The full list of my publications can be found on my Google Scholar profile.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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