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学术论文

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代表性论文:

     期刊论文:

[1]      Qianqian Wang, Quanxue Gao, Linlu Wu, Gan Sun, Licheng Jiao, Adversarial Multi-path Residual Network for Image Super-Resolution, IEEE Transactions on Image Processing, 2021, accepted. 影响因子:10.856,中科院一区 .

[2]    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, vol. 30, pp. 1771-1783, 2021, doi: 10.1109/TIP.2020.3048626. 影响因子10.856,中科院一区 .

[3]      Qianqian Wang, Huanhuan Lian, Gan Sun, Quanxue Gao, Licheng Jiao, iCmSC: Incomplete Cross-modal Subspace Clustering, IEEE Transactions on Image Processing, vol. 30, pp. 305-317, 2021, doi: 10.1109/TIP.2020.3036717. 影响因子10.856,中科院一区 .

[4]     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, doi: 10.1109/TMM.2020.3025666. 影响因子6.513,中科院一区 .

[5]      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. 影响因子10.451,中科院一区 .

[6]      Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie.ℓ2,p-norm based PCA for Image Recognition. IEEE Transactions on Image Processing. 2018, 27(3): 1336-1346. 影响因子10.856,中科院一区 .

[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. 影响因子10.856,中科院一区 .

[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. 影响因子7.74,中科院一区 .

[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.  影响因子7.74,中科院一区 .

会议论文:

[1]      Qianqian Wang, Wei Xia, Zhiqiang Tao, Quanxue Gao, Xiaochun Cao, Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering, ACM MM, 2020, Accepted

[2]     Qianqian Wang, Quanxue Gao, Xinbo Gao, and Feiping Nie. Angle principal component analysis, IJCAI, 2017:2936-2942. CCF A类会议

[3]      Qianqian Wang, and Quanxue Gao, Two-dimensional PCA with F-norm minimization, AAAI, 2017:2718-2724. CCF A类会议

[4]      Qianqian Wang, Zengming Ding, Zhiqiang Tao, Quanxue Gao and Yun Fu, Partial Multi-view Clustering via Consistent GAN, IEEE ICDM, 2018: 1290-1295. CCF B类会议.

[5]      Qianqian Wang, and Quanxue Gao. Robust 2DPCA and Its Application, Proceedings of the IEEE CVPR Workshops. 2016: 79-85. 

[6]      Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, and Zhaohua Yang. Deep Adversarial Multi-view Clustering Network, IJCAI, 2019:2952-2958. CCF A类会议

[7]      Jiafeng Cheng, Qianqian Wang, Deyan Xie, Quanxue Gao, Multi-View Attribute Graph Convolution Networks for Clustering, IJCAI, 2020: 2973-2979, CCF A类会议.

[8]      Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun: Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis, AAAI, 2020, CCF A类会议.