Publications

Journal Papers

  1. Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu, Generative Partial Multi-View Clustering with Adaptive Fusion and Cycle Consistency, IEEE Transactions on Image Processing, Accepted.
    [paper] [code]
  2. Qianqian Wang, Huanhuan Lian, Gan Sun, Quanxue Gao, Licheng Jiao, iCmSC: Incomplete Cross-modal Subspace Clustering, IEEE Transactions on Image Processing, 2021, 30: 305-317.
    [paper] [code]
  3. Qianqian Wang, Jiafeng Cheng, Quanxue Gao, Guoshuai Zhao, Licheng Jiao, Deep Multi-view Subspace Clustering with Unified and Discriminative Learning, IEEE Transactions on Multimedia, 2020, 10.1109/TMM.2020.3025666.
    [paper] [code]
  4. Qianqian Wang, Quanxue Gao, Deyan Xie, Xinbo Gao, and Wang Yong. Robust DLPP with Non-greedy L1-norm Minimization and Maximization, IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(3): 738-743.
    [paper]
  5. Gan Sun, Yang Cang, Qianqian Wang, Bineng Zhong, Yun Fu, Representative Task Self-selection for Flexible Clustered Lifelong Learning, IEEE Transactions on Neural Networks and Learning Systems, 2020, Accepted.
    [paper]
  6. Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie. â„“2,p-norm based PCA for Image Recognition. IEEE Transactions on Image Processing. 2018, 27(3): 1336-1346.
    [paper] [code]
  7. Quanxue Gao, Qianqian Wang, Yunfang Huang, Xinbo Gao, Hailin Zhang, and Xin Hong. Dimensionality Reduction by Integrating Sparse Representation and Fisher Criterion and its Applications. IEEE Transactions on Image Processing, 2015, 24(12): 5684-5695.
    [paper]
  8. Qianqian Wang, Quanxue Gao, Xinbo Gao, and Feiping Nie. Optimal mean two-dimensional principal component analysis with F-norm minimization, Pattern Recognition, 2017, 68(C): 286-294.
    [paper] [code]
  9. Qianqian Wang, Lan Ma, Quanxue Gao, Yunsong Li, Yunfang Huang, Yang Liu. Adaptive maximum margin analysis for image recognition. Pattern Recognition, 2017, 61: 339-347.
    [paper]
  10. Qianqian Wang, Fang Chen, Quanxue Gao, Xinbo Gao, and Feiping Nie. On the Schatten Norm for Matrix based Subspace Learning and Classification. Neurocomputing, 2016, 216(C): 192-199.
    [paper]
  11. Qianqian Wang, Quanxue Gao, Gan Sun, Chris Ding: Double Robust Principal Component Analysis, Neurocomputing, 2020, 391: 119-128.
    [paper]
  12. Qianqian Wang, Xiaolei Hu, Quanxue Gao, Bing Li, and Yong Wang. Global–local fisher discriminant approach for face recognition. Neural Computing & Applications, 2014, 25(5):1137-1144.
    [paper]
  13. Yang Liu, Shuangshuang Zhao, Qianqian Wang, Quanxue Gao. Learning more distinctive representation by enhanced PCA network. Neurocomputing, 2018, 275: 924-931.
    [paper]
  14. Mengyuan Li, Jing Wang, Qianqian Wang, Quanxue Gao: Trace ratio 2DLDA with L1-normoptimization. Neurocomputing, 2017, 266: 216-225.
    [paper]
  15. Deyan Xie, Wei Xia, Qianqian Wang, Quanxue Gao: Multi-view clustering by joint manifold learning and tensor nuclear norm, Neurocomputing, 2020, 380: 105-114.
    [paper]
  16. Deyan Xie, Quanxue Gao, Qianqian Wang, Xiangdong Zhang, Xinbo Gao: Adaptive latent similarity learning for multi-view clustering, Neural Networks, 2020, 121: 409-418.
    [paper]
  17. Quanxue Gao, Zhizhen Wan, Ying Liang, Qianqian Wang, Yang Liu, Lin Shao: Multi-view projected clustering with graph learning, Neural Networks, 2020, 04, 99, 1-12.
    [paper]
  18. Feng Xiong, Qianqian Wang, Quanxue Gao: Consistent Embedded GAN for Image-to-Image Translation, IEEE Access, 2019, 07: 126651-126661.
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  19. Siyang Deng, Qianqian Wang, Quanxue Gao: Adaptive Semi-Supervised Classification by Joint Global and Local Graph, IEEE Access, 2019, 07: 87212-87222.
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  20. Deyan Xie, Quanxue Gao, Qianqian Wang, Song Xiao: Multi-View Spectral Clustering via Integrating Global and Local Graphs, IEEE Access, 2019, 07: 31197-31206.
    [paper]
  21. Conference Papers

  22. Qianqian Wang, Quanxue Gao, Xinbo Gao, and Feiping Nie. Angle principal component analysis, IJCAI, 2017:2936-2942.
    [paper] [code]
  23. Qianqian Wang, and Quanxue Gao, Two-dimensional PCA with F-norm minimization, AAAI, 2017:2718-2724.
    [paper] [code]
  24. Qianqian Wang, Zengming Ding, Zhiqiang Tao, Quanxue Gao and Yun Fu, Partial Multi-view Clustering via Consistent GAN, IEEE ICDM, 2018: 1290-1295.
    [paper] [code]
  25. Qianqian Wang, and Quanxue Gao. Robust 2DPCA and Its Application, Proceedings of the IEEE CVPR Workshops. 2016: 79-85.
    [paper]
  26. Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, and Zhaohua Yang. Deep Adversarial Multi-view Clustering Network, IJCAI, 2019:2952-2958.
    [paper] [code]
  27. Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, Deyan Xie, Quanxue Gao, Multi-View Attribute Graph Convolution Networks for Clustering, IJCAI, 2020 : 2973-2979.
    [paper] [code]
  28. Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun: Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis, AAAI, 2020: 3938-3945.
    [paper] [code]
  29. Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu: Lifelong Spectral Clustering, AAAI, 2020: 5867-5874.
    [paper]
  30. Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding: Visual Tactile Fusion Object Clustering. AAAI, 2020: 10426-10433
    [paper]
  31. Quanxue Gao, Jiafeng Cheng, Deyan Xie, Pu Zhang, Wei Xia, Qianqian Wang: Tensor Linear Regression and Its Application to Color Face Recognition, IEEE ICCV Workshops. 2019: 523-531.
    [paper]

Patents

1. An Image Pattern Extraction Method Based on SRC-DP and LDA

Y Liu, Q Gao, Y Wang, Q Wang
Filing No. 201510109065.4 Issue Date: 2018.03

2. An Image Classification Method Based on SRC-DP and MFC

Y Liu, Q Gao, X Gao, Q Wang
Filing No. 201510230206.8, Issue Date: 2018.08

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