Yiqun Zhang - RankMe

79 papers A* 10A 4B 3C 1Misc 3Journal 47Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering. AAAI Mingjie Zhao, Zhanpei Huang, Yang Lu, Mengke Li, Yiqun Zhang, Weifeng Su, Yiu-ming Cheung
2026	J	`jnl`	Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models. CoRR Zihua Yang, Xin Liao, Yiqun Zhang, Yiu-ming Cheung
2026	J	`jnl`	Detecting Autism Spectrum Disorder with Deep Eye Movement Features. CoRR Zhanpei Huang, Taochen Chen, Fangqing Gu, Yiqun Zhang
2026	J	`jnl`	Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers. CoRR Yiqun Zhang, Zexi Tan, Xiaopeng Luo, Yunlin Liu
2026	J	`jnl`	Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers. IEEE Internet Things J. Yiqun Zhang, Zexi Tan, Xiaopeng Luo, Yunlin Liu
2026	J	`jnl`	Learning Order Forest for Qualitative-Attribute Data Clustering. CoRR Mingjie Zhao, Sen Feng, Yiqun Zhang, Mengke Li, Yang Lu, Yiu-ming Cheung
2026	J	`jnl`	Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection. CoRR Yiqun Zhang, Zhanpei Huang, Mingjie Zhao, Chuyao Zhang, Yang Lu, Yuzhu Ji, Fangqing Gu, An Zeng
2026	J	`jnl`	Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection. IEEE Trans. Emerg. Top. Comput. Intell. Yiqun Zhang, Zhanpei Huang, Mingjie Zhao, Chuyao Zhang, Yang Lu, Yuzhu Ji, Fangqing Gu, An Zeng
2026	J	`jnl`	Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering. CoRR Yiqun Zhang, Mingjie Zhao, Yizhou Chen, Yang Lu, Yiu-ming Cheung
2026	A*	`conf`	Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering. AAAI Zexi Tan, Xiaopeng Luo, Yunlin Liu, Yiqun Zhang
2026	J	`jnl`	One-Shot Federated Clustering of Non-Independent Completely Distributed Data. CoRR Yiqun Zhang, Shenghong Cai, Zihua Yang, Sen Feng, Yuzhu Ji, Haijun Zhang
2026	J	`jnl`	One-Shot Federated Clustering of Non-Independent Completely Distributed Data. IEEE Internet Things J. Yiqun Zhang, Shenghong Cai, Zihua Yang, Sen Feng, Yuzhu Ji, Haijun Zhang
2026	J	`jnl`	One-Shot Hierarchical Federated Clustering. CoRR Shenghong Cai, Zihua Yang, Yang Lu, Mengke Li, Yuzhu Ji, Yiqun Zhang, Yiu-ming Cheung
2026	J	`jnl`	Online Heterogeneous Feature Selection. IEEE Trans. Cybern. Yiqun Zhang, Xinxi Chen, Lang Zhao, Yuzhu Ji, Peng Liu, Yiu-ming Cheung
2026	J	`jnl`	Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning. CoRR Shenghong Cai, Yiqun Zhang, Xiaopeng Luo, Yiu-ming Cheung, Hong Jia, Peng Liu
2026	J	`jnl`	TFEC: Multivariate Time-Series Clustering via Temporal-Frequency Enhanced Contrastive Learning. CoRR Zexi Tan, Tao Xie, Haoyi Xiao, Baoyao Yang, Yuzhu Ji, An Zeng, Xiang Zhang, Yiqun Zhang
2026	J	`jnl`	Trending Applications of Large Language Models: A User Perspective Survey. IEEE Trans. Artif. Intell. Yiqun Zhang, Mingjie Zhao, Yunfan Zhang, Yiu-ming Cheung
2025	J	`jnl`	Adaptive micro partition and hierarchical merging for accurate mixed data clustering. Complex Intell. Syst. Yunfan Zhang, Rong Zou, Yiqun Zhang, Yue Zhang, Yiu-ming Cheung, Kangshun Li
2025	J	`jnl`	Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Baoyao Yang, Pong C. Yuen, Yiqun Zhang, An Zeng
2025	A*	`conf`	Asynchronous Federated Clustering with Unknown Number of Clusters. AAAI Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen, Yiu-ming Cheung
2025	J	`jnl`	Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering. CoRR Mingjie Zhao, Zhanpei Huang, Yang Lu, Mengke Li, Yiqun Zhang, Weifeng Su, Yiu-ming Cheung
2025	J	`jnl`	CADM: Cluster-customized Adaptive Distance Metric for Categorical Data Clustering. CoRR Taixi Chen, Yiu-ming Cheung, Yiqun Zhang
2025	J	`jnl`	Categorical Data Clustering via Value Order Estimated Distance Metric Learning. Proc. ACM Manag. Data Yiqun Zhang, Mingjie Zhao, Hong Jia, Mengke Li, Yang Lu, Yiu-ming Cheung
2025	J	`jnl`	Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning. CoRR Chen Shu, Mengke Li, Yiqun Zhang, Yang Lu, Bo Han, Yiu-ming Cheung, Hanzi Wang
2025	J	`jnl`	CmdVIT: A Voluntary Facial Expression Recognition Model for Complex Mental Disorders. IEEE Trans. Image Process. Jiayu Ye, Yanhong Yu, Qingxiang Wang, Guolong Liu, Wentao Li, An Zeng, Yiqun Zhang, Yang Liu, Yunshao Zheng
2025	—	`conf`	DE3S: Dual-Enhanced Soft-Sparse Shape Learning for Medical Early Time Series Classification. BIBM Tao Xie, Zexi Tan, Haoyi Xiao, Binbin Sun, Yiqun Zhang
2025	J	`jnl`	DE3S: Dual-Enhanced Soft-Sparse-Shape Learning for Medical Early Time-Series Classification. CoRR Tao Xie, Zexi Tan, Haoyi Xiao, Binbin Sun, Yiqun Zhang
2025	—	`conf`	EEG-TFNet: Spatiotemporal and Spectral Feature Integration for EEG-Based AD Detection. ISBRA (1) An Zeng, Zhao Guo, Dan Pan, Yiqun Zhang, Jun Liu, Huisi Hong
2025	J	`jnl`	Efficient streaming data clustering guided by self-refined organizing map. Int. J. Wavelets Multiresolution Inf. Process. Mei Yin, Zexi Tan, Yunfan Zhang, Yiqun Zhang, Yang Lu
2025	A*	`conf`	FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data. ACM Multimedia Hezhao Liu, Yang Lu, Mengke Li, Yiqun Zhang, Shreyank N. Gowda, Chen Gong, Hanzi Wang
2025	J	`jnl`	FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data. CoRR Hezhao Liu, Yang Lu, Mengke Li, Yiqun Zhang, Shreyank N. Gowda, Chen Gong, Hanzi Wang
2025	J	`jnl`	Iterative Prompt Relocation for Distribution-Adaptive Visual Prompt Tuning. CoRR Chikai Shang, Mengke Li, Yiqun Zhang, Zhen Chen, Jinlin Wu, Fangqing Gu, Yang Lu, Yiu-ming Cheung
2025	J	`jnl`	Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering. IEEE Trans. Neural Networks Learn. Syst. Yiqun Zhang, Sen Feng, Pengkai Wang, Zexi Tan, Xiaopeng Luo, Yuzhu Ji, Rong Zou, Yiu-ming Cheung
2025	J	`jnl`	Learning unified distance metric for heterogeneous attribute data clustering. Expert Syst. Appl. Yiqun Zhang, Mingjie Zhao, Yizhou Chen, Yang Lu, Yiu-ming Cheung
2025	J	`jnl`	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction. CoRR Zexi Tan, Tao Xie, Binbin Sun, Xiang Zhang, Yiqun Zhang, Yiu-ming Cheung
2025	J	`jnl`	Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering. CoRR Zexi Tan, Xiaopeng Luo, Yunlin Liu, Yiqun Zhang
2025	A*	`conf`	Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch. CVPR Yijie Liu, Xinyi Shang, Yiqun Zhang, Yang Lu, Chen Gong, Jing-Hao Xue, Hanzi Wang
2025	J	`jnl`	Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch. CoRR Yijie Liu, Xinyi Shang, Yiqun Zhang, Yang Lu, Chen Gong, Jing-Hao Xue, Hanzi Wang
2025	J	`jnl`	MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease. IEEE Trans. Emerg. Top. Comput. Intell. Jiayu Ye, Dan Pan, An Zeng, Yiqun Zhang, Qiuping Chen, Yang Liu
2025	Misc	`conf`	Robust Qualitative Data Clustering via Learnable Multi-Metric Space Fusion. ICASSP Sen Feng, Mingjie Zhao, Zhanpei Huang, Yuzhu Ji, Yiqun Zhang, Yiu-ming Cheung
2025	J	`jnl`	SDENK: Unbiased subspace density-k-clustering. Neurocomputing Rong Zou, Yunfan Zhang, Mingjie Zhao, Zexi Tan, Yiqun Zhang, Yiu-ming Cheung
2025	J	`jnl`	SMACNet: A Unified Framework for One-Shot Talking Head Synthesis via Subtle Motion and Appearance Compensation. IEEE Trans. Consumer Electron. Yuzhu Ji, Wei Hu, Guoji Gan, Zhiquan Long, Yiqun Zhang, An Zeng, Haijun Zhang
2025	A*	`conf`	SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation. IJCAI Yuzhu Ji, Mingshan Sun, Jianyang Shi, Xiaoke Jiang, Yiqun Zhang, Haijun Zhang
2025	Misc	`conf`	SmartNet: One-shot Talking Head Synthesis via Subtle Motion and Appearance Compensation. ICASSP Wei Hu, Yuzhu Ji, An Zeng, Dan Pan, Yiqun Zhang, Haijun Zhang
2025	J	`jnl`	Towards Clustering of Incomplete Mixed-Attribute Data. Expert Syst. J. Knowl. Eng. Chuyao Zhang, Xinxi Chen, Zexi Tan, Fangqing Gu, Yuzhu Ji, Yiqun Zhang
2025	Misc	`conf`	Weighted Density for The Win: Accurate Subspace Density Clustering. ICASSP Maixuan Peng, Yuyang Wu, Yang Lu, Mengke Li, Yiqun Zhang, Yiu-ming Cheung
2024	J	`jnl`	Asynchronous Federated Clustering with Unknown Number of Clusters. CoRR Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen, Yiu-ming Cheung
2024	J	`jnl`	Attributed Graph Clustering via Generalized Quaternion Representation Learning. CoRR Junyang Chen, Yiqun Zhang, Mengke Li, Yang Lu, Yiu-ming Cheung
2024	A	`conf`	CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation. ECAI Yuzhu Ji, Mingshan Sun, Yiqun Zhang, Haijun Zhang
2024	B	`conf`	Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values. IJCNN Pengkai Wang, Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Yiu-ming Cheung
2024	—	`conf`	Efficient Topology-Driven Clustering for Imbalanced Streaming Biomedical Data Analysis. BIBM Xiaopeng Luo, Yiqun Zhang, Yuzhu Ji, Peng Liu, Taoting Xiao
2024	A*	`conf`	Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition. NeurIPS Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung, Hui Huang
2024	J	`jnl`	Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition. CoRR Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung, Hui Huang
2024	J	`jnl`	LSROM: Learning Self-Refined Organizing Map for Fast Imbalanced Streaming Data Clustering. CoRR Yongqi Xu, Yujian Lee, Rong Zou, Yiqun Zhang, Yiu-ming Cheung
2024	A	`conf`	Learning Order Forest for Qualitative-Attribute Data Clustering. ECAI Mingjie Zhao, Sen Feng, Yiqun Zhang, Mengke Li, Yang Lu, Yiu-ming Cheung
2024	J	`jnl`	MAD-Former: A Traceable Interpretability Model for Alzheimer's Disease Recognition Based on Multi-Patch Attention. IEEE J. Biomed. Health Informatics Jiayu Ye, An Zeng, Dan Pan, Yiqun Zhang, Jingliang Zhao, Qiuping Chen, Yang Liu
2024	—	`conf`	MGOD: Multi-Granular Outlier Detection with Clustlier Analysis. BIBM Qingsheng Chen, Mingjie Zhao, Yuzhu Ji, Xiaopeng Luo, Yiqun Zhang, Yue Zhang
2024	J	`jnl`	Order Is All You Need for Categorical Data Clustering. CoRR Yiqun Zhang, Mingjie Zhao, Hong Jia, Yiu-ming Cheung
2024	J	`jnl`	Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning. CoRR Fengling Lv, Xinyi Shang, Yang Zhou, Yiqun Zhang, Mengke Li, Yang Lu
2024	A*	`conf`	QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering. KDD Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang, Yiu-ming Cheung
2024	A	`conf`	Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning. ICDCS Shenghong Cai, Yiqun Zhang, Xiaopeng Luo, Yiu-ming Cheung, Hong Jia, Peng Liu
2024	—	`conf`	Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data. ICPR (2) Yunfan Zhang, Xiaopeng Luo, Qingsheng Chen, Rong Zou, Yiqun Zhang, Yiu-ming Cheung
2023	—	`conf`	CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation. PRCV (5) Shiting He, Yuzhu Ji, Yiqun Zhang, An Zeng, Dan Pan, Jing Lin, Xiaobo Zhang
2023	J	`jnl`	Graph-Based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data. IEEE Trans. Neural Networks Learn. Syst. Yiqun Zhang, Yiu-ming Cheung
2023	—	`conf`	Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting. PRCV (9) Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Xiaobo Zhang
2023	—	`conf`	Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis. BIBM Lang Zhao, Yiqun Zhang, Xiaopeng Luo, Yue Zhang, Yiu-ming Cheung, Kangshun Li
2023	A	`conf`	Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU. ECAI Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Yuzhu Ji, Jing Lin
2023	—	`conf`	Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning. PRCV (3) Mingjie Zhao, Yiqun Zhang, Yuzhu Ji, Yang Lu
2022	J	`jnl`	A New Distance Metric Exploiting Heterogeneous Interattribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering. IEEE Trans. Cybern. Yiqun Zhang, Yiu-ming Cheung
2022	A*	`conf`	Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering. IJCAI Yiqun Zhang, Yiu-ming Cheung, An Zeng
2022	B	`conf`	Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts. DSAA Lang Zhao, Yiqun Zhang, Yuzhu Ji, An Zeng, Fangqing Gu, Xiaopeng Luo
2022	J	`jnl`	Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes. IEEE Trans. Pattern Anal. Mach. Intell. Yiqun Zhang, Yiu-ming Cheung
2020	J	`jnl`	A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering. IEEE Trans. Neural Networks Learn. Syst. Yiqun Zhang, Yiu-ming Cheung, Kay Chen Tan
2020	A*	`conf`	An Ordinal Data Clustering Algorithm with Automated Distance Learning. AAAI Yiqun Zhang, Yiu-ming Cheung
2019	J	`jnl`	Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training. IEEE Trans. Neural Networks Learn. Syst. Yiu-ming Cheung, Yiqun Zhang
2018	—	`conf`	A fast hierarchical clustering approach based on partition and merging scheme. ICACI Yiqun Zhang, Yiu-ming Cheung
2018	C	`conf`	Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering. ISMIS Yiqun Zhang, Yiu-ming Cheung
2016	B	`conf`	Quality preserved data summarization for fast hierarchical clustering. IJCNN Yiqun Zhang, Yiu-ming Cheung, Yang Liu
2014	—	`conf`	Discretizing Numerical Attributes in Decision Tree for Big Data Analysis. ICDM Workshops Yiqun Zhang, Yiu-ming Cheung