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Yu Qian
Ph.D.
qianyu_utd AT acm.org
(replace AT with @)
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Education
Advisors: Prof. Kang Zhang,
Prof. Richard Scheuermann.
Dissertation: Pattern Discovery in
Spatial, Image, and Biological Data [abstract].
Experiences
Research
My research focuses on data mining and pattern discovery techniques and their applications
in spatial, image, and biological data. Topics I am especially interested in
include: preprocessing, noise removal, compression, clustering, pattern
identification, and related visualization and graph drawing techniques. Most of
my proposed techniques are implemented into FACADE, a novel clustering system that can discover implicit patterns in noisy environment efficiently, accurately, and automatically. Please click here to understand what I have done.
Awards
First Place Award in the Graduate-level Student
Research Review and Competition 2005 of
The Erik Jonsson School of Engineering and Computer Science for my presentation: FACADE: Fast and Accurate Spatial Pattern Discovery.
Publications
Yu Qian, Kang Zhang, and D. T. Huynh, PatZip: Pattern-Preserved Spatial Data Compression, Proc. of 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'05), Hanoi, Vietnam, 18-20 May 2005, LNCS, Springer-Verlag, pp. 726-736.
Yu Qian, Kang Zhang, and Fang Qiu, Spatial Contextual Noise
Removal for Post Classification Smoothing of Remotely
Sensed Images, Proc. 20th Annual ACM Symposium on Applied Computing (SAC'05),
Santa Fe, New Mexico, 13-17 March 2004, ACM Press, pp. 524-528.
Yu Qian and Kang Zhang, The Role of Visualization in
Effective Data Cleaning, Proc.
20th Annual ACM Symposium on Applied Computing
(SAC'05), Santa Fe, New Mexico, 13-17 March 2004, ACM
Press, pp. 1239-1243.
Yu Qian, Gang Zhang, and Kang Zhang, FACADE: A Fast and
Effective Approach to the Discovery of Dense Clusters
in Noisy Spatial Data (demo paper), Proc. ACM SIGMOD 2004
Conference, Paris, France, 13-18 June 2004, ACM Press,
pp. 921-922.
Yu Qian and Kang Zhang, Discovering spatial patterns
accurately with effective noise removal, Proc. 9th ACM
SIGMOD Workshop on Research Issues in Data Mining and
Knowledge Discovery (DMKD'04), Paris, France, 13 June
2004, ACM Press, pp. 43-50.
Yu Qian and Kang Zhang, Constraint-Based Graph
Clustering through Node Sequencing and Partitioning,
Proc. 8th Pacific-Asia Conference on Knowledge
Discovery and Data Mining (PAKDD'04), Sydney,
Australia, 26-28 May 2004, LNCS, Springer-Verlag, pp.
41-51.
Yu Qian and Kang Zhang, GraphZip: A Fast and
Automatic Compression Method for Spatial Data
Clustering, Proc. 19th Annual ACM Symposium on Applied
Computing (SAC'04), Nicosia, Cyprus, 14-17 March 2004,
ACM Press, pp. 571-575.
Yu Qian, Kang Zhang, and Jiannong Cao, Graph-Based Data
Clustering: Criteria and A Customizable Approach,
Proc. IDEAL'03 - 4th International Conference on
Intelligent Data Engineering and Automated Learning,
21-23 March, 2003, Hong Kong, LNCS, Springer-Verlag,
pp. 903-908.
Yu Qian and Kang Zhang, A Customizable Hybrid Approach to
Data Clustering, Proc. 18th Annual ACM Symposium on
Applied Computing (SAC'03), Melbourne, Florida, USA,
9-12 March 2003, ACM Press, pp. 485-489.
Yu Qian and Kang Zhang, FACADE: A Fast and Effective Approach to the Discovery of Dense Clusters in Noisy Spatial Data, Technical Report UTDCS-46-03, Department of Computer Science, The University of Texas at Dallas, October 2003.
Yu Qian, Fang Qiu, and Kang Zhang, Visualization supported noise
removal and its application in the classification of high spatial resolution
remote sensing imagery, Computers and Geosciences, Elsevier, accepted Feb 2007.
Yu Qian, Kang Zhang, and Richard Scheuermann, Outline-based Clustering and Visualization of Time Series Gene Expression, in the 6th Annual Emerging Information Technology Conference, bioinformatics track (EITC'06).
Guanglei Song, Yu Qian, Ying Liu, and Kang Zhang, Oasis: a Mapping and Integration Framework for Biomedical Ontologies, in Proc. of 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS'06), Salt Lake City, Utah, June 2006.
Quang Vin Nguyen, Maolin Huang, Yu Qian and Kang Zhang, A Technique for Visualizing Dihedral Signal of Large Protein Sequences", in Proc. of 3rd International Conference on Computer Graphics, Imaging and Visualization (CGIV'06), IEEE, Sydney, Australia, July 2006.
Personal
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