@article{huang2026aoinet,
author = {Huang, Zhanpei and Sun, Binbin and Chen, Jialiang and Wang, Yiou and Chen, Taochen and Ji, Yuzhu and Zhang, Yiqun and Cheung, Yiu-ming},
title = {AOI-Net: Structural Face AOI-Guided Eye-Gaze Track Representation Learning for ASD Detection},
journal = {IEEE Computational Intelligence Magazine},
year = {2026}
}
[J030]
PR'26
Class-Modulated Top-K Logit Adjustment for Long-Tailed Visual Recognition
Mengke Li, Ye Liu, Zhikai Hu, Yiqun Zhang, Yang Lu and Hui Huang✉
@article{li2026class,
author = {Li, Mengke and Liu, Ye and Hu, Zhikai and Zhang, Yiqun and Lu, Yang and Huang, Hui},
title = {Class-Modulated Top-K Logit Adjustment for Long-Tailed Visual Recognition},
journal = {Pattern Recognition},
year = {2026}
}
[J029]
TETCI'26
Resource-Efficient Pruning for Transformer via Low-Rank Importance Estimation
Peng Liu, Huibing Zeng, Yiqun Zhang✉, Yang Yi and Jigang Wu
@article{liu2026resource,
author = {Liu, Peng and Zeng, Huibing and Zhang, Yiqun and Yi, Yang and Wu, Jigang},
title = {Resource-Efficient Pruning for Transformer via Low-Rank Importance Estimation},
journal = {IEEE Transactions on Emerging Topics in Computational Intelligence},
year = {2026}
}
[J028]
TETCI'26
Bridge the Gaps: Heterogeneous Attributed Graph Clustering via Quaternion Representation Learning
@article{chen2026bridge,
author = {Chen, Xinxi and Chen, Junyang and Zhang, Yiqun and Qiu, Chuangming and Zhang, Xiang},
title = {Bridge the Gaps: Heterogeneous Attributed Graph Clustering via Quaternion Representation Learning},
journal = {IEEE Transactions on Emerging Topics in Computational Intelligence},
year = {2026}
}
[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
@article{chen2026classifying,
author = {Chen, Shu and Xia, Xiaoyun and Li, Mengke and Zhang, Yiqun and Lu, Yang and Cheung, Yiu-ming},
title = {Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning},
journal = {IEEE Transactions on Multimedia},
year = {2026}
}
[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✉
@article{zhang2026how,
author = {Zhang, Yiqun and Zhang, Yunfan and Zhao, Mingjie and Feng, Sen and Cheung, Yiu-ming},
title = {How to Ask the AI: A User Perspective Survey for Large Language Model Prompting},
journal = {IEEE Transactions on Artificial Intelligence},
year = {2026}
}
[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
@article{ye2026nidc,
author = {Ye, Jiayu and Zeng, An and Pan, Dan and Chen, Junhao and Zhao, Jingliang and Zhang, Yiqun and Liu, Yang},
title = {NIDC: General Task Backbone for Neuroimaging Analysis via Interpretable Deep Clustering},
journal = {IEEE Transactions on Multimedia},
volume={28},
pages={3958--3973},
year = {2026}
}
[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
@article{zhang2026oneshot,
author = {Zhang, Yiqun and Cai, Shenghong and Yang, Zihua and Feng, Sen and Ji, Yuzhu and Zhang, Haijun},
title = {One-Shot Federated Clustering of Non-Independent Completely Distributed Data},
journal = {IEEE Internet of Things Journal},
volume={13},
number={7},
pages={14964--14978},
year = {2026}
}
[J023]
TAI'26
Trending Applications of Large Language Models: A User Perspective Survey
Yiqun Zhang, Mingjie Zhao, Yunfan Zhang and Yiu-ming Cheung✉
@article{zhang2026trending,
author = {Zhang, Yiqun and Zhao, Mingjie and Zhang, Yunfan and Cheung, Yiu-ming},
title = {Trending Applications of Large Language Models: A User Perspective Survey},
journal = {IEEE Transactions on Artificial Intelligence},
volume={7},
number={4},
pages={1835--1852},
year = {2026}
}
[J022]
TCYB'26
Online Heterogeneous Feature Selection
Yiqun Zhang, Xinxi Chen, Lang Zhao, Yuzhu Ji, Peng Liu and Yiu-ming Cheung✉
@article{zhang2025online,
author = {Zhang, Yiqun and Chen, Xinxi and Zhao, Lang and Ji, Yuzhu and Liu, Peng and Cheung, Yiu-ming},
title = {Online Heterogeneous Feature Selection},
journal = {IEEE Transactions on Cybernetics},
volume={56},
number={4},
pages={2224--2237},
year = {2026}
}
[J021]
IoTJ'26
Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers
Yiqun Zhang, Zexi Tan, Xiaopeng Luo✉ and Yunlin Liu
@article{zhang2026hierarchical,
author = {Zhang, Yiqun and Tan, Zexi and Luo, Xiaopeng and Liu, Yunlin},
title = {Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers},
journal = {IEEE Internet of Things Journal},
volume={13},
number={5},
pages={9350--9364},
year = {2026}
}
[J020]
INS'26
Federated Hierarchical Clustering with Automatic Selection of Optimal Cluster Numbers
Yue Zhang, Chuanlong Qiu, Xinfa Liao and Yiqun Zhang✉
@article{zhang2026learning,
author = {Zhang, Yiqun and Huang, Zhanpei and Zhao, Mingjie and Zhang, Chuyao and Lu, Yang and Ji, Yuzhu and Gu, Fangqing and Zeng, An},
title = {Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection},
journal = {IEEE Transactions on Emerging Topics in Computational Intelligence},
volume={10},
number={1},
pages={721--734},
year = {2026}
}
[J018]
PEASA'25
AI in the Era of Large Language Models: Current State, Applications, Limitations, and Future
@article{zhang2025ai,
author = {Zhang, Yiqun and Cheung, Yiu-ming},
title = {AI in the Era of Large Language Models: Current State, Applications, Limitations, and Future},
journal = {Proceedings of the European Academy of Sciences and Arts},
volume = {4},
number = {1},
pages = {1--12},
year = {2025}
}
[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
@article{zhang2025learning,
author = {Zhang, Yiqun and Feng, Sen and Wang, Pengkai and Tan, Zexi and Luo, Xiaopeng and Ji, Yuzhu and Zou, Rong and Cheung, Yiu-ming},
title = {Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
volume={36},
number={9},
pages={16049--16061},
year = {2025}
}
[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
@article{ye2025cmdvit,
author = {Ye, Jiayu and Yu, Yanhong and Wang, Qingxiang and Liu, Guolong and Li, Wentao and Zeng, An and Zhang, Yiqun and Liu, Yang and Zheng, Yunshao},
title = {CmdVIT: A Voluntary Facial Expression Recognition Model for Complex Mental Disorders},
journal = {IEEE Transactions on Image Processing},
volume={34},
pages={3013--3024},
year = {2025}
}
[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
@article{ji2025smacnet,
author = {Ji, Yuzhu and Hu, Wei and Gan, Guoji and Long, Zhiquan and Zhang, Yiqun and Zeng, An and Zhang, Haijun},
title = {SMACNet: A Unified Framework for One-shot Talking Head Synthesis via Subtle Motion and Appearance Compensation},
journal = {IEEE Transactions on Consumer Electronics},
volume={71},
number={4},
pages={9315--9327},
year = {2025}
}
[J014]
ESWA'25
Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
Yiqun Zhang, Mingjie Zhao, Yizhou Chen, Yang Lu✉ and Yiu-ming Cheung
@article{zhang2025learningunified,
author = {Zhang, Yiqun and Zhao, Mingjie and Chen, Yizhou and Lu, Yang and Cheung, Yiu-ming},
title = {Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering},
journal = {Expert Systems with Applications},
volume={273},
pages={126738},
year = {2025}
}
@article{zou2025sdenk,
author = {Zou, Rong and Zhang, Yunfan and Zhao, Mingjie and Tan, Zexi and Zhang, Yiqun and Cheung, Yiu-ming},
title = {SDENK: Unbiased Subspace Density-k-Clustering},
journal = {Neurocomputing},
volume={653},
pages={131225},
year = {2025}
}
[J012]
EXSY'25
Towards Clustering of Incomplete Mixed-Attribute Data
Chuyao Zhang, Xinxi Chen, Zexi Tan, Fangqing Gu, Yuzhu Ji and Yiqun Zhang✉
@article{zhang2025towards,
author = {Zhang, Chuyao and Chen, Xinxi and Tan, Zexi and Gu, Fangqing and Ji, Yuzhu and Zhang, Yiqun},
title = {Towards Clustering of Incomplete Mixed-Attribute Data},
journal = {Expert Systems},
volume={42},
number={7},
pages={e70074},
year = {2025}
}
[J011]
IJWMIP'25
Efficient Streaming Data Clustering Guided by Self-Refined Organizing Map
Mei Yin, Zexi Tan, Yunfan Zhang, Yiqun Zhang✉ and Yang Lu
@article{yin2025efficient,
author = {Yin, Mei and Tan, Zexi and Zhang, Yunfan and Zhang, Yiqun and Lu, Yang},
title = {Efficient Streaming Data Clustering Guided by Self-Refined Organizing Map},
journal = {International Journal of Wavelets, Multiresolution and Information Processing},
volume={23},
number={6},
pages={2550027},
year = {2025}
}
[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
@article{ye2025mssnet,
author = {Ye, Jiayu and Pan, Dan and Zeng, An and Zhang, Yiqun and Chen, Qiuping and Liu, Yang},
title = {MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer’s Disease},
journal = {IEEE Transactions on Emerging Topics in Computational Intelligence},
volume={9},
number={2},
pages={1454--1468},
year = {2025}
}
[J009]
TNNLS'25
Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning
Baoyao Yang, Pong Chi Yuen✉, Yiqun Zhang and An Zeng
@article{yang2023allosteric,
author = {Yang, Baoyao and Yuen, Pong Chi and Zhang, Yiqun and Zeng, An},
title = {Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
volume={36},
number={2},
pages={3042--3056},
year = {2025}
}
[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
@article{zhang2025adaptive,
author = {Zhang, Yunfan and Zou, Rong and Zhang, Yiqun and Zhang, Yue and Cheung, Yiu-ming and Li, Kangshun},
title = {Adaptive Micro Partition and Hierarchical Merging for Accurate Mixed Data Clustering},
journal = {Complex \& Intelligent Systems},
volume={11},
number={1},
pages={84},
year = {2025}
}
[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
@article{ye2024madformer,
author = {Ye, Jiayu and Zeng, An and Pan, Dan and Zhang, Yiqun and Zhao, Jingliang and Chen, Qiuping and Liu, Yang},
title = {MAD-Former: A Traceable Interpretability Model for Alzheimer's Disease Recognition Based on Multi-Patch Attention},
journal = {IEEE Journal of Biomedical and Health Informatics},
volume={28},
number={6},
pages={3637--3648},
year = {2024}
}
[J006]
TNNLS'23
Graph-based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data
@article{zhang2022learnable,
author = {Zhang, Yiqun and Cheung, Yiu-ming},
title = {Learnable Weighting of Intra-attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={44},
number={7},
pages={3560--3576},
year = {2022}
}
[J004]
TCYB'22
A New Distance Metric Exploiting Heterogeneous Inter-Attribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering
@article{zhang2022new,
author = {Zhang, Yiqun and Cheung, Yiu-ming},
title = {A New Distance Metric Exploiting Heterogeneous Inter-Attribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering},
journal = {IEEE Transactions on Cybernetics},
volume={52},
number={2},
pages={758--771},
year = {2022}
}
[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
@article{zeng2021discovery,
author = {Zeng, An and Rong, Huabin and Pan, Dan and Jia, Longfei and Zhang, Yiqun and Zhao, Fengyi and Peng, Shaoliang},
title = {Discovery of Genetic Biomarkers for Alzheimer’s Disease Using Adaptive Convolutional Neural Networks Ensemble and Genome-Wide Association Studies},
journal = {Interdisciplinary Sciences: Computational Life Sciences},
volume={13},
number={4},
pages={787--800},
year = {2021}
}
[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
@article{zhang2020unified,
author = {Zhang, Yiqun and Cheung, Yiu-ming and Tan, Kay Chen},
title = {A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
volume={31},
number={1},
pages={39--52},
year = {2020}
}
[J001]
TNNLS'19
Fast and Accurate Hierarchical Clustering based on Growing Multilayer Topology Training
@article{cheung2019fast,
author = {Cheung, Yiu-ming and Zhang, Yiqun},
title = {Fast and Accurate Hierarchical Clustering based on Growing Multilayer Topology Training},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
volume={30},
number={3},
pages={876--890},
year = {2019}
}
Conference Papers
[C058]
ICDM'26
When Prediction Shapes the Future: A BlueSky Agenda for Reflexive Time Series Analysis
Tao Xie, Yiqun Zhang✉ and Yiu-Ming Cheung
CCF-B | CORE A* | BlueSky Track Paper |
Paper
Code
@inproceedings{xie2026when,
author = {Xie, Tao and Zhang, Yiqun and Cheung, Yiu-ming},
title = {When Prediction Shapes the Future: A BlueSky Agenda for Reflexive Time Series Analysis},
booktitle = {Proceedings of the IEEE International Conference on Data Mining (ICDM)},
address = {Shenyang, China, November 12--15},
year = {2026}
}
[C057]
CIKM'26
Stitch the Fragments: One-Shot Hierarchical Federated Clustering
Shenghong Cai, Zihua Yang, Yuzhu Ji, Yiqun Zhang✉, Mengke Li, Yang Lu and Yiu-Ming Cheung
@inproceedings{cai2026stitch,
author = {Cai, Shenghong and Yang, Zihua and Ji, Yuzhu and Zhang, Yiqun and Li, Mengke and Lu, Yang and Cheung, Yiu-ming},
title = {Stitch the Fragments: One-Shot Hierarchical Federated Clustering},
booktitle = {Proceedings of the ACM International Conference on Knowledge and Information Management (CIKM)},
address = {Rome, Italy, November 7--11},
year = {2026}
}
[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
@inproceedings{zhang2026imputation,
author = {Zhang, Chuyao and Li, E and Chen, Taochen and Zhang, Yiqun and Ji, Yuzhu and Zhao, Shuping and Liu, Peng and Cheung, Yiu-ming},
title = {Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery},
booktitle = {Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
address = {Naples, Italy, September 7--11},
year = {2026}
}
[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
@inproceedings{yang2026bridging,
author = {Yang, Zihua and Liao, Xin and Zhang, Yiqun and Cheung, Yiu-ming},
title = {Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models},
booktitle = {Proceedings of the International Conference on Pattern Recognition (ICPR)},
address = {Lyon, France, August 17--22},
year = {2026}
}
[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
@inproceedings{xie2026anchormoe,
author = {Xie, Tao and Tan, Zexi and Xiao, Haoyi and Li, Mengke and Zhang, Yiqun and Lu, Yang and Yang, Cuie and Cheung, Yiu-ming},
title = {AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE},
booktitle = {Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
address = {Jeju, South Korea, August 9--13},
year = {2026}
}
[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✉
@inproceedings{li2026care,
author = {Li, Mengke and Ling, Haiquan and Chen, Lihao and Lu, Yang and Zhang, Yiqun and Huang, Hui},
title = {CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels},
booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
address = {Seoul, South Korea, July 6--11},
year = {2026}
}
[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
@inproceedings{chen2026fmoe,
author = {Chen, Taochen and Chen, Jialiang and Zhang, Yiqun and Li, Mengke and Lu, Yang and Cheung, Yiu-ming},
title = {FMoE: Frequency-Guided Multi-Period MoE Modeling for Time Series Forecasting},
booktitle = {Proceedings of the International Joint Conference on Neural Networks (IJCNN)},
address = {Maastricht, Netherlands, June 21--26},
year = {2026}
}
[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
@inproceedings{jin2026pinlora,
author = {Jin, Chenghao and Hou, Shihao and Yang, Jiacheng and Li, Mengke and Zhang, Yiqun and Lu, Yang and Cheung, Yiu-ming},
title = {PIN-LoRA: Positive-Incentive Noise Aggregation for Federated Long-Tailed Learning},
booktitle = {Proceedings of the International Joint Conference on Neural Networks (IJCNN)},
address = {Maastricht, Netherlands, June 21--26},
year = {2026}
}
[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✉
@inproceedings{liu2026secos,
author = {Liu, Hezhao and Yang, Jiacheng and Gao, Junlong and Li, Mengke and Zhang, Yiqun and Gowda, Shreyank N and Lu, Yang},
title = {SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
address = {Denver, CO, USA, June 3--7},
year = {2026}
}
[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✉
@inproceedings{hou2026finetuning,
author = {Hou, Shihao and Shang, Chikai and Yang, Zhiheng and Yang, Jiacheng and Shang, Xinyi and Gao, Junlong and Zhang, Yiqun and Lu, Yang},
title = {Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
address = {Denver, CO, USA, June 3--7},
year = {2026}
}
[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✉
@inproceedings{zhang2026categorical,
author = {Zhang, Yiqun and Zhao, Mingjie and Jia, Hong and Li, Mengke and Lu, Yang and Cheung, Yiu-ming},
title = {Categorical Data Clustering via Value Order Estimated Distance Metric Learning},
booktitle = {Proceedings of the ACM SIGMOD International Conference on Management of Data},
address = {Bengaluru, India, May 31--June 5},
year = {2026}
}
[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
@inproceedings{qiu2026strpnet,
author = {Qiu, Shujie and Yang, Jie and Yu, Jiaqi and Zhang, Yiqun and Ji, Yuzhu and Liu, Peng},
title = {STRPNET: Video Salient Object Detection via Spatio-Temporal Scene Relation Propagation},
booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
address = {Barcelona, Spain, May 4--8},
year = {2026}
}
[C046]
ICASSP'26
CADM: Cluster-customized Adaptive Distance Metric for Categorical Data Clustering
@inproceedings{chen2026cadm,
author = {Chen, Taixi and Cheung, Yiu-ming and Zhang, Yiqun},
title = {CADM: Cluster-customized Adaptive Distance Metric for Categorical Data Clustering},
booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
address = {Barcelona, Spain, May 4--8},
year = {2026}
}
[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
@inproceedings{chen2026hyreal,
author = {Chen, Junyang and Lu, Yang and Li, Mengke and Yang, Cuie and Zhang, Yiqun and Cheung, Yiu-ming},
title = {HyReaL: Clustering Attributed Graph via Hyper-Complex Space Representation Learning},
booktitle = {Proceedings of the International Conference on Database Systems for Advanced Applications (DASFAA)},
address = {Jeju Island, South Korea, April 27--30},
year = {2026}
}
[C044]
AAAI'26
Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
Zexi Tan, Xiaopeng Luo, Yunlin Liu and Yiqun Zhang✉
@inproceedings{tan2026mask,
author = {Tan, Zexi and Luo, Xiaopeng and Liu, Yunlin and Zhang, Yiqun},
title = {Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering},
booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
address = {Singapore, January 20--27},
year = {2026}
}
[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
@inproceedings{zhao2026break,
author = {Zhao, Mingjie and Huang, Zhanpei and Lu, Yang and Li, Mengke and Zhang, Yiqun and Su, Weifeng and Cheung, Yiu-ming},
title = {Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering},
booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
address = {Singapore, January 20--27},
year = {2026}
}
[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
@inproceedings{xie2025de3s,
author = {Xie, Tao and Tan, Zexi and Xiao, Haoyi and Zhang, Yiqun and Sun, Binbin},
title = {DE3S: Dual-Enhanced Soft-Sparse-Shape Learning for Medical Early Time-Series Classification},
booktitle = {Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
address = {Wuhan, China, December 15--18},
year = {2025}
}
[C041]
CIS'25
Detecting Autism Spectrum Disorder with Deep Eye Movement Features
Zhanpei Huang, Taochen Chen, Fangqing Gu and Yiqun Zhang✉
@inproceedings{huang2025detecting,
author = {Huang, Zhanpei and Chen, Taochen and Gu, Fangqing and Zhang, Yiqun},
title = {Detecting Autism Spectrum Disorder with Deep Eye Movement Features},
booktitle = {Proceedings of the International Conference on Computational Intelligence and Security (CIS)},
address = {Nanning, China, December 12--15},
year = {2025}
}
[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✉
@inproceedings{liang2025ai,
author = {Liang, Zihao and Wang, Yiou and Zhao, Mingjie and Feng, Sen and Zhang, Yunfan and Zhang, Yiqun},
title = {An AI Education Framework based on LLM-Knowledge Graph for Personalized Learning},
booktitle = {Proceedings of the International Conference on Computational Intelligence and Security (CIS)},
address = {Nanning, China, December 12--15},
year = {2025}
}
[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
@inproceedings{tan2025meetsepsis,
author = {Tan, Zexi and Xie, Tao and Sun, Binbin and Zhang, Xiang and Zhang, Yiqun and Cheung, Yiu-ming},
title = {MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction},
booktitle = {Proceedings of the Pacific Rim International Conference on Artificial Intelligence (PRICAI)},
address = {Wellington, New Zealand, November 17--21},
year = {2025}
}
[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
@inproceedings{liu2025fate,
author = {Liu, Hezhao and Lu, Yang and Li, Mengke and Zhang, Yiqun and Gowda, Shreyank N and Gong, Chen and Wang, Hanzi},
title = {FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data},
booktitle = {Proceedings of the ACM International Conference on Multimedia (ACMMM)},
address = {Dublin, Ireland, October 27--31},
year = {2025}
}
[C037]
ECAI'25
FairFed++: Closing the Fairness Gap in Federated Learning through Self-Evolving Clustered Optimization
@inproceedings{fang2025fairfed,
author = {Fang, Zhixiang and Yang, Baoyao and Zhan, Weide and Tang, Yanchao and Zhang, Yiqun},
title = {FairFed++: Closing the Fairness Gap in Federated Learning through Self-Evolving Clustered Optimization},
booktitle = {Proceedings of the European Conference on Artificial Intelligence (ECAI)},
address = {Bologna, Italy, October 25--30},
year = {2025}
}
[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
@inproceedings{shang2025provpt,
author = {Shang, Chikai and Li, Mengke and Zhang, Yiqun and Chen, Zhen and Wu, Jinlin and Gu, Fangqing and Lu, Yang and Cheung, Yiu-ming},
title = {PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
address = {Honolulu, Hawaii, USA, October 19--23},
year = {2025}
}
[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
@inproceedings{zhan2025fedcd,
author = {Zhan, Weide and Yang, Baoyao and Fang, Zhixiang and Li, Dongzhe and Ma, Yali and Zhang, Yiqun},
title = {FedCD: A Hybrid Federated Learning Framework for Adaptive Training Under Data Heterogeneity},
booktitle = {Proceedings of the Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},
address = {Shanghai, China, October 15--18},
year = {2025}
}
[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
@inproceedings{ji2025seqpose,
author = {Ji, Yuzhu and Sun, Mingshan and Shi, Jianyang and Jiang, Xiaoke and Zhang, Yiqun and Zhang, Haijun},
title = {SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation},
booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)},
address = {Montreal, Canada, August 16--22},
year = {2025}
}
[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
@inproceedings{zeng2025eegtfnet,
author = {Zeng, An and Guo, Zhao and Pan, Dan and Zhang, Yiqun and Liu, Jun},
title = {EEG-TFNet: Spatiotemporal and Spectral Feature Integration for EEG-Based AD Detection},
booktitle = {Proceedings of the International Symposium on Bioinformatics Research and Applications (ISBRA)},
address = {Helsinki, Finland, August 3--5},
year = {2025}
}
[C032]
ICIC'25
DeSAD: Density Clustering-Guided Streaming Data Anomaly Detection
@inproceedings{zhang2025desad,
author = {Zhang, Yue and Ding, Xuchuang and Zhang, Xiang and Ai, Wei and Huang, Gengwen and Zhang, Yiqun},
title = {DeSAD: Density Clustering-Guided Streaming Data Anomaly Detection},
booktitle = {Proceedings of the International Conference on Intelligent Computing (ICIC)},
address = {Ningbo, China, July 26--29},
year = {2025}
}
[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
@inproceedings{liu2025mind,
author = {Liu, Yijie and Shang, Xinyi and Zhang, Yiqun and Lu, Yang and Gong, Chen and Xue, Jing-Hao and Wang, Hanzi},
title = {Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
address = {Nashville, TN, USA, June 11--15},
year = {2025}
}
[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
@inproceedings{feng2025robust,
author = {Feng, Sen and Zhao, Mingjie and Huang, Zhanpei and Ji, Yuzhu and Zhang, Yiqun and Cheung, Yiu-ming},
title = {Robust Qualitative Data Clustering via Learnable Multi-Metric Space Fusion},
booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
address = {Hyderabad, India, April 6--11},
year = {2025}
}
[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
@inproceedings{peng2025weighted,
author = {Peng, Maixuan and Wu, Yuyang and Zhang, Yiqun and Lu, Yang and Li, Mengke and Cheung, Yiu-ming},
title = {Weighted Density for The Win: Accurate Subspace Density Clustering},
booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
address = {Hyderabad, India, April 6--11},
year = {2025}
}
[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
@inproceedings{hu2025smartnet,
author = {Hu, Wei and Ji, Yuzhu and Zeng, An and Pan, Dan and Zhang, Yiqun and Zhang, Haijun},
title = {SmartNet: One-shot Talking Head Synthesis via Subtle Motion and Appearance Compensation},
booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
address = {Hyderabad, India, April 6--11},
year = {2025}
}
[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
@inproceedings{zhang2025asynchronous,
author = {Zhang, Yunfan and Zhang, Yiqun and Lu, Yang and Li, Mengke and Chen, Xi and Cheung, Yiu-ming},
title = {Asynchronous Federated Clustering with Unknown Number of Clusters},
booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
address = {Philadelphia, PA, USA, February 25--March 4},
year = {2025}
}
[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✉
@inproceedings{li2024improving,
author = {Li, Mengke and Liu, Ye and Lu, Yang and Zhang, Yiqun and Cheung, Yiu-ming and Huang, Hui},
title = {Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition},
booktitle = {Proceedings of the Conference on Neural Information Processing Systems (NeurIPS)},
address = {Vancouver, BC, Canada, December 10--15},
year = {2024}
}
[C025]
BIBM'24
MGOD: Multi-Granular Outlier Detection with Clustlier Analysis
Qingsheng Chen, Mingjie Zhao, Yuzhu Ji, Xiaopeng Luo, Yiqun Zhang✉ and Yue Zhang
@inproceedings{chen2024mgod,
author = {Chen, Qingsheng and Zhao, Mingjie and Ji, Yuzhu and Luo, Xiaopeng and Zhang, Yiqun and Zhang, Yue},
title = {MGOD: Multi-Granular Outlier Detection with Clustlier Analysis},
booktitle = {Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
address = {Lisbon, Portugal, December 3--6},
year = {2024}
}
[C024]
BIBM'24
Efficient Topology-Driven Clustering for Imbalanced Streaming Biomedical Data Analysis
Xiaopeng Luo, Yiqun Zhang✉, Yuzhu Ji, Peng Liu and Taoting Xiao
@inproceedings{luo2024efficient,
author = {Luo, Xiaopeng and Zhang, Yiqun and Ji, Yuzhu and Liu, Peng and Xiao, Taoting},
title = {Efficient Topology-Driven Clustering for Imbalanced Streaming Biomedical Data Analysis},
booktitle = {Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
address = {Lisbon, Portugal, December 3--6},
year = {2024}
}
[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
@inproceedings{zhang2024towards,
author = {Zhang, Yunfan and Luo, Xiaopeng and Chen, Qingsheng and Zou, Rong and Zhang, Yiqun and Cheung, Yiu-ming},
title = {Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data},
booktitle = {Proceedings of the International Conference on Pattern Recognition (ICPR)},
address = {Kolkata, India, December 1--5},
year = {2024}
}
[C022]
PRCV'24
FedHC: Learning Imbalanced Clusters via Federated Hierarchical Clustering
@inproceedings{zhang2024fedhc,
author = {Zhang, Yue and Liao, Xinfa and Chen, Qingsheng and Wu, Hao-Tian and Zhang, Yiqun},
title = {FedHC: Learning Imbalanced Clusters via Federated Hierarchical Clustering},
booktitle = {Proceedings of the Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},
address = {Urumqi, China, October 18--21},
year = {2024}
}
[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
@inproceedings{ji2024fedgc,
author = {Ji, Xu and Wu, Haotian and Cui, Ting and Zhang, Yiqun and Xu, Lingling},
title = {FedGC: Federated Learning on Non-IID Data via Learning from Good Clients},
booktitle = {Proceedings of the Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},
address = {Urumqi, China, October 18--21},
year = {2024}
}
[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
@inproceedings{zhao2024learning,
author = {Zhao, Mingjie and Feng, Sen and Zhang, Yiqun and Li, Mengke and Lu, Yang and Cheung, Yiu-ming},
title = {Learning Order Forest for Qualitative-Attribute Data Clustering},
booktitle = {Proceedings of the European Conference on Artificial Intelligence (ECAI)},
address = {Santiago de Compostela, Spain, October 19--24},
year = {2024}
}
[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
@inproceedings{ji2024cpnet,
author = {Ji, Yuzhu and Sun, Mingshan and Zhang, Yiqun and Zhang, Haijun},
title = {CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-organ Segmentation},
booktitle = {Proceedings of the European Conference on Artificial Intelligence (ECAI)},
address = {Santiago de Compostela, Spain, October 19--24},
year = {2024}
}
[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
@inproceedings{chen2024qgrl,
author = {Chen, Junyang and Ji, Yuzhu and Zou, Rong and Zhang, Yiqun and Cheung, Yiu-ming},
title = {QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering},
booktitle = {Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
address = {Barcelona, Spain, August 25--29},
year = {2024}
}
[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
@inproceedings{cai2024robust,
author = {Cai, Shenghong and Zhang, Yiqun and Luo, Xiaopeng and Cheung, Yiu-ming and Jia, Hong and Liu, Peng},
title = {Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning},
booktitle = {Proceedings of the IEEE International Conference on Distributed Computing Systems (ICDCS)},
address = {Jersey City, NJ, USA, July 23--26},
year = {2024}
}
[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
@inproceedings{wang2024clustering,
author = {Wang, Pengkai and Zhang, Yunfan and Zhang, Yiqun and Lu, Yang and Li, Mengke and Cheung, Yiu-ming},
title = {Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values},
booktitle = {Proceedings of the International Joint Conference on Neural Networks (IJCNN)},
address = {Yokohama, Japan, June 30--July 5},
year = {2024}
}
[C015]
DOCS'24
Federated Clustering with Unknown Number of Clusters
Rong Zou, Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li and Yiu-ming Cheung✉
@inproceedings{zou2024federated,
author = {Zou, Rong and Zhang, Yunfan and Zhang, Yiqun and Lu, Yang and Li, Mengke and Cheung, Yiu-ming},
title = {Federated Clustering with Unknown Number of Clusters},
booktitle = {Proceedings of the International Conference on Data-driven Optimization of Complex Systems (DOCS)},
address = {Hangzhou, China, August 16--18},
year = {2024}
}
[C014]
ICEIEC'24
Multi-Layer Attention Fusion and Edge-Guided Structural Enrichment Completion Network for Leaf Point Cloud
@inproceedings{liao2024multilayer,
author = {Liao, Qingqing and Zeng, An and Ji, Yuzhu and Zhang, Yiqun},
title = {Multi-Layer Attention Fusion and Edge-Guided Structural Enrichment Completion Network for Leaf Point Cloud},
booktitle = {Proceedings of the IEEE International Conference on Electronics Information and Emergency Communication (ICEIEC)},
address = {Hangzhou, China, May 24--26},
year = {2024}
}
[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
@inproceedings{zhao2023selecting,
author = {Zhao, Lang and Zhang, Yiqun and Luo, Xiaopeng and Zhang, Yue and Cheung, Yiu-ming and Li, Kangshun},
title = {Selecting Heterogeneous Features based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis},
booktitle = {Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
address = {Istanbul, Turkey, December 5--8},
year = {2023}
}
[C012]
PRCV'23
Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning
@inproceedings{zhao2023unsupervised,
author = {Zhao, Mingjie and Zhang, Yiqun and Ji, Yuzhu and Lu, Yang},
title = {Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning},
booktitle = {Proceedings of the Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},
address = {Xiamen, China, October 13--15},
year = {2023}
}
[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
@inproceedings{zhang2023learning,
author = {Zhang, Zhipeng and Zhang, Yiqun and Zeng, An and Pan, Dan and Zhang, Xiaobo},
title = {Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting},
booktitle = {Proceedings of the Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},
address = {Xiamen, China, October 13--15},
year = {2023}
}
[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
@inproceedings{he2023cfnet,
author = {He, Shi-ting and Ji, Yuzhu and Zhang, Yiqun and Zeng, An and Pan, Dan and Lin, Jing and Zhang, Xiaobo},
title = {CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation},
booktitle = {Proceedings of the Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},
address = {Xiamen, China, October 13--15},
year = {2023}
}
[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
@inproceedings{zhang2023timeseries,
author = {Zhang, Zhipeng and Zhang, Yiqun and Zeng, An and Pan, Dan and Ji, Yuzhu and Zhang, Zhipeng and Lin, Jing},
title = {Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU},
booktitle = {Proceedings of the European Conference on Artificial Intelligence (ECAI)},
address = {Krakow, Poland, September 30--October 4},
year = {2023}
}
[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
@inproceedings{zhao2022heterogeneous,
author = {Zhao, Lang and Zhang, Yiqun and Ji, Yuzhu and Zeng, An and Gu, Fangqing and Luo, Xiaopeng},
title = {Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts},
booktitle = {Proceedings of the IEEE International Conference on Data Science and Advanced Analytics (DSAA)},
address = {Shenzhen, China, October 13--16},
year = {2022}
}
[C007]
DOCS'22
Causal Discovery of Medical Test Parameters Based on Improved PC Algorithm
@inproceedings{qiu2022causal,
author = {Qiu, Xueyao and Gu, Fangqing and Zhang, Yiqun},
title = {Causal Discovery of Medical Test Parameters Based on Improved PC Algorithm},
booktitle = {Proceedings of the International Conference on Data-driven Optimization of Complex Systems (DOCS)},
address = {Chengdu, China, September 23--25},
year = {2022}
}
[C006]
IJCAI'22
Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering
@inproceedings{zhang2022het2hom,
author = {Zhang, Yiqun and Cheung, Yiu-ming and Zeng, An},
title = {Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering},
booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)},
address = {Vienna, Austria, July 23--29},
year = {2022}
}
[C005]
AAAI'20
An Ordinal Data Clustering Algorithm with Automated Distance Learning
@inproceedings{zhang2020ordinal,
author = {Zhang, Yiqun and Cheung, Yiu-ming},
title = {An Ordinal Data Clustering Algorithm with Automated Distance Learning},
booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
address = {New York, NY, USA, February 7--12},
year = {2020}
}
[C004]
ISMIS'18
Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering
@inproceedings{zhang2018exploiting,
author = {Zhang, Yiqun and Cheung, Yiu-ming},
title = {Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering},
booktitle = {Proceedings of the International Symposium on Methodologies for Intelligent Systems (ISMIS)},
address = {Limassol, Cyprus, October 29--31},
year = {2018}
}
[C003]
ICACI'18
A Fast Hierarchical Clustering Approach Based on Partition and Merging Scheme
@inproceedings{zhang2018fast,
author = {Zhang, Yiqun and Cheung, Yiu-ming},
title = {A Fast Hierarchical Clustering Approach Based on Partition and Merging Scheme},
booktitle = {Proceedings of the International Conference on Advanced Computational Intelligence (ICACI)},
address = {Xiamen, China, March 29--31},
year = {2018}
}
[C002]
IJCNN'16
Quality Preserved Data Summarization for Fast Hierarchical Clustering
@inproceedings{zhang2016quality,
author = {Zhang, Yiqun and Cheung, Yiu-ming and Liu, Yang},
title = {Quality Preserved Data Summarization for Fast Hierarchical Clustering},
booktitle = {Proceedings of the International Joint Conference on Neural Networks (IJCNN)},
address = {Vancouver, BC, Canada, July 24--29},
year = {2016}
}
[C001]
ICDMW'14
Discretizing Numerical Attributes in Decision Tree for Big Data Analysis
@inproceedings{zhang2014discretizing,
author = {Zhang, Yiqun and Cheung, Yiu-ming},
title = {Discretizing Numerical Attributes in Decision Tree for Big Data Analysis},
booktitle = {Proceedings of the IEEE International Conference on Data Mining Workshop (ICDMW)},
address = {Shenzhen, China, December 14--17},
year = {2014}
}
Note: This list exclusively features publications that are either written in English or officially indexed by SCI/EI.