Chris Ding - Recent Talks / Presentations
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Carnegie Mellon University.
School of Computer Science . Feburary 23, 2009.
Nonnegative Matrix Factorization for Clustering and Combinatorial Optimizations
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Hong Kong Baptist University, Hong Kong.
Department of Mathematics. April 22, 2008.
Nonnegative Matrix Factorization for Data Clustering.
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Universityof Science and Technology, China.
Department of Computer Science,
April 19, 2008.
Spectral Clustering
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Chinese Academy of Scicences.
Institute of Applied Mathematics, April 16, 2008.
Protein Interaction Module Detection Using Graph Algorithms
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Tsinghua University, China.
Department of Computer Science,
April 14, 2008.
Spectral Clustering
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Tsinghua University, China.
Department of Automation,
April 15, 2008.
Nonnegative Matrix Factorization for Data Clustering
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National University of Singapore,
School of Computing. March 26, 2007.
Protein Interaction Module Detection Using Matrix-Based Graph Algorithms
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National University of Singapore,
Department of Mathematics. March 27, 2007.
Nonnegative Matrix Factorization for Data Clustering
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Chinese University of Hong Kong, Hong Kong,
Computer Science Department.
December 22, 2006.
Protein Interaction Module Detection Using Spectral Clustering
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Chinese University of Hong Kong, Hong Kong,
Department of Mathematics. December 22, 2006.
Convex and Semi-Nonnegative Matrix Factorization for Data Clustering.
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University of California at Berkeley.
Computer Science Department. November 30, 2006.
2D Singular Value Decomposition for 2D Maps and Images.
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Florida International University,
School of Computer and Information Science, October 20, 2006.
Distinguished Lecture.
Protein Interaction Module Detection Using Graph Algorithms
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Google Research,
September 29, 2006.
Nonnegative Matrix Factorization and Spectral Clustering
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Int'l Conference on Knowledge Discovery and Data Mining (KDD'06),
Philadelphia, August 20 - 23, 2006.
Orthogonal Nonnegative Matrix Tri-Factorization
for Clustering
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IBM Watson Research Center.
July 19, 2006.
Spectral Clustering
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Int'l Conference on Machine Learning (ICML'06),
Pittsburgh, June 25-29, 2006.
Rotational Invarient L-1 Norm Principal Component Analysis for
Robust Subspace Fractorization.
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Stanford Workshop on Algorithms for Modern Massive Data Sets,
June 21-24, 2006.
On the Equivalence of Semi-Nonnegative Matrix Factorization and K-means
Clustering
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University of Texas at Dallas.
Computer Science Department, March 30, 2006.
Protein Interaction Module Detection Using Graph Algorithms
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University of California at Riverside.
Computer Science Department,
Friday, March 3, 2006.
Protein Interaction Module Detection Using Graph Algorithms
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European Conf. Machine Learning (ECML'05) and
Principles and Practice of Knowledge Discovery in Databases (PKDD'05).
Porto, Portugal, October 3-7, 2005.
Cluster Aggregate Inequality and Multi-Level Hierarchical Clustering
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SIAM Int'l Conference on Data Mining.
April 21-23, 2005.
2D Singular Value Decomposition for 2D maps and Images.
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SIAM Int'l Conference on Data Mining.
8th Int'l Workshop on High Performance and Distributed Mining
(HPDM'05),
April 23, 2005.
Keynote Speaker.
Spectral Clustering
and its Applications in Web/Text and Genomics.
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University of California at Berkeley.
Computer Science Department. March 8th, 2005.
Link Analysis and Topic Discovery via Spectral Clustering
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University of Illinois at Chicago.
Computer Science Department. February 16, 2005.
Link Analysis and Topic Discovery via Spectral Clustering
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University of Northern Illinois.
Computer Science Department. February 15, 2005.
Multi-protein Complex Data Clustering for Detecting Protein Interactions
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Stanford University.
Computer Science Department. January 10, 2005.
2-dimensional Singular Value Decomposition for 2D maps and Images.
(Abstract)
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Carnegie Mellon University.
Computer Science Department. November 19, 2004.
Spectral Clustering
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University of Alberta,
Computer Science Department.
Edmonton, Canada.
October 22, 2004.
Web Link Analysis and Topic Discovery
Spectral Clustering
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Hong Kong University of Science and Technology,
Computer Science Department.
June 28, 2004.
Recent Advances in Spectral Clustering
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University of Hong Kong,
Department of Mathematics.
June 25, 2004.
Multi-protein Complex Data Clustering for Detecting Protein
Interactions
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Beijing University,
China. Center for Theoretical Biology.
June 17, 2004.
Multi-protein Complex Data Clustering for Detecting Protein
Interactions and Functional Organizations
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Univ of California Berkeley.
Berkeley Initiative on Soft Computing, Int'l Workshop
on soft computing for internet and bioinformatics. December 15-19, 2003.
Principal Component and Self-aggregation Clustering of
Gene Expressions and Protein Interactions.
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Univ of California Davis,
Department of Computer Science,
March 27, 2003.
Spectral Data clustering and Applications in
Web analyis and Genomics
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IEEE Data Mining Conference.
Bioinformatics Panel Discussion.
Dec 10, 2002.
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U.C. Berkeley.
Computer Science Dept Seminar. April 25, 2002
Web Community Discovery via Unsupervised Learning.
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RECOMB 2002, April. 18, 2002
Analysis of gene expression profiles: class discovery and leaf ordering
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Supercomputing 2001, Nov. 15, 2002
A Ghost Cell Expansion Method for Reducing Communications in Solving PDE
Problems
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SIAM 50th Annual Conference. July 10. 2002.
Analysis of spectral clustering and projection matrix method
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U.C. Davis,
Dept of Computer Science,
November 9, 2000.
Dimensionality Reduction in Information
Retrieval and Filtering,
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7th SIAM Applied Linear Algebra Conferecen,
Compututional Information Retrieval Workshop.
Oct 22, 2000.
A Probabilistic Model for LSI/SVD in Information Retrieval
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First SIAM Data Mining Conference,
Workshop on Data Mining for Genomics. April 8. 2001.
Support Vector Machines and its Application in Protein Fold Predictions.
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Stanford University.
Department of Computer Science. May 10, 2000.
A Probabilistic Model for LSI/SVD in Information Retrieval.
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Data Assimilation Office,
Goddard Space Flight Center. March 29, 2000.
Using Accurate Arithmetics to Improve Numerical Reproducibility and
Stability in Parallel Applications.