On the equivalence and convergence of parallel Jacobi SVD algorithms. - Haesun Park (1987)

An Analysis of Algorithm-Based Fault Tolerance Techniques. - Franklin T. Luk; Haesun Park (J. Parallel Distributed Comput., 1988)

Fault-Tolerant Matrix Triangularizations on Systolic Arrays. - Franklin T. Luk; Haesun Park (IEEE Trans. Computers, 1988)

A Proof of Convergence for Two Parallel Jacobi SVD Algorithms. - Franklin T. Luk; Haesun Park (IEEE Trans. Computers, 1989)

Efficient Implementation of Jacobi Algorithms and Jacobi Sets on Distributed Memory Architectures. - Patricia J. Eberlein; Haesun Park (J. Parallel Distributed Comput., 1990)

A parallel algorithm for the unbalanced orthogonal Procrustes problem. - Haesun Park (Parallel Comput., 1991)

On Multiple Error Detection in Matrx Triangularizations Using Checksum Methods. - Haesun Park (J. Parallel Distributed Comput., 1992)

Fast QR Decomposition for Weighted Least Squares Problems. - Andrew A. Anda; Haesun Park (PPSC, 1993)

An Algorithm for the Generalized Singular Value Decomposition on Massively Parallel Computers. - Haesun Park; Lars-Magnus Ewerbring (J. Parallel Distributed Comput., 1993)

Fast algorithms for exponential data modeling. - Haesun Park; Sabine Van Huffel; Lars Eldén (ICASSP (4), 1994)

Parallel Tri- and Bi-Diagonalization of Bordered Bidiagonal Matrices. - Sabine Van Huffel; Haesun Park (Parallel Comput., 1994)

On Competitive Group Testing. - Ding-Zhu Du; Haesun Park (SIAM J. Comput., 1994)

Fast Plane Rotations with Dynamic Scaling. - Andrew A. Anda; Haesun Park (SIAM J. Matrix Anal. Appl., 1994)

ESPRIT Direction-of-Arrival Estimation in the Presence of Spatially Correlated Noise. - Haesun Park (SIAM J. Matrix Anal. Appl., 1994)

Accurate Downdating of Least Squares Solutions. - Åke Björck; Haesun Park; Lars Eldén (SIAM J. Matrix Anal. Appl., 1994)

Block Downdating of Least Squares Solutions. - Lars Eldén; Haesun Park (SIAM J. Matrix Anal. Appl., 1994)

Structured total least norm method for Toeplitz problems. - Haesun Park; J. Ben Rosen; John Glick (ICASSP, 1995)

Efficient reduction algorithms for bordered band matrices. - Sabine Van Huffel; Haesun Park (Numer. Linear Algebra Appl., 1995)

Downdating the Rank-Revealing URV Decomposition. - Haesun Park; Lars Eldén (SIAM J. Matrix Anal. Appl., 1995)

Fast residual computation for sliding window recursive least squares methods. - Kyeongah Yoo; Haesun Park (Signal Process., 1995)

Total Least Norm Formulation and Solution for Structured Problems. - J. Ben Rosen; Haesun Park; John Glick (SIAM J. Matrix Anal. Appl., 1996)

Formulation and solution of structured total least norm problems for parameter estimation. - Sabine Van Huffel; Haesun Park; J. Ben Rosen (IEEE Trans. Signal Process., 1996)

Structured Total Least Norm for Nonlinear Problems. - J. Ben Rosen; Haesun Park; John Glick (SIAM J. Matrix Anal. Appl., 1998)

A Procrustes problem on the Stiefel manifold. - Lars Eldén; Haesun Park (Numerische Mathematik, 1999)

Accurate Solution to Overdetermined Linear Equations with Errors Using L1 Norm Minimization. - J. Ben Rosen; Haesun Park; John Glick; Lei Zhang (Comput. Optim. Appl., 2000)

Schur-Type Methods for Solving Least Squares Problems with Toeplitz Structure. - Haesun Park; Lars Eldén (SIAM J. Sci. Comput., 2000)

Dimension reduction based on centroids and least squares for efficient processing of text data. - Moongu Jeon; Haesun Park; J. Ben Rosen (SDM, 2001)

Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. - Cheong Hee Park; Haesun Park (ICDM, 2003)

A new optimization criterion for generalized discriminant analysis on undersampled problems. - Jieping Ye; Ravi Janardan; Cheong Hee Park; Haesun Park (ICDM, 2003)

Exponential Modeling with Unknown Model Order Using Structured Nonlinear Total Least Norm. - Lei Zhang; Haesun Park; J. Ben Rosen (Adv. Comput. Math., 2003)

DNA Screening, Pooling Design and Simplicial Complex. - Haesun Park; Weili Wu 001; Zhen Liu; Xiaoyu Wu; Hong G. Zhao (J. Comb. Optim., 2003)

A Decision Criterion for the Optimal Number of Clusters in Hierarchical Clustering. - Yunjae Jung; Haesun Park; Ding-Zhu Du; Barry L. Drake (J. Glob. Optim., 2003)

Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value Decomposition. - Peg Howland; Moongu Jeon; Haesun Park (SIAM J. Matrix Anal. Appl., 2003)

Imputation of Missing Values in DNA Microarray Gene Expression Data. - Hyunsoo Kim; Gene H. Golub; Haesun Park (CSB, 2004)

Incremental and Decremental Least Squares Support Vector Machine and Its Application to Drug Design. - Hyunsoo Kim; Haesun Park (CSB, 2004)

A Comparative Study of Linear and Nonlinear Feature Extraction Methods. - Cheong Hee Park; Haesun Park; Panos M. Pardalos (ICDM, 2004)

Feature extraction via generalized uncorrelated linear discriminant analysis. - Jieping Ye; Ravi Janardan; Qi Li 001; Haesun Park (ICML, 2004)

Equivalence of Several Two-Stage Methods for Linear Discriminant Analysis. - Peg Howland; Haesun Park (SDM, 2004)

Data Reduction in Support Vector Machines by a Kernelized Ionic Interaction Model. - Hyunsoo Kim; Haesun Park (SDM, 2004)

Generalizing Discriminant Analysis Using the Generalized Singular Value Decomposition. - Peg Howland; Haesun Park (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. - Jieping Ye; Ravi Janardan; Cheong Hee Park; Haesun Park (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Nonlinear feature extraction based on centroids and kernel functions. - Cheong Hee Park; Haesun Park (Pattern Recognit., 2004)

A three-stage framework for gene expression data analysis by L1-norm support vector regression. - Hyunsoo Kim; Jeff X. Zhou; Herbert C. Morse III; Haesun Park (Int. J. Bioinform. Res. Appl., 2005)

Dimension Reduction in Text Classification with Support Vector Machines. - Hyunsoo Kim; Peg Howland; Haesun Park (J. Mach. Learn. Res., 2005)

Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. - Cheong Hee Park; Haesun Park (Pattern Recognit., 2005)

Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition. - Cheong Hee Park; Haesun Park (SIAM J. Matrix Anal. Appl., 2005)

A Relationship between Linear Discriminant Analysis and the Generalized Minimum Squared Error Solution. - Cheong Hee Park; Haesun Park (SIAM J. Matrix Anal. Appl., 2005)

IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. - Jieping Ye; Qi Li 001; Hui Xiong 001; Haesun Park; Ravi Janardan; Vipin Kumar 001 (IEEE Trans. Knowl. Data Eng., 2005)

Discriminant analysis using nonnegative matrix factorization for nonparametric multiclass classification. - Hyunsoo Kim; Haesun Park (GrC, 2006)

Orthogonal nonnegative matrix t-factorizations for clustering. - Chris H. Q. Ding; Tao Li 001; Wei Peng 001; Haesun Park (KDD, 2006)

Missing value estimation for DNA microarray gene expression data: local least squares imputation. - Hyunsoo Kim; Gene H. Golub; Haesun Park (Bioinform., 2006)

2nd Special issue on matrix computations and statistics. - Jesse L. Barlow; Haesun Park; Patrick J. F. Groenen; Hongyuan Zha (Comput. Stat. Data Anal., 2006)

Solving the small sample size problem in face recognition using generalized discriminant analysis. - Peg Howland; Jianlin Wang; Haesun Park (Pattern Recognit., 2006)

Adaptive Nonlinear Discriminant Analysis by Regularized Minimum Squared Errors. - Hyunsoo Kim; Barry L. Drake; Haesun Park (IEEE Trans. Knowl. Data Eng., 2006)

Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis. - Jieping Ye; Ravi Janardan; Qi Li 001; Haesun Park (IEEE Trans. Knowl. Data Eng., 2006)

Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares. - Hyunsoo Kim; Haesun Park; Lars Eldén (BIBE, 2007)

Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization. - Hyunsoo Kim; Haesun Park; Hongyuan Zha (BIBE, 2007)

A Comparison of Unsupervised Dimension Reduction Algorithms for Classification. - Jaegul Choo; Hyunsoo Kim; Haesun Park; Hongyuan Zha (BIBM, 2007)

CallRank: Combating SPIT Using Call Duration, Social Networks and Global Reputation. - Vijay Balasubramaniyan; Mustaque Ahamad; Haesun Park (CEAS, 2007)

Cancer Class Discovery Using Non-negative Matrix Factorization Based on Alternating Non-negativity-Constrained Least Squares. - Hyunsoo Kim; Haesun Park (ISBRA, 2007)

Distance Preserving Dimension Reduction for Manifold Learning. - Hyunsoo Kim; Haesun Park; Hongyuan Zha (SDM, 2007)

Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis. - Hyunsoo Kim; Haesun Park (Bioinform., 2007)

Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations. - Hyunsoo Kim; Haesun Park; Barry L. Drake (BMC Bioinform., 2007)

Binary Particle Swarm Optimization with Bit Change Mutation. - Sangwook Lee; Haesun Park; Moongu Jeon (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007)

Quality assessment of gene selection in microarray data. - C. H. Park; Moongu Jeon; Panos M. Pardalos; Haesun Park (Optim. Methods Softw., 2007)

Multiclass classifiers based on dimension reduction with generalized LDA. - Hyunsoo Kim; Barry L. Drake; Haesun Park (Pattern Recognit., 2007)

Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons. - Jingu Kim; Haesun Park (ICDM, 2008)

Linear discriminant analysis for data with subcluster structure. - Haesun Park; Jaegul Choo; Barry L. Drake; Jinwoo Kang (ICPR, 2008)

Statistical properties analysis of real world tournament selection in genetic algorithms. - S. Lee; S. Soak; K. Kim; Haesun Park; Moongu Jeon (Appl. Intell., 2008)

A comparison of generalized linear discriminant analysis algorithms. - Cheong Hee Park; Haesun Park (Pattern Recognit., 2008)

Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method. - Hyunsoo Kim; Haesun Park (SIAM J. Matrix Anal. Appl., 2008)

Comparison of Raman spectra estimation algorithms. - Mahendra Mallick; Barry L. Drake; Haesun Park; Andy Register; William Dale Blair; Phil West; Ryan D. Palkki; Aaron D. Lanterman; Darren Emge (FUSION, 2009)

Efficient GSVD Based Multi-User MIMO Linear Precoding and Antenna Selection Scheme. - Jaehyun Park 001; Joohwan Chun; Haesun Park (ICC, 2009)

Two-stage framework for visualization of clustered high dimensional data. - Jaegul Choo; Shawn Bohn; Haesun Park (IEEE VAST, 2009)

Hierarchical Linear Discriminant Analysis for Beamforming. - Jaegul Choo; Barry L. Drake; Haesun Park (SDM, 2009)

Data transformations and representations for computation and visualization. - David J. Kasik; David S. Ebert; Guy Lebanon; Haesun Park; William M. Pottenger (Inf. Vis., 2009)

PTAS for Minimum Connected Dominating Set with Routing Cost Constraint in Wireless Sensor Networks. - Hongwei Du 001; Qiang Ye 001; Jiaofei Zhong; Yuexuan Wang; Wonjun Lee 001; Haesun Park (COCOA (1), 2010)

Supervised Raman spectra estimation based on nonnegative rank deficient least squares. - Barry L. Drake; Jingu Kim; Mahendra Mallick; Haesun Park (FUSION, 2010)

iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction. - Jaegul Choo; Hanseung Lee; Jaeyeon Kihm; Haesun Park (IEEE VAST, 2010)

GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation. - Hanseung Lee; Jaegul Choo; Carsten Görg; Jaeeun Shim; Jaeyeon Kihm; Zhicheng Liu 001; Haesun Park; John T. Stasko (IEEE VAST, 2010)

Data ingestion and evidence marshalling in Jigsaw VAST 2010 Mini Challenge 1 award: Good support for data ingest. - Zhicheng Liu 001; Carsten Görg; Jaeyeon Kihm; Hanseung Lee; Jaegul Choo; Haesun Park; John T. Stasko (IEEE VAST, 2010)

p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics. - Jaegul Choo; Chandan K. Reddy; Hanseung Lee; Haesun Park (SDM, 2010)

Fast Active-set-type Algorithms for L1-regularized Linear Regression. - Jingu Kim; Haesun Park (AISTATS, 2010)

A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria. - Yunlong He; Renato D. C. Monteiro; Haesun Park (SDM, 2011)

Sparse nonnegative matrix factorization for protein sequence motif discovery. - Wooyoung Kim; Bernard Chen 001; Jingu Kim; Yi Pan 001; Haesun Park (Expert Syst. Appl., 2011)

Statistical Optimization of Non-Negative Matrix Factorization. - Anoop Korattikara Balan; Levi Boyles; Max Welling; Jingu Kim; Haesun Park (AISTATS, 2011)

Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons. - Jingu Kim; Haesun Park (SIAM J. Sci. Comput., 2011)

Fast Nonnegative Tensor Factorization with an Active-Set-Like Method. - Jingu Kim; Haesun Park (High-Performance Scientific Computing, 2012)

A Visual Analytics Approach for Protein Disorder Prediction. - Jaegul Choo; Fuxin Li; Keehyoung Joo; Haesun Park (Expanding the Frontiers of Visual Analytics and Visualization, 2012)

A control loop structure based on semi-nonnegative matrix factorization for input-coupled systems. - Ryder C. Winck; Jingu Kim; Wayne J. Book; Haesun Park (ACC, 2012)

Bounded Matrix Low Rank Approximation. - Ramakrishnan Kannan; Mariya Ishteva; Haesun Park (ICDM, 2012)

Fast bregman divergence NMF using taylor expansion and coordinate descent. - Liangda Li; Guy Lebanon; Haesun Park (KDD, 2012)

Learning the Dependency Structure of Latent Factors. - Yunlong He; Yanjun Qi; Koray Kavukcuoglu; Haesun Park (NIPS, 2012)

Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling. - Jaegul Choo; Shawn Bohn; Grant Nakamura; Amanda M. White; Haesun Park (SDM, 2012)

Group Sparsity in Nonnegative Matrix Factorization. - Jingu Kim; Renato D. C. Monteiro; Haesun Park (SDM, 2012)

Symmetric Nonnegative Matrix Factorization for Graph Clustering. - Da Kuang; Haesun Park; Chris H. Q. Ding (SDM, 2012)

Command Generation Techniques for a Pin Array Using the SVD and the SNMF. - Ryder C. Winck; Jingu Kim; Wayne J. Book; Haesun Park (SyRoCo, 2012)

iVisClustering: An Interactive Visual Document Clustering via Topic Modeling. - Hanseung Lee; Jaeyeon Kihm; Jaegul Choo; John T. Stasko; Haesun Park (Comput. Graph. Forum, 2012)

Polynomial-time approximation scheme for minimum connected dominating set under routing cost constraint in wireless sensor networks. - Hongwei Du 001; Qiang Ye 001; Jiaofei Zhong; Yuexuan Wang; Wonjun Lee 001; Haesun Park (Theor. Comput. Sci., 2012)

Fast interactive visualization for multivariate data exploration. - Changhyun Lee; Wei Zhuo 001; Jaegul Choo; Duen Horng (Polo) Chau; Haesun Park (CHI Extended Abstracts, 2013)

Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery. - Jingu Kim; Naren Ramakrishnan; Manish Marwah; Amip Shah; Haesun Park (ICDM, 2013)

Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects. - Changhyun Lee; Jaegul Choo; Duen Horng (Polo) Chau; Haesun Park (ICDM Workshops, 2013)

Unfolding Latent Tree Structures using 4th Order Tensors. - Mariya Ishteva; Haesun Park; Le Song (ICML (3), 2013)

Hierarchical Tensor Decomposition of Latent Tree Graphical Models. - Le Song; Mariya Ishteva; Ankur P. Parikh; Eric P. Xing; Haesun Park (ICML (3), 2013)

Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. - Edward Clarkson; Jaegul Choo; John Turgeson; Ray Decuir; Haesun Park (IDEA@KDD, 2013)

Fast rank-2 nonnegative matrix factorization for hierarchical document clustering. - Da Kuang; Haesun Park (KDD, 2013)

Augmenting MATLAB with semantic objects for an interactive visual environment. - Changhyun Lee; Jaegul Choo; Duen Horng (Polo) Chau; Haesun Park (IDEA@KDD, 2013)

Interactive visual analytics for high dimensional data. - Haesun Park (IDEA@KDD, 2013)

An interactive visual testbed system for dimension reduction and clustering of large-scale high-dimensional data. - Jaegul Choo; Hanseung Lee; Zhicheng Liu 001; John T. Stasko; Haesun Park (Visualization and Data Analysis, 2013)

Customizing Computational Methods for Visual Analytics with Big Data. - Jaegul Choo; Haesun Park (IEEE Computer Graphics and Applications, 2013)

UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization. - Jaegul Choo; Changhyun Lee; Chandan K. Reddy; Haesun Park (IEEE Trans. Vis. Comput. Graph., 2013)

Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw. - Carsten Görg; Zhicheng Liu 001; Jaeyeon Kihm; Jaegul Choo; Haesun Park; John T. Stasko (IEEE Trans. Vis. Comput. Graph., 2013)

A Dynamic Data Driven Application System for Vehicle Tracking. - Richard Fujimoto; Angshuman Guin; Michael Hunter; Haesun Park; Gaurav Kanitkar; Ramakrishnan Kannan; Michael Milholen; Sabra Neal; Philip Pecher (ICCS, 2014)

Exploring anomalies in GAStech: VAST 2014 Mini Challenge 1 and 2. - Jaegul Choo; Yi Han 005; Mengdie Hu; Hannah Kim 001; James Nugent; Francesco Poggi; Haesun Park; John T. Stasko (IEEE VAST, 2014)

VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data. - Jaegul Choo; Changhyun Lee; Hannah Kim 001; Hanseung Lee; Zhicheng Liu 001; Ramakrishnan Kannan; Charles D. Stolper; John T. Stasko; Barry L. Drake; Haesun Park (IEEE VAST, 2014)

PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods. - Jaegul Choo; Changhyun Lee; Hannah Kim 001; Hanseung Lee; Chandan K. Reddy; Barry L. Drake; Haesun Park (IEEE VAST, 2014)

Understanding and promoting micro-finance activities in Kiva.org. - Jaegul Choo; Changhyun Lee; Daniel Lee; Hongyuan Zha; Haesun Park (WSDM, 2014)

To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. - Jaegul Choo; Daniel Lee; Bistra Dilkina; Hongyuan Zha; Haesun Park (WWW, 2014)

Fast Spammer Detection Using Structural Rank. - Seungyeon Kim 001; Haesun Park; Guy Lebanon (CoRR, 2014)

Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework. - Jingu Kim; Yunlong He; Haesun Park (J. Glob. Optim., 2014)

Bounded matrix factorization for recommender system. - Ramakrishnan Kannan; Mariya Ishteva; Haesun Park (Knowl. Inf. Syst., 2014)

Toward Social Media Opinion Mining for Sustainability Research. - Rundong Du; Zhongming Lu; Arka Pandit; Da Kuang; John Crittenden; Haesun Park (AAAI Workshop: Computational Sustainability, 2015)

Estimating Temporal Dynamics of Human Emotions. - Seungyeon Kim 001; Joonseok Lee; Guy Lebanon; Haesun Park (AAAI, 2015)

Local Context Sparse Coding. - Seungyeon Kim 001; Joonseok Lee; Guy Lebanon; Haesun Park (AAAI, 2015)

Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets. - Woosang Lim; Minhwan Kim; Haesun Park; Kyomin Jung (ICML, 2015)

Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. - Hannah Kim 001; Jaegul Choo; Jingu Kim; Chandan K. Reddy; Haesun Park (KDD, 2015)

Weakly supervised nonnegative matrix factorization for user-driven clustering. - Jaegul Choo; Changhyun Lee; Chandan K. Reddy; Haesun Park (Data Min. Knowl. Discov., 2015)

Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization. - Hannah Kim 001; Jaegul Choo; Chandan K. Reddy; Haesun Park (Neurocomputing, 2015)

SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering. - Da Kuang; Sangwoon Yun; Haesun Park (J. Glob. Optim., 2015)

Behavioral clusters in dynamic graphs. - James P. Fairbanks; Ramakrishnan Kannan; Haesun Park; David A. Bader (Parallel Comput., 2015)

Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization. - Nicolas Gillis; Da Kuang; Haesun Park (IEEE Trans. Geosci. Remote. Sens., 2015)

A high-performance parallel algorithm for nonnegative matrix factorization. - Ramakrishnan Kannan; Grey Ballard; Haesun Park (PPoPP, 2016)

PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding. - Minjeong Kim; Minsuk Choi; Sunwoong Lee; Jian Tang 005; Haesun Park; Jaegul Choo (CoRR, 2016)

InterAxis: Steering Scatterplot Axes via Observation-Level Interaction. - Hannah Kim 001; Jaegul Choo; Haesun Park; Alex Endert (IEEE Trans. Vis. Comput. Graph., 2016)

PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. - Hannah Kim 001; Jaegul Choo; Changhyun Lee; Hanseung Lee; Chandan K. Reddy; Haesun Park (AAAI, 2017)

Event Detection Based on Nonnegative Matrix Factorization: Ceasefire Violation, Environmental, and Malware Events. - Barry L. Drake; Tiffany Huang; Ashley Beavers; Rundong Du; Haesun Park (AHFE (9), 2017)

STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection. - Dear Sungbok Shin; Minsuk Choi; Jinho Choi 005; Scott Langevin; Christopher Bethune; Philippe Horne; Nathan Kronenfeld; Ramakrishnan Kannan; Barry L. Drake; Haesun Park; Jaegul Choo (ICDM, 2017)

Outlier Detection for Text Data. - Ramakrishnan Kannan; Hyenkyun Woo; Charu C. Aggarwal; Haesun Park (SDM, 2017)

Outlier Detection for Text Data : An Extended Version. - Ramakrishnan Kannan; Hyenkyun Woo; Charu C. Aggarwal; Haesun Park (CoRR, 2017)

DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling. - Rundong Du; Da Kuang; Barry L. Drake; Haesun Park (J. Glob. Optim., 2017)

AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings. - Bum Chul Kwon; Hannah Kim 001; Emily Wall 001; Jaegul Choo; Haesun Park; Alex Endert (IEEE Trans. Vis. Comput. Graph., 2017)

CoDiNMF: Co-Clustering of Directed Graphs via NMF. - Woosang Lim; Rundong Du; Haesun Park (AAAI, 2018)

Multi-scale Nystrom Method. - Woosang Lim; Rundong Du; Bo Dai 001; Kyomin Jung; Le Song; Haesun Park (AISTATS, 2018)

TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media. - Minsuk Choi; Dear Sungbok Shin; Jinho Choi 005; Scott Langevin; Christopher Bethune; Philippe Horne; Nathan Kronenfeld; Ramakrishnan Kannan; Barry L. Drake; Haesun Park; Jaegul Choo (CHI, 2018)

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. - Ioakeim Perros; Evangelos E. Papalexakis; Haesun Park; Richard W. Vuduc; Xiaowei Yan; Christopher deFilippi; Walter F. Stewart; Jimeng Sun 001 (KDD, 2018)

PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision. - Minjeong Kim; Minsuk Choi; Sunwoong Lee; Jian Tang 005; Haesun Park; Jaegul Choo (Comput. Graph. Forum, 2018)

Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters. - Hannah Kim 001; Denys Katerenchuk; Daniel Billet; Haesun Park; Boyang Li 001 (CoRR, 2018)

Integer Matrix Approximation and Data Mining. - Bo Dong; Matthew M. Lin; Haesun Park (J. Sci. Comput., 2018)

VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data. - Jaegul Choo; Hannah Kim 001; Edward Clarkson; Zhicheng Liu 001; Changhyun Lee; Fuxin Li; Hanseung Lee; Ramakrishnan Kannan; Charles D. Stolper; John T. Stasko; Haesun Park (ACM Trans. Knowl. Discov. Data, 2018)

MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization. - Ramakrishnan Kannan; Grey Ballard; Haesun Park (IEEE Trans. Knowl. Data Eng., 2018)

Understanding Actors and Evaluating Personae with Gaussian Embeddings. - Hannah Kim 001; Denys Katerenchuk; Daniel Billet; Jun Huan; Haesun Park; Boyang Li 001 (AAAI, 2019)

TopicSifter: Interactive Search Space Reduction through Targeted Topic Modeling. - Hannah Kim 001; Dongjin Choi; Barry L. Drake; Alex Endert; Haesun Park (VAST, 2019)

PLANC: Parallel Low Rank Approximation with Non-negativity Constraints. - Srinivas Eswar; Koby Hayashi; Grey Ballard; Ramakrishnan Kannan; Michael A. Matheson; Haesun Park (CoRR, 2019)

Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization. - Rundong Du; Barry L. Drake; Haesun Park (J. Glob. Optim., 2019)

TASTE: temporal and static tensor factorization for phenotyping electronic health records. - Ardavan Afshar; Ioakeim Perros; Haesun Park; Christopher deFilippi; Xiaowei Yan; Walter F. Stewart; Joyce C. Ho; Jimeng Sun 001 (CHIL, 2020)

Hypergraph Random Walks, Laplacians, and Clustering. - Koby Hayashi; Sinan G. Aksoy; Cheong Hee Park; Haesun Park (CIKM, 2020)

Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization. - Lawton Manning; Grey Ballard; Ramakrishnan Kannan; Haesun Park (HiPC, 2020)

Distributed-memory parallel symmetric nonnegative matrix factorization. - Srinivas Eswar; Koby Hayashi; Grey Ballard; Ramakrishnan Kannan; Richard W. Vuduc; Haesun Park (SC, 2020)

An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization. - Delin Chu; Wenya Shi; Srinivas Eswar; Haesun Park (CoRR, 2020)

MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs. - Joyce Jiyoung Whang; Rundong Du; Sangwon Jung; Geon Lee; Barry L. Drake; Qingqing Liu; Seonggoo Kang; Haesun Park (Proc. VLDB Endow., 2020)

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. - Ardavan Afshar; Kejing Yin; Sherry Yan; Cheng Qian 001; Joyce C. Ho; Haesun Park; Jimeng Sun 001 (AAAI, 2021)

ORCA: Outlier detection and Robust Clustering for Attributed graphs. - Srinivas Eswar; Ramakrishnan Kannan; Richard W. Vuduc; Haesun Park (J. Glob. Optim., 2021)

An Alternating Rank-k Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization. - Delin Chu; Weya Shi; Srinivas Eswar; Haesun Park (SIAM J. Matrix Anal. Appl., 2021)

PLANC: Parallel Low-rank Approximation with Nonnegativity Constraints. - Srinivas Eswar; Koby Hayashi; Grey Ballard; Ramakrishnan Kannan; Michael A. Matheson; Haesun Park (ACM Trans. Math. Softw., 2021)

ArchiText: Interactive Hierarchical Topic Modeling. - Hannah Kim 001; Barry L. Drake; Alex Endert; Haesun Park (IEEE Trans. Vis. Comput. Graph., 2021)

Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs. - Koby Hayashi; Sinan G. Aksoy; Haesun Park (IEEE Big Data, 2022)

WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data. - Dongjin Choi; Andy Xiang; Ozgur Ozturk; Deep Shrestha; Barry L. Drake; Hamid Haidarian; Faizan Javed; Haesun Park (IEEE Big Data, 2023)

Patient Clustering via Integrated Profiling of Clinical and Digital Data. - Dongjin Choi; Andy Xiang; Ozgur Ozturk; Deep Shrestha; Barry L. Drake; Hamid Haidarian; Faizan Javed; Haesun Park (CIKM, 2023)

Co-embedding Multi-type Data for Information Fusion and Visual Analytics. - Dongjin Choi; Barry L. Drake; Haesun Park (FUSION, 2023)

Distributed-Memory Parallel JointNMF. - Srinivas Eswar; Benjamin Cobb; Koby Hayashi; Ramakrishnan Kannan; Grey Ballard; Richard W. Vuduc; Haesun Park (ICS, 2023)

AminerMag S Dataset. - Srinivas Eswar; Benjamin Cobb; Koby Hayashi; Ramakrishnan Kannan; Grey Ballard; Rich Vuduc; Haesun Park (Zenodo, 2023)

AminerMag X Dataset. - Srinivas Eswar; Benjamin Cobb; Koby Hayashi; Ramakrishnan Kannan; Grey Ballard; Rich Vuduc; Haesun Park (Zenodo, 2023)

Clustering and Topic Discovery of Multiway Data via Joint-NCMTF. - Benjamin Cobb; Ricardo Velasquez; Richard W. Vuduc; Haesun Park (IEEE Big Data, 2024)

On Rank Selection for Nonnegative Matrix Factorization. - Srinivas Eswar; Koby Hayashi; Benjamin Cobb; Ramakrishnan Kannan; Grey Ballard; Richard W. Vuduc; Haesun Park (IEEE Big Data, 2024)

Randomized Algorithms for Symmetric Nonnegative Matrix Factorization. - Koby Hayashi; Sinan G. Aksoy; Grey Ballard; Haesun Park (SIAM J. Matrix Anal. Appl., 2025)