters via Federated Hierarchical Clustering.

Yue Zhang, Xinfa Liao, Qingsheng Chen, Haotian Wu, Yiqun Zhang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

FedGC: Federated Learning on Non-IID Data via Learning from Good Clients.

Xu Ji, Hao-Tian Wu, Ting Cui, Yiqun Zhang, Lingling Xu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition.

Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-Ming Cheung, Hui Huang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering.

Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang, Yiu-ming Cheung

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values.

Pengkai Wang, Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Yiu-ming Cheung

Proceedings of the International Joint Conference on Neural Networks, 2024

Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data.

Yunfan Zhang, Xiaopeng Luo, Qingsheng Chen, Rong Zou, Yiqun Zhang, Yiu-ming Cheung

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning.

Shenghong Cai, Yiqun Zhang, Xiaopeng Luo, Yiu-Ming Cheung, Hong Jia, Peng Liu

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Learning Order Forest for Qualitative-Attribute Data Clustering.

Mingjie Zhao, Sen Feng, Yiqun Zhang, Mengke Li, Yang Lu, Yiu-Ming Cheung

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation.

Yuzhu Ji, Mingshan Sun, Yiqun Zhang, Haijun Zhang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Efficient Topology-Driven Clustering for Imbalanced Streaming Biomedical Data Analysis.

Xiaopeng Luo, Yiqun Zhang, Yuzhu Ji, Peng Liu, Taoting Xiao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

MGOD: Multi-Granular Outlier Detection with Clustlier Analysis.

Qingsheng Chen, Mingjie Zhao, Yuzhu Ji, Xiaopeng Luo, Yiqun Zhang, Yue Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Graph-Based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data.

Yiqun Zhang, Yiu-Ming Cheung

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning.

Mingjie Zhao, Yiqun Zhang, Yuzhu Ji, Yang Lu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting.

Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Xiaobo Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation.

Shiting He, Yuzhu Ji, Yiqun Zhang, An Zeng, Dan Pan, Jing Lin, Xiaobo Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU.

Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Yuzhu Ji, Zhipeng Zhang, Jing Lin

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

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, Kangshun Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

A New Distance Metric Exploiting Heterogeneous Interattribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering.

Yiqun Zhang, Yiu-Ming Cheung

IEEE Trans. Cybern., 2022

Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes.

Yiqun Zhang, Yiu-ming Cheung

IEEE Trans. Pattern Anal. Mach. Intell., 2022

A new distance measurement and its application in K-Means Algorithm.

Yiqun Zhang, Houbiao Li

CoRR, 2022

Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering.

Yiqun Zhang, Yiu-ming Cheung, An Zeng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts.

Lang Zhao, Yiqun Zhang, Yuzhu Ji, An Zeng, Fangqing Gu, Xiaopeng Luo

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2020

A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering.

Yiqun Zhang, Yiu-Ming Cheung, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., 2020

An Ordinal Data Clustering Algorithm with Automated Distance Learning.

Yiqun Zhang, Yiu-ming Cheung

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training.

Yiu-ming Cheung, Yiqun Zhang

IEEE Trans. Neural Networks Learn. Syst., 2019

2018

Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering.

Yiqun Zhang, Yiu-ming Cheung

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

A fast hierarchical clustering approach based on partition and merging scheme.

Yiqun Zhang, Yiu-ming Cheung

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2016

Quality preserved data summarization for fast hierarchical clustering.

Yiqun Zhang, Yiu-ming Cheung, Yang Liu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014

Discretizing Numerical Attributes in Decision Tree for Big Data Analysis.

Yiqun Zhang, Yiu-ming Cheung

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014