journal journal conf conference pending preprint/report/submitted

Parallel Computing

A Parallel Tree Code for Computing Matrix-Vector Products with the Matern Kernel
Jie Chen, Lei Wang and Mihai Anitescu
Preprint ANL/MCS-P5015-0913, Argonne National Laboratory, 2013.
[ Manuscript ] [ Software ] [ Gallery ]

A Parallel Linear Solver for Multilevel Toeplitz Systems with Possibly Several Right-Hand Sides
Jie Chen, Tom L. H. Li and Mihai Anitescu
Parallel Computing (PARCO), 40(8):408--424, 2014.
[ Manuscript ] [ DOI ]

*a partial version appears in ICCS 2013:
Parallelizing the Conjugate Gradient Algorithm for Multilevel Toeplitz Systems
Jie Chen and Tom L. H. Li
Procedia Computer Science, 18:571--580, 2013.
[ Manuscript ] [ DOI ] [ Slides ]

Statistics

An Inversion-Free Estimating Equation Approach for Gaussian Process Models
Mihai Anitescu, Jie Chen and Michael L. Stein
Preprint ANL/MCS-P5078-0214, Argonne National Laboratory, 2014.

Stochastic Approximation of Score Functions for Gaussian Processes
Michael L. Stein, Jie Chen and Mihai Anitescu
Annals of Applied Statistics (AOAS), 7(2):1162--1191, 2013.
[ Manuscript ] [ DOI ]

Numerical Linear Algebra, Scientific Computing

Data Structure and Algorithms for Recursively Low-Rank Compressed Matrices
Jie Chen
Preprint ANL/MCS-P5112-0314, Argonne National Laboratory, 2014.

A Stable Scaling of Newton-Schulz for Improving the Sign Function Computation of a Hermitian Matrix
Jie Chen and Edmond Chow
Preprint ANL/MCS-P5059-0114, Argonne National Laboratory, 2014.
[ Manuscript ]
*A previously circulated version "A Newton-Schulz Variant for Improving the Initial Convergence in Matrix Sign Computation" is not stable. Readers should not follow the method therein.

A Fast Summation Tree Code for Matern Kernel
Jie Chen, Lei Wang and Mihai Anitescu
SIAM Journal on Scientific Computing (SISC), 36(1):A289--A309, 2014.
[ Manuscript ] [ DOI ]

Analysis and Practical Use of Flexible BiCGStab
Jie Chen, Lois Curfman McInnes and Hong Zhang
Preprint ANL/MCS-P3039-0912, Argonne National Laboratory, 2012.

On the Use of Discrete Laplace Operator for Preconditioning Kernel Matrices
Jie Chen
SIAM Journal on Scientific Computing (SISC), 35(2):A577--A602, 2013.
[ Manuscript ] [ DOI ]

A Deflated Version of the Block Conjugate Gradient Algorithm with an Application to Gaussian Process Maximum Likelihood Estimation
Jie Chen
Preprint ANL/MCS-P1927-0811, Argonne National Laboratory, 2011.

Difference Filter Preconditioning for Large Covariance Matrices
Michael L. Stein, Jie Chen and Mihai Anitescu
SIAM Journal on Matrix Analysis and Applications (SIMAX), 33(1):52--72, 2012.
[ Manuscript ] [ DOI ]

A Matrix-Free Approach for Solving the Parametric Gaussian Process Maximum Likelihood Problem
Mihai Anitescu, Jie Chen and Lei Wang
SIAM Journal on Scientific Computing (SISC), 34(1):A240--A262, 2012.
[ Manuscript ] [ DOI ] [ Software ] [ Slides ] [ ScalaGAUSS website ]

Algebraic Distance on Graphs
Jie Chen and Ilya Safro
SIAM Journal on Scientific Computing (SISC), 33(6):3468--3490, 2011.
[ Manuscript ] [ DOI ]

*a short version appears in ICCS 2011:
A Measure of the Local Connectivity between Graph Vertices
Jie Chen and Ilya Safro
Procedia Computer Science, 4:196--205, 2011.
[ Manuscript ] [ DOI ]

Computing $f(A)b$ via Least Squares Polynomial Approximations
Jie Chen, Mihai Anitescu and Yousef Saad
SIAM Journal on Scientific Computing (SISC), 33(1):195--222, 2011.
[ Manuscript ] [ DOI ] [ Software ]

On the Tensor SVD and the Optimal Low Rank Orthogonal Approximation of Tensors
Jie Chen and Yousef Saad
SIAM Journal on Matrix Analysis and Applications (SIMAX), 30(4):1709--1734, 2009.
[ Manuscript ] [ DOI ] [ Software ] [ Slides ]      (SIAM Student Paper Prize)

Data Mining, Machine Learning

Dense Subgraph Extraction with Application to Community Detection
Jie Chen and Yousef Saad
IEEE Transactions on Knowledge and Data Engineering (TKDE), 24(7):1216--1230, 2012.
[ Manuscript ] [ DOI ]

Trace Optimization and Eigenproblems in Dimension Reduction Methods
Effrosyni Kokiopoulou, Jie Chen and Yousef Saad
Numerical Linear Algebra with Applications (NLAA), 18(3):565--602, 2011.
[ Manuscript ] [ DOI ]

Divide and Conquer Strategies for Effective Information Retrieval
Jie Chen and Yousef Saad
Proceedings of the Ninth SIAM International Conference on Data Mining (SDM), 2009.
[ Manuscript ] [ Conference site ] [ Poster ]

Fast Approximate $k$NN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection
Jie Chen, Haw-ren Fang and Yousef Saad
Journal of Machine Learning Research (JMLR), 10(Sep):1989--2012, 2009.
[ Manuscript ] [ Journal site ] [ Software ]

Lanczos Vectors versus Singular Vectors for Effective Dimension Reduction
Jie Chen and Yousef Saad
IEEE Transactions on Knowledge and Data Engineering (TKDE), 21(8):1091--1103, 2009.
[ Manuscript ] [ DOI ]

Graphics and Vision

Architectural Modeling from Sparsely Scanned Range Data
Jie Chen and Baoquan Chen
International Journal of Computer Vision (IJCV), 78(2-3):223--236, 2008.
[ Manuscript* ] [ DOI ] [ Slides ] [ Video (15.3MB) ] [ Scanning project website ]
*The original publication is available at www.springerlink.com.

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