I am a Ph.D. candidate in the Department of Electrical and Computer Engineering at the University of Maryland.
My research focus on computer vision, machine learning, and pattern recognition, and their broad range of applications in large-scale data processing and data mining.
My advisors are Dr. Rama Chellappa and Dr. David Doermann.
I interned at Google in 2009 and worked at Yahoo! Search and Advertising Sciences in 2008.
In 2006, I worked at IBM Almaden Research Center as research intern.
Learning Session Context Models to Enrich Web Search Ranking
Guangyu Zhu and Gilad Mishne Under review for ACM Transactions on the Web.
Logo Detection and Matching for Document Image Retrieval
Guangyu Zhu and David Doermann Under review for International Journal on Document Analysis and Recognition.
Mining Rich Session Context to Improve Web Search
Guangyu Zhu and Gilad Mishne
in Proceedings of 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2009), Paris, France, 2009. (Research track, full presentation)
Logo Matching for Document Image Retrieval
Guangyu Zhu and David Doermann
in Proceedings of 10th International Conference on Document Analysis and Recognition (ICDAR 2009), Barcelona, Spain, 2009. (Oral Presentation)
Signature-based Document Image Retrieval
Guangyu Zhu, Yefeng Zheng and David Doermann
in Proceedings of 10th European Conference on Computer Vision (ECCV 2008).
Unconstrained Language Identification Using A Shape Codebook
Guangyu Zhu, Xiaodong Yu, Yi Li and David Doermann
in Proceedings of 11th International Conference on Frontiers in Handwriting Recognition (ICFHR 2008), Montreal, Canada, August 2008 (Oral Presentation).