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Quanxue Gao
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2020 – today
- 2025
- [j117]Jin Chen, Huafu Xu, Jingjing Xue
, Quanxue Gao, Cheng Deng, Ziyu Lv:
Incomplete multi-view clustering based on hypergraph. Inf. Fusion 117: 102804 (2025) - [j116]Shikun Mei, Qianqian Wang, Quanxue Gao, Ming Yang:
Multi-view clustering based on feature selection and semi-non-negative anchor graph factorization. Neural Networks 184: 107111 (2025) - 2024
- [j115]Zihao Zhang
, Qianqian Wang, Chengquan Pei, Quanxue Gao:
Deep cross-modal subspace clustering with Contrastive Neighbour Embedding. Neurocomputing 576: 127318 (2024) - [j114]Yang Lu, Qin Li, Xiangdong Zhang, Quanxue Gao
:
Deep contrastive representation learning for multi-modal clustering. Neurocomputing 581: 127523 (2024) - [j113]Yu Lei, Zuoyuan Niu, Qianqian Wang, Quanxue Gao
, Ming Yang
:
Anchor graph-based multiview spectral clustering. Neurocomputing 583: 127579 (2024) - [j112]Yichen Bao, Wenhui Zhao, Qin Zhao, Quanxue Gao
, Ming Yang
:
Dual contrastive learning for multi-view clustering. Neurocomputing 599: 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 Networks 170: 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 Data 10(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. AAAI 2024: 11988-11995 - [c36]Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia:
Tensorized Label Learning on Anchor Graph. AAAI 2024: 13537-13544 - [c35]Wenhui Zhao, Guangfei Li, Haizhou Yang, Quanxue Gao, Qianqian Wang:
Embedded Feature Selection on Graph-Based Multi-View Clustering. AAAI 2024: 17016-17023 - [c34]Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao:
Federated Multi-View Clustering via Tensor Factorization. IJCAI 2024: 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. IJCAI 2024: 3971-3979 - [c32]Qianqian Wang, Meiling Liu, Wei Feng, Mengping Jiang, Haiming Xu, Quanxue Gao:
Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning. IJCAI 2024: 5091-5098 - [c31]Jing Li
, Quanxue Gao
, Qianqian Wang
, Cheng Deng
, De-Yan Xie
:
Label Learning Method Based on Tensor Projection. KDD 2024: 1599-1609 - [c30]Wei Feng
, Dongyuan Wei
, Qianqian Wang
, Bo Dong
, Quanxue Gao
:
Multi-View Clustering Based on Deep Non-negative Tensor Factorization. ACM Multimedia 2024: 1130-1138 - [c29]Bowen Zhao
, Qianqian Wang
, Zhiqiang Tao
, Wei Feng
, Quanxue Gao
:
DFMVC: Deep Fair Multi-view Clustering. ACM Multimedia 2024: 8090-8099 - [c28]Wei Feng
, Zhenwei Wu
, Qianqian Wang
, Bo Dong
, Quanxue Gao
:
Federated Fuzzy C-means with Schatten-p Norm Minimization. ACM Multimedia 2024: 9407-9416 - [i12]Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie:
Label Learning Method Based on Tensor Projection. CoRR abs/2402.16544 (2024) - [i11]Wenhui Zhao, Quanxue Gao, Guangfei Li, Cheng Deng, Ming Yang:
One-Step Multi-View Clustering Based on Transition Probability. CoRR abs/2403.01460 (2024) - [i10]Jing Li, Quanxue Gao, Cheng Deng, Qianqian Wang, Ming Yang:
Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization. CoRR abs/2404.00883 (2024) - [i9]Han Lu, Fangfang Li, Quanxue Gao, Cheng Deng, Chris Ding, Qianqian Wang:
Fuzzy K-Means Clustering without Cluster Centroids. CoRR abs/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. CoRR abs/2404.04953 (2024) - [i7]Fangfang Li, Quanxue Gao, Ming Yang, Cheng Deng, Wei Xia:
Self-Supervised Graph Embedding Clustering. CoRR abs/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 Networks 161: 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 Networks 164: 408-418 (2023) - [j97]Yu Yun, Jing Li
, Quanxue Gao
, Ming Yang
, Xinbo Gao:
Low-rank discrete multi-view spectral clustering. Neural Networks 166: 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 Networks 167: 22-35 (2023) - [j95]Wenhui Zhao
, Quanxue Gao
, Shikun Mei
, Ming Yang
:
Contrastive self-representation learning for data clustering. Neural Networks 167: 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 Networks 167: 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. AAAI 2023: 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. ICCT 2023: 665-672 - [c25]Zihao Zhang
, Qianqian Wang
, Zhiqiang Tao
, Quanxue Gao
, Wei Feng
:
Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks. ACM Multimedia 2023: 3259-3267 - [c24]Jing Li, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia:
Orthogonal Non-negative Tensor Factorization based Multi-view Clustering. NeurIPS 2023 - [i6]Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia, Xinbo Gao:
Multi-View Clustering via Semi-non-negative Tensor Factorization. CoRR abs/2303.16748 (2023) - [i5]Quanxue Gao, Qianqian Wang, Han Lu, Wei Xia, Xinbo Gao:
Rethinking k-means from manifold learning perspective. CoRR abs/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 Schatten p-norm. Neurocomputing 468: 257-264 (2022) - [j87]Han Lu
, Quanxue Gao, Xiangdong Zhang, Wei Xia:
A multi-view clustering framework via integrating K-means and graph-cut. Neurocomputing 501: 609-617 (2022) - [j86]Qian Zhou, Haizhou Yang
, Quanxue Gao:
Low-rank constraint bipartite graph learning. Neurocomputing 511: 426-436 (2022) - [j85]Guoshuai Sheng, Qianqian Wang, Chengquan Pei, Quanxue Gao:
Contrastive deep embedded clustering. Neurocomputing 514: 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 Networks 145: 1-9 (2022) - [j83]Yu Yun, Sen Wang, Mingzhen Hou, Quanxue Gao
:
Attributes learning network for generalized zero-shot learning. Neural Networks 150: 112-118 (2022) - [j82]Tianyu Jiang, Quanxue Gao:
Fast multiple graphs learning for multi-view clustering. Neural Networks 155: 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. Neurocomputing 437: 9-20 (2021) - [j72]Shiwen Kou, Wei Xia
, Xiangdong Zhang, Quanxue Gao, Xinbo Gao:
Self-supervised graph convolutional clustering by preserving latent distribution. Neurocomputing 437: 218-226 (2021) - [j71]Wei Xia
, Quanxue Gao, Qianqian Wang, Xinbo Gao:
Regression-based clustering network via combining prior information. Neurocomputing 448: 324-332 (2021) - [j70]Wei Xia
, Xiangdong Zhang, Quanxue Gao, Xinbo Gao:
Adversarial self-supervised clustering with cluster-specificity distribution. Neurocomputing 449: 38-47 (2021) - [j69]Ying Dou, Yu Yun, Quanxue Gao, Xiangdong Zhang:
Self-representation and matrix factorization based multi-view clustering. Neurocomputing 459: 395-407 (2021) - [j68]Zhizhen Wan, Huiling Xu, Quanxue Gao:
Multi-view clustering by joint spectral embedding and spectral rotation. Neurocomputing 462: 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 Networks 133: 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 Networks 142: 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. Sensors 21(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 Multimedia 2021: 1748-1755 - [i4]Tianyu Jiang, Quanxue Gao:
Multiple Graph Learning for Scalable Multi-view Clustering. CoRR abs/2106.15382 (2021) - [i3]Quanxue Gao, Wei Xia, Xinbo Gao, Dacheng Tao:
Effective and Efficient Graph Learning for Multi-view Clustering. CoRR abs/2108.06734 (2021) - [i2]Wei Xia, Quanxue Gao, Ming Yang, Xinbo Gao:
Self-supervised Contrastive Attributed Graph Clustering. CoRR abs/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. Neurocomputing 380: 105-114 (2020) - [j55]Qianqian Wang
, Quanxue Gao
, Gan Sun, Chris Ding:
Double robust principal component analysis. Neurocomputing 391: 119-128 (2020) - [j54]Mingzhen Hou, Wei Xia
, Xiangdong Zhang, Quanxue Gao:
Discriminative comparison classifier for generalized zero-shot learning. Neurocomputing 414: 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 Networks 121: 1-9 (2020) - [j51]De-Yan Xie, Quanxue Gao, Qianqian Wang, Xiangdong Zhang, Xinbo Gao
:
Adaptive latent similarity learning for multi-view clustering. Neural Networks 121: 409-418 (2020) - [j50]Quanxue Gao, Zhizhen Wan, Ying Liang, Qianqian Wang, Yang Liu, Ling Shao
:
Multi-view projected clustering with graph learning. Neural Networks 126: 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 Networks 132: 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. AAAI 2020: 3930-3937 - [c21]Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun:
Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis. AAAI 2020: 3938-3945 - [c20]Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao:
Multi-View Attribute Graph Convolution Networks for Clustering. IJCAI 2020: 2973-2979 - [i1]Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu:
Generative Partial Multi-View Clustering. CoRR abs/2003.13088 (2020)
2010 – 2019
- 2019
- [j47]Qin Li, Yang Liu
, Shujian Wang, Quanxue Gao, Xinbo Gao
:
Image Classification Using Low-Rank Regularized Extreme Learning Machine. IEEE Access 7: 877-883 (2019) - [j46]De-Yan Xie
, Quanxue Gao, Qianqian Wang, Song Xiao:
Multi-View Spectral Clustering via Integrating Global and Local Graphs. IEEE Access 7: 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 Access 7: 36702-36709 (2019) - [j44]Siyang Deng, Qianqian Wang
, Quanxue Gao:
Adaptive Semi-Supervised Classification by Joint Global and Local Graph. IEEE Access 7: 87212-87222 (2019) - [j43]Feng Xiong, Qianqian Wang
, Quanxue Gao:
Consistent Embedded GAN for Image-to-Image Translation. IEEE Access 7: 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. Neurocomputing 330: 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. Neurocomputing 339: 94-104 (2019) - [j40]Yang Liu, Feiping Nie
, Quanxue Gao
, Xinbo Gao
, Jungong Han, Ling Shao
:
Flexible unsupervised feature extraction for image classification. Neural Networks 115: 65-71 (2019) - [j39]Yang Liu, Xinbo Gao
, Quanxue Gao, Ling Shao
, Jungong Han
:
Adaptive robust principal component analysis. Neural Networks 119: 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 Workshops 2019: 523-531 - [c18]Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang:
Deep Adversarial Multi-view Clustering Network. IJCAI 2019: 2952-2958 - [c17]Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang:
Worst-Case Discriminative Feature Selection. IJCAI 2019: 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. IJCAI 2019: 3038-3044 - 2018
- [j37]Yang Liu
, Quanxue Gao, Xinbo Gao
, Ling Shao
:
L2, 1-Norm Discriminant Manifold Learning. IEEE Access 6: 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]