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郭宇

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Journal Papers

    1. Yinuo Wang, Yu Guo*, Zheng Wang, Fei Wang, “Joint learning of latent subspace and structured graph for multi-view clustering,” Pattern Recognition, Volume 154, 2024. 

    2. Yu Guo, Yuan Sun, Zheng Wang, Feiping Nie and Fei Wang*, “Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 10, pp. 13354-13367, 2024.

    3. Yu Guo, Luting Zhao, Yan Shi, Xuetao Zhang*, Shaoyi Du, Fei Wang, "Adaptive Weighted Robust Iterative Closest Point," Neurocomputing, vol. 508, pp. 225-241, 2022(SCI). 

    4. Yantao Ji, Peilin Jiang, Yu Guo* , Ruiteng Zhang and Fei Wang, "Self-paced collaborative representation with manifold weighting for hyperspectral anomaly detection," Remote Sensing Letters, vol. 13, pp. 599-610, 2022. (SCI)

    5. Yu Guo*, Lichen Ma, Zhi Li, Xuan Wang, and Fei Wang, "Monocular 3D multi-person pose estimation via predicting factorized correction factors," Computer Vision and Image Understanding, vol. 213, 2021. (SCI)
    6. Yu Guo*, Xiaoxiao Yang, Yinuo Wang, Fei Wang, and Badong Chen, "Online robust echo state broad learning system," Neurocomputing, vol. 464, pp. 438-449, 2021. (SCI)
    7. Minglei Lu, Yu Guo*, Fei Wang, Zheng Dang, "A Method to Generate High Precision Mesh Model and RGB-D Dataset for 6D Pose Estimation Task", preprint, 2020.
    8. Yu Guo*, Fei Wang, James Ting-Ho Lo, “Chaotic synchronization based on neural filter,”Journal of the Franklin Institute, vol. 355, issue 4, pp. 1579-1595, 2018. (SCI)
    9. Yu Guo*, Fei Wang, Jingmin Xin, “Point-wise saliency detection on 3D point clouds via covariance descriptors,” The Visual Computer, vol. 34, pp. 1325–1338, 2017. (SCI)
    10. Yu Guo*, Fei Wang, Badong Chen, Jingmin Xin, “Robust echo state networks based on correntropy induced loss function,” Neurocomputing, vol. 267, pp. 295-303, 2017. (SCI) 
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