Gang Wang

Gang Wang
Gang Wang

Gang Wang is an adjunct research scientist who worked full time at ADSC until November 2014. He is also an Assistant Professor at Nanyang Technological University. He received his bachelor's degree from the Harbin Institute of Technology in 2005, and his Ph.D. degree at the University of Illinois at Urbana-Champaign in 2010. He is a recipient of the Harriett & Robert Perry fellowship and the CS/AI award at the University of Illinois at Urbana-Champaign.

Research Interests: Computer vision and machine learning.

ADSC Project:

Education:

  • Ph.D., University of Illinois at Urbana-Champaign, 2010
  • B.Eng., Harbin Institute of Technology, 2005

Experience:

  • Graduate Research Assistant, University of Illinois at Urbana-Champaign, Aug. 2006-Nov. 2010
  • Summer Research Intern, Adobe Research Labs, May-July 2010
  • Summer Research Intern, Kodak Research Laboratories, May-Aug. 2009
  • Summer Research Intern, Microsoft Research, Redmond, May-Aug. 2008

Publications and Patents:

  1. Gang Wang, Andrew Gallagher, and Jiebo Luo, "Seeing people in social context: Recognizing people and social relationships with social context," European Conference on Computer Vision (ECCV), 2010.
  2. Gang Wang, David Forsyth, and Derek Hoiem, "Comparative object similarity for improved recognition with few or zero examples," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
  3. Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Joshi, and Jiawei Han, "iRIN: Image retrieval in ImageRich Information Network," International World Wide Web Conference (WWW), 2010.
  4. Gang Wang, Derek Hoiem, and David Forsyth, "Building text features for image classification," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
  5. Gang Wang, Derek Hoiem, and David Forsyth, "Learning image similarity from Flickr groups using stochastic intersection kernel machines," International Conference on Computer Vision (ICCV), 2009.
  6. Gang Wang and David Forsyth, "Joint learning of visual attributes, object classes and visual saliency," International Conference on Computer Vision (ICCV), 2009.
  7. Gang Wang and David Forsyth, "Object image retrieval by exploiting online knowledge resources," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
  8. Qingxiong Yang, Xin Chen, and Gang Wang, "Web 2.0 dictionary," ACM International Conference on Image and Video Retrieval (CIVR), 2008.
  9. Li-Jia Li, Gang Wang, and Li Fei-Fei, "OPTIMOL: Automatic Object Picture collection via Incremental MOdel Learning," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
  10. Gang Wang, Ye Zhang, and Li Fei-Fei, "Using dependent regions for object categorization in a generative framework," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
  11. D. A. Forsyth, T. Berg, C. Alm, A. Farhadi, J. Hockenmaier, N. Loeff, and G. Wang, "Words and picture: Categories, modifiers, depiction and iconography," Object Categorization: Computer and Human Vision Perspectives, Cambridge University Press, 2009.
  12. Tamara L. Berg, Alexander Sorokin, Gang Wang, David Forsyth, Derek Hoiem, Ian Endres, and Ali Farhadi, "It's all about the data," Proceedings of the IEEE, 2010.