Liang Du

102 papers A* 31A 5B 1Misc 4Journal 47Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Wolf in Sheep's Clothing: Unveiling a Stealthy Backdoor Attack in Subgraph Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Hao Yu, Wenjing Yang, Chuan Ma, Lingyuan Meng, Liang Du, Tao Xiang, Xinwang Liu, Kunlun He
2026 J jnl
A dual mixture-of-experts framework for multi-view K-means clustering with view balance and regional sparsity.
Inf. Fusion
Liang Du, Yukai Shi, Yan Chen, Feijiang Li, Peng Zhou, Lei Duan, Yuhua Qian
2026 J jnl
Consensus planning boosts LLM code generation.
Inf. Softw. Technol.
Chao Wen, Jie Liu, Liang Du
2026 A* conf
EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion.
AAAI
Li Zhang, Pinhan Fu, Li Lv, Qian Guo, Liang Du, Xinyan Liang
2026 J jnl
Interpretable Subspace Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Zheng Zhang, Peng Zhou, Aiting Yao, Liang Du, Xinwang Liu
2026 J jnl
Topological-aware multiple kernel learning for ensemble clustering.
Pattern Recognit.
Jiaxuan Xu, Lei Duan, Xinye Wang, Liang Du
2026 A* conf
Uncertainty-Guided View-Strength-Aware Feature Utilization for Multi-View Classification.
AAAI
Li Lv, Qian Guo, Li Zhang, Liang Du, Bingbing Jiang, Lu Chen, Xinyan Liang
2026 — conf
Vertical Federated K-Means for Multi-View Data Guided by a K-Means Cost Bound after Projection.
KDD (1)
Feijiang Li, Jinhao Jiang, Jieting Wang, Liang Du, Yuhua Qian
2025 — conf
A Unified Ensemble Clustering Framework via Higher-Order Graph Diffusion and Feedback-Based Refinement.
MMAsia
Faria Chowdhury Mumu, Kife I. Bin Iqbal, Liang Du
2025 J jnl
A scalable Consensus Fast Graph Filtering approach for late fusion multi-view clustering.
Signal Process.
Yiqing Guo, Henghui Jiang, Yan Chen, Liang Du
2025 A* conf
An Association-based Fusion Method for Speech Enhancement.
IJCAI
Shijie Wang, Qian Guo, Lu Chen, Liang Du, Zikun Jin, Zhian Yuan, Xinyan Liang
2025 A* conf
Balanced Multiple Kernel Clustering with Discrete Partition Entropy Auto Regularization.
ACM Multimedia
Yan Chen, Bingbing Jiang, Peng Zhou, Lei Duan, Yuhua Qian, Liang Du
2025 Misc conf
Consensus Graph Filter Learning for Multiple Graph Clustering.
ICASSP
Jiale Zou, Yan Chen, Peng Zhou, Chao Wen, Liang Du, Yuhua Qian
2025 A* conf
Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction.
IJCAI
Jiaxuan Xu, Lei Duan, Xinye Wang, Liang Du
2025 B conf
Enhanced Multi-View Clustering with Multiple Linear Graph Filtering.
ICMR
Henghui Jiang, Liang Du
2025 J jnl
FURINA: Free from Unmergeable Router via LINear Aggregation of mixed experts.
CoRR
Jiayi Han, Liang Du, Yinda Chen, Xiao Kang, Weiping Ding, Donghong Han
2025 J jnl
Fair Clustering Ensemble With Equal Cluster Capacity.
IEEE Trans. Pattern Anal. Mach. Intell.
Peng Zhou, Rongwen Li, Zhaolong Ling, Liang Du, Xinwang Liu
2025 — conf
Late Fusion Multiple Kernel Clustering Refined via Optimal Linear Graph Filtering.
ECML/PKDD (1)
Henghui Jiang, Yiqing Guo, Yan Chen, Liang Du
2025 A* conf
Robust Automatic Modulation Classification with Fuzzy Regularization.
ICML
Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li, Liang Du
2025 A* conf
Robust Tensor Learning with Graph Diffusion for Scalable Multi-view Graph Clustering.
ACM Multimedia
Jiale Zou, Yan Chen, Bingbing Jiang, Peng Zhou, Liang Du, Lei Duan, Yuhua Qian
2025 J jnl
Scalable Fuzzy Clustering With Collaborative Structure Learning and Preservation.
IEEE Trans. Fuzzy Syst.
Bingbing Jiang, Chenglong Zhang, Zhongli Wang, Xinyan Liang, Peng Zhou, Liang Du, Qinghua Zhang, Weiping Ding, Yi Liu
2025 A conf
Scalable Multi-Kernel Clustering with Dynamic Procrustes.
ICME
Lizhu Wu, Yan Chen, Peng Zhou, Liang Du
2025 A* conf
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization.
AAAI
Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian
2025 A* conf
Trusted Multi-View Classification with Expert Knowledge Constraints.
ICML
Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li
2025 Misc conf
Unsupervised Multi-View Outlier Detection via Optimal Graph Filtering.
ICASSP
Zhiguo Hu, Ning Wang, Peng Zhou, Liang Du, Yuhua Qian, Cheng Wang, Yanming Zhang
2025 A* conf
View-Association-Guided Dynamic Multi-View Classification.
IJCAI
Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen
2025 A* conf
Wavelet Multi-scale Region-Enhanced Network for Medical Image Segmentation.
IJCAI
Hang Lu, Liang Du, Peng Zhou
2025 A* conf
k-HyperEdge Medoids for Clustering Ensemble.
AAAI
Feijiang Li, Jieting Wang, Liuya Zhang, Yuhua Qian, Shuai Jin, Tao Yan, Liang Du
2024 J jnl
Active Clustering Ensemble With Self-Paced Learning.
IEEE Trans. Neural Networks Learn. Syst.
Peng Zhou, Bicheng Sun, Xinwang Liu, Liang Du, Xuejun Li
2024 J jnl
Clustering Ensemble via Diffusion on Adaptive Multiplex.
IEEE Trans. Knowl. Data Eng.
Peng Zhou, Boao Hu, Dengcheng Yan, Liang Du
2024 J jnl
Clustering ensemble algorithm with high-order consistency learning.
CoRR
Jianwen Gan, Yan Chen, Peng Zhou, Liang Du
2024 J jnl
Fair Feature Selection: A Causal Perspective.
ACM Trans. Knowl. Discov. Data
Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu
2024 A* conf
Fair Kernel K-Means: from Single Kernel to Multiple Kernel.
NeurIPS
Peng Zhou, Rongwen Li, Liang Du
2024 J jnl
Fast Asymmetric Factorization for Large Scale Multiple Kernel Clustering.
CoRR
Yan Chen, Liang Du, Lei Duan
2024 A* conf
Fast and Scalable Incomplete Multi-View Clustering with Duality Optimal Graph Filtering.
ACM Multimedia
Liang Du, Yukai Shi, Yan Chen, Peng Zhou, Yuhua Qian
2024 J jnl
Heat Kernel Diffusion for Enhanced Late Fusion Multi-View Clustering.
IEEE Signal Process. Lett.
Gui Yang, Jiale Zou, Yan Chen, Liang Du, Peng Zhou
2024 Misc conf
Higher Order Multiple Graph Filtering for Structured Graph Learning.
ICASSP
Liang Du, Xiaodong Li, Yan Chen, Gui Yang, Mian Ilyas Ahmad, Peng Zhou
2024 Misc conf
K-Means Clustering Based on Chebyshev Polynomial Graph Filtering.
ICASSP
Liang Du, Yunhui Liang, Mian Ilyas Ahmad, Peng Zhou
2024 J jnl
Multi-view Outlier Detection via Graphs Denoising.
Inf. Fusion
Boao Hu, Xu Wang, Peng Zhou, Liang Du
2024 J jnl
Multiple Kernel Clustering via Local Regression Integration.
CoRR
Liang Du, Xin Ren, Haiying Zhang, Peng Zhou
2024 J jnl
Multiple kernel clustering with local kernel reconstruction and global heat diffusion.
Inf. Fusion
Yan Chen, Liang Du, Peng Zhou, Lei Duan, Yuhua Qian
2024 J jnl
Multiple kernel concept factorization algorithm based on global fusion.
CoRR
Fei Li, Liang Du, Chaohong Ren
2024 A* conf
One-Stage Fair Multi-View Spectral Clustering.
ACM Multimedia
Rongwen Li, Haiyang Hu, Liang Du, Jiarong Chen, Bingbing Jiang, Peng Zhou
2024 J jnl
Partial Clustering Ensemble.
IEEE Trans. Knowl. Data Eng.
Peng Zhou, Liang Du, Xinwang Liu, Zhaolong Ling, Xia Ji, Xuejun Li, Yi-Dong Shen
2024 J jnl
Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion.
CoRR
Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian
2024 J jnl
Symmetry Nonnegative Matrix Factorization Algorithm Based on Self-paced Learning.
CoRR
Lei Wang, Liang Du, Peng Zhou, Peng Wu
2024 J jnl
Unsupervised Feature Selection Algorithm Based on Dual Manifold Re-ranking.
CoRR
Yunhui Liang, Jianwen Gan, Yan Chen, Peng Zhou, Liang Du
2024 J jnl
Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation.
CoRR
Yunhui Liang, Jianwen Gan, Yan Chen, Peng Zhou, Liang Du
2024 J jnl
Unsupervised feature selection algorithm framework based on neighborhood interval disturbance fusion.
CoRR
Xiaolin Lv, Liang Du, Peng Zhou, Peng Wu
2024 J jnl
k-HyperEdge Medoids for Clustering Ensemble.
CoRR
Feijiang Li, Jieting Wang, Liuya Zhang, Yuhua Qian, Shuai Jin, Tao Yan, Liang Du
2023 J jnl
Adaptive Consensus Clustering for Multiple K-Means Via Base Results Refining.
IEEE Trans. Knowl. Data Eng.
Peng Zhou, Liang Du, Xuejun Li
2023 J jnl
Balanced Spectral Feature Selection.
IEEE Trans. Cybern.
Peng Zhou, Jiangyong Chen, Liang Du, Xuejun Li
2023 J jnl
Bi-level ensemble method for unsupervised feature selection.
Inf. Fusion
Peng Zhou, Xia Wang, Liang Du
2023 A* conf
Learnable Graph Filter for Multi-view Clustering.
ACM Multimedia
Peng Zhou, Liang Du
2023 J jnl
Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering.
ACM Trans. Knowl. Discov. Data
Peng Zhou, Xinwang Liu, Liang Du, Xuejun Li
2022 — conf
A Trace Ratio Maximization Method for Parameter Free Multiple Kernel Clustering.
DASFAA (2)
Yan Chen, Lei Wang, Liang Du, Lei Duan
2022 J jnl
Active deep image clustering.
Knowl. Based Syst.
Bicheng Sun, Peng Zhou, Liang Du, Xuejun Li
2022 J jnl
Clustering ensemble via structured hypergraph learning.
Inf. Fusion
Peng Zhou, Xia Wang, Liang Du, Xuejun Li
2021 — conf
Direct Alignment Maximization for Clustering Ensemble.
ICMLSC
Liang Du, Kang Yang, Yunhui Liang, Xiaolin Lv
2021 — conf
Graph-based Kullback-Leibler Divergence Minimization for Unsupervised Feature Selection.
ICMLSC
Xiaolin Lv, Liang Du
2021 J jnl
Self-Paced Clustering Ensemble.
IEEE Trans. Neural Networks Learn. Syst.
Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li
2021 A* conf
Tri-level Robust Clustering Ensemble with Multiple Graph Learning.
AAAI
Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li
2020 J jnl
Discriminative Multiple Kernel Concept Factorization for Data Representation.
IEEE Access
Lin Mu, Haiying Zhang, Liang Du, Jie Gui, Aidan Li, Xi Zhang
2020 J jnl
Local Sensitive Dual Concept Factorization for Unsupervised Feature Selection.
IEEE Access
Hua Zhao, Liang Du, Jianglai Wei, Yalong Fan
2020 — conf
Manifold Adaptive Multiple Kernel K-Means for Clustering.
ACAI
Liang Du, Haiying Zhang, Xin Ren, Xiaolin Lv
2020 J jnl
Manifold Adaptive Multiple Kernel K-Means for Clustering.
CoRR
Liang Du, Haiying Zhang, Xin Ren, Xiaolin Lv
2020 A* conf
Self-paced Consensus Clustering with Bipartite Graph.
IJCAI
Peng Zhou, Liang Du, Xuejun Li
2020 J jnl
Unsupervised Dual Learning for Feature and Instance Selection.
IEEE Access
Liang Du, Xin Ren, Peng Zhou, Zhiguo Hu
2020 J jnl
Unsupervised feature selection for balanced clustering.
Knowl. Based Syst.
Peng Zhou, Jiangyong Chen, Mingyu Fan, Liang Du, Yi-Dong Shen, Xuejun Li
2020 J jnl
Unsupervised feature selection with adaptive multiple graph learning.
Pattern Recognit.
Peng Zhou, Liang Du, Xuejun Li, Yi-Dong Shen, Yuhua Qian
2019 — conf
Consensus Graph Weighting via Trace Ratio Criterion for Multi-view Unsupervised Feature Selection.
ICDM Workshops
Liang Du, Xiaolin Lv
2019 A conf
Incremental Multi-view Support Vector Machine.
SDM
Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye
2019 J jnl
Incremental multi-view spectral clustering.
Knowl. Based Syst.
Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye, Xuejun Li
2019 J jnl
Local Graph Reconstruction for Parameter Free Unsupervised Feature Selection.
IEEE Access
Liang Du, Chaohong Ren, Xiaolin Lv, Yan Chen, Peng Zhou, Zhiguo Hu
2019 J jnl
Unsupervised Robust Multiple Kernel Learning via Extracting Local and Global Noises.
IEEE Access
Peng Zhou, Fan Ye, Liang Du
2018 J jnl
Semi-Supervised Learning Through Label Propagation on Geodesics.
IEEE Trans. Cybern.
Mingyu Fan, Xiaoqin Zhang, Liang Du, Liang Chen, Dacheng Tao
2017 A* conf
Top-k Supervise Feature Selection via ADMM for Integer Programming.
IJCAI
Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du
2015 A conf
An LLE based Heterogeneous Metric Learning for Cross-media Retrieval.
SDM
Peng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen
2015 A* conf
Convex Batch Mode Active Sampling via α-Relative Pearson Divergence.
AAAI
Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen
2015 J jnl
Efficient sequential feature selection based on adaptive eigenspace model.
Neurocomputing
Nannan Gu, Mingyu Fan, Liang Du, Dongchun Ren
2015 A* conf
Experimental Design with Multiple Kernels.
ICDM
Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yuhua Qian, Yi-Dong Shen
2015 A* conf
Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization.
IJCAI
Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen
2015 A* conf
Recovery of Corrupted Multiple Kernels for Clustering.
IJCAI
Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen
2015 A* conf
Robust Multiple Kernel K-means Using L21-Norm.
IJCAI
Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen
2015 A* conf
Unsupervised Feature Selection with Adaptive Structure Learning.
KDD
Liang Du, Yi-Dong Shen
2015 J jnl
Unsupervised Feature Selection with Adaptive Structure Learning.
CoRR
Liang Du, Yi-Dong Shen
2014 A* conf
Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval.
ICDM
Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong
2014 J jnl
Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval.
CoRR
Liang Wu, Hui Xiong, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li
2014 A* conf
Robust Spectral Learning for Unsupervised Feature Selection.
ICDM
Lei Shi, Liang Du, Yi-Dong Shen
2013 — conf
A Self-Supervised Framework for Clustering Ensemble.
WAIM
Liang Du, Yi-Dong Shen, Zhiyong Shen, Jianying Wang, Zhiwu Xu
2013 — conf
Heterogeneous Metric Learning for Cross-Modal Multimedia Retrieval.
WISE (1)
Jun Deng, Liang Du, Yi-Dong Shen
2013 — conf
Joint Clustering and Feature Selection.
WAIM
Liang Du, Yi-Dong Shen
2013 A* conf
Local and Global Discriminative Learning for Unsupervised Feature Selection.
ICDM
Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou, Yi-Dong Shen
2013 A* conf
Towards Robust Co-Clustering.
IJCAI
Liang Du, Yi-Dong Shen
2013 J jnl
Update Summarization via Graph-Based Sentence Ranking.
IEEE Trans. Knowl. Data Eng.
Xuan Li, Liang Du, Yi-Dong Shen
2013 — conf
Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers.
DASFAA (2)
Liang Wu, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng, Yonggang Guo, Yuanchun Zhou
2012 A* conf
Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization.
ICDM
Liang Du, Xuan Li, Yi-Dong Shen
2011 — conf
Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization.
ADMA (1)
Liang Du, Xuan Li, Yi-Dong Shen
2011 A conf
Graph-Based Marginal Ranking for Update Summarization.
SDM
Xuan Li, Liang Du, Yi-Dong Shen
2011 — conf
User Graph Regularized Pairwise Matrix Factorization for Item Recommendation.
ADMA (2)
Liang Du, Xuan Li, Yi-Dong Shen
2010 A conf
Exploiting novelty, coverage and balance for topic-focused multi-document summarization.
CIKM
Xuan Li, Yi-Dong Shen, Liang Du, Chen-Yan Xiong
2010 A* conf
Interval-valued Matrix Factorization with Applications.
ICDM
Zhiyong Shen, Liang Du, Xukun Shen, Yi-Dong Shen