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©Copyright 2010-11 H. Yang
All rights reserved.
Last update: 2/2012
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Publications
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Mapping
Biomedical Entities to MeSH to Recognize
Hierarchical Relationships, Yan Dong and Hui
Yang, the 4th International
Conference on Bioinformatics and Computational
Biology (BICoB 2012), Las Vegas,
March 2012 |
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Dependency
Parsing for Extracting Family History, Neal
Lewis, Daniel Gruhl (IBM Almaden), and Hui Yang, the
First IEEE International
Conference on Healthcare Informatics, Imaging and
Systems Biology (HISB 2011), July 2011, San Jose,
CA.
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Mining
biomedical text towards building a quantitative
food-disease-gene networks, Hui Yang, Rajesh
Swaminathan, Abhishek Sharma, Vilas Ketkar and Jason
D‘Silva, a chapter in the book <Learning
structures and schemas from documents>, Springer
Engineering Book Series, Editors: Marenglen Biba and
Fatos Xhafa
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Extracting
Family History Diagnoses From Clinical Texts,
Neal Lewis, Daniel Gruhl (IBM Almaden), and Hui
Yang, the 3rd
International Conference on Bioinformatics and
Computational Biology (BICoB 2011), New Orleans,
March 2011
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Identification and
Applications of Three-dimensional Non-local
Structural Motifs in Protein Folding Data, Hui Yang,
Lin Han and Saurabh Gupte, accepted as a
chapter in the book to <Sequence and Genome
Analysis: Methods and Application>, iConcept
Press (Manuscript)
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A
Verb-centric Approach for Relationship Extraction
in Biomedical Text, Abhishek Sharma, Rajesh
Swaminathan,and Hui Yang, The fourth IEEE
International Conference on Semantic Computing
(ICSC2010), September, 2010, Pittsburg, PA
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Opinion
Mining for Biomedical Text Data: Feature Space
Design and Feature Selection, Rajesh
Swaminathan, Abhishek Sharma, and Hui Yang, the
Nineth International Workshop on Data Mining in
Bioinformatics (BIOKDD 2010), Washington DC, July,
2010
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On
building
a quantative food-disease-gene network, Hui Yang,
Abhishek Sharma, Rajesh Swaminathan and Vilas
Ketkar, the 2nd
International Conference on Bioinformatics and
Computational Biology (BICoB 2010), Hawaii,
March, 2010
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Folding-aware
and
structure-conscious 3D substructres in Folding
Data: Identification and Applications, Hui Yang,
Saurabh Gupte, Runtang Wang and Rahul Parte,
the 2nd International Conference on
Bioinformatics and Computational Biology
(BICoB 2010), Hawaii, March, 2010
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OpenMP
in the classroom, Hui Yang and Michael
Wrinn, accepted as a workshop in SIGCSE
2010 (Special interest group for computer
science education).
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A
semi-supervised, topic-driven approach for
clustering textual answers to survey questions,
Hui Yang,
Ajay Mysore and Sharonda Wallace in the Fifth
International Conference on Advanced Data
Mining And Applications (ADMA 2009)
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An Effective
Approach for Identifying Evolving
Three-dimensiona Structural Motifs in Protein
Folding Data, Hui Yang and Lin Han The Fourth
International Conference on Advanced Data
Mining And Applications (ADMA 2008)
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XMAS: An
Experiential Approach for Visualization,
Analysis, and Exploration of Time Series
Microarray Data, Ben
Dalziel, Hui Yang, Rahul Singh, Matthew Gormley
and Susan J. Fisher
Bioinformatics Research and Development (BIRD)
2008
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An online survey to
assess nutrition practioners' training needs in
nutritional genomics(poster) , Sharonda
Wallace,Patricia Wakimoto, Hui Yang, Raymond
Rodriguez The Second Bruce Ames
International Symposium on Nutrional Genomics,
October, 2007
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Development
of
an
on-line
survey
to
assess
training
needs
in
nutritional
genomics
(Page 53), Sharonda
Wallace,
Patricia Wakimoto, Hui Yang, and Ray Rodriguez, Experimental
Biology Annual Meeting 2007
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A spatio-temporal mining approach
towards summarizing and analyzing protein
folding trajectories, Hui Yang, Srinivasan
Parthasarathy, and Duygu Ucar, Journal of
Algorithms for Molecular Biology 2007, 2:3
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Patterns in
Spatio-temporal Data, Hui Yang
and Srinivasan Parthasarathy, Encyclopedia
of Geographical Sciences (Book Chapter), 2007
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Protein
Folding Trajectories Analysis: Summarization ,
Folding Events Detection and Common Partial
Folding Pathway Identification, Hui
Yang, Srinivasan Parthasarathy and Duygu
Ucar; in proceedings of BIOKDD 2006, Philadelphia
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A Generalized Framework for Mining
Spatio-temporal Patterns in Scientific Data,
Hui Yang, Srinivasan
Parthasarathy, and Sameep Mehta, in
Proceedings of SIGKDD 2005, Chicago
(Acceptance rate = 22%)
( pdf)
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Towards Association-based
Spatio-temporal Reasoning, Hui
Yang, Srinivasan Parthasarathy, and
Sameep Mehta, inProceedings
of the 19th
International Joint Conference of Artificial
Intelligence (IJCAI) Workshop on
Spatio-temporal Reasoning, Edinburgh,
Scotland (pdf
)
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Mining Spatial Object Patterns in
Scientific Data, Hui Yang, Srinivasan
Parthasarathy, and Sameep Mehta,
in
Proceedings of the 19th International Joint
Conference of Artificial Intelligence
(IJCAI) 2005, Edinburgh, Scotland (Acceptance
rate =18%) (pdf)
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Towards
Unsupervised Correlation Preserving
Discretization, Sameep Mehta,
Srinivasan Parthasarathy, and Hui Yang, in IEEE
Transactions on Knowledge and Data
Engineering, Vol. 17, No. 8, August 2005
(pdf)
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Dynamic Classification of Defect
Structures in Molecular Dynamics Simulation
Data, Sameep Mehta, Steve
Barr, Alex Choy, Hui Yang, Srinivasan
Parthasarathy, Raghu Machiraju and John Wilkins, in
Proceedings of SIAM on Data Mining,
2005
, Newport Beach,
California (Acceptance rate = 18%)
(pdf)
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Dynamic Detection, Visualization and
Classification of Anomalous Structures in
Molecular Dynamics Simulation Data, Sameep Mehta,
Steve Barr, Alex Choy, Hui Yang,, Srinivasan
Parthasarathy, Raghu Machiraju and John Wilkins, as invited
paper to "Best of SDM05" at Interface 2005,
June 8-12, 2005, St. Louis
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Discovering Spatial Relations Between
Approximately Equivalent Patterns in Contact
Maps, Hui Yang, Keith
Marsolo, Srinivasan Parthasarathy and Sameep
Mehta, in Proceedings of the 4th Workshop
on Data Mining and Bioinformatics, ACM
SIGKDD 2004 (BIOKDD2004), Seattle, WA (Acceptance
rate = 23%) ( pdf )
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Correlation Preserving Discretization,
Sameep
Mehta, Srinivasan Parthasarathy and Hui
Yang, in IEEE International
Conference on Data Mining (ICDM) 2004, London,
U.K. (pdf)
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On the Use of Temporally
Constrained Associations for Web Log Mining,
Hui Yang and
Srinivasan Parthasarathy, a chapter in the
book "WEBKDD 2002 -Mining Web Data for
Discovering Usage Patterns and Profiles", O.R Zaiane, J. Srivastava,
M. Spiliopoulou, and B. Masand
(Eds.), ISBN: 3-540-20304-4, ©Springer-Verlag
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On the Use of
Temporally Constrained Associations for Web
Log Mining, Hui Yang, Srinivasan
Parthasarathy, and Sandeep Reddy, in
Proceedings of the fourth ACM SIGKDD Workshop on
Web Mining for Usage Patterns and User Profiles
(WEBKDD), 2002, Edmonton, Canada
(Acceptance rate = 40%) (ps)
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A Generalized
Framework for Mining Spatio-temporal Patterns
in Scientific Data, Hui
Yang, Srinivasan Parthasarathy, and
Sameep Mehta, a
technical report (OSU-CISRC-5/05-TR14)
of Department of Computer Science and
Engineering, Ohio State University, 2005 (pdf)
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Using
Temporally Constrained Associations for Web
Usage Mining, Hui
Yang,
M.Sc. Thesis, Department of
Information and Computer Science, The Ohio
State University, 2002
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