师资队伍

副教授
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王榕 副教授

个人简介

     

王榕：副教授，博士生导师

学术主页：[DBLP] | [学校官方主页]

研究方向：多模态认知计算

联系地址：陕西省西安市碑林区友谊西路127号西北工业大学友谊校区毅字楼709房间

邮政编码：710072

电子邮箱：wangrong07@tsinghua.org.cn

 
 

工作经历

2021-至今西北工业大学光电与智能研究院副教授、博导
2018-2020西北工业大学光学影像分析与学习中心副教授、硕导
2013-2018火箭军工程大学作战保障学院教员

 

 

代表工作

  1. Z. Zhao, X. Hui, H. Chen, T. Wang, R. Wang*, and F. Nie, "Fuzzy Clustering via Orthogonal Tensor Decomposition on High-Order Anchor Graphs," IEEE Trans. Fuzzy Syst., vol. 33, no. 9, pp. 2987-3000, 2025. [PDF]

  2. Z. Cao, Y. Lu, H. Xin, C. Yu*, R. Wang*, and F. Nie, "Spatial-Spectral Bipartite Graph Clustering With Low-Frequency Tensor Regularization for Hyperspectral and LiDAR Data," IEEE Trans. Geosci. Remote Sens., vol. 63, pp. 1-17, 2025. [PDF]

  3. Z. Zhao, D. Wu, R. Wang*, Z. Wang*, F. Nie, and X. Li, "Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning," IEEE Trans. Knowl. Data Eng., vol. 37, no. 8, pp. 4649-4663, 2025. [PDF]

  4. Z. Zhao, T. Wang, H. Xin, R. Wang*, and F. Nie, "Multi-view Clustering via High-order Bipartite Graph Fusion," Inf. Fusion, vol. 113, 2025. [PDF]

  5. X. Zheng, Y. Lu, R. Wang*, F. Nie, and X. Li, "Structured graph-based ensemble clustering," IEEE Trans. Knowl. Data Eng., vol. 37, no. 6, pp. 3728-3738, 2025. [PDF]

  6. J. Wang, J. Wang, G. He, Z. Wang*, R. Wang*, F. Nie, and X. Li, "Manifold-aligned consistency contrastive learning for noise-tolerant hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 63, pp. 1-17, 2025. [PDF]

  7. H. Xin, D. Wu, J. Lu, R. Wang*, F. Nie, and X. Li, "Multiview clustering via block diagonal graph filtering," IEEE Trans. Neural Netw. Learn. Syst., vol. 36, no. 8, pp. 14269-14282, 2025. [PDF]

  8. Z. Cao, H. Xin, R. Wang*, and F. Nie, "Superpixel-based bipartite graph clustering enriched with spatial information for hyperspectral and LiDAR data," IEEE Trans. Geosci. Remote Sens., vol. 63, pp. 1-15, 2025. [PDF]

  9. Z. Cao, Y. Lu, J. Yuan, H. Xin, R. Wang*, and F. Nie, "Tensorized graph learning for spectral ensemble clustering," IEEE Trans. Circuits Syst. Video Technol., vol. 35, no. 3, pp. 2662-2674, 2025. [PDF]

  10. Zhao, Z. Cao, H. Xin, R. Wang*, D. Wu, and Z. Wang, "Enhancing clustering performance with tensorized high-order bipartite graphs: A structured graph learning approach," IEEE Trans. Circuits Syst. Video Technol., vol. 35, no. 3, pp. 2616-2631, 2025. [PDF]

  11. H. Xin, Z. Hao, Z. Sun, R. Wang*, Z. Miao*, and F. Nie, "Multi-view and multi-order graph clustering via constrained l1,2-norm," Inf. Fusion, vol. 102, 2024. [PDF]

  12. Z. Zhao, F. Nie*, R. Wang*, Z. Wang, and X. Li, "A Balanced and Scalable Graph-Based Multiview Clustering Method," IEEE Trans. Knowl. Data Eng., vol. 36, no. 12, pp. 7643-7656, 2024. [PDF]

  13. R. Wang, P. Wang, D. Wu, Z. Sun, F. Nie, and X. Li, "Multi-view and multi-order structured graph learning," IEEE Trans. Neural Netw. Learn. Syst., vol. 35, no. 10, pp. 14437-14448, 2024. [PDF]

  14. Z. Zhao, R. Wang*, Z. Wang, F. Nie, and X. Li, "Graph joint representation clustering via penalized graph contrastive learning," IEEE Trans. Neural Netw. Learn. Syst., vol. 35, no. 12, pp. 17650-17661, 2024. [PDF]

  15. R. Wang, H. Chen, Y. Lu, Q. Zhang, F. Nie, and X. Li, "Discrete and balanced spectral clustering with scalability," IEEE Trans. Pattern Anal. Mach. Intell., vol. 45, no. 12, pp. 14321-14336, 2023. [PDF]

  16. 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]

  17. 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]

  18. 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]

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

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

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

  22. 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]

  23. 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]

  24. 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]

  25. 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]

  26. 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]

  27. 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]

  28. 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]

  29. 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]

  30. 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]

  31. 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]

  32. 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]

  33. 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]


[更多文章]

 

 

科研项目

  • 国家自然科学基金面上项目，主持

  • 国家重点研发计划，子课题负责人

  • 国家自然科学基金重点项目，合作单位负责人

  • 国家自然科学基金青年基金，主持

  • 陕西省自然科学基础研究计划面上项目，主持

荣誉获奖

  • 中国国际大学生创新大赛（2025）国赛金奖，灵络-基于多模态数据与因果推断的消费级神经接口，第一指导教师；[新闻]

  • 中国国际大学生创新大赛优秀指导教师奖。

学术活动

  • 担任中国自动化学会模式识别与机器智能专业委员会委员；担任中国人工智能学会模式识别专业委员会委员；

  • 担任国际知名会议 NeurIPS、ICML、ICLR等程序委员；担任国际知名期刊 IEEE TPAMI、IEEE TIP、IEEE TKDE等审稿人。

其它信息

  • 每年均招收博士研究生、硕士研究生，请通过邮件联系具体事宜，并附上个人简历。

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