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Local and global discriminative learning for unsupervised feature selection

Published in IEEE 13th International Conference on Data Mining, 2013

Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou, Yi-Dong Shen. (2013). "Local and global discriminative learning for unsupervised feature selection." IEEE 13th International Conference on Data Mining. 131-140. paper

Convex batch mode active sampling via α-relative pearson divergence

Published in Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen. (2015). "Convex batch mode active sampling via α-relative pearson divergence." Twenty-Ninth AAAI Conference on Artificial Intelligence. 3045-3051. paper

An LLE based heterogeneous metric learning for cross-media retrieval

Published in Proceedings of the 2015 SIAM international conference on data mining, 2015

Peng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen. (2015). "An LLE based heterogeneous metric learning for cross-media retrieval." The Fifteenth SIAM International Conference on Data Mining (SDM-15). 64-72. paper codes

Robust multiple kernel k-means using l21-norm

Published in The Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-15), 2015

Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen. (2015). "Robust multiple kernel k-means using l21-norm." The Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-15). 3476-3482. paper

Recovery of corrupted multiple kernels for clustering

Published in Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen. (2015). "Recovery of corrupted multiple kernels for clustering." Twenty-Fourth International Joint Conference on Artificial Intelligence. 4105-4111. paper codes

Learning a robust consensus matrix for clustering ensemble via Kullback-Leibler divergence minimization

Published in Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen. (2015). "Learning a robust consensus matrix for clustering ensemble via Kullback-Leibler divergence minimization." Twenty-Fourth International Joint Conference on Artificial Intelligence. 4112-4118. paper supplementary material codes

Experimental Design with Multiple Kernels

Published in IEEE 15th International Conference on Data Mining, 2015

Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yuhua Qian, Yi-Dong Shen. (2015). "Experimental Design with Multiple Kernels." 2015 IEEE International Conference on Data Mining. 419-428. paper

Incremental Multi-view Support Vector Machine

Published in Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye. (2019). "Incremental Multi-view Support Vector Machine" The Nineteenth SIAM International Conference on Data Mining (SDM-19). 1-9. paper code

Incremental multi-view spectral clustering

Published in Knowledge-Based Systems, 2019

Peng Zhou, Yi-Dong Shen, Liang Du, Fan YE, Xuejun Li. (2019). "Incremental multi-view spectral clustering." Knowledge-Based Systems. 174, 73-86.paper code

Lightweight Outsourced Privacy-Preserving Heart Failure Prediction Based on GRU

Published in International Conference on Algorithms and Architectures for Parallel Processing, 2019

Zuobin Ying, Shuanglong Cao, Peng Zhou, Shun Zhang, Ximeng Liu. (2019). "Lightweight Outsourced Privacy-Preserving Heart Failure Prediction Based on GRU." International Conference on Algorithms and Architectures for Parallel Processing. 521-536. paper

Unsupervised feature selection for balanced clustering

Published in Knowledge-Based Systems, 2020

Peng Zhou, Jiangyong Chen, Mingyu Fan, Liang Du, Yi-Dong Shen, Xuejun Li. (2020). "Unsupervised feature selection for balanced clustering." Knowledge-Based Systems. 193, 105417. paper code

Unsupervised Feature Selection with Adaptive Multiple Graph Learning

Published in Pattern Recognition, 2020

Peng Zhou, Liang Du, Xuejun Li, Yi-Dong Shen, Yuhua Qian. (2020). "Unsupervised Feature Selection with Adaptive Multiple Graph Learning." Pattern Recognition. 105, 107375. paper code

Self-paced Consensus Clustering with Bipartite Graph

Published in Twenty-Nineth International Joint Conference on Artificial Intelligence, 2020

Peng Zhou, Liang Du, Xuejun Li. (2020). "Self-paced Consensus Clustering with Bipartite Graph." Twenty-Nineth International Joint Conference on Artificial Intelligence, 2020:2133-2139. paper code

Self-paced Clustering Ensemble

Published in IEEE Transactions on Neural Networks and Learning Systems, 2021

Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li. (2021). "Self-paced Clustering Ensemble." IEEE Transactions on Neural Networks and Learning Systems. 2021,32(4):1497-1511.paper code

One-factor Cancellable Biometrics Verification Scheme (一种单因子的可撤销生物特征认证方法)

Published in Acta Automatica Sinica (自动化学报), 2021

Xiao-Jing Kong, Xue-Jun Li, Zhe Jin, Peng Zhou, Jiangyong Chen. (2021). "One-factor Cancellable Biometrics Verification Scheme." Acta Automatica Sinica 2021,47(5):1159-1170. (In Chinese)
孔小景，李学俊，金哲，周芃，陈江勇. (2021). "一种单因子的可撤销生物特征认证方法." 自动化学报. 2021,47(5):1159-1170. paper

Tri-level Robust Clustering Ensemble with Multiple Graph Learning

Published in Thirty-fifth AAAI Conference on Aritificial Intelligence, 2021

Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li. (2021). "Tri-level Robust Clustering Ensemble with Multiple Graph Learning." Thirty-fifth AAAI Conference on Aritificial Intelligence, 2021:11125-11133 paper code

Top-k Feature Selection Framework Using Robust 0-1 Integer Programming

Published in IEEE Transactions on Neural Networks and Learning Systems, 2021

Xiaoqin Zhang, Mingyu Fan, Di Wang, Peng Zhou*, Dacheng Tao. (2021). "Top-k Feature Selection Framework Using Robust 0-1 Integer Programming." IEEE Transactions on Neural Networks and Learning Systems,2021,32(7):3005-3019. (Corresponding author) paper supplementary material code

Clustering Ensemble via Structured Hypergraph Learning

Published in Information Fusion, 2022

Peng Zhou, Xia Wang, Liang Du, Xuejun Li. (2022). "Clustering Ensemble via Structured Hypergraph Learning." Information Fusion, 2022,78:171-179. paper supplementary material code

FRATCF:Feature-Residue Real-Time UAV Tracking Based on Automatic Spatio-Temporal Regularization Correlation Filter

Published in IEEE International Conference on Multimedia and Expo, 2022

Yuan Yuan, Yanming Chen, Yueqing Jing, Peng Zhou, Yiwen Zhang. (2022). "FRATCF:Feature-Residue Real-Time UAV Tracking Based on Automatic Spatio-Temporal Regularization Correlation Filter." IEEE International Conference on Multimedia and Expo (ICME 2022), 2022. paper

Active Deep Image Clustering

Published in Knowledge-Based Systems, 2022

Bicheng Sun, Peng Zhou*, Liang Du, Xuejun Li. (2022). "Active Deep Image Clustering." Knowledge-Based Systems, 252,109346. (Corresponding author) paper code

Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering

Published in ACM Transactions on Knowledge Discovery from Data, 2023

Peng Zhou, Xinwang Liu, Liang Du, Xuejun Li. (2023). "Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering." ACM Transactions on Knowledge Discovery from Data, 17,5,Article 62:1-35. paper code

Medical Image Super-Resolution via Diagnosis-Guided Attention

Published in IEEE International Confenrence on Multimedia and Expo, 2023

Jingwei Wang, Peng Zhou*, Xianjun Han, Yanming Chen. (2023). "Medical Image Super-Resolution via Diagnosis-Guided Attention." IEEE International Confenrence on Multimedia and Expo, 2023:462-467. (Corresponding author) paper code

Intensifying the Consistency of Pseudo Label Refinement for Unsupervised Domain Adaption Person Re-identification

Published in IEEE International Confenrence on Multimedia and Expo, 2023

Linfan Zha, Yanming Chen, Peng Zhou, Yiwen Zhang. (2023). "Intensifying the Consistency of Pseudo Label Refinement for Unsupervised Domain Adaption Person Re-identification." IEEE International Confenrence on Multimedia and Expo, 2023:1547-1552. paper

Active Clustering Ensemble With Self-Paced Learning

Published in IEEE Transactions on Neural Networks and Learning Systems, 2023

Peng Zhou, Bicheng Sun, Xinwang Liu, Liang Du, Xuejun Li. (2023). "Active Clustering Ensemble With Self-Paced Learning." IEEE Transactions on Neural Networks and Learning Systems, Accepted. paper code

Balanced Spectral Feature Selection

Published in IEEE Transactions on Cybernetics, 2023

Peng Zhou, Jiangyong Chen, Liang Du, Xuejun Li. (2023). "Balanced Spectral Feature Selection." IEEE Transactions on Cybernetics, 2023,53(7):4232-4244. paper code

Learnable Graph Filter for Multi-view Clustering

Published in ACM Internation Conference on Multimedia (ACM MM 2023), 2023

Peng Zhou, Liang Du. (2023). "Learnable Graph Filter for Multi-view Clustering." ACM Internation Conference on Multimedia (ACM MM), 2023:3089-3098. paper code

A Light Causal Feature Selection Approach to High-Dimensional Data

Published in IEEE Transactions on Knowledge and Data Engineering, 2023

Zhaolong Ling, Ying Li, Yiwen Zhang, Kui Yu, Peng Zhou, Bo Li, Xindong Wu. (2023). "A Light Causal Feature Selection Approach to High-Dimensional Data." IEEE Transactions on Knowledge and Data Engineering, 2023,35(8):7639-7650. paper

Adaptive Consensus Clustering for Multiple K-means via Base Results Refining

Published in IEEE Transactions on Knowledge and Data Engineering, 2023

Peng Zhou, Liang Du, Xuejun Li.(2023). "Adaptive Consensus Clustering for Multiple K-means via Base Results Refining." IEEE Transactions on Knowledge and Data Engineering, 2023,35(10):10251-10264. paper supplementary material code

Bi-level Ensemble Method for Unsupervised Feature Selection

Published in Information Fusion, 2023

Peng Zhou, Xia Wang, Liang Du. (2023). "Bi-level ensemble method for unsupervised feature selection." Information Fusion, 2023,100,101910. paper supplementary material code

Multi-view Outlier Detection via Graphs Denoising

Published in Information Fusion, 2024

Boao Hu, Xu Wang, Peng Zhou*, Liang Du. (2024). "Multi-view Outlier Detection via Graphs Denoising." Information Fusion, 2024,101,102012. (Corresponding author) paper code

Multiple Kernel Clustering with Local Kernel Reconstruction and Global Heat Diffusion

Published in Information Fusion, 2024

Yan Chen, Liang Du, Peng Zhou, Lei Duan, Yuhua Qian. (2024). " Multiple Kernel Clustering with Local Kernel Reconstruction and Global Heat Diffusion." Information Fusion, 2024,105:102219. paper

Fair Feature Selection: A Causal Perspective

Published in ACM Transactions on Knowledge Discovery from Data, 2024

Zhaolong Ling, Enqi Xu, Peng Zhou*, Liang Du, Kui Yu, Xindong Wu. (2024). "Fair Feature Selection: A Causal Perspective. " ACM Transactions on Knowledge Discovery from Data 2024, Accepted. (Corresponding author) paper

A Node Classification-Based Multi-Objective Evolutionary Algorithm for Community Detection in Complex Networks

Published in IEEE Transactions on Computational Social Systems, 2024

Haipeng Yang, Bin Li, Fan Cheng, Peng Zhou, Renzhi Cao, Lei Zhang. (2024). "A Node Classification-Based Multi-Objective Evolutionary Algorithm for Community Detection in Complex Networks." IEEE Transactions on Computational Social Systems, 2024,11(1):292-306. paper

Multi-View Clustering Based on Adaptive Similarity Graph Joint Optimization (自适应相似图联合优化的多视图聚类)

Published in Chinese Journal of Computers (计算机学报), 2024

Xia Ji, Ming-yuan Shi, Peng Zhou*, Sheng Yao. (2024). "Multi-View Clustering Based on Adaptive Similarity Graph Joint Optimization. " Chinese Journal of Computers 2024,47(2):310-322. (In Chinese) (Corresponding author)
纪霞，施明远，周芃*，姚晟. (2024). "自适应相似图联合优化的多视图聚类." 计算机学报. 2024,47(2):310-322. (通讯作者)paper

Deep Self-paced Active Learning for Image Clustering

Published in IEEE International Conference on Multimedia and Expo, 2024, 2024

Helin Zhao, Wei Chen, Peng Zhou*. (2024). "Deep Self-paced Active Learning for Image Clustering. " IEEE International Conference on Multimedia and Expo (ICME) 2024. (Corresponding author) paper supplementary material code

Jointly Learn the Base Clustering and Ensemble for Deep Image Clustering

Published in IEEE International Conference on Multimedia and Expo, 2024, 2024

Chen Liang, Zhiqian Dong, Sheng Yang, Peng Zhou*. (2024). "Jointly Learn the Base Clustering and Ensemble for Deep Image Clustering. " IEEE International Conference on Multimedia and Expo (ICME) 2024. (Corresponding author) paper code

Clustering Ensemble via Diffusion on Adaptive Multiplex

Published in IEEE Transactions on Knowledge and Data Engineering, 2024

Peng Zhou, Boao Hu, Dengcheng Yan, Liang Du. (2023). "Clustering Ensemble via Diffusion on Adaptive Multiplex." IEEE Transactions on Knowledge and Data Engineering, 2024,36(4):1463-1474. paper code

Active Deep Multi-view Clustering

Published in The International Joint Conference on Artificial Intelligence, 2024, 2024

Helin Zhao, Wei Chen, Peng Zhou*. (2024). "Active Deep Multi-view Clustering. " The International Joint Conference on Artificial Intelligence, (IJCAI) 2024. (Corresponding author) paper supplementary material code

Partial Clustering Ensemble

Published in IEEE Transactions on Knowledge and Data Engineering, 2024

Peng Zhou, Liang Du, Xinwang Liu, Zhaolong Ling, Xia Ji, Xuejun Li, Yi-Dong Shen. (2023). "Partial Clustering Ensemble." IEEE Transactions on Knowledge and Data Engineering, 2024,36(5):2096-2109. paper Supplementary material code

Feature Graph Augmented Network Representation for Community Detection

Published in IEEE Transactions on Computational Social Systems, 2024

Lei Zhang, Zeqi Wu, Haipeng Yang, Wuji Zhang, Peng Zhou*. (2024). "Feature Graph Augmented Network Representation for Community Detection. " IEEE Transactions on Computational Social Systems 2024, Accepted. (Corresponding author) paper

One-Stage Fair Multi-View Spectral Clustering

Published in ACM International Conference on Multimedia (ACM MM 2024), 2024

Rongwen Li, Haiyang Hu, Liang Du, Jiarong Chen, Bingbing Jiang, Peng Zhou*. (2024). "One-Stage Fair Multi-View Spectral Clustering. " ACM International Conference on Multimedia (ACM MM 2024) 2024, Accepted. (Corresponding author) paper supplementary material code

Fair Kernel K-Means: from Single Kernel to Multiple Kernel

Published in Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 2024

Peng Zhou, Rongwen Li, Liang Du. (2024). "Fair Kernel K-Means: from Single Kernel to Multiple Kerne. " The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024) 2024, Accepted. paper code

Fair Clustering Ensemble with Equal Cluster Capacity

Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Peng Zhou, Rongwen Li, Zhaolong Ling, Liang Du, Xinwang Liu. (2024). "Fair Clustering Ensemble with Equal Cluster Capacity. " IEEE Transactions on Pattern Analysis and Machine Intelligence 2024, Accepted. paper supplementary material code

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