Quanxue Gao

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 130

Top Venues

Neurocomputing

Neural Networks

CoRR

IEEE Trans. Image Process.

Publications

Shikun Mei, Fangfang Li, Quanxue Gao, Ming Yang
Anchor-free Clustering based on Anchor Graph Factorization. CoRR (2024)
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 (2024)
Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie
Label Learning Method Based on Tensor Projection. KDD (2024)
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 (2024)
Yu Lei, Zuoyuan Niu, Qianqian Wang, Quanxue Gao, Ming Yang
Anchor graph-based multiview spectral clustering. Neurocomputing 583 (2024)
Yang Lu, Qin Li, Xiangdong Zhang, Quanxue Gao
Deep contrastive representation learning for multi-modal clustering. Neurocomputing 581 (2024)
Wenming Wu, Xiaoke Ma, Quan Wang, Maoguo Gong, Quanxue Gao
Learning deep representation and discriminative features for clustering of multi-layer networks. Neural Networks 170 (2024)
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) (2024)
Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia
Tensorized Label Learning on Anchor Graph. AAAI (2024)
Han Lu, Huafu Xu, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao
Efficient Multi-View -Means for Image Clustering. IEEE Trans. Image Process. 33 (2024)
Yichen Bao, Wenhui Zhao, Qin Zhao, Quanxue Gao, Ming Yang
Dual contrastive learning for multi-view clustering. Neurocomputing 599 (2024)
Qian Zhou, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao
Unsupervised Discriminative Feature Selection via Contrastive Graph Learning. IEEE Trans. Image Process. 33 (2024)
Jing Li, Quanxue Gao, Cheng Deng, Qianqian Wang, Ming Yang
Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization. CoRR (2024)
Zihao Zhang, Qianqian Wang, Chengquan Pei, Quanxue Gao
Deep cross-modal subspace clustering with Contrastive Neighbour Embedding. Neurocomputing 576 (2024)
Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie
Label Learning Method Based on Tensor Projection. CoRR (2024)
Wenhui Zhao, Guangfei Li, Haizhou Yang, Quanxue Gao, Qianqian Wang
Embedded Feature Selection on Graph-Based Multi-View Clustering. AAAI (2024)
Jing Li, Qianqian Wang, Ming Yang, Quanxue Gao, Xinbo Gao
Efficient Anchor Graph Factorization for Multi-View Clustering. IEEE Trans. Multim. 26 (2024)
Yu Lei, Guoshuai Sheng, Fangfang Li, Quanxue Gao, Cheng Deng, Qin Li
High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning. CoRR (2024)
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) (2024)
Han Lu, Fangfang Li, Quanxue Gao, Cheng Deng, Chris Ding, Qianqian Wang
Fuzzy K-Means Clustering without Cluster Centroids. CoRR (2024)
Wenhui Zhao, Quanxue Gao, Guangfei Li, Cheng Deng, Ming Yang
One-Step Multi-View Clustering Based on Transition Probability. CoRR (2024)
Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong
Partial Multi-View Clustering via Self-Supervised Network. AAAI (2024)
De-Yan Xie, Quanxue Gao, Yougang Zhao, Fan Yang, Wei Song
Consistent graph learning for multi-view spectral clustering. Pattern Recognit. 154 (2024)
Wei Xia, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao
Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt. IEEE Trans. Multim. 25 (2023)
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) (2023)
Yu Yun, Jing Li, Quanxue Gao, Ming Yang, Xinbo Gao
Low-rank discrete multi-view spectral clustering. Neural Networks 166 (2023)
Wenhui Zhao, Quanxue Gao, Shikun Mei, Ming Yang
Contrastive self-representation learning for data clustering. Neural Networks 167 (2023)
Qian Zhou, Quanxue Gao, Qianqian Wang, Ming Yang, Xinbo Gao
Sparse discriminant PCA based on contrastive learning and class-specificity distribution. Neural Networks 167 (2023)
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 (2023)
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) (2023)
Jing Li, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia
Orthogonal Non-negative Tensor Factorization based Multi-view Clustering. NeurIPS (2023)
Zihao Zhang, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Wei Feng
Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks. ACM Multimedia (2023)
Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia, Xinbo Gao
Multi-View Clustering via Semi-non-negative Tensor Factorization. CoRR (2023)
Han Lu, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia
Centerless Multi-View K-means Based on the Adjacency Matrix. AAAI (2023)
Shikun Mei, Wenhui Zhao, Quanxue Gao, Ming Yang, Xinbo Gao
Joint feature selection and optimal bipartite graph learning for subspace clustering. Neural Networks 164 (2023)
Wenbing Liu, Haibo Wang, Quanxue Gao, Zhaorui Zhu
Multi-modal object detection via transformer network. IET Image Process. 17 (12) (2023)
Wei Xia, Tianxiu Wang, Quanxue Gao, Ming Yang, Xinbo Gao
Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering. IEEE Trans. Image Process. 32 (2023)
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 Networks 167 (2023)
Deyan Xie, Quanxue Gao, Ming Yang
Enhanced tensor low-rank representation learning for multi-view clustering. Neural Networks 161 (2023)
Quanxue Gao, Qianqian Wang, Han Lu, Wei Xia, Xinbo Gao
Rethinking k-means from manifold learning perspective. CoRR (2023)
Meiling Liu, Wei Feng, Chengquan Pei, Qianqian Wang, Quanxue Gao
Capped L2p-Norm Based 2DPCA with Adaptive Capped Threshold Learning for Image Processing. ICCT (2023)
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) (2022)
Haizhou Yang, Quanxue Gao, Wei Xia, Ming Yang, Xinbo Gao
Multiview Spectral Clustering With Bipartite Graph. IEEE Trans. Image Process. 31 (2022)
Yujiao Zhao, Yu Yun, Xiangdong Zhang, Qin Li, Quanxue Gao
-norm. Neurocomputing 468 (2022)
Yu Yun, Sen Wang, Mingzhen Hou, Quanxue Gao
Attributes learning network for generalized zero-shot learning. Neural Networks 150 (2022)
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 Networks 145 (2022)
Siyang Deng, Gang Xiang, Quanxue Gao, Wei Xia, Xinbo Gao
Zero-Shot Learning Based on Quality-Verifying Adversarial Network. IEEE Trans. Multim. 24 (2022)
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 (2022)
Guoshuai Sheng, Qianqian Wang, Chengquan Pei, Quanxue Gao
Contrastive deep embedded clustering. Neurocomputing 514 (2022)
Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao
Tensor Completion-Based Incomplete Multiview Clustering. IEEE Trans. Cybern. 52 (12) (2022)
Wei Xia, Qianqian Wang, Quanxue Gao, Xiangdong Zhang, Xinbo Gao
Self-Supervised Graph Convolutional Network for Multi-View Clustering. IEEE Trans. Multim. 24 (2022)
Han Lu, Quanxue Gao, Xiangdong Zhang, Wei Xia
-means and graph-cut. Neurocomputing 501 (2022)
Zhaorui Zhu, Quanxue Gao
Semi-Supervised Clustering via Cannot Link Relationship for Multiview Data. IEEE Trans. Circuits Syst. Video Technol. 32 (12) (2022)
Ziyu Lv, Quanxue Gao, Xiangdong Zhang, Qin Li, Ming Yang
View-Consistency Learning for Incomplete Multiview Clustering. IEEE Trans. Image Process. 31 (2022)
Tianyu Jiang, Quanxue Gao
Fast multiple graphs learning for multi-view clustering. Neural Networks 155 (2022)
Qian Zhou, Haizhou Yang, Quanxue Gao
Low-rank constraint bipartite graph learning. Neurocomputing 511 (2022)
Wei Xia, Xiangdong Zhang, Quanxue Gao, Xinbo Gao
Adversarial self-supervised clustering with cluster-specificity distribution. Neurocomputing 449 (2021)
Siyang Deng, Wei Xia, Quanxue Gao, Xinbo Gao
Cross-view classification by joint adversarial learning and class-specificity distribution. Pattern Recognit. 110 (2021)
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 (2021)
Zhizhen Wan, Huiling Xu, Quanxue Gao
Multi-view clustering by joint spectral embedding and spectral rotation. Neurocomputing 462 (2021)
Quanxue Gao, Wei Xia, Xinbo Gao, Dacheng Tao
Effective and Efficient Graph Learning for Multi-view Clustering. CoRR (2021)
Qianqian Wang, Quanxue Gao, Linlu Wu, Gan Sun, Licheng Jiao
Adversarial Multi-Path Residual Network for Image Super-Resolution. IEEE Trans. Image Process. 30 (2021)
De-Yan Xie, Quanxue Gao, Siyang Deng, Xiaojun Yang, Xinbo Gao
Multiple graphs learning with a new weighted tensor nuclear norm. Neural Networks 133 (2021)
Shiwen Kou, Wei Xia, Xiangdong Zhang, Quanxue Gao, Xinbo Gao
Self-supervised graph convolutional clustering by preserving latent distribution. Neurocomputing 437 (2021)
Xinan Hou, Quanxue Gao, Rong Wang, Xin Luo
Satellite-Borne Optical Remote Sensing Image Registration Based on Point Features. Sensors 21 (8) (2021)
Qianqian Wang, Huanhuan Lian, Gan Sun, Quanxue Gao, Licheng Jiao
iCmSC: Incomplete Cross-Modal Subspace Clustering. IEEE Trans. Image Process. 30 (2021)
Qianqian Wang, Jiafeng Cheng, Quanxue Gao, Guoshuai Zhao, Licheng Jiao
Deep Multi-View Subspace Clustering With Unified and Discriminative Learning. IEEE Trans. Multim. 23 (2021)
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) (2021)
Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao
Regression-based clustering network via combining prior information. Neurocomputing 448 (2021)
Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao
Relation-based Discriminative Cooperation Network for Zero-Shot Classification. Pattern Recognit. 118 (2021)
Ying Dou, Yu Yun, Quanxue Gao, Xiangdong Zhang
Self-representation and matrix factorization based multi-view clustering. Neurocomputing 459 (2021)
Qianqian Wang, Wei Xia, Zhiqiang Tao, Quanxue Gao, Xiaochun Cao
Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering. ACM Multimedia (2021)
Huiling Xu, Wei Xia, Quanxue Gao, Jungong Han, Xinbo Gao
Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution. Neural Networks 142 (2021)
Tianyu Jiang, Quanxue Gao
Multiple Graph Learning for Scalable Multi-view Clustering. CoRR (2021)
Wei Xia, Quanxue Gao, Ming Yang, Xinbo Gao
Self-supervised Contrastive Attributed Graph Clustering. CoRR (2021)
Yu Yun, Wei Xia, Yongqing Zhang, Quanxue Gao, Xinbo Gao
Self-representation and Class-Specificity Distribution Based Multi-View Clustering. Neurocomputing 437 (2021)
Quanxue Gao, Wei Xia, Zhizhen Wan, De-Yan Xie, Pu Zhang
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering. AAAI (2020)
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
Generative Partial Multi-View Clustering. CoRR (2020)
Mingzhen Hou, Wei Xia, Xiangdong Zhang, Quanxue Gao
Discriminative comparison classifier for generalized zero-shot learning. Neurocomputing 414 (2020)
Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun
Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis. AAAI (2020)
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) (2020)
De-Yan Xie, Feiping Nie, Quanxue Gao, Song Xiao
Fast algorithm for large-scale subspace clustering by LRR. IET Image Process. 14 (8) (2020)
De-Yan Xie, Wei Xia, Qianqian Wang, Quanxue Gao, Song Xiao
Multi-view clustering by joint manifold learning and tensor nuclear norm. Neurocomputing 380 (2020)
Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao
Multi-View Attribute Graph Convolution Networks for Clustering. IJCAI (2020)
De-Yan Xie, Feiping Nie, Quanxue Gao
On the optimal solution to maximum margin projection pursuit. Multim. Tools Appl. 79 (47) (2020)
Qianqian Wang, Quanxue Gao, Gan Sun, Chris Ding
Double robust principal component analysis. Neurocomputing 391 (2020)
Quanxue Gao, Zhizhen Wan, Ying Liang, Qianqian Wang, Yang Liu, Ling Shao
Multi-view projected clustering with graph learning. Neural Networks 126 (2020)
Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao
Label-activating framework for zero-shot learning. Neural Networks 121 (2020)
Huiling Xu, Xiangdong Zhang, Wei Xia, Quanxue Gao, Xinbo Gao
Low-rank tensor constrained co-regularized multi-view spectral clustering. Neural Networks 132 (2020)
De-Yan Xie, Quanxue Gao, Qianqian Wang, Xiangdong Zhang, Xinbo Gao
Adaptive latent similarity learning for multi-view clustering. Neural Networks 121 (2020)
Quanxue Gao, Sai Xu, Fang Chen, Chris Ding, Xinbo Gao, Yunsong Li
${R}_1$ -2-DPCA and Face Recognition. IEEE Trans. Cybern. 49 (4) (2019)
Qin Li, Yang Liu, Shujian Wang, Quanxue Gao, Xinbo Gao
Image Classification Using Low-Rank Regularized Extreme Learning Machine. IEEE Access 7 (2019)
De-Yan Xie, Quanxue Gao, Qianqian Wang, Song Xiao
Multi-View Spectral Clustering via Integrating Global and Local Graphs. IEEE Access 7 (2019)
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. Neurocomputing 330 (2019)
Quanxue Gao, Jiafeng Cheng, De-Yan Xie, Pu Zhang, Wei Xia, Qianqian Wang
Tensor Linear Regression and Its Application to Color Face Recognition. ICCV Workshops (2019)
Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang
Worst-Case Discriminative Feature Selection. IJCAI (2019)
Yang Liu, Xinbo Gao, Quanxue Gao, Ling Shao, Jungong Han
Adaptive robust principal component analysis. Neural Networks 119 (2019)
Feng Xiong, Qianqian Wang, Quanxue Gao
Consistent Embedded GAN for Image-to-Image Translation. IEEE Access 7 (2019)
Yang Liu, Feiping Nie, Quanxue Gao, Xinbo Gao, Jungong Han, Ling Shao
Flexible unsupervised feature extraction for image classification. Neural Networks 115 (2019)
Siyang Deng, Qianqian Wang, Quanxue Gao
Adaptive Semi-Supervised Classification by Joint Global and Local Graph. IEEE Access 7 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Quanxue Gao