Local and Global Discriminative Learning for Unsupervised Feature Selection. - Liang Du 003; Zhiyong Shen; Xuan Li; Peng Zhou 006; Yi-Dong Shen (ICDM, 2013)

Convex Batch Mode Active Sampling via α-Relative Pearson Divergence. - Hanmo Wang; Liang Du 003; Peng Zhou 006; Lei Shi 015; Yi-Dong Shen (AAAI, 2015)

Experimental Design with Multiple Kernels. - Hanmo Wang; Liang Du 003; Peng Zhou 006; Lei Shi 015; Yuhua Qian; Yi-Dong Shen (ICDM, 2015)

Robust Multiple Kernel K-means Using L21-Norm. - Liang Du 003; Peng Zhou 006; Lei Shi 015; Hanmo Wang; Mingyu Fan; Wenjian Wang; Yi-Dong Shen (IJCAI, 2015)

Recovery of Corrupted Multiple Kernels for Clustering. - Peng Zhou 006; Liang Du 003; Lei Shi 015; Hanmo Wang; Yi-Dong Shen (IJCAI, 2015)

Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. - Peng Zhou 006; Liang Du 003; Hanmo Wang; Lei Shi 015; Yi-Dong Shen (IJCAI, 2015)

An LLE based Heterogeneous Metric Learning for Cross-media Retrieval. - Peng Zhou 006; Liang Du 003; Mingyu Fan; Yi-Dong Shen (SDM, 2015)

Lightweight Outsourced Privacy-Preserving Heart Failure Prediction Based on GRU. - Zuobin Ying; Shuanglong Cao; Peng Zhou 006; Shun Zhang; Ximeng Liu (ICA3PP (2), 2019)

Incremental Multi-view Support Vector Machine. - Peng Zhou 006; Yi-Dong Shen; Liang Du 003; Fan Ye (SDM, 2019)

Local Graph Reconstruction for Parameter Free Unsupervised Feature Selection. - Liang Du 003; Chaohong Ren; Xiaolin Lv; Yan Chen 036; Peng Zhou 006; Zhiguo Hu (IEEE Access, 2019)

Unsupervised Robust Multiple Kernel Learning via Extracting Local and Global Noises. - Peng Zhou 006; Fan Ye; Liang Du 003 (IEEE Access, 2019)

Incremental multi-view spectral clustering. - Peng Zhou 006; Yi-Dong Shen; Liang Du 003; Fan Ye; Xuejun Li 001 (Knowl. Based Syst., 2019)

Self-paced Consensus Clustering with Bipartite Graph. - Peng Zhou 006; Liang Du 003; Xuejun Li 001 (IJCAI, 2020)

Unsupervised Dual Learning for Feature and Instance Selection. - Liang Du 003; Xin Ren; Peng Zhou 006; Zhiguo Hu (IEEE Access, 2020)

Unsupervised feature selection for balanced clustering. - Peng Zhou 006; Jiangyong Chen; Mingyu Fan; Liang Du 003; Yi-Dong Shen; Xuejun Li 001 (Knowl. Based Syst., 2020)

Unsupervised feature selection with adaptive multiple graph learning. - Peng Zhou 006; Liang Du 003; Xuejun Li 001; Yi-Dong Shen; Yuhua Qian (Pattern Recognit., 2020)

Tri-level Robust Clustering Ensemble with Multiple Graph Learning. - Peng Zhou 006; Liang Du 003; Yi-Dong Shen; Xuejun Li 001 (AAAI, 2021)

Top-k Feature Selection Framework Using Robust 0-1 Integer Programming. - Xiaoqin Zhang 002; Mingyu Fan; Di Wang 008; Peng Zhou 006; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2021)

Self-Paced Clustering Ensemble. - Peng Zhou 006; Liang Du 003; Xinwang Liu 002; Yi-Dong Shen; Mingyu Fan; Xuejun Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

FRATCF: Feature-Residue Real-Time UAV Tracking Based on Automatic Spatio-Temporal Regularization Correlation Filter. - Yuan Yuan; Yanming Chen 002; Yueqing Jing; Peng Zhou 006; Yiwen Zhang 001 (ICME, 2022)

Information Augmentation for Few-shot Node Classification. - Zongqian Wu; Peng Zhou 006; Guoqiu Wen; Yingying Wan; Junbo Ma; Debo Cheng; Xiaofeng Zhu 001 (IJCAI, 2022)

Clustering ensemble via structured hypergraph learning. - Peng Zhou 006; Xia Wang; Liang Du 003; Xuejun Li 001 (Inf. Fusion, 2022)

Active deep image clustering. - Bicheng Sun; Peng Zhou 006; Liang Du 003; Xuejun Li 001 (Knowl. Based Syst., 2022)

Path Integration Enhanced Graph Attention Network. - Hui Wang 088; Peng Zhou 006; Junbo Ma (ADMA (4), 2023)

Medical Image Super-Resolution via Diagnosis-Guided Attention. - Jingwei Wang; Peng Zhou 006; Xianjun Han; Yanming Chen 002 (ICME, 2023)

Intensifying The Consistency of Pseudo Label Refinement for Unsupervised Domain Adaptation Person Re-Identification. - Linfan Zha; Yanming Chen 002; Peng Zhou 006; Yiwen Zhang 001 (ICME, 2023)

Totally Dynamic Hypergraph Neural Networks. - Peng Zhou 006; Zongqian Wu; Xiangxiang Zeng; Guoqiu Wen; Junbo Ma; Xiaofeng Zhu 001 (IJCAI, 2023)

Learnable Graph Filter for Multi-view Clustering. - Peng Zhou 006; Liang Du 003 (ACM Multimedia, 2023)

Balanced Spectral Feature Selection. - Peng Zhou 006; Jiangyong Chen; Liang Du 003; Xuejun Li 001 (IEEE Trans. Cybern., 2023)

Multi-scale graph classification with shared graph neural network. - Peng Zhou 006; Zongqian Wu; Guoqiu Wen; Kun Tang; Junbo Ma (World Wide Web (WWW), 2023)

Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering. - Peng Zhou 006; Xinwang Liu 002; Liang Du 003; Xuejun Li 001 (ACM Trans. Knowl. Discov. Data, 2023)

A Light Causal Feature Selection Approach to High-Dimensional Data. - Zhaolong Ling; Ying Li; Yiwen Zhang 001; Kui Yu; Peng Zhou 006; Bo Li 143; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Adaptive Consensus Clustering for Multiple K-Means Via Base Results Refining. - Peng Zhou 006; Liang Du 003; Xuejun Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Bi-level ensemble method for unsupervised feature selection. - Peng Zhou 006; Xia Wang; Liang Du 003 (Inf. Fusion, 2023)

K-Means Clustering Based on Chebyshev Polynomial Graph Filtering. - Liang Du 003; Yunhui Liang; Mian Ilyas Ahmad; Peng Zhou 006 (ICASSP, 2024)

Higher Order Multiple Graph Filtering for Structured Graph Learning. - Liang Du 003; Xiaodong Li; Yan Chen 036; Gui Yang; Mian Ilyas Ahmad; Peng Zhou 006 (ICASSP, 2024)

Jointly Learn the Base Clustering and Ensemble for Deep Image Clustering. - Chen Liang; Zhiqian Dong; Sheng Yang; Peng Zhou 006 (ICME, 2024)

Deep Self-paced Active Learning for Image Clustering. - Helin Zhao; Wei Chen; Peng Zhou 006 (ICME, 2024)

Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference. - Chenglong Zhang; Yang Fang; Xinyan Liang; Han Zhang; Peng Zhou 006; Xingyu Wu; Jie Yang 052; Bingbing Jiang 001; Weiguo Sheng 001 (IJCAI, 2024)

Active Deep Multi-view Clustering. - Helin Zhao; Wei Chen; Peng Zhou 006 (IJCAI, 2024)

Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks. - Zihao Xu; Chenglong Zhang; Zhaolong Ling; Peng Zhou 006; Yan Zhong 001; Li Li 037; Han Zhang; Weiguo Sheng 001; Bingbing Jiang 001 (IJCNN, 2024)

Fast and Scalable Incomplete Multi-View Clustering with Duality Optimal Graph Filtering. - Liang Du 003; Yukai Shi; Yan Chen 036; Peng Zhou 006; Yuhua Qian (ACM Multimedia, 2024)

One-Stage Fair Multi-View Spectral Clustering. - Rongwen Li; Haiyang Hu; Liang Du 003; Jiarong Chen; Bingbing Jiang 001; Peng Zhou 006 (ACM Multimedia, 2024)

Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion. - Chenglong Zhang; Xinyan Liang; Peng Zhou 006; Zhaolong Ling; Yingwei Zhang 002; Xingyu Wu; Weiguo Sheng 001; Bingbing Jiang 001 (ACM Multimedia, 2024)

Dual-Enhanced Disentangled Multi-View Clustering. - Zhiqian Dong; Sheng Yang; Peng Zhou 006 (MMAsia, 2024)

Fair Kernel K-Means: from Single Kernel to Multiple Kernel. - Peng Zhou 006; Rongwen Li; Liang Du 003 (NeurIPS, 2024)

Swin-HAUnet: A Swin-Hierarchical Attention Unet For Enhanced Medical Image Segmentation. - Jiarong Chen; Xuyang Zhang; Rongwen Li; Peng Zhou 006 (PRCV (14), 2024)

An effective algorithm for genealogical graph partitioning. - Shaojing Sheng; Zan Zhang 002; Peng Zhou 006; Xindong Wu 001 (Appl. Intell., 2024)

Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development. - Tengfei Ma 002; Xuan Lin; Tianle Li; Chaoyi Li; Long Chen; Peng Zhou 006; Xibao Cai; Xinyu Yang; Daojian Zeng; Dong-Sheng Cao 001; Xiangxiang Zeng (CoRR, 2024)

Unsupervised feature selection algorithm framework based on neighborhood interval disturbance fusion. - Xiaolin Lv; Liang Du 003; Peng Zhou 006; Peng Wu (CoRR, 2024)

Multiple Kernel Clustering via Local Regression Integration. - Liang Du 003; Xin Ren; Haiying Zhang; Peng Zhou 006 (CoRR, 2024)

Unsupervised Feature Selection Algorithm Based on Dual Manifold Re-ranking. - Yunhui Liang; Jianwen Gan; Yan Chen 036; Peng Zhou 006; Liang Du 003 (CoRR, 2024)

Clustering ensemble algorithm with high-order consistency learning. - Jianwen Gan; Yan Chen 036; Peng Zhou 006; Liang Du 003 (CoRR, 2024)

Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation. - Yunhui Liang; Jianwen Gan; Yan Chen 036; Peng Zhou 006; Liang Du 003 (CoRR, 2024)

Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion. - Liang Du 003; Henghui Jiang; Xiaodong Li; Yiqing Guo; Yan Chen 036; Feijiang Li; Peng Zhou 006; Yuhua Qian (CoRR, 2024)

Heat Kernel Diffusion for Enhanced Late Fusion Multi-View Clustering. - Gui Yang; Jiale Zou; Yan Chen 036; Liang Du 003; Peng Zhou 006 (IEEE Signal Process. Lett., 2024)

Multi-view Outlier Detection via Graphs Denoising. - Boao Hu; Xu Wang; Peng Zhou 006; Liang Du 003 (Inf. Fusion, 2024)

A Node Classification-Based Multiobjective Evolutionary Algorithm for Community Detection in Complex Networks. - Haipeng Yang; Bin Li; Fan Cheng 001; Peng Zhou 006; Renzhi Cao; Lei Zhang 060 (IEEE Trans. Comput. Soc. Syst., 2024)

Clustering Ensemble via Diffusion on Adaptive Multiplex. - Peng Zhou 006; Boao Hu; Dengcheng Yan; Liang Du 003 (IEEE Trans. Knowl. Data Eng., 2024)

Multiple kernel clustering with local kernel reconstruction and global heat diffusion. - Yan Chen 036; Liang Du 003; Peng Zhou 006; Lei Duan; Yuhua Qian (Inf. Fusion, 2024)

Partial Clustering Ensemble. - Peng Zhou 006; Liang Du 003; Xinwang Liu 002; Zhaolong Ling; Xia Ji 002; Xuejun Li 001; Yi-Dong Shen (IEEE Trans. Knowl. Data Eng., 2024)

Fair Feature Selection: A Causal Perspective. - Zhaolong Ling; Enqi Xu; Peng Zhou 006; Liang Du 003; Kui Yu; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2024)

Active Clustering Ensemble With Self-Paced Learning. - Peng Zhou 006; Bicheng Sun; Xinwang Liu 002; Liang Du 003; Xuejun Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Feature Graph Augmented Network Representation for Community Detection. - Lei Zhang 060; Zeqi Wu; Haipeng Yang; Wuji Zhang; Peng Zhou 006 (IEEE Trans. Comput. Soc. Syst., 2024)

Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering. - Bingbing Jiang 001; Chenglong Zhang; Xinyan Liang; Peng Zhou 006; Jie Yang 052; Xingyu Wu; Junyi Guan; Weiping Ding 001; Weiguo Sheng 001 (AAAI, 2025)

Local Causal Discovery Without Causal Sufficiency. - Zhaolong Ling; Jiale Yu; Yiwen Zhang 001; Debo Cheng; Peng Zhou 006; Xingyu Wu; Bingbing Jiang 001; Kui Yu (AAAI, 2025)

Unsupervised Multi-View Outlier Detection via Optimal Graph Filtering. - Zhiguo Hu; Ning Wang; Peng Zhou 006; Liang Du 003; Yuhua Qian; Cheng Wang; Yanming Zhang (ICASSP, 2025)

Consensus Graph Filter Learning for Multiple Graph Clustering. - Jiale Zou; Yan Chen 036; Peng Zhou 006; Chao Wen; Liang Du 003; Yuhua Qian (ICASSP, 2025)

Self-paced learning for anchor-based multi-view clustering: A progressive approach. - Xia Ji 002; Xinran Cheng; Peng Zhou 006 (Neurocomputing, 2025)

A pseudo-labeling approach based on knowledge distillation for graph few-shot learning. - Zongqian Wu; Peng Zhou 006; Guoqiu Wen; Xiaofeng Zhu 001 (Inf. Process. Manag., 2025)

Clustering Ensemble Based on Fuzzy Matrix Self-Enhancement. - Xia Ji 002; Jiawei Sun; Jianhua Peng; Yue Pang; Peng Zhou 006 (IEEE Trans. Knowl. Data Eng., 2025)

Fair Clustering Ensemble With Equal Cluster Capacity. - Peng Zhou 006; Rongwen Li; Zhaolong Ling; Liang Du 003; Xinwang Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Label-Aware Causal Feature Selection. - Zhaolong Ling; Jingxuan Wu; Yiwen Zhang 001; Peng Zhou 006; Xingyu Wu; Kui Yu; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Scalable Fuzzy Clustering With Collaborative Structure Learning and Preservation. - Bingbing Jiang 001; Chenglong Zhang; Zhongli Wang; Xinyan Liang; Peng Zhou 006; Liang Du 003; Qinghua Zhang 001; Weiping Ding 001; Yi Liu 037 (IEEE Trans. Fuzzy Syst., 2025)

A dual mixture-of-experts framework for multi-view K-means clustering with view balance and regional sparsity. - Liang Du 003; Yukai Shi; Yan Chen 036; Feijiang Li; Peng Zhou 006; Lei Duan; Yuhua Qian (Inf. Fusion, 2026)