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Zhongfei (Mark) Zhang is an Associate Professor of Computer Science
at State University of New York (SUNY) at Binghamton.
He directs the Multimedia
Research Laboratory at Binghamton.
He has a B.S. (cum laude) in Electronics Engineering,
an M.S. in Information Science, both from Zhejiang University,
Hangzhou, China, and a Ph.D. in Computer Science from the
University of Massachusetts at Amherst. When he was in the graduate school, he also
worked as an Intern student at NEC Research Institute, Inc. at
Princeton, NJ, and as a technical consultant
at Applied Artificial Intelligence, Inc. (formerly Amerinex
Artificial Intelligence, Inc.) at Amherst, MA.
He was a research scientist of the Center
of Excellence for Document Analysis and Recognition
and was in the faculty of the Dept. of
Computer Science and Engineering, both at SUNY
Buffalo. He joined the faculty of Computer Science Dept. at SUNY
Binghamton in the Fall of 1999.
He has published over 100 peer-reviewed academic
papers in international and national journals and conferences
and several invited papers and book chapters,
has edited or co-edited two books,
has served as reviewers or program committee members
for many international journals and conferences, and has served as grant
review panelists for several governmental and private funding agencies including
NSF and NASA.
His research is supported by federal and state governments, noticeably
including NSF,
AFOSR, and
AFRL.
He is a Senior Member of IEEE, a
member of IEEE Computer Society
and a member
of ACM.
He is an Associate Editor for Pattern Recognition, and
Guest Editors for
IEEE Transactions
on Multimedia and ACM Multimedia
Systems Journal.
Research Interests
Multimedia Information Indexing and Retrieval, Data Mining and Knowledge
Discovery, Computer Vision and Image Understanding,
Pattern Recognition, Medical Imaging, and Bioinformatics.
Courses taught
Selected Publications
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Xi Li, Weiming Hu, Zhongfei (Mark) Zhang, Xiaoqin Zhang, and Quan Luo, Robust Visual Tracking Based on Incremental Tensor Subspace Learning, Proc. the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil, October, 2007
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Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, and Philip S. Yu, Community Learning by Graph Approximation, Proc. the IEEE International Conference on Data Mining, Omaha, NE, USA, October, 2007
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Bo Long, Zhongfei (Mark) Zhang, and Philip S. Yu, A Probabilistic Framework for Relational Clustering, Proc. the 13th ACM International Conference on Knowledge Discovery and Data Mining, San Jose, CA, USA, August, 2007
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Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, and Christos Faloutsos, Enhanced Max Margin Learning on Multimodal Data Mining in a Multimedia Database, Proc. the 13th ACM International Conference on Knowledge Discovery and Data Mining, San Jose, CA, USA, August, 2007
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Bo Long, Zhongfei (Mark) Zhang, and Philip S. Yu, Graph Partitioning Based on Link Distribution, Proc. the 22nd Annual Conference on Artificial Intelligence (AAAI-07), Vancouver, British Columbia, Canada, July, 2007
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Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, and Christos Faloutsos, A Max Margin Framework on Image Annotation and Multimodal Image Retrieval, Proc. the IEEE Annual International Conference on Multimedia and Expo, Beijing, China, July, 2007
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Bo Long, Zhongfei (Mark) Zhang, and Philip S. Yu, Relational Clustering by Symmetric Convex Coding, Proc. the 24th Annual International Conference on Machine Learning, Oregon State University, OR, USA, June, 2007
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Ruofei Zhang and Zhongfei (Mark) Zhang, Effective Image Retrieval Based on Hidden Concept Discovery in Image Database, IEEE Transaction on Image Processing, Volume 16, Number 2, February, 2007, pp 562 -- 572
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