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Ning Zhou


Computer Vision Lab, GE Global Research

Short Bio

I am currently a Research Scientist at the Computer Vision Lab, GE Global Research. I received my Ph.D. in Computer Science from UNC Charlotte, in 2013. From December, 2007 to July, 2008, I worked as a visiting student at Hong Kong Baptist University (HKBU) with Dr. William K. Cheung from HKBU and Dr. Guoping Qiu from the University of Nottingham. During the summers in 2011, 2012 and 2013, I worked as a research intern at AT&T Labs Research, the Dept. of Media Analytics at NEC Lab and the Computer Vision Lab at GE Global Research Center, respectively.

Research Interests

  • Object Recognition 
  • Image Categorization
  • Collaborative Filtering

Selected Publications [Google Scholar]

  1. N. Zhou, and J. Fan,  "Jointly Learning Visually Correlated Dictionaries for Large-scale Visual Recognition Applications", IEEE Transactions on Pattern Analysis and  Machine Intelligence (TPAMI), vol.36, no.4, pp.715-730, April 2014.  [PDF]
  2. N. Zhou, A. Angelova and J. Fan, "Generalized Feature Learning and Indexing for Object Localization and Recognition", IEEE Winter Conf. on Applications of Computer Vision (WACV'14), 2014. [PDF]
  3. N. Zhou, Y. Shen, J. Peng, J. Fan, "Learning Inter-related Visual Dictionary for Object Recognition",  IEEE Conference on Computer Vision and Pattern Recognition (CVPR'12), 2012. [PDF]
  4. J. Fan, X. He, N. Zhou, J. Peng, R. Jain, "Quantitative Characterization of Semantic Gaps for Learning Complexity Estimation and Inference Model Selection", IEEE Transactions on Multimedia (TMM), 2012. [PDF]
  5. E. Zavesky, Z. Liu, N. Zhou and B. Shahraray, "AT&T Research at TRECVID 2011", NIST TRECVID Workshop, 2011
  6. N. Zhou, W. K. Cheung G. Qiu and X. Xue,  "A Hybrid Probabilistic Model for Unified Collaborative and Content-based Image Tagging", IEEE Transactions on Pattern Analysis and  Machine Intelligence (TPAMI), vol. 33, no. 7, pp. 1281-1294, July 2011.  [PDF]
  7. N. Zhou, and J. Fan, “Leveraging Auxiliary Text Terms for Automatic Image Annotation”, (Poster Paper), Proc. of 2011 Int. World Wide Web Conf. (WWW’11), Hyderabad, India. [PDF
  8. J. Fan, Y. Shen, N. Zhou and Y. Gao, “Harvesting Large-scale Weakly-tagged Image Databases from the Web”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'10), 2010. [PDF]
  9. N. Zhou, Y. Shen, J. Fan, "Automatic Image Annotation by Using Relevant Keywords Extracted from Auxiliary Text Documents", ACM Workshop on Very-Large-Scale Multimedia Corpus, Mining and Retrieval (VLS-MCMR’10), In conjunction with ACM Multimedia, Firenze, Italy, 2010. [PDF
  10. N. Zhou, J. Peng, X. Feng and J. Fan, "Towards More Precise Social Image-Tag Alignment", invited paper, The 17th International Multimedia Modeling Conference (MMM'10), Taipei, Taiwan, 2010. 
  11. N. Zhou, W. K. Cheung, X. Xue and G. Qiu, "Collaborative and Content-based Image Labeling", In Proceedings of the 19th International Conference on Pattern Recognition (ICPR'08), Tampa, Florida, USA, December 2008.  [PDF

Teaching Duties