师资队伍

R. Wang, C. Zhang, J. Bian, Z. Wang, F. Nie, and X. Li, "Sparse and Flexible Projections for Unsupervised Feature Selection," IEEE Trans. Knowl. Data Eng., in press, 2022. [PDF]

R. Wang, J. Bian, F. Nie, and X. Li, "Unsupervised Discriminative Projection For Feature Selection," IEEE Trans. Knowl. Data Eng., vol. 34, no. 2, pp. 942-953, 2022. [PDF]

R. Wang, J. Lu, Y. Lu, F. Nie, X. Li, "Discrete And Parameter-Free Multiple Kernel k-Means," IEEE Trans. Image Process., vol. 31, pp. 2796-2808, 2022. [PDF]

Z. Hu, S. Hao, F. Nie, R. Wang*, X. Li, "Learning to Hash Based on Angularly Discriminative Embedding," Inf. Sci., vol. 579, pp.541-552, 2021. [PDF]

Z. Hu, D. Wu, F. Nie, R. Wang*, "Generalization Bottleneck in Deep Metric Learning," Inf. Sci., vol. 581, pp. 249-261, 2021. [PDF]

Z. Hu, F. Nie, R. Wang*, X. Li, "Low Rank Regularization: A review," Neural Networks, vol. 136, pp. 218-232, 2021. [PDF]

R. Wang, J. Lu, Y. Lu, F. Nie, and X. Li, "Discrete Multiple Kernel K-Means," in Proc. IJCAI, pp. 3111-3117, 2021. [PDF]

Z. Wang, F. Nie, R. Wang*, H. Yang, X. Li, "Local Structured Feature Learning With Dynamic Maximum Entropy Graph," Pattern Recognit., vol. 111, pp. 107673, 2021. [PDF]

R. Wang, H. Hu, F. He, F. Nie, S. Cai, and Z. Ming, "Self-Weighted Collaborative Representation For Hyperspectral Anomaly Detection," Signal Process., vol. 177, pp. 107718, 2020. [PDF]

Z. Hu, F. Nie, R. Wang*, X. Li, "Multi-View Spectral Clustering via Integrating Nonnegative Embedding And Spectral Embedding," Inf. Fusion, vol. 55, pp. 251-259, 2020. [PDF]

R. Wang, F. Nie, Z. Wang, F. He, and X. Li, "Multiple Features And Isolation Forest-Based Fast Anomaly Detector For Hyperspectral Imagery," IEEE Trans. Geosci. Remote. Sens., vol. 58, no. 9, pp. 6664-6676, 2020. [PDF]

R. Wang, F. Nie, Z. Wang, H. Hu, and X. Li, "Parameter-Free Weighted Multi-View Projected Clustering With Structured Graph Learning," IEEE Trans. Knowl. Data Eng., vol. 32, no. 10, pp. 2014-2025, 2019. [PDF]

R. Wang, F. Nie, Z. Wang, F. He, and X. Li, "Scalable Graph-based Clustering With Nonnegative Relaxation For Large Hyperspectral Image," IEEE Trans. Geosci. Remote. Sens., vol. 57, no. 10, pp. 7352-7364, 2019. [PDF]

R. Wang, F. Nie, and W. Yu, "Fast Spectral Clustering With Anchor Graph For Large Hyperspectral Images," IEEE Geosci. Remote. Sens. Lett., vol. 14, no. 11, pp. 2003-2007, 2017. [PDF]

R. Wang, F. Nie, R. Hong, X. Chang, X. Yang, and W. Yu, "Fast And Orthogonal Locality Preserving Projections For Dimensionality Reduction,"IEEE Trans. Image Process., vol. 26, no. 10, pp. 5019-5030, 2017. [PDF]

R. Wang, X. Yang, F. Gao, and M. Yao, "Robust 2DPCA With Non-Greedy L1-norm Maximization For Image Analysis," IEEE Trans. Cybern., vol. 45, no. 5, pp. 1108-1112, 2014. [PDF]

R. Wang, M. Yao, D. Zhang, and H. Zou, "A Novel Orthonormalization Matrix Based Fast And Stable DPM Algorithm For Principal And Minor Subspace Tracking," IEEE Trans. Signal Process., vol. 60, no. 1, pp. 466-472, 2011. [PDF]

R. Wang, M. Yao, Z. Cheng, and H. Zou, "Interference Cancellation In GPS Receiver Using Noise Subspace Tracking Algorithm," Signal Process., vol. 91, no. 2, pp. 338-343, 2011. [PDF]

R. Wang, M. Yao, D. Zhang, and H. Zou, "Stable And Orthonormal OJA Algorithm With Low Complexity," IEEE Signal Process. Lett., vol. 18, no. 4, pp. 211-214, 2011. [PDF]