Haesun Park

Sabine Van Huffel, Haesun Park, Lars Eldén, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

A Procrustes problem on the Stiefel manifold

Haesun Park, Lars Eldén, L. Eldén, 1999, Numerische Mathematik.

An Effective Term-Weighting Scheme for Information Retrieval

Haesun Park, Yunjae Jung, Haesun Park, 2000 .

Estimating Temporal Dynamics of Human Emotions

Haesun Park, Guy Lebanon, Joonseok Lee, 2015, AAAI.

Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis

Haesun Park, Cheong Hee Park, Haesun Park, 2005, Pattern Recognit..

Outlier Detection for Text Data

Charu C. Aggarwal, Haesun Park, Ramakrishnan Kannan, 2017, SDM.

Statistical Optimization of Non-Negative Matrix Factorization

Levi Boyles, Max Welling, Haesun Park, 2011, AISTATS.

Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons

Haesun Park, Jingu Kim, Haesun Park, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Local Context Sparse Coding

Haesun Park, Guy Lebanon, Joonseok Lee, 2015, AAAI.

An algorithm for the generalized singular value decomposition on massively parallel computers

Haesun Park, Lars-Magnus Ewerbring, Haesun Park, 1991, ICS '91.

A Proof of Convergence for Two Parallel Jacobi SVD Algorithms

Franklin T. Luk, Haesun Park, F. Luk, 1989, IEEE Trans. Computers.

Multiclass classifiers based on dimension reduction with generalized LDA

Hyunsoo Kim, Haesun Park, Barry L. Drake, 2007, Pattern Recognit..

Parallel simulation of freeway traffic flows on a personal computer-based, distributed computing system

Haesun Park, Eil Kwon, Kyeongah Yoo, 1996, Vehicle Navigation and Information Systems Conference, 1996.

Generalizing discriminant analysis using the generalized singular value decomposition

Haesun Park, Peg Howland, Haesun Park, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

TASTE: temporal and static tensor factorization for phenotyping electronic health records

Jimeng Sun, Joyce Ho, Haesun Park, 2019, CHIL.

Integer Matrix Approximation and Data Mining

Bo Dong, Haesun Park, Matthew M. Lin, 2017, J. Sci. Comput..

Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations

Hyunsoo Kim, Haesun Park, Barry L. Drake, 2007, BMC Bioinformatics.

Cluster-Preserving Dimension Reduction Methods for Document Classification

Haesun Park, Peg Howland, Haesun Park, 2008 .

Equivalence of Several Two-Stage Methods for Linear Discriminant Analysis

Haesun Park, Peg Howland, Haesun Park, 2004, SDM.

A Visual Analytics Approach for Protein Disorder Prediction

Keehyoung Joo, Jaegul Choo, Haesun Park, 2012, Expanding the Frontiers of Visual Analytics and Visualization.

Hierarchical Tensor Decomposition of Latent Tree Graphical Models

Le Song, Eric P. Xing, Haesun Park, 2013, ICML.

Nonnegative Matrix Factorization for Interactive Topic Modeling and Document Clustering

Jaegul Choo, Haesun Park, Da Kuang, 2014 .

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors pdf

Jimeng Sun, Cheng Qian, Haesun Park, 2020, AAAI.

Missing value estimation for DNA microarray gene expression data: local least squares imputation

G. Golub, Haesun Park, Hyunsoo Kim, 2006, Bioinform..

Bounded Matrix Low Rank Approximation

Haesun Park, Ramakrishnan Kannan, Mariya Ishteva, 2012, 2012 IEEE 12th International Conference on Data Mining.

Proceedings of the Eighth SIAM International Conference on Data Mining

Ke Wang, Chid Apte, Haesun Park, 2008, SDM 2008.

Two-Dimensional Concept Vector Machines Based on an Ionic Interaction Model

Haesun Park, Hyunsoo Kim, Haesun Park, 2005, 2005 International Conference on Neural Networks and Brain.

To gather together for a better world: understanding and leveraging communities in micro-lending recommendation

Hongyuan Zha, Jaegul Choo, Daniel Lee, 2014, WWW.

A comparative study of linear and nonlinear feature extraction methods

Panos M. Pardalos, Haesun Park, Cheong Hee Park, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization

R. Kannan, Haesun Park, Grey Ballard, 2020, 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC).

Distributed-Memory Parallel JointNMF

R. Kannan, Haesun Park, Grey Ballard, 2023, ICS.

TopicSifter: Interactive Search Space Reduction through Targeted Topic Modeling

Alex Endert, Haesun Park, Dongjin Choi, 2019, 2019 IEEE Conference on Visual Analytics Science and Technology (VAST).

Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization

Haesun Park, Barry L. Drake, Rundong Du, 2017, Journal of Global Optimization.

Fast Clustering and Topic Modeling Based on Rank-2 Nonnegative Matrix Factorization pdf

Barry L. Drake, Da Kuang, Barry Drake, 2015, ArXiv.

Understanding and promoting micro-finance activities in Kiva.org

Hongyuan Zha, Jaegul Choo, Changhyun Lee, 2014, WSDM.

Fast rank-2 nonnegative matrix factorization for hierarchical document clustering

Haesun Park, Da Kuang, Haesun Park, 2013, KDD.

Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis

Jieping Ye, Qi Li, Haesun Park, 2006, IEEE Transactions on Knowledge and Data Engineering.

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

Jaegul Choo, Haesun Park, Chandan K. Reddy, 2015, Neurocomputing.

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

Haesun Park, Hyunsoo Kim, 2007, Bioinform..

Identification of Tumor Subtypes of Endometrial Carcinoma by Integrationof Heterogeneous Datasets

Jeffrey H. Chuang, Haesun Park, Markus Bredel, 2015 .

Weakly supervised nonnegative matrix factorization for user-driven clustering

Haesun Park, J. Choo, C. Reddy, 2015, Data Mining and Knowledge Discovery.

Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition

Haesun Park, Cheong Hee Park, Haesun Park, 2005, SIAM J. Matrix Anal. Appl..

Hybrid Clustering of single-cell gene-expression and cell spatial information via integrated NMF and k-means

Xiuwei Zhang, Haesun Park, Sooyoun Oh, 2020, bioRxiv.

An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization pdf

Haesun Park, Delin Chu, Srinivas Eswar, 2020, SIAM J. Matrix Anal. Appl..

Dynamic Systems for Individual Tracking via Heterogeneous Information Integration and Crowd Source Distributed Simulation

Michael Hunter, Richard M. Fujimoto, Haesun Park, 2015 .

Sparse nonnegative matrix factorization for protein sequence motif discovery

Yi Pan, Haesun Park, Wooyoung Kim, 2011, Expert Syst. Appl..

Comparison of Raman spectra estimation algorithms

Haesun Park, Aaron D. Lanterman, Barry L. Drake, 2009, 2009 12th International Conference on Information Fusion.

Cancer Class Discovery Using Non-negative Matrix Factorization Based on Alternating Non-negativity-Constrained Least Squares

Hyunsoo Kim, Haesun Park, Haesun Park, 2007, ISBRA.

GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation

John T. Stasko, Jaeeun Shim, Jaegul Choo, 2010, IEEE VAST.

Proceedings of the SIAM International Conference on Data Mining, SDM 2008, April 24-26, 2008, Atlanta, Georgia, USA

C. Apté, Haesun Park, Ke Wang, 2010, SDM.

Missing value estimation for DNA microarray gene expression data: local least squares imputation

G. Golub, Haesun Park, Hyunsoo Kim, 2006, Bioinform..

CallRank: Combating SPIT Using Call Duration, Social Networks and Global Reputation

Haesun Park, Mustaque Ahamad, Vijay Balasubramaniyan, 2007, CEAS.

Customizing Computational Methods for Visual Analytics with Big Data

Jaegul Choo, Haesun Park, Haesun Park, 2013, IEEE Computer Graphics and Applications.

A control loop structure based on semi-nonnegative matrix factorization for input-coupled systems

Wayne J. Book, Haesun Park, Jingu Kim, 2012, 2012 American Control Conference (ACC).

ArchiText: Interactive Hierarchical Topic Modeling

Alex Endert, Haesun Park, Barry L. Drake, 2020, IEEE Transactions on Visualization and Computer Graphics.

Missing Value Estimation for DNA Microarray Expression Data : Least Squares Imputation

Gene H. Golub, Haesun Park, G. Golub, 2004 .

Unfolding Latent Tree Structures using 4th Order Tensors

Le Song, Haesun Park, Mariya Ishteva, 2012, ICML.

Co-embedding Multi-type Data for Information Fusion and Visual Analytics

Barry L. Drake, Haesun Park, Dongjin Choi, 2023, 2023 26th International Conference on Information Fusion (FUSION).

Multi-scale Nystrom Method

Kyomin Jung, Le Song, Bo Dai, 2018, AISTATS.

Data Transformations and Representations for Computation and Visualization

David S. Ebert, William M. Pottenger, Haesun Park, 2009, Inf. Vis..

Nonlinear feature extraction based on centroids and kernel functions

Haesun Park, Cheong Hee Park, Haesun Park, 2004, Pattern Recognit..

Efficient nonlinear dimension reduction for clustered data using kernel functions

Haesun Park, Cheong Hee Park, Haesun Park, 2003, Third IEEE International Conference on Data Mining.

Outlier Detection for Text Data : An Extended Version pdf

Charu C. Aggarwal, Haesun Park, Ramakrishnan Kannan, 2017, ArXiv.

Feature extraction via generalized uncorrelated linear discriminant analysis

Jieping Ye, Qi Li, Haesun Park, 2004, ICML.

Solving the small sample size problem in face recognition using generalized discriminant analysis

Jianlin Wang, Haesun Park, Peg Howland, 2006, Pattern Recognit..

Multidirectional Pointing Input Using a Hardware Keyboard

Haesun Park, Byungjoo Lee, Hyunwoo Bang, 2013 .

Hierarchical ordering with partial pairwise hierarchical relationships on the macaque brain data sets

Jungsoo Lee, Doo-Hwan Bae, Dae-Shik Kim, 2017, PloS one.

Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery

Manish Marwah, Naren Ramakrishnan, Haesun Park, 2013, 2013 IEEE 13th International Conference on Data Mining.

PixelSNE: Pixel‐Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen‐Resolution Precision

Jian Tang, Jaegul Choo, Haesun Park, 2018, Comput. Graph. Forum.

Fast Linear Discriminant Analysis using QR Decomposition and Regularization

Haesun Park, Cheong Hee Park, Barry L. Drake, 2007 .

TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media

Jinho Choi, Jaegul Choo, Haesun Park, 2018, CHI.

Behavioral clusters in dynamic graphs

David A. Bader, James P. Fairbanks, Haesun Park, 2015, Parallel Comput..

AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings

Alex Endert, Jaegul Choo, Haesun Park, 2017, IEEE Transactions on Visualization and Computer Graphics.

Symmetric Nonnegative Matrix Factorization for Graph Clustering

C. Ding, Haesun Park, Da Kuang, 2012, SDM.

PixelSNE: Pixel‐Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen‐Resolution Precision

Haesun Park, Jian Tang, J. Choo, 2018, Comput. Graph. Forum.

PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding pdf

Jian Tang, Jaegul Choo, Haesun Park, 2016, ArXiv.

An algorithm for sparse PCA based on a new sparsity control criterion

Renato D. C. Monteiro, Haesun Park, Yunlong He, 2011 .

A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria

Renato D. C. Monteiro, Haesun Park, Yunlong He, 2011, SDM.

An efficient algorithm for rank-1 sparse PCA

Haesun Park, Yunlong He, 2010 .

Perturbation analysis for block downdating of a Cholesky decomposition

Haesun Park, Haesun Park, Lars Eld'en, 1994 .

Understanding Actors and Evaluating Personae with Gaussian Embeddings

Boyang Li, Haesun Park, Jun Huan, 2018, AAAI.

Perturbation and error analyses for block downdating of a Cholesky decomposition

Haesun Park, Lars Eldén, L. Eldén, 1996 .

Fast residual computation for sliding window recursive least squares methods

Haesun Park, Kyeongah Yoo, Haesun Park, 1995, Signal Process..

A Comparison of Unsupervised Dimension Reduction Algorithms for Classification

Hongyuan Zha, Jaegul Choo, Haesun Park, 2007, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007).

Adaptive nonlinear discriminant analysis by regularized minimum squared errors

Hyunsoo Kim, Haesun Park, Barry L. Drake, 2006, IEEE Transactions on Knowledge and Data Engineering.

Imputation of missing values in DNA microarray gene expression data

Gene H. Golub, Hyunsoo Kim, Haesun Park, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..