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• 2026
• 
  [j128]
  Yuxuan Liu,Qin Li,Guangyu Yang,Quanxue Gao,Yu Duan,Cheng Deng:
  Probabilistic regression-based multi-view clustering with anchor graphs.Neurocomputing671:132679 (2026)
• 
  [j127]
  Yuxuan Liu,Yichen Bao,Han Lu,Quanxue Gao:
  Fuzzy K-means clustering without cluster centroids.Signal Process.241:110406 (2026)
• 2025
• 
  [j126]
  Jin Chen,Guangyu Yang,Jingjing Xue,Quanxue Gao,Cheng Deng:
  Fast discrete multi-view collaborative clustering induced by label propagation.Expert Syst. Appl.290:128413 (2025)
• 
  [j125]
  Yu Lei,Ran Jing,Fangfang Li,Quanxue Gao,Cheng Deng:
  A transformer-based dual contrastive learning approach for zero-shot learning.Neurocomputing626:129530 (2025)
• 
  [j124]
  Wenhui Zhao,Sen Wang,Guangfei Li,Quanxue Gao,Cheng Deng:
  One-step multi-view clustering via label transmission and fusion.Neurocomputing639:130233 (2025)
• 
  [j123]
  Jin Chen,Huafu Xu,Jingjing Xue,Quanxue Gao,Cheng Deng,Ziyu Lv:
  Incomplete multi-view clustering based on hypergraph.Inf. Fusion117:102804 (2025)
• 
  [j122]
  Shikun Mei,Qianqian Wang,Quanxue Gao,Ming Yang:
  Multi-view clustering based on feature selection and semi-non-negative anchor graph factorization.Neural Networks184:107111 (2025)
• 
  [j121]
  Quanxue Gao,Fangfang Li,Qianqian Wang,Xinbo Gao,Dacheng Tao:
  Manifold Based Multi-View K-Means.IEEE Trans. Pattern Anal. Mach. Intell.47(4):3175-3182 (2025)
• 
  [j120]
  Fangfang Li,Quanxue Gao,Xiaoke Ma,Ming Yang,Cheng Deng:
  Self-Supervised Graph Embedding Clustering.IEEE Trans. Pattern Anal. Mach. Intell.47(12):11662-11673 (2025)
• 
  [j119]
  Bin Meng,Fangfang Li,Fan Yang,Quanxue Gao:
  Centroid-Free K-Means With Balanced Clustering.IEEE Signal Process. Lett.32:1191-1195 (2025)
• 
  [j118]
  Rui Wang,Quanxue Gao,Ming Yang,Qianqian Wang:
  Tensorized Tri-Factor Decomposition for Multi-View Clustering.IEEE Trans. Circuits Syst. Video Technol.35(6):5355-5366 (2025)
• 
  [j117]
  Xingyu Xue,Wenhui Zhao,Quanxue Gao,Ming Yang,Cheng Deng:
  Image Clustering With Transition Probabilities Learning.IEEE Trans. Image Process.34:1441-1453 (2025)
• 
  [j116]
  Fangfang Li,Quanxue Gao,Qianqian Wang,Ming Yang,Cheng Deng:
  Tensorized Soft Label Learning Based on Orthogonal NMF.IEEE Trans. Neural Networks Learn. Syst.36(7):13219-13231 (2025)
• 
  [c48]
  Qianqian Wang,Haiming Xu,Zihao Zhang,Wei Feng,Quanxue Gao:
  Deep Multi-modal Graph Clustering via Graph Transformer Network.AAAI2025:7835-7843
• 
  [c47]
  Qianqian Wang,Zihao Zhang,Wei Feng,Zhiqiang Tao,Quanxue Gao:
  Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder.AAAI2025:21207-21215
• 
  [c46]
  Xingyu Xue,Jingjing Xue,Quanxue Gao,Qianqian Wang:
  Tensorized Label Learning Based Fast Fuzzy Clustering.AAAI2025:21868-21876
• 
  [c45]
  Haiming Xu,Qianqian Wang,Boyue Wang,Quanxue Gao:
  Deep Fair Multi-View Clustering with Attention KAN.CVPR2025:5061-5070
• 
  [c44]
  Bowen Zhao,Qianqian Wang,Zhengming Ding,Quanxue Gao:
  Attribute-Missing Multi-view Graph Clustering.CVPR2025:25832-25841
• 
  [c43]
  Qianqian Wang,Mengping Jiang,Zhengming Ding,Quanxue Gao:
  Unified K-Means Clustering with Label-Guided Manifold Learning.ICML2025
• 
  [c42]
  Qianqian Wang,Bowen Zhao,Zhengming Ding,Xiangdong Zhang,Quanxue Gao:
  A Simple yet Effective Hypergraph Clustering Network.IJCAI2025:6352-6360
• 
  [c41]
  Qianqian Wang,Haiming Xu,Zihao Zhang,Zhiqiang Tao,Quanxue Gao:
  Efficient Multi-view Clustering via Reinforcement Contrastive Learning.IJCAI2025:6361-6369
• 
  [c40]
  Yichen Bao,Yuxuan Liu,Yu Duan,Jing Li,Quanxue Gao:
  Multi-view Clustering Based on Probabilistic Tensor Regression.ACM Multimedia2025:2169-2177
• 
  [c39]
  Rui Wang,Yuxuan Liu,Guangyu Yang,Quanxue Gao,Cheng Deng:
  Bi-Orthogonal Non-negative Tensor tri-Factorization for Tensorized Label Learning.ACM Multimedia2025:2304-2312
• 
  [c38]
  Guangfei Li,Quanxue Gao,Yu Lei,Yichen Bao,Qianqian Wang:
  Multi-view Collaborative Representation Learning from Noisy Labels for VHR Imagery Classification.ACM Multimedia2025:8997-9005
• 
  [i13]
  Fangfang Li,Quanxue Gao:
  Manifold Clustering with Schatten p-norm Maximization.CoRRabs/2504.20390 (2025)
• 2024
• 
  [j115]
  Zihao Zhang,Qianqian Wang,Chengquan Pei,Quanxue Gao:
  Deep cross-modal subspace clustering with Contrastive Neighbour Embedding.Neurocomputing576:127318 (2024)
• 
  [j114]
  Yang Lu,Qin Li,Xiangdong Zhang,Quanxue Gao:
  Deep contrastive representation learning for multi-modal clustering.Neurocomputing581:127523 (2024)
• 
  [j113]
  Yu Lei,Zuoyuan Niu,Qianqian Wang,Quanxue Gao,Ming Yang:
  Anchor graph-based multiview spectral clustering.Neurocomputing583:127579 (2024)
• 
  [j112]
  Yichen Bao,Wenhui Zhao,Qin Zhao,Quanxue Gao,Ming Yang:
  Dual contrastive learning for multi-view clustering.Neurocomputing599:128093 (2024)
• 
  [j111]
  Wenming Wu,Xiaoke Ma,Quan Wang,Maoguo Gong,Quanxue Gao:
  Learning deep representation and discriminative features for clustering of multi-layer networks.Neural Networks170:405-416 (2024)
• 
  [j110]
  De-Yan Xie,Quanxue Gao,Yougang Zhao,Fan Yang,Wei Song:
  Consistent graph learning for multi-view spectral clustering.Pattern Recognit.154:110598 (2024)
• 
  [j109]
  De-Yan Xie,Ming Yang,Quanxue Gao,Wei Song:
  Non-convex tensorial multi-view clustering by integrating ℓ1-based sliced-Laplacian regularization and ℓ2,p-sparsity.Pattern Recognit.154:110605 (2024)
• 
  [j108]
  Zihao Zhang,Qianqian Wang,Quanxue Gao,Chengquan Pei,Wei Feng:
  Unsupervised Cross-View Subspace Clustering via Adaptive Contrastive Learning.IEEE Trans. Big Data10(5):609-619 (2024)
• 
  [j107]
  Guangfei Li,Quanxue Gao,Jungong Han,Xinbo Gao:
  A Coarse-to-Fine Cell Division Approach for Hyperspectral Remote Sensing Image Classification.IEEE Trans. Circuits Syst. Video Technol.34(6):4928-4941 (2024)
• 
  [j106]
  Guangfei Li,Wenbing Liu,Quanxue Gao,Qianqian Wang,Jungong Han,Xinbo Gao:
  Self-Supervised Edge Perceptual Learning Framework for High-Resolution Remote Sensing Images Classification.IEEE Trans. Circuits Syst. Video Technol.34(7):6024-6038 (2024)
• 
  [j105]
  Han Lu,Huafu Xu,Qianqian Wang,Quanxue Gao,Ming Yang,Xinbo Gao:
  Efficient Multi-View -Means for Image Clustering.IEEE Trans. Image Process.33:273-284 (2024)
• 
  [j104]
  Qian Zhou,Qianqian Wang,Quanxue Gao,Ming Yang,Xinbo Gao:
  Unsupervised Discriminative Feature Selection via Contrastive Graph Learning.IEEE Trans. Image Process.33:972-986 (2024)
• 
  [j103]
  Jing Li,Qianqian Wang,Ming Yang,Quanxue Gao,Xinbo Gao:
  Efficient Anchor Graph Factorization for Multi-View Clustering.IEEE Trans. Multim.26:5834-5845 (2024)
• 
  [j102]
  Wenhui Zhao,Qin Li,Huafu Xu,Quanxue Gao,Qianqian Wang,Xinbo Gao:
  Anchor Graph-Based Feature Selection for One-Step Multi-View Clustering.IEEE Trans. Multim.26:7413-7425 (2024)
• 
  [j101]
  Qianqian Wang,Zhiqiang Tao,Quanxue Gao,Licheng Jiao:
  Multi-View Subspace Clustering via Structured Multi-Pathway Network.IEEE Trans. Neural Networks Learn. Syst.35(5):7244-7250 (2024)
• 
  [c37]
  Wei Feng,Guoshuai Sheng,Qianqian Wang,Quanxue Gao,Zhiqiang Tao,Bo Dong:
  Partial Multi-View Clustering via Self-Supervised Network.AAAI2024:11988-11995
• 
  [c36]
  Jing Li,Quanxue Gao,Qianqian Wang,Wei Xia:
  Tensorized Label Learning on Anchor Graph.AAAI2024:13537-13544
• 
  [c35]
  Wenhui Zhao,Guangfei Li,Haizhou Yang,Quanxue Gao,Qianqian Wang:
  Embedded Feature Selection on Graph-Based Multi-View Clustering.AAAI2024:17016-17023
• 
  [c34]
  Wei Feng,Zhenwei Wu,Qianqian Wang,Bo Dong,Zhiqiang Tao,Quanxue Gao:
  Federated Multi-View Clustering via Tensor Factorization.IJCAI2024:3962-3970
• 
  [c33]
  Wei Feng,Zhenwei Wu,Qianqian Wang,Bo Dong,Zhiqiang Tao,Quanxue Gao:
  Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means.IJCAI2024:3971-3979
• 
  [c32]
  Qianqian Wang,Meiling Liu,Wei Feng,Mengping Jiang,Haiming Xu,Quanxue Gao:
  Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning.IJCAI2024:5091-5098
• 
  [c31]
  Jing Li,Quanxue Gao,Qianqian Wang,Cheng Deng,De-Yan Xie:
  Label Learning Method Based on Tensor Projection.KDD2024:1599-1609
• 
  [c30]
  Wei Feng,Dongyuan Wei,Qianqian Wang,Bo Dong,Quanxue Gao:
  Multi-View Clustering Based on Deep Non-negative Tensor Factorization.ACM Multimedia2024:1130-1138
• 
  [c29]
  Bowen Zhao,Qianqian Wang,Zhiqiang Tao,Wei Feng,Quanxue Gao:
  DFMVC: Deep Fair Multi-view Clustering.ACM Multimedia2024:8090-8099
• 
  [c28]
  Wei Feng,Zhenwei Wu,Qianqian Wang,Bo Dong,Quanxue Gao:
  Federated Fuzzy C-means with Schatten-p Norm Minimization.ACM Multimedia2024:9407-9416
• 
  [i12]
  Jing Li,Quanxue Gao,Qianqian Wang,Cheng Deng,De-Yan Xie:
  Label Learning Method Based on Tensor Projection.CoRRabs/2402.16544 (2024)
• 
  [i11]
  Wenhui Zhao,Quanxue Gao,Guangfei Li,Cheng Deng,Ming Yang:
  One-Step Multi-View Clustering Based on Transition Probability.CoRRabs/2403.01460 (2024)
• 
  [i10]
  Jing Li,Quanxue Gao,Cheng Deng,Qianqian Wang,Ming Yang:
  Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization.CoRRabs/2404.00883 (2024)
• 
  [i9]
  Han Lu,Fangfang Li,Quanxue Gao,Cheng Deng,Chris Ding,Qianqian Wang:
  Fuzzy K-Means Clustering without Cluster Centroids.CoRRabs/2404.04940 (2024)
• 
  [i8]
  Yu Lei,Guoshuai Sheng,Fangfang Li,Quanxue Gao,Cheng Deng,Qin Li:
  High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning.CoRRabs/2404.04953 (2024)
• 
  [i7]
  Fangfang Li,Quanxue Gao,Ming Yang,Cheng Deng,Wei Xia:
  Self-Supervised Graph Embedding Clustering.CoRRabs/2409.15887 (2024)
• 2023
• 
  [j100]
  Wenbing Liu,Haibo Wang,Quanxue Gao,Zhaorui Zhu:
  Multi-modal object detection via transformer network.IET Image Process.17(12):3541-3550 (2023)
• 
  [j99]
  De-Yan Xie,Quanxue Gao,Ming Yang:
  Enhanced tensor low-rank representation learning for multi-view clustering.Neural Networks161:93-104 (2023)
• 
  [j98]
  Shikun Mei,Wenhui Zhao,Quanxue Gao,Ming Yang,Xinbo Gao:
  Joint feature selection and optimal bipartite graph learning for subspace clustering.Neural Networks164:408-418 (2023)
• 
  [j97]
  Yu Yun,Jing Li,Quanxue Gao,Ming Yang,Xinbo Gao:
  Low-rank discrete multi-view spectral clustering.Neural Networks166:137-147 (2023)
• 
  [j96]
  Guangfei Li,Quanxue Gao,Ming Yang,Xinbo Gao:
  Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification.Neural Networks167:22-35 (2023)
• 
  [j95]
  Wenhui Zhao,Quanxue Gao,Shikun Mei,Ming Yang:
  Contrastive self-representation learning for data clustering.Neural Networks167:648-655 (2023)
• 
  [j94]
  Qian Zhou,Quanxue Gao,Qianqian Wang,Ming Yang,Xinbo Gao:
  Sparse discriminant PCA based on contrastive learning and class-specificity distribution.Neural Networks167:775-786 (2023)
• 
  [j93]
  Wei Xia,Quanxue Gao,Qianqian Wang,Xinbo Gao,Chris Ding,Dacheng Tao:
  Tensorized Bipartite Graph Learning for Multi-View Clustering.IEEE Trans. Pattern Anal. Mach. Intell.45(4):5187-5202 (2023)
• 
  [j92]
  Wei Xia,Tianxiu Wang,Quanxue Gao,Ming Yang,Xinbo Gao:
  Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering.IEEE Trans. Image Process.32:1170-1183 (2023)
• 
  [j91]
  Xiaochuang Shu,Xiangdong Zhang,Quanxue Gao,Ming Yang,Rong Wang,Xinbo Gao:
  Self-Weighted Anchor Graph Learning for Multi-View Clustering.IEEE Trans. Multim.25:5485-5499 (2023)
• 
  [j90]
  Wei Xia,Qianqian Wang,Quanxue Gao,Ming Yang,Xinbo Gao:
  Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt.IEEE Trans. Multim.25:6665-6677 (2023)
• 
  [j89]
  Qianqian Wang,Zhiqiang Tao,Wei Xia,Quanxue Gao,Xiaochun Cao,Licheng Jiao:
  Adversarial Multiview Clustering Networks With Adaptive Fusion.IEEE Trans. Neural Networks Learn. Syst.34(10):7635-7647 (2023)
• 
  [c27]
  Han Lu,Quanxue Gao,Qianqian Wang,Ming Yang,Wei Xia:
  Centerless Multi-View K-means Based on the Adjacency Matrix.AAAI2023:8949-8956
• 
  [c26]
  Meiling Liu,Wei Feng,Chengquan Pei,Qianqian Wang,Quanxue Gao:
  Capped L2p-Norm Based 2DPCA with Adaptive Capped Threshold Learning for Image Processing.ICCT2023:665-672
• 
  [c25]
  Zihao Zhang,Qianqian Wang,Zhiqiang Tao,Quanxue Gao,Wei Feng:
  Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks.ACM Multimedia2023:3259-3267
• 
  [c24]
  Jing Li,Quanxue Gao,Qianqian Wang,Ming Yang,Wei Xia:
  Orthogonal Non-negative Tensor Factorization based Multi-view Clustering.NeurIPS2023
• 
  [i6]
  Jing Li,Quanxue Gao,Qianqian Wang,Wei Xia,Xinbo Gao:
  Multi-View Clustering via Semi-non-negative Tensor Factorization.CoRRabs/2303.16748 (2023)
• 
  [i5]
  Quanxue Gao,Qianqian Wang,Han Lu,Wei Xia,Xinbo Gao:
  Rethinking k-means from manifold learning perspective.CoRRabs/2305.07213 (2023)
• 2022
• 
  [j88]
  Yujiao Zhao,Yu Yun,Xiangdong Zhang,Qin Li,Quanxue Gao:
  Multi-view Spectral Clustering with Adaptive Graph Learning and Tensor Schattenp-norm.Neurocomputing468:257-264 (2022)
• 
  [j87]
  Han Lu,Quanxue Gao,Xiangdong Zhang,Wei Xia:
  A multi-view clustering framework via integratingK-means and graph-cut.Neurocomputing501:609-617 (2022)
• 
  [j86]
  Qian Zhou,Haizhou Yang,Quanxue Gao:
  Low-rank constraint bipartite graph learning.Neurocomputing511:426-436 (2022)
• 
  [j85]
  Guoshuai Sheng,Qianqian Wang,Chengquan Pei,Quanxue Gao:
  Contrastive deep embedded clustering.Neurocomputing514:13-20 (2022)
• 
  [j84]
  Wei Xia,Sen Wang,Ming Yang,Quanxue Gao,Jungong Han,Xinbo Gao:
  Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation.Neural Networks145:1-9 (2022)
• 
  [j83]
  Yu Yun,Sen Wang,Mingzhen Hou,Quanxue Gao:
  Attributes learning network for generalized zero-shot learning.Neural Networks150:112-118 (2022)
• 
  [j82]
  Tianyu Jiang,Quanxue Gao:
  Fast multiple graphs learning for multi-view clustering.Neural Networks155:348-359 (2022)
• 
  [j81]
  Qin Li,Huihui He,Hong Lai,Tie Cai,Qianqian Wang,Quanxue Gao:
  Enhanced nuclear norm based matrix regression for occluded face recognition.Pattern Recognit.126:108585 (2022)
• 
  [j80]
  Zhaorui Zhu,Quanxue Gao:
  Semi-Supervised Clustering via Cannot Link Relationship for Multiview Data.IEEE Trans. Circuits Syst. Video Technol.32(12):8744-8755 (2022)
• 
  [j79]
  Wei Xia,Xiangdong Zhang,Quanxue Gao,Xiaochuang Shu,Jungong Han,Xinbo Gao:
  Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm.IEEE Trans. Cybern.52(9):8962-8975 (2022)
• 
  [j78]
  Wei Xia,Quanxue Gao,Qianqian Wang,Xinbo Gao:
  Tensor Completion-Based Incomplete Multiview Clustering.IEEE Trans. Cybern.52(12):13635-13644 (2022)
• 
  [j77]
  Haizhou Yang,Quanxue Gao,Wei Xia,Ming Yang,Xinbo Gao:
  Multiview Spectral Clustering With Bipartite Graph.IEEE Trans. Image Process.31:3591-3605 (2022)
• 
  [j76]
  Ziyu Lv,Quanxue Gao,Xiangdong Zhang,Qin Li,Ming Yang:
  View-Consistency Learning for Incomplete Multiview Clustering.IEEE Trans. Image Process.31:4790-4802 (2022)
• 
  [j75]
  Wei Xia,Qianqian Wang,Quanxue Gao,Xiangdong Zhang,Xinbo Gao:
  Self-Supervised Graph Convolutional Network for Multi-View Clustering.IEEE Trans. Multim.24:3182-3192 (2022)
• 
  [j74]
  Siyang Deng,Gang Xiang,Quanxue Gao,Wei Xia,Xinbo Gao:
  Zero-Shot Learning Based on Quality-Verifying Adversarial Network.IEEE Trans. Multim.24:4526-4537 (2022)
• 2021
• 
  [j73]
  Yu Yun,Wei Xia,Yongqing Zhang,Quanxue Gao,Xinbo Gao:
  Self-representation and Class-Specificity Distribution Based Multi-View Clustering.Neurocomputing437:9-20 (2021)
• 
  [j72]
  Shiwen Kou,Wei Xia,Xiangdong Zhang,Quanxue Gao,Xinbo Gao:
  Self-supervised graph convolutional clustering by preserving latent distribution.Neurocomputing437:218-226 (2021)
• 
  [j71]
  Wei Xia,Quanxue Gao,Qianqian Wang,Xinbo Gao:
  Regression-based clustering network via combining prior information.Neurocomputing448:324-332 (2021)
• 
  [j70]
  Wei Xia,Xiangdong Zhang,Quanxue Gao,Xinbo Gao:
  Adversarial self-supervised clustering with cluster-specificity distribution.Neurocomputing449:38-47 (2021)
• 
  [j69]
  Ying Dou,Yu Yun,Quanxue Gao,Xiangdong Zhang:
  Self-representation and matrix factorization based multi-view clustering.Neurocomputing459:395-407 (2021)
• 
  [j68]
  Zhizhen Wan,Huiling Xu,Quanxue Gao:
  Multi-view clustering by joint spectral embedding and spectral rotation.Neurocomputing462:123-131 (2021)
• 
  [j67]
  De-Yan Xie,Quanxue Gao,Siyang Deng,Xiaojun Yang,Xinbo Gao:
  Multiple graphs learning with a new weighted tensor nuclear norm.Neural Networks133:57-68 (2021)
• 
  [j66]
  Huiling Xu,Wei Xia,Quanxue Gao,Jungong Han,Xinbo Gao:
  Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution.Neural Networks142:221-230 (2021)
• 
  [j65]
  Quanxue Gao,Pu Zhang,Wei Xia,De-Yan Xie,Xinbo Gao,Dacheng Tao:
  Enhanced Tensor RPCA and its Application.IEEE Trans. Pattern Anal. Mach. Intell.43(6):2133-2140 (2021)
• 
  [j64]
  Siyang Deng,Wei Xia,Quanxue Gao,Xinbo Gao:
  Cross-view classification by joint adversarial learning and class-specificity distribution.Pattern Recognit.110:107633 (2021)
• 
  [j63]
  Yang Liu,Xinbo Gao,Quanxue Gao,Jungong Han,Ling Shao:
  Relation-based Discriminative Cooperation Network for Zero-Shot Classification.Pattern Recognit.118:108024 (2021)
• 
  [j62]
  Xinan Hou,Quanxue Gao,Rong Wang,Xin Luo:
  Satellite-Borne Optical Remote Sensing Image Registration Based on Point Features.Sensors21(8):2695 (2021)
• 
  [j61]
  Qianqian Wang,Huanhuan Lian,Gan Sun,Quanxue Gao,Licheng Jiao:
  iCmSC: Incomplete Cross-Modal Subspace Clustering.IEEE Trans. Image Process.30:305-317 (2021)
• 
  [j60]
  Qianqian Wang,Zhengming Ding,Zhiqiang Tao,Quanxue Gao,Yun Fu:
  Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency.IEEE Trans. Image Process.30:1771-1783 (2021)
• 
  [j59]
  Qianqian Wang,Quanxue Gao,Linlu Wu,Gan Sun,Licheng Jiao:
  Adversarial Multi-Path Residual Network for Image Super-Resolution.IEEE Trans. Image Process.30:6648-6658 (2021)
• 
  [j58]
  Qianqian Wang,Jiafeng Cheng,Quanxue Gao,Guoshuai Zhao,Licheng Jiao:
  Deep Multi-View Subspace Clustering With Unified and Discriminative Learning.IEEE Trans. Multim.23:3483-3493 (2021)
• 
  [c23]
  Qianqian Wang,Wei Xia,Zhiqiang Tao,Quanxue Gao,Xiaochun Cao:
  Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering.ACM Multimedia2021:1748-1755
• 
  [i4]
  Tianyu Jiang,Quanxue Gao:
  Multiple Graph Learning for Scalable Multi-view Clustering.CoRRabs/2106.15382 (2021)
• 
  [i3]
  Quanxue Gao,Wei Xia,Xinbo Gao,Dacheng Tao:
  Effective and Efficient Graph Learning for Multi-view Clustering.CoRRabs/2108.06734 (2021)
• 
  [i2]
  Wei Xia,Quanxue Gao,Ming Yang,Xinbo Gao:
  Self-supervised Contrastive Attributed Graph Clustering.CoRRabs/2110.08264 (2021)
• 2020
• 
  [j57]
  De-Yan Xie,Feiping Nie,Quanxue Gao,Song Xiao:
  Fast algorithm for large-scale subspace clustering by LRR.IET Image Process.14(8):1475-1480 (2020)
• 
  [j56]
  De-Yan Xie,Wei Xia,Qianqian Wang,Quanxue Gao,Song Xiao:
  Multi-view clustering by joint manifold learning and tensor nuclear norm.Neurocomputing380:105-114 (2020)
• 
  [j55]
  Qianqian Wang,Quanxue Gao,Gan Sun,Chris Ding:
  Double robust principal component analysis.Neurocomputing391:119-128 (2020)
• 
  [j54]
  Mingzhen Hou,Wei Xia,Xiangdong Zhang,Quanxue Gao:
  Discriminative comparison classifier for generalized zero-shot learning.Neurocomputing414:10-17 (2020)
• 
  [j53]
  De-Yan Xie,Feiping Nie,Quanxue Gao:
  On the optimal solution to maximum margin projection pursuit.Multim. Tools Appl.79(47):35441-35461 (2020)
• 
  [j52]
  Yang Liu,Xinbo Gao,Quanxue Gao,Jungong Han,Ling Shao:
  Label-activating framework for zero-shot learning.Neural Networks121:1-9 (2020)
• 
  [j51]
  De-Yan Xie,Quanxue Gao,Qianqian Wang,Xiangdong Zhang,Xinbo Gao:
  Adaptive latent similarity learning for multi-view clustering.Neural Networks121:409-418 (2020)
• 
  [j50]
  Quanxue Gao,Zhizhen Wan,Ying Liang,Qianqian Wang,Yang Liu,Ling Shao:
  Multi-view projected clustering with graph learning.Neural Networks126:335-346 (2020)
• 
  [j49]
  Huiling Xu,Xiangdong Zhang,Wei Xia,Quanxue Gao,Xinbo Gao:
  Low-rank tensor constrained co-regularized multi-view spectral clustering.Neural Networks132:245-252 (2020)
• 
  [j48]
  De-Yan Xie,Xiangdong Zhang,Quanxue Gao,Jiale Han,Song Xiao,Xinbo Gao:
  Multiview Clustering by Joint Latent Representation and Similarity Learning.IEEE Trans. Cybern.50(11):4848-4854 (2020)
• 
  [c22]
  Quanxue Gao,Wei Xia,Zhizhen Wan,De-Yan Xie,Pu Zhang:
  Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering.AAAI2020:3930-3937
• 
  [c21]
  Quanxue Gao,Huanhuan Lian,Qianqian Wang,Gan Sun:
  Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis.AAAI2020:3938-3945
• 
  [c20]
  Jiafeng Cheng,Qianqian Wang,Zhiqiang Tao,De-Yan Xie,Quanxue Gao:
  Multi-View Attribute Graph Convolution Networks for Clustering.IJCAI2020:2973-2979
• 
  [i1]
  Qianqian Wang,Zhengming Ding,Zhiqiang Tao,Quanxue Gao,Yun Fu:
  Generative Partial Multi-View Clustering.CoRRabs/2003.13088 (2020)

• 2019
• 
  [j47]
  Qin Li,Yang Liu,Shujian Wang,Quanxue Gao,Xinbo Gao:
  Image Classification Using Low-Rank Regularized Extreme Learning Machine.IEEE Access7:877-883 (2019)
• 
  [j46]
  De-Yan Xie,Quanxue Gao,Qianqian Wang,Song Xiao:
  Multi-View Spectral Clustering via Integrating Global and Local Graphs.IEEE Access7:31197-31206 (2019)
• 
  [j45]
  De-Yan Xie,Qin Li,Wei Xia,Shiwei Pang,Huihui He,Quanxue Gao:
  Multi-View Classification via Adaptive Discriminant Analysis.IEEE Access7:36702-36709 (2019)
• 
  [j44]
  Siyang Deng,Qianqian Wang,Quanxue Gao:
  Adaptive Semi-Supervised Classification by Joint Global and Local Graph.IEEE Access7:87212-87222 (2019)
• 
  [j43]
  Feng Xiong,Qianqian Wang,Quanxue Gao:
  Consistent Embedded GAN for Image-to-Image Translation.IEEE Access7:126651-126661 (2019)
• 
  [j42]
  Yang Liu,Caifeng Shan,Quanxue Gao,Xinbo Gao,Jungong Han,Rongmei Cui:
  Hyperspectral image denoising via minimizing the partial sum of singular values and superpixel segmentation.Neurocomputing330:465-482 (2019)
• 
  [j41]
  Pu Zhang,Siyang Deng,Feiping Nie,Yang Liu,Xiangdong Zhang,Quanxue Gao:
  Nuclear-norm based 2DLDA with application to face recognition.Neurocomputing339:94-104 (2019)
• 
  [j40]
  Yang Liu,Feiping Nie,Quanxue Gao,Xinbo Gao,Jungong Han,Ling Shao:
  Flexible unsupervised feature extraction for image classification.Neural Networks115:65-71 (2019)
• 
  [j39]
  Yang Liu,Xinbo Gao,Quanxue Gao,Ling Shao,Jungong Han:
  Adaptive robust principal component analysis.Neural Networks119:85-92 (2019)
• 
  [j38]
  Quanxue Gao,Sai Xu,Fang Chen,Chris Ding,Xinbo Gao,Yunsong Li:
  ${R}_1$ -2-DPCA and Face Recognition.IEEE Trans. Cybern.49(4):1212-1223 (2019)
• 
  [c19]
  Quanxue Gao,Jiafeng Cheng,De-Yan Xie,Pu Zhang,Wei Xia,Qianqian Wang:
  Tensor Linear Regression and Its Application to Color Face Recognition.ICCV Workshops2019:523-531
• 
  [c18]
  Zhaoyang Li,Qianqian Wang,Zhiqiang Tao,Quanxue Gao,Zhaohua Yang:
  Deep Adversarial Multi-view Clustering Network.IJCAI2019:2952-2958
• 
  [c17]
  Shuangli Liao,Quanxue Gao,Feiping Nie,Yang Liu,Xiangdong Zhang:
  Worst-Case Discriminative Feature Selection.IJCAI2019:2973-2979
• 
  [c16]
  Yang Liu,De-Yan Xie,Quanxue Gao,Jungong Han,Shujian Wang,Xinbo Gao:
  Graph and Autoencoder Based Feature Extraction for Zero-shot Learning.IJCAI2019:3038-3044
• 2018
• 
  [j37]
  Yang Liu,Quanxue Gao,Xinbo Gao,Ling Shao:
  L_{2, 1}-Norm Discriminant Manifold Learning.IEEE Access6:40723-40734 (2018)
• 
  [j36]
  Shujian Wang,De-Yan Xie,Fang Chen,Quanxue Gao:
  Dimensionality reduction by LPP-L21.IET Comput. Vis.12(5):659-665 (2018)
• 
  [j35]
  Yang Liu,Shuangshuang Zhao,Qianqian Wang,Quanxue Gao:
  Learning more distinctive representation by enhanced PCA network.Neurocomputing275:924-931 (2018)
• 
  [j34]
  Yang Liu,Feiping Nie,Quanxue Gao:
  Nuclear-norm based semi-supervised multiple labels learning.Neurocomputing275:940-947 (2018)
• 
  [j33]
  Yue Song,Yang Liu,Quanxue Gao,Xinbo Gao,Feiping Nie,Rongmei Cui:
  Euler Label Consistent K-SVD for image classification and action recognition.Neurocomputing310:277-286 (2018)
• 
  [j32]
  Yang Liu,Kaiwen Wen,Quanxue Gao,Xinbo Gao,Feiping Nie:
  SVM based multi-label learning with missing labels for image annotation.Pattern Recognit.78:307-317 (2018)
• 
  [j31]
  Quanxue Gao,Lan Ma,Yang Liu,Xinbo Gao,Feiping Nie:
  Angle 2DPCA: A New Formulation for 2DPCA.IEEE Trans. Cybern.48(5):1672-1678 (2018)
• 
  [j30]
  Qianqian Wang,Quanxue Gao,Xinbo Gao,Feiping Nie:
  ℓ_{2, p} -Norm Based PCA for Image Recognition.IEEE Trans. Image Process.27(3):1336-1346 (2018)
• 
  [j29]
  Shuangli Liao,Quanxue Gao,Zhaohua Yang,Fang Chen,Feiping Nie,Jungong Han:
  Discriminant Analysis via Joint Euler Transform and ℓ_{2, 1}-Norm.IEEE Trans. Image Process.27(11):5668-5682 (2018)
• 
  [j28]
  Qianqian Wang,Quanxue Gao,De-Yan Xie,Xinbo Gao,Yong Wang:
  Robust DLPP With Nongreedy ℓ₁-Norm Minimization and Maximization.IEEE Trans. Neural Networks Learn. Syst.29(3):738-743 (2018)
• 
  [c15]
  Shuangli Liao,Jin Li,Yang Liu,Quanxue Gao,Xinbo Gao:
  Robust Formulation for PCA: Avoiding Mean Calculation With L_{2, p}-norm Maximization.AAAI2018:3604-3610
• 
  [c14]
  Yang Liu,Quanxue Gao,Jungong Han,Shujian Wang:
  Euler Sparse Representation for Image Classification.AAAI2018:3691-3697
• 
  [c13]
  Qianqian Wang,Zhengming Ding,Zhiqiang Tao,Quanxue Gao,Yun Fu:
  Partial Multi-view Clustering via Consistent GAN.ICDM2018:1290-1295
• 
  [c12]
  Yang Liu,Quanxue Gao,Zhaohua Yang,Shujian Wang:
  Learning with Adaptive Neighbors for Image Clustering.IJCAI2018:2483-2489
• 
  [c11]
  Yang Liu,Quanxue Gao,Jin Li,Jungong Han,Ling Shao:
  Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder.IJCAI2018:2490-2496
• 2017
• 
  [j27]
  Mengyuan Li,Jing Wang,Qianqian Wang,Quanxue Gao:
  Trace ratio 2DLDA with L1-norm optimization.Neurocomputing266:216-225 (2017)
• 
  [j26]
  Tao Li,Mengyuan Li,Quanxue Gao,De-Yan Xie:
  F-norm distance metric based robust 2DPCA and face recognition.Neural Networks94:204-211 (2017)
• 
  [j25]
  Qianqian Wang,Lan Ma,Quanxue Gao,Yunsong Li,Yunfang Huang,Yang Liu:
  Adaptive maximum margin analysis for image recognition.Pattern Recognit.61:339-347 (2017)
• 
  [j24]
  Qianqian Wang,Quanxue Gao,Xinbo Gao,Feiping Nie:
  Optimal mean two-dimensional principal component analysis with F-norm minimization.Pattern Recognit.68:286-294 (2017)
• 
  [j23]
  Yang Liu,Quanxue Gao,Shuo Miao,Xinbo Gao,Feiping Nie,Yunsong Li:
  A Non-Greedy Algorithm for L1-Norm LDA.IEEE Trans. Image Process.26(2):684-695 (2017)
• 
  [c10]
  Qianqian Wang,Quanxue Gao:
  Two-Dimensional PCA with F-Norm Minimization.AAAI2017:2718-2724
• 
  [c9]
  Qianqian Wang,Quanxue Gao,Xinbo Gao,Feiping Nie:
  Angle Principal Component Analysis.IJCAI2017:2936-2942
• 2016
• 
  [j22]
  Shuo Miao,Jing Wang,Quanxue Gao,Fang Chen,Yong Wang:
  Discriminant structure embedding for image recognition.Neurocomputing174:850-857 (2016)
• 
  [j21]
  Qianqian Wang,Fang Chen,Quanxue Gao,Xinbo Gao,Feiping Nie:
  On the schatten norm for matrix based subspace learning and classification.Neurocomputing216:192-199 (2016)
• 
  [j20]
  Quanxue Gao:
  Rebuttal to "Comments on 'Joint Global and Local Structure Discriminant Analysis"'.IEEE Trans. Inf. Forensics Secur.11(2):429-430 (2016)
• 
  [c8]
  Qianqian Wang,Quanxue Gao:
  Robust 2DPCA and Its Application.CVPR Workshops2016:1152-1158
• 2015
• 
  [j19]
  Quanxue Gao,Yunfang Huang,Xinbo Gao,Weiguo Shen,Hailin Zhang:
  A novel semi-supervised learning for face recognition.Neurocomputing152:69-76 (2015)
• 
  [j18]
  Kai Cui,Quanxue Gao,Hailin Zhang,Xinbo Gao,De-Yan Xie:
  Merging model-based two-dimensional principal component analysis.Neurocomputing168:1198-1206 (2015)
• 
  [j17]
  Quanxue Gao,Yunfang Huang,Hailin Zhang,Xin Hong,Kui Li,Yong Wang:
  Discriminative sparsity preserving projections for image recognition.Pattern Recognit.48(8):2543-2553 (2015)
• 
  [j16]
  Quanxue Gao,Qianqian Wang,Yunfang Huang,Xinbo Gao,Xin Hong,Hailin Zhang:
  Dimensionality Reduction by Integrating Sparse Representation and Fisher Criterion and its Applications.IEEE Trans. Image Process.24(12):5684-5695 (2015)
• 
  [c7]
  Yong Wang,Wenjuan Xu,Xiaoyu Yang,Qianqian Qiao,Zheng Jia,Quanxue Gao:
  An Accelerated Two-Step Iteration Hybrid-norm Algorithm for Image Restoration.CCCV (2)2015:335-343
• 2014
• 
  [j15]
  Qianqian Wang,Xiaolei Hu,Quanxue Gao,Bing Li,Yong Wang:
  Global-local fisher discriminant approach for face recognition.Neural Comput. Appl.25(5):1137-1144 (2014)
• 
  [j14]
  Quanxue Gao,Jingjing Liu,Kai Cui,Hailin Zhang,Xiaogang Wang:
  Stable locality sensitive discriminant analysis for image recognition.Neural Networks54:49-56 (2014)
• 2013
• 
  [j13]
  Quanxue Gao,Xiujuan Hao,Qijun Zhao,Weiguo Shen,Jingjie Ma:
  Feature extraction using two-dimensional neighborhood margin and variation embedding.Comput. Vis. Image Underst.117(5):525-531 (2013)
• 
  [j12]
  Quanxue Gao,Haijun Zhang,Xiaojing Yang,Jingjing Liu,Yamin Liu:
  Joint geometry and variability for image recognition.Neurocomputing99:241-249 (2013)
• 
  [j11]
  Quanxue Gao,Jingjing Liu,Hailin Zhang,Xinbo Gao,Kui Li:
  Joint Global and Local Structure Discriminant Analysis.IEEE Trans. Inf. Forensics Secur.8(4):626-635 (2013)
• 
  [j10]
  Quanxue Gao,Jingjie Ma,Hailin Zhang,Xinbo Gao,Yamin Liu:
  Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction.IEEE Trans. Image Process.22(7):2521-2531 (2013)
• 
  [j9]
  Quanxue Gao,Feifei Gao,Hailin Zhang,Xiujuan Hao,Xiaogang Wang:
  Two-Dimensional Maximum Local Variation Based on Image Euclidean Distance for Face Recognition.IEEE Trans. Image Process.22(10):3807-3817 (2013)
• 2012
• 
  [j8]
  Quanxue Gao,Haijun Zhang,Jingjing Liu:
  Two-dimensional margin, similarity and variation embedding.Neurocomputing86:179-183 (2012)
• 
  [j7]
  Quanxue Gao,Jingjing Liu,Haijun Zhang,Jun Hou,Xiaojing Yang:
  Enhanced fisher discriminant criterion for image recognition.Pattern Recognit.45(10):3717-3724 (2012)
• 2010
• 
  [j6]
  Quanxue Gao,Hui Xu,Yiying Li,De-Yan Xie:
  Two-dimensional supervised local similarity and diversity projection.Pattern Recognit.43(10):3359-3363 (2010)
• 
  [j5]
  Quanxue Gao,Lei Zhang,David Zhang,Hui Xu:
  Independent components extraction from image matrix.Pattern Recognit. Lett.31(3):171-178 (2010)
• 
  [c6]
  Yiying Li,Qichuan Tian,Quanxue Gao,Jing Xu:
  Directional Two-dimensional Neighborhood Preserving Projection for Face Recognition.CASoN2010:357-360
• 
  [c5]
  Quanxue Gao,Jun Hou,Xiujuan Hao,Yiying Li:
  Directional Multimode Subspace Analysis with Tensor Representation-Discriminant Feature Extraction.CASoN2010:361-364
• 
  [c4]
  Quanxue Gao,Yiying Li,Yamin Liu,Haijun Zhang:
  Directional Principal Component Analysis for Image Matrix.CASoN2010:374-377

• 2009
• 
  [j4]
  Quanxue Gao,Lei Zhang,David Zhang:
  Sequential row-column independent component analysis for face recognition.Neurocomputing72(4-6):1152-1159 (2009)
• 2008
• 
  [j3]
  Quanxue Gao,Lei Zhang,David Zhang:
  Face recognition using FLDA with single training image per person.Appl. Math. Comput.205(2):726-734 (2008)
• 
  [c3]
  Lei Zhang,Quanxue Gao,David Zhang:
  Directional independent component analysis with tensor representation.CVPR2008
• 
  [c2]
  Qin Li,Xue-Min Jin,Quanxue Gao,Jane You,Prabir Bhattacharya:
  Screening Diabetic Retinopathy Through Color Retinal Images.ICMB2008:176-183
• 2007
• 
  [j2]
  Quanxue Gao:
  Is two-dimensional PCA equivalent to a special case of modular PCA?Pattern Recognit. Lett.28(10):1250-1251 (2007)
• 
  [j1]
  Quanxue Gao,Lei Zhang,David Zhang,Jian Yang:
  Comments on "On Image Matrix Based Feature Extraction Algorithms".IEEE Trans. Syst. Man Cybern. Part B37(5):1373-1374 (2007)
• 
  [c1]
  Lei Zhang,Quanxue Gao,David Zhang:
  Block Independent Component Analysis for Face Recognition.ICIAP2007:217-222