Computer Science
Shih-Fu Chang's research is focused on computer vision, machine learning, and multimedia information retrieval. A primary goal of his work is to develop intelligent systems that can extract rich information from the vast amount of visual data including those emerging on the Web, collected through pervasive sensing, or available in gigantic archives. His work on content-based visual search in the early 90's set the foundation of this vibrant area. Over the years, he has developed innovative solutions for image/video recognition, multimodal analysis, multimedia ontology, image forensics, and compact hashing for large-scale search.
- Visiting faculty, Microsoft Research, Beijing, 2006
- Visiting faculty, IBM T. J. Watson Research Center, 2004–2006
- Senior executive vice dean of engineering, Columbia University, 2015–
- Senior vice dean of engineering, Columbia University, 2012–2015
- Chief Technical Advisor, VidRovr Inc., 2016-
- Chief Technical Advisor, Axon Image Inc., 2015-
- Richard Dicker Chair Professor, Columbia University, 2011–
- Professor of computer science, Columbia University, 2011–
- Chair of electrical engineering, Columbia University 2007–2010
- Professor of electrical engineering, Columbia University, 2002–2011
- Associate professor of electrical engineering, Columbia University, 1997–2002
- Assistant professor of electrical engineering, Columbia University, 1993–1997
- Fellow of the American Association for the Advancement of Science
- Fellow of the Institute of Electrical and Electronics Engineers
- Fellow of Association of Computing Machinery (ACM)
- Fellow, Association for Computing Machinery, 2017
- Honorary Doctorate, University of Amsterdam, 2016
- Most Influential Scholar in the Field of Multimedia, AMiner, 2016
- Great Teacher Award, The Society of Columbia Graduates, 2013
- Technical Achievement Award, IEEE Signal Processing Society, 2012
- Technical Achievement Award, ACM Special Interest Group in Multimedia, 2011
- Kiyo Tomiyasu Award, IEE, 2009
- Young Investigator Award, Office of Naval Research, 1998–2001
- Career Award, National Science Foundation, 1995–1998
- Liu, Wei, Jun Wang, Rongrong Ji, Yu‐Gang Jiang, and Shih‐Fu Chang. "Supervised hashing with kernels." In Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, pp. 2074‐2081, 2012.
- Wu, Xiao‐Ming, Zhenguo Li, Anthony M. So, John Wright, and Shih‐Fu Chang. "Learning with partially absorbing random walks." In Advances in Neural Information Processing Systems (NIPS), pp. 3077‐3085. 2012.
- Wang, Jun, Tony Jebara, and Shih‐Fu Chang. "Semi-supervised learning using greedy max‐cut." Journal of Machine Learning Research 14, no. Mar (2013): 771‐800.
- Ye, Guangnan, Yitong Li, Hongliang Xu, Dong Liu, and Shih‐Fu Chang. "Eventnet: A large scale structured concept library for complex event detection in video." In Proceedings of ACM international conference on Multimedia, pp. 471‐480. ACM, 2015.
- Borth, Damian, Rongrong Ji, Tao Chen, Thomas Breuel, and Shih‐Fu Chang. "Large‐scale visual sentiment ontology and detectors using adjective noun pairs." In Proceedings of ACM international conference on Multimedia, pp. 223‐232. ACM, 2013.
- Smith, John R., and Shih‐Fu Chang. "VisualSEEk: a fully automated content‐based image query system." In ACM international conference on Multimedia, pp. 87‐98. ACM, 1997.