Exploiting novelty, coverage and balance for topic-focused multi-document summarization. - Xuan Li; Yi-Dong Shen; Liang Du 003; Chen-Yan Xiong (CIKM, 2010)

Interval-valued Matrix Factorization with Applications. - Zhiyong Shen; Liang Du 003; Xukun Shen; Yi-Dong Shen (ICDM, 2010)

Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization. - Liang Du 003; Xuan Li; Yi-Dong Shen (ADMA (1), 2011)

User Graph Regularized Pairwise Matrix Factorization for Item Recommendation. - Liang Du 003; Xuan Li; Yi-Dong Shen (ADMA (2), 2011)

Graph-Based Marginal Ranking for Update Summarization. - Xuan Li; Liang Du 003; Yi-Dong Shen (SDM, 2011)

Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization. - Liang Du 003; Xuan Li; Yi-Dong Shen (ICDM, 2012)

Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers. - Liang Wu 011; Alvin Chin; Guandong Xu; Liang Du 003; Xia Wang; Kangjian Meng; Yonggang Guo; Yuanchun Zhou (DASFAA (2), 2013)

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

Towards Robust Co-Clustering. - Liang Du 003; Yi-Dong Shen (IJCAI, 2013)

Joint Clustering and Feature Selection. - Liang Du 003; Yi-Dong Shen (WAIM, 2013)

A Self-Supervised Framework for Clustering Ensemble. - Liang Du 003; Yi-Dong Shen; Zhiyong Shen; Jianying Wang; Zhiwu Xu 001 (WAIM, 2013)

Heterogeneous Metric Learning for Cross-Modal Multimedia Retrieval. - Jun Deng; Liang Du 003; Yi-Dong Shen (WISE (1), 2013)

Update Summarization via Graph-Based Sentence Ranking. - Xuan Li; Liang Du 003; Yi-Dong Shen (IEEE Trans. Knowl. Data Eng., 2013)

Robust Spectral Learning for Unsupervised Feature Selection. - Lei Shi 015; Liang Du 003; Yi-Dong Shen (ICDM, 2014)

Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. - Liang Wu 011; Liang Du 003; Bo Liu 004; Guandong Xu; Yong Ge; Yanjie Fu; Jianhui Li; Yuanchun Zhou; Hui Xiong 001 (ICDM, 2014)

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)

Unsupervised Feature Selection with Adaptive Structure Learning. - Liang Du 003; Yi-Dong Shen (KDD, 2015)

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

Efficient sequential feature selection based on adaptive eigenspace model. - Nannan Gu; Mingyu Fan; Liang Du 003; Dongchun Ren (Neurocomputing, 2015)

Top-k Supervise Feature Selection via ADMM for Integer Programming. - Mingyu Fan; Xiaojun Chang; Xiaoqin Zhang 002; Di Wang 008; Liang Du 003 (IJCAI, 2017)

Semi-Supervised Learning Through Label Propagation on Geodesics. - Mingyu Fan; Xiaoqin Zhang 002; Liang Du 003; Liang Chen 012; Dacheng Tao (IEEE Trans. Cybern., 2018)

Consensus Graph Weighting via Trace Ratio Criterion for Multi-view Unsupervised Feature Selection. - Liang Du 003; Xiaolin Lv (ICDM Workshops, 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)

Manifold Adaptive Multiple Kernel K-Means for Clustering. - Liang Du 003; Haiying Zhang; Xin Ren; Xiaolin Lv (ACAI, 2020)

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)

Discriminative Multiple Kernel Concept Factorization for Data Representation. - Lin Mu; Haiying Zhang; Liang Du 003; Jie Gui; Aidan Li; Xi Zhang (IEEE Access, 2020)

Local Sensitive Dual Concept Factorization for Unsupervised Feature Selection. - Hua Zhao; Liang Du 003; Jianglai Wei; Yalong Fan (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)

Direct Alignment Maximization for Clustering Ensemble. - Liang Du 003; Kang Yang; Yunhui Liang; Xiaolin Lv (ICMLSC, 2021)

Graph-based Kullback-Leibler Divergence Minimization for Unsupervised Feature Selection. - Xiaolin Lv; Liang Du 003 (ICMLSC, 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)

A Trace Ratio Maximization Method for Parameter Free Multiple Kernel Clustering. - Yan Chen 036; Lei Wang; Liang Du 003; Lei Duan (DASFAA (2), 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)

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)

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)

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)

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)

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

Fast Asymmetric Factorization for Large Scale Multiple Kernel Clustering. - Yan Chen 036; Liang Du 003; Lei Duan (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)

Symmetry Nonnegative Matrix Factorization Algorithm Based on Self-paced Learning. - Lei Wang; Liang Du 003; Peng Zhou; Peng Wu (CoRR, 2024)

Multiple kernel concept factorization algorithm based on global fusion. - Fei Li; Liang Du 003; Chaohong Ren (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)

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)

Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization. - Liang Du 003; Henghui Jiang; Xiaodong Li; Yiqing Guo; Yan Chen 036; Feijiang Li; Peng Zhou 012; Yuhua Qian (AAAI, 2025)

k-HyperEdge Medoids for Clustering Ensemble. - Feijiang Li; Jieting Wang; Liuya Zhang; Yuhua Qian; Shuai Jin; Tao Yan; Liang Du 003 (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)

Enhanced Multi-View Clustering with Multiple Linear Graph Filtering. - Henghui Jiang; Liang Du 003 (ICMR, 2025)

A scalable Consensus Fast Graph Filtering approach for late fusion multi-view clustering. - Yiqing Guo; Henghui Jiang; Yan Chen 036; Liang Du 003 (Signal Process., 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)

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)