Homepage of Chris H.Q. Ding

Chris H.Q. Ding

photo of Chris Ding
Professor
Department of Computer Science and Engineering
University of Texas at Arlington
Nedderman Hall, Room 307
416 Yates Street, Arlington, TX 76019
Phone: 817-272-7041. FAX: 817-272-3784. Email: CHQDing at uta.edu

NEWS: KDD 2008 Workshop on Data Mining Using Matrices and Tensors(DMMT08), Las Vegas, USA, August 24, 2008.

Publications -- Citations -- Presentations -- Teaching/CSE2315 -- CSE Colloquium -- Biography

Tutorials ......

Bioinformatics and Bioimage Analysis (Link), November 2005

Principal Component Analysis and Matrix Factorizations for Learning (Link), August 2005

Spectral Clustering (Link), July 2004

Bioinformatics and Machine Learning Methods (Link), November 2003

Machine Learning and Statistics

Bioinformatics and Computational Biology

Protein Fold Recognition, Gene expression clustering and ordering
Minimum Redundancy - Maximum Relevance (mRMR) Feature Selection
Gene Regulation Network, Protein Complex Detection

Information Retrieval

Link Analysis, Web clustering, Latent Semantic Indexing

High Performance Computing

Professional Service ......

Associate Editor for Int'l Journal of Data Mining and Bioinformatics (Link)
6th Computational Systems Bioinformactics Conference (CSB'07), Program Committee
Int'l Conf. on Knowledge Discovery and Data Mining (KDD'07), Program Committee
European Conf. on Machine Learning (ECML'06), Program Committee
Int'l Conf. on Knowledge Discovery and Data Mining (KDD'06), Program Committee Senior Member
Int'l Conf. on Machine Learning (ICML'06), Program Committee

Proposal Review/Panels ......

National Science Foundation, Computer & Information Sciencen and Engineering.
April 2004; March, April 2005; July 2006; February, April 2007 ...
National Science Foundation of Ireland, 2005.
Research Grants Council of Hong Kong, 2007.

Publications ...... ( 10 most cited papers )

Book: Spectral Clustering, Ordering and Ranking --- Statistical Learning with Matrix Factorizations
by Chris Ding and Hongyuan Zha.
Publisher: Springer. Approx. 400 p. 60 illus., 20 in colour. Hardcover. ISBN: 0-387-30448-7. Not yet published. Available July 2007.
Description and table of content: Springer website.

Bioinformatics

Multi-class Protein Fold Recognition Using Support Vector Machines and Neural Networks (Paper , data).
A Unified Representation for Multi-Protein Complex Data for Modeling Protein Interaction Networks (PDF).
Comparative mapping of sequence-based and structure-based protein domains (paper online).
Minimum Redundancy - Maximum Relevance Feature Selection (PDF).
High Performance Computing
Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures (PDF).
MPI and OpenMP Paradiagms on Cluster of SMP Architecture: the Vacancy Tracking Algorithm for Multi-Dimensional Array Transpose (PDF).
A Ghost Cell Expansion Method for Reducing Communications in Solving PDE Problems (PDF).
Using Accurate Arithmetics to Improve Numerical Reproducibility and Stability in Parallel Applications (PDF).
Web and Text Information Retrieval
Link Analysis: Hubs and Authorities on the World Wide Web (PDF).
PageRank, HITS and a Unified Framework for Link Analysis (PS).
Web Document Clustering Using Hyperlink Structures (PS).
A Probabilistic Model for Latent Semantic Indexing (PS).
Machine Learning and Multivariate Statistics
Two-dimensional Singular Value Decomposition (2DSVD) for 2D Maps and Images (PDF).
On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering (PDF).
Dynamic Cluster Formation Using Level Set Methods (PDF).
Cluster Aggregate Inequality and Multi-Level Hierarchical Clustering (PS).
K-means Clustering via Principal Component Analysis. (PDF).
Linearized Cluster Assignment via Spectral Ordering (PDF).