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Rong Wang, Associate Professor
 

Personal Profile

     

Rong Wang, Associate Professor

Scholar Homepages:[DBLP] | [NWPU]

Research Interests: His current research interests include machine learning and signal processing, together with their applications including pattern recognition, image processing.

Contact Address: P.O. Box 64, 127 West Youyi Road, Beilin District, Xi'an 710072, Shaanxi, P.R. China

Zip Code: 710072

E-mail: wangrong07@tsinghua.org.cn

 

Education Background

He received the B.E. degree in information engineering, the M.E. degree in signal and information processing, and the Ph.D. degree in computer science from Xi'an Research Institute of Hi-Tech, Xi'an, China, in 2004, 2007, and 2013, respectively. From 2007 to 2013, he was also with the Department of Automation, Tsinghua University, Beijing, China, for the Ph.D. degree.

 

Work Experience

He is an associate professor at Northwestern Polytechnical University in China.

                         
 

Representative Papers

  1. 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]

  2. 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]

  3. 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]

  4. 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]

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

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

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

  8. 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]

  9. 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]

  10. 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]

  11. 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]

  12. 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]

  13. 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]

  14. 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]

  15. 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]

  16. 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]

  17. 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]

  18. 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]

  19. 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]

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