Haesun Park

According to our database1, Haesun Park authored at least 152 papers between 1988 and 2018.

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Awards

IEEE Fellow

IEEE Fellow 2017, "For contributions to large-scale data and visual analytics".

Timeline

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Bibliography

2018
MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization.
IEEE Trans. Knowl. Data Eng., 2018

VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data.
TKDD, 2018

Integer Matrix Approximation and Data Mining.
J. Sci. Comput., 2018

Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters.
CoRR, 2018

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping.
CoRR, 2018

PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision.
Comput. Graph. Forum, 2018

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Multi-scale Nystrom Method.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

CoDiNMF: Co-Clustering of Directed Graphs via NMF.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings.
IEEE Trans. Vis. Comput. Graph., 2017

DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling.
J. Global Optimization, 2017

Outlier Detection for Text Data : An Extended Version.
CoRR, 2017

Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization.
CoRR, 2017

Outlier Detection for Text Data.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
InterAxis: Steering Scatterplot Axes via Observation-Level Interaction.
IEEE Trans. Vis. Comput. Graph., 2016

PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding.
CoRR, 2016

MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization.
CoRR, 2016

A high-performance parallel algorithm for nonnegative matrix factorization.
Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016

2015
Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization.
IEEE Trans. Geoscience and Remote Sensing, 2015

Behavioral clusters in dynamic graphs.
Parallel Computing, 2015

SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering.
J. Global Optimization, 2015

Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization.
Neurocomputing, 2015

Weakly supervised nonnegative matrix factorization for user-driven clustering.
Data Min. Knowl. Discov., 2015

A High-Performance Parallel Algorithm for Nonnegative Matrix Factorization.
CoRR, 2015

Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Local Context Sparse Coding.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Estimating Temporal Dynamics of Human Emotions.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Toward Social Media Opinion Mining for Sustainability Research.
Proceedings of the Computational Sustainability, 2015

2014
Bounded matrix factorization for recommender system.
Knowl. Inf. Syst., 2014

Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework.
J. Global Optimization, 2014

Fast Spammer Detection Using Structural Rank.
CoRR, 2014

To gather together for a better world: understanding and leveraging communities in micro-lending recommendation.
Proceedings of the 23rd International World Wide Web Conference, 2014

Understanding and promoting micro-finance activities in Kiva.org.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods.
Proceedings of the 2014 IEEE Conference on Visual Analytics Science and Technology, 2014

VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data.
Proceedings of the 2014 IEEE Conference on Visual Analytics Science and Technology, 2014

Exploring anomalies in GAStech: VAST 2014 Mini Challenge 1 and 2.
Proceedings of the 2014 IEEE Conference on Visual Analytics Science and Technology, 2014

A Dynamic Data Driven Application System for Vehicle Tracking.
Proceedings of the International Conference on Computational Science, 2014

2013
Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw.
IEEE Trans. Vis. Comput. Graph., 2013

UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization.
IEEE Trans. Vis. Comput. Graph., 2013

Hierarchical Clustering of Hyperspectral Images using Rank-Two Nonnegative Matrix Factorization.
CoRR, 2013

Customizing Computational Methods for Visual Analytics with Big Data.
IEEE Computer Graphics and Applications, 2013

An interactive visual testbed system for dimension reduction and clustering of large-scale high-dimensional data.
Proceedings of the Visualization and Data Analysis 2013, 2013

Interactive visual analytics for high dimensional data.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Augmenting MATLAB with semantic objects for an interactive visual environment.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Fast rank-2 nonnegative matrix factorization for hierarchical document clustering.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Hierarchical Tensor Decomposition of Latent Tree Graphical Models.
Proceedings of the 30th International Conference on Machine Learning, 2013

Unfolding Latent Tree Structures using 4th Order Tensors.
Proceedings of the 30th International Conference on Machine Learning, 2013

Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Fast interactive visualization for multivariate data exploration.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012
Polynomial-time approximation scheme for minimum connected dominating set under routing cost constraint in wireless sensor networks.
Theor. Comput. Sci., 2012

Unfolding Latent Tree Structures using 4th Order Tensors
CoRR, 2012

iVisClustering: An Interactive Visual Document Clustering via Topic Modeling.
Comput. Graph. Forum, 2012

Command Generation Techniques for a Pin Array Using the SVD and the SNMF.
Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012

Symmetric Nonnegative Matrix Factorization for Graph Clustering.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Group Sparsity in Nonnegative Matrix Factorization.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Learning the Dependency Structure of Latent Factors.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Fast bregman divergence NMF using taylor expansion and coordinate descent.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Bounded Matrix Low Rank Approximation.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

A control loop structure based on semi-nonnegative matrix factorization for input-coupled systems.
Proceedings of the American Control Conference, 2012

Fast Nonnegative Tensor Factorization with an Active-Set-Like Method.
Proceedings of the High-Performance Scientific Computing - Algorithms and Applications., 2012

2011
Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons.
SIAM J. Scientific Computing, 2011

Statistical Optimization of Non-Negative Matrix Factorization.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Sparse nonnegative matrix factorization for protein sequence motif discovery.
Expert Syst. Appl., 2011

A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

2010
Fast Active-set-type Algorithms for L1-regularized Linear Regression.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics.
Proceedings of the SIAM International Conference on Data Mining, 2010

Data ingestion and evidence marshalling in Jigsaw VAST 2010 Mini Challenge 1 award: Good support for data ingest.
Proceedings of the IEEE Conference on Visual Analytics Science and Technology, 2010

GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation.
Proceedings of the IEEE Conference on Visual Analytics Science and Technology, 2010

iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction.
Proceedings of the IEEE Conference on Visual Analytics Science and Technology, 2010

Supervised Raman spectra estimation based on nonnegative rank deficient least squares.
Proceedings of the 13th Conference on Information Fusion, 2010

PTAS for Minimum Connected Dominating Set with Routing Cost Constraint in Wireless Sensor Networks.
Proceedings of the Combinatorial Optimization and Applications, 2010

2009
Data transformations and representations for computation and visualization.
Information Visualization, 2009

Hierarchical Linear Discriminant Analysis for Beamforming.
Proceedings of the SIAM International Conference on Data Mining, 2009

Two-stage framework for visualization of clustered high dimensional data.
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology, 2009

Efficient GSVD Based Multi-User MIMO Linear Precoding and Antenna Selection Scheme.
Proceedings of IEEE International Conference on Communications, 2009

Comparison of Raman spectra estimation algorithms.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method.
SIAM J. Matrix Analysis Applications, 2008

A comparison of generalized linear discriminant analysis algorithms.
Pattern Recognition, 2008

Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations.
BMC Bioinformatics, 2008

Statistical properties analysis of real world tournament selection in genetic algorithms.
Appl. Intell., 2008

Linear discriminant analysis for data with subcluster structure.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Multiclass classifiers based on dimension reduction with generalized LDA.
Pattern Recognition, 2007

Quality assessment of gene selection in microarray data.
Optimization Methods and Software, 2007

Binary Particle Swarm Optimization with Bit Change Mutation.
IEICE Transactions, 2007

Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations.
BMC Bioinformatics, 2007

Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis.
Bioinformatics, 2007

Distance Preserving Dimension Reduction for Manifold Learning.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Cancer Class Discovery Using Non-negative Matrix Factorization Based on Alternating Non-negativity-Constrained Least Squares.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

CallRank: Combating SPIT Using Call Duration, Social Networks and Global Reputation.
Proceedings of the CEAS 2007, 2007

A Comparison of Unsupervised Dimension Reduction Algorithms for Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2006

Adaptive Nonlinear Discriminant Analysis by Regularized Minimum Squared Errors.
IEEE Trans. Knowl. Data Eng., 2006

Solving the small sample size problem in face recognition using generalized discriminant analysis.
Pattern Recognition, 2006

2nd Special issue on matrix computations and statistics.
Computational Statistics & Data Analysis, 2006

Missing value estimation for DNA microarray gene expression data: local least squares imputation.
Bioinformatics, 2006

Orthogonal nonnegative matrix t-factorizations for clustering.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Discriminant analysis using nonnegative matrix factorization for nonparametric multiclass classification.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2005
IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition.
IEEE Trans. Knowl. Data Eng., 2005

A Relationship between Linear Discriminant Analysis and the Generalized Minimum Squared Error Solution.
SIAM J. Matrix Analysis Applications, 2005

Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition.
SIAM J. Matrix Analysis Applications, 2005

Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis.
Pattern Recognition, 2005

Dimension Reduction in Text Classification with Support Vector Machines.
Journal of Machine Learning Research, 2005

A three-stage framework for gene expression data analysis by L1-norm support vector regression.
IJBRA, 2005

Missing value estimation for DNA microarray gene expression data: local least squares imputation.
Bioinformatics, 2005

2004
Nonlinear feature extraction based on centroids and kernel functions.
Pattern Recognition, 2004

An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Generalizing Discriminant Analysis Using the Generalized Singular Value Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Data Reduction in Support Vector Machines by a Kernelized Ionic Interaction Model.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Equivalence of Several Two-Stage Methods for Linear Discriminant Analysis.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

IDR/QR: an incremental dimension reduction algorithm via QR decomposition.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Feature extraction via generalized uncorrelated linear discriminant analysis.
Proceedings of the Machine Learning, 2004

A Comparative Study of Linear and Nonlinear Feature Extraction Methods.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Incremental and Decremental Least Squares Support Vector Machine and Its Application to Drug Design.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

Imputation of Missing Values in DNA Microarray Gene Expression Data.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003
Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value Decomposition.
SIAM J. Matrix Analysis Applications, 2003

A Decision Criterion for the Optimal Number of Clusters in Hierarchical Clustering.
J. Global Optimization, 2003

DNA Screening, Pooling Design and Simplicial Complex.
J. Comb. Optim., 2003

Exponential Modeling with Unknown Model Order Using Structured Nonlinear Total Least Norm.
Adv. Comput. Math., 2003

A new optimization criterion for generalized discriminant analysis on undersampled problems.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2001
Dimension reduction based on centroids and least squares for efficient processing of text data.
Proceedings of the First SIAM International Conference on Data Mining, 2001

2000
Schur-Type Methods for Solving Least Squares Problems with Toeplitz Structure.
SIAM J. Scientific Computing, 2000

Accurate Solution to Overdetermined Linear Equations with Errors Using L1 Norm Minimization.
Comp. Opt. and Appl., 2000

1999
A Procrustes problem on the Stiefel manifold.
Numerische Mathematik, 1999

1998
Structured Total Least Norm for Nonlinear Problems.
SIAM J. Matrix Analysis Applications, 1998

1996
Formulation and solution of structured total least norm problems for parameter estimation.
IEEE Trans. Signal Processing, 1996

Total Least Norm Formulation and Solution for Structured Problems.
SIAM J. Matrix Analysis Applications, 1996

1995
Fast residual computation for sliding window recursive least squares methods.
Signal Processing, 1995

Downdating the Rank-Revealing URV Decomposition.
SIAM J. Matrix Analysis Applications, 1995

Efficient reduction algorithms for bordered band matrices.
Numerical Lin. Alg. with Applic., 1995

Structured total least norm method for Toeplitz problems.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
On Competitive Group Testing.
SIAM J. Comput., 1994

Parallel Tri- and Bi-Diagonalization of Bordered Bidiagonal Matrices.
Parallel Computing, 1994

Fast algorithms for exponential data modeling.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
An Algorithm for the Generalized Singular Value Decomposition on Massively Parallel Computers.
J. Parallel Distrib. Comput., 1993

Fast QR Decomposition for Weighted Least Squares Problems.
Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993

1992
On Multiple Error Detection in Matrx Triangularizations Using Checksum Methods.
J. Parallel Distrib. Comput., 1992

1991
An algorithm for the generalized singular value decomposition on massively parallel computers.
Proceedings of the 5th international conference on Supercomputing, 1991

1990
Efficient Implementation of Jacobi Algorithms and Jacobi Sets on Distributed Memory Architectures.
J. Parallel Distrib. Comput., 1990

1989
A Proof of Convergence for Two Parallel Jacobi SVD Algorithms.
IEEE Trans. Computers, 1989

1988
Fault-Tolerant Matrix Triangularizations on Systolic Arrays.
IEEE Trans. Computers, 1988

An Analysis of Algorithm-Based Fault Tolerance Techniques.
J. Parallel Distrib. Comput., 1988


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