Haesun Park - RankMe

193 papers A* 23A 21B 7C 6Misc 5Journal 99Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Fast Active-Set Thresholding Method for Nonnegative Least Squares. IEEE Big Data Benjamin Cobb, Ramakrishnan Kannan, Konstantin Pieper, Piyush Sao, Yongseok Soh, Jee W. Choi, Richard W. Vuduc, Haesun Park
2025	A	`conf`	Numerical Linear Algebraic Foundations for Large-Scale Unsupervised Learning. CIKM Haesun Park
2025	J	`jnl`	Randomized Algorithms for Symmetric Nonnegative Matrix Factorization. SIAM J. Matrix Anal. Appl. Koby Hayashi, Sinan G. Aksoy, Grey Ballard, Haesun Park
2024	B	`conf`	Clustering and Topic Discovery of Multiway Data via Joint-NCMTF. IEEE Big Data Benjamin Cobb, Ricardo Velasquez, Richard W. Vuduc, Haesun Park
2024	B	`conf`	On Rank Selection for Nonnegative Matrix Factorization. IEEE Big Data Srinivas Eswar, Koby Hayashi, Benjamin Cobb, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park
2024	J	`jnl`	Randomized Algorithms for Symmetric Nonnegative Matrix Factorization. CoRR Koby Hayashi, Sinan G. Aksoy, Grey Ballard, Haesun Park
2023	C	`conf`	Co-embedding Multi-type Data for Information Fusion and Visual Analytics. FUSION Dongjin Choi, Barry L. Drake, Haesun Park
2023	A	`conf`	Distributed-Memory Parallel JointNMF. ICS Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park
2023	A	`conf`	Patient Clustering via Integrated Profiling of Clinical and Digital Data. CIKM Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park
2023	J	`jnl`	Patient Clustering via Integrated Profiling of Clinical and Digital Data. CoRR Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park
2023	B	`conf`	WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data. IEEE Big Data Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park
2023	J	`jnl`	WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data. CoRR Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park
2022	B	`conf`	Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs. IEEE Big Data Koby Hayashi, Sinan G. Aksoy, Haesun Park
2022	J	`jnl`	Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs. CoRR Koby Hayashi, Sinan G. Aksoy, Haesun Park
2021	J	`jnl`	An Alternating Rank- SIAM J. Matrix Anal. Appl. Delin Chu, Weya Shi, Srinivas Eswar, Haesun Park
2021	J	`jnl`	ArchiText: Interactive Hierarchical Topic Modeling. IEEE Trans. Vis. Comput. Graph. Hannah Kim, Barry L. Drake, Alex Endert, Haesun Park
2021	J	`jnl`	ORCA: Outlier detection and Robust Clustering for Attributed graphs. J. Glob. Optim. Srinivas Eswar, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park
2021	J	`jnl`	PLANC: Parallel Low-rank Approximation with Nonnegativity Constraints. ACM Trans. Math. Softw. Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park
2021	A*	`conf`	SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. AAAI Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun
2020	J	`jnl`	An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization. CoRR Delin Chu, Wenya Shi, Srinivas Eswar, Haesun Park
2020	A	`conf`	Distributed-memory parallel symmetric nonnegative matrix factorization. SC Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park
2020	A	`conf`	Hypergraph Random Walks, Laplacians, and Clustering. CIKM Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park
2020	J	`jnl`	Hypergraph Random Walks, Laplacians, and Clustering. CoRR Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park
2020	J	`jnl`	MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs. Proc. VLDB Endow. Joyce Jiyoung Whang, Rundong Du, Sangwon Jung, Geon Lee, Barry L. Drake, Qingqing Liu, Seonggoo Kang, Haesun Park
2020	Misc	`conf`	Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization. HiPC Lawton Manning, Grey Ballard, Ramakrishnan Kannan, Haesun Park
2020	J	`jnl`	SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. CoRR Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun
2020	—	`conf`	TASTE: temporal and static tensor factorization for phenotyping electronic health records. CHIL Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun
2019	J	`jnl`	Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization. J. Glob. Optim. Rundong Du, Barry L. Drake, Haesun Park
2019	J	`jnl`	PLANC: Parallel Low Rank Approximation with Non-negativity Constraints. CoRR Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park
2019	J	`jnl`	TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records. CoRR Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun
2019	J	`jnl`	TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling. CoRR Hannah Kim, Dongjin Choi, Barry L. Drake, Alex Endert, Haesun Park
2019	—	`conf`	TopicSifter: Interactive Search Space Reduction through Targeted Topic Modeling. VAST Hannah Kim, Dongjin Choi, Barry L. Drake, Alex Endert, Haesun Park
2019	A*	`conf`	Understanding Actors and Evaluating Personae with Gaussian Embeddings. AAAI Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li
2018	A*	`conf`	CoDiNMF: Co-Clustering of Directed Graphs via NMF. AAAI Woosang Lim, Rundong Du, Haesun Park
2018	J	`jnl`	Integer Matrix Approximation and Data Mining. J. Sci. Comput. Bo Dong, Matthew M. Lin, Haesun Park
2018	J	`jnl`	Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters. CoRR Hannah Kim, Denys Katerenchuk, Daniel Billet, Haesun Park, Boyang Li
2018	J	`jnl`	MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. Ramakrishnan Kannan, Grey Ballard, Haesun Park
2018	A	`conf`	Multi-scale Nystrom Method. AISTATS Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park
2018	J	`jnl`	PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision. Comput. Graph. Forum Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, Jaegul Choo
2018	A*	`conf`	SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. KDD Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun
2018	J	`jnl`	SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. CoRR Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun
2018	A*	`conf`	TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media. CHI Minsuk Choi, Dear Sungbok Shin, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo
2018	J	`jnl`	VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data. ACM Trans. Knowl. Discov. Data Jaegul Choo, Hannah Kim, Edward Clarkson, Zhicheng Liu, Changhyun Lee, Fuxin Li, Hanseung Lee, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Haesun Park
2017	J	`jnl`	AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings. IEEE Trans. Vis. Comput. Graph. Bum Chul Kwon, Hannah Kim, Emily Wall, Jaegul Choo, Haesun Park, Alex Endert
2017	J	`jnl`	DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling. J. Glob. Optim. Rundong Du, Da Kuang, Barry L. Drake, Haesun Park
2017	—	`conf`	Event Detection Based on Nonnegative Matrix Factorization: Ceasefire Violation, Environmental, and Malware Events. AHFE (9) Barry L. Drake, Tiffany Huang, Ashley Beavers, Rundong Du, Haesun Park
2017	J	`jnl`	Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization. CoRR Rundong Du, Barry L. Drake, Haesun Park
2017	J	`jnl`	Outlier Detection for Text Data : An Extended Version. CoRR Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park
2017	A	`conf`	Outlier Detection for Text Data. SDM Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park
2017	A*	`conf`	PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. AAAI Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park
2017	A*	`conf`	STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection. ICDM Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo
2016	B	`conf`	A high-performance parallel algorithm for nonnegative matrix factorization. PPoPP Ramakrishnan Kannan, Grey Ballard, Haesun Park
2016	J	`jnl`	InterAxis: Steering Scatterplot Axes via Observation-Level Interaction. IEEE Trans. Vis. Comput. Graph. Hannah Kim, Jaegul Choo, Haesun Park, Alex Endert
2016	J	`jnl`	MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization. CoRR Ramakrishnan Kannan, Grey Ballard, Haesun Park
2016	J	`jnl`	PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding. CoRR Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, Jaegul Choo
2015	J	`jnl`	A High-Performance Parallel Algorithm for Nonnegative Matrix Factorization. CoRR Ramakrishnan Kannan, Grey Ballard, Haesun Park
2015	J	`jnl`	Behavioral clusters in dynamic graphs. Parallel Comput. James P. Fairbanks, Ramakrishnan Kannan, Haesun Park, David A. Bader
2015	A*	`conf`	Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets. ICML Woosang Lim, Minhwan Kim, Haesun Park, Kyomin Jung
2015	J	`jnl`	Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization. Neurocomputing Hannah Kim, Jaegul Choo, Chandan K. Reddy, Haesun Park
2015	A*	`conf`	Estimating Temporal Dynamics of Human Emotions. AAAI Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
2015	J	`jnl`	Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization. IEEE Trans. Geosci. Remote. Sens. Nicolas Gillis, Da Kuang, Haesun Park
2015	A*	`conf`	Local Context Sparse Coding. AAAI Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
2015	A*	`conf`	Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. KDD Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park
2015	J	`jnl`	SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering. J. Glob. Optim. Da Kuang, Sangwoon Yun, Haesun Park
2015	—	`conf`	Toward Social Media Opinion Mining for Sustainability Research. AAAI Workshop: Computational Sustainability Rundong Du, Zhongming Lu, Arka Pandit, Da Kuang, John Crittenden, Haesun Park
2015	J	`jnl`	Weakly supervised nonnegative matrix factorization for user-driven clustering. Data Min. Knowl. Discov. Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park
2014	Misc	`conf`	A Dynamic Data Driven Application System for Vehicle Tracking. ICCS Richard Fujimoto, Angshuman Guin, Michael Hunter, Haesun Park, Gaurav Kanitkar, Ramakrishnan Kannan, Michael Milholen, Sabra Neal, Philip Pecher
2014	J	`jnl`	Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework. J. Glob. Optim. Jingu Kim, Yunlong He, Haesun Park
2014	J	`jnl`	Bounded matrix factorization for recommender system. Knowl. Inf. Syst. Ramakrishnan Kannan, Mariya Ishteva, Haesun Park
2014	—	`conf`	Exploring anomalies in GAStech: VAST 2014 Mini Challenge 1 and 2. IEEE VAST Jaegul Choo, Yi Han, Mengdie Hu, Hannah Kim, James Nugent, Francesco Poggi, Haesun Park, John T. Stasko
2014	J	`jnl`	Fast Spammer Detection Using Structural Rank. CoRR Seungyeon Kim, Haesun Park, Guy Lebanon
2014	—	`conf`	PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods. IEEE VAST Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Chandan K. Reddy, Barry L. Drake, Haesun Park
2014	A*	`conf`	To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. WWW Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park
2014	A	`conf`	Understanding and promoting micro-finance activities in Kiva.org. WSDM Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, Haesun Park
2014	—	`conf`	VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data. IEEE VAST Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Zhicheng Liu, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Barry L. Drake, Haesun Park
2013	Misc	`conf`	An interactive visual testbed system for dimension reduction and clustering of large-scale high-dimensional data. Visualization and Data Analysis Jaegul Choo, Hanseung Lee, Zhicheng Liu, John T. Stasko, Haesun Park
2013	—	`conf`	Augmenting MATLAB with semantic objects for an interactive visual environment. IDEA@KDD Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park
2013	J	`jnl`	Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw. IEEE Trans. Vis. Comput. Graph. Carsten Görg, Zhicheng Liu, Jaeyeon Kihm, Jaegul Choo, Haesun Park, John T. Stasko
2013	J	`jnl`	Customizing Computational Methods for Visual Analytics with Big Data. IEEE Computer Graphics and Applications Jaegul Choo, Haesun Park
2013	—	`conf`	Fast interactive visualization for multivariate data exploration. CHI Extended Abstracts Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park
2013	A*	`conf`	Fast rank-2 nonnegative matrix factorization for hierarchical document clustering. KDD Da Kuang, Haesun Park
2013	J	`jnl`	Hierarchical Clustering of Hyperspectral Images using Rank-Two Nonnegative Matrix Factorization. CoRR Nicolas Gillis, Da Kuang, Haesun Park
2013	—	`conf`	Hierarchical Tensor Decomposition of Latent Tree Graphical Models. ICML (3) Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park
2013	—	`conf`	Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects. ICDM Workshops Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park
2013	—	`conf`	Interactive visual analytics for high dimensional data. IDEA@KDD Haesun Park
2013	—	`conf`	Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. IDEA@KDD Edward Clarkson, Jaegul Choo, John Turgeson, Ray Decuir, Haesun Park
2013	A*	`conf`	Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery. ICDM Jingu Kim, Naren Ramakrishnan, Manish Marwah, Amip Shah, Haesun Park
2013	J	`jnl`	UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization. IEEE Trans. Vis. Comput. Graph. Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park
2013	—	`conf`	Unfolding Latent Tree Structures using 4th Order Tensors. ICML (3) Mariya Ishteva, Haesun Park, Le Song
2012	—	`ch.`	A Visual Analytics Approach for Protein Disorder Prediction. Expanding the Frontiers of Visual Analytics and Visualization Jaegul Choo, Fuxin Li, Keehyoung Joo, Haesun Park
2012	C	`conf`	A control loop structure based on semi-nonnegative matrix factorization for input-coupled systems. ACC Ryder C. Winck, Jingu Kim, Wayne J. Book, Haesun Park
2012	A*	`conf`	Bounded Matrix Low Rank Approximation. ICDM Ramakrishnan Kannan, Mariya Ishteva, Haesun Park
2012	—	`conf`	Command Generation Techniques for a Pin Array Using the SVD and the SNMF. SyRoCo Ryder C. Winck, Jingu Kim, Wayne J. Book, Haesun Park
2012	—	`ch.`	Fast Nonnegative Tensor Factorization with an Active-Set-Like Method. High-Performance Scientific Computing Jingu Kim, Haesun Park
2012	A*	`conf`	Fast bregman divergence NMF using taylor expansion and coordinate descent. KDD Liangda Li, Guy Lebanon, Haesun Park
2012	A	`conf`	Group Sparsity in Nonnegative Matrix Factorization. SDM Jingu Kim, Renato D. C. Monteiro, Haesun Park
2012	A	`conf`	Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling. SDM Jaegul Choo, Shawn Bohn, Grant Nakamura, Amanda M. White, Haesun Park
2012	—	`conf`	Learning the Dependency Structure of Latent Factors. NIPS Yunlong He, Yanjun Qi, Koray Kavukcuoglu, Haesun Park
2012	J	`jnl`	Polynomial-time approximation scheme for minimum connected dominating set under routing cost constraint in wireless sensor networks. Theor. Comput. Sci. Hongwei Du, Qiang Ye, Jiaofei Zhong, Yuexuan Wang, Wonjun Lee, Haesun Park
2012	A	`conf`	Symmetric Nonnegative Matrix Factorization for Graph Clustering. SDM Da Kuang, Haesun Park, Chris H. Q. Ding
2012	J	`jnl`	Unfolding Latent Tree Structures using 4th Order Tensors CoRR Mariya Ishteva, Haesun Park, Le Song
2012	J	`jnl`	iVisClustering: An Interactive Visual Document Clustering via Topic Modeling. Comput. Graph. Forum Hanseung Lee, Jaeyeon Kihm, Jaegul Choo, John T. Stasko, Haesun Park
2011	A	`conf`	A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria. SDM Yunlong He, Renato D. C. Monteiro, Haesun Park
2011	J	`jnl`	Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons. SIAM J. Sci. Comput. Jingu Kim, Haesun Park
2011	J	`jnl`	Sparse nonnegative matrix factorization for protein sequence motif discovery. Expert Syst. Appl. Wooyoung Kim, Bernard Chen, Jingu Kim, Yi Pan, Haesun Park
2011	A	`conf`	Statistical Optimization of Non-Negative Matrix Factorization. AISTATS Anoop Korattikara Balan, Levi Boyles, Max Welling, Jingu Kim, Haesun Park
2010	—	`conf`	Data ingestion and evidence marshalling in Jigsaw VAST 2010 Mini Challenge 1 award: Good support for data ingest. IEEE VAST Zhicheng Liu, Carsten Görg, Jaeyeon Kihm, Hanseung Lee, Jaegul Choo, Haesun Park, John T. Stasko
2010	A	`conf`	Fast Active-set-type Algorithms for L1-regularized Linear Regression. AISTATS Jingu Kim, Haesun Park
2010	—	`conf`	GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation. IEEE VAST Hanseung Lee, Jaegul Choo, Carsten Görg, Jaeeun Shim, Jaeyeon Kihm, Zhicheng Liu, Haesun Park, John T. Stasko
2010	—	`conf`	PTAS for Minimum Connected Dominating Set with Routing Cost Constraint in Wireless Sensor Networks. COCOA (1) Hongwei Du, Qiang Ye, Jiaofei Zhong, Yuexuan Wang, Wonjun Lee, Haesun Park
2010	C	`conf`	Supervised Raman spectra estimation based on nonnegative rank deficient least squares. FUSION Barry L. Drake, Jingu Kim, Mahendra Mallick, Haesun Park
2010	—	`conf`	iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction. IEEE VAST Jaegul Choo, Hanseung Lee, Jaeyeon Kihm, Haesun Park
2010	A	`conf`	p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics. SDM Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park
2009	C	`conf`	Comparison of Raman spectra estimation algorithms. FUSION Mahendra Mallick, Barry L. Drake, Haesun Park, Andy Register, William Dale Blair, Phil West, Ryan D. Palkki, Aaron D. Lanterman, Darren Emge
2009	J	`jnl`	Data transformations and representations for computation and visualization. Inf. Vis. David J. Kasik, David S. Ebert, Guy Lebanon, Haesun Park, William M. Pottenger
2009	—	`conf`	Efficient GSVD Based Multi-User MIMO Linear Precoding and Antenna Selection Scheme. ICC Jaehyun Park, Joohwan Chun, Haesun Park
2009	A	`conf`	Hierarchical Linear Discriminant Analysis for Beamforming. SDM Jaegul Choo, Barry L. Drake, Haesun Park
2009	—	`conf`	Two-stage framework for visualization of clustered high dimensional data. IEEE VAST Jaegul Choo, Shawn Bohn, Haesun Park
2008	J	`jnl`	A comparison of generalized linear discriminant analysis algorithms. Pattern Recognit. Cheong Hee Park, Haesun Park
2008	J	`jnl`	Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations. BMC Bioinform. Hyunsoo Kim, Haesun Park, Barry L. Drake
2008	B	`conf`	Linear discriminant analysis for data with subcluster structure. ICPR Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo Kang
2008	J	`jnl`	Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method. SIAM J. Matrix Anal. Appl. Hyunsoo Kim, Haesun Park
2008	J	`jnl`	Statistical properties analysis of real world tournament selection in genetic algorithms. Appl. Intell. S. Lee, S. Soak, K. Kim, Haesun Park, Moongu Jeon
2008	A*	`conf`	Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons. ICDM Jingu Kim, Haesun Park
2007	—	`conf`	A Comparison of Unsupervised Dimension Reduction Algorithms for Classification. BIBM Jaegul Choo, Hyunsoo Kim, Haesun Park, Hongyuan Zha
2007	J	`jnl`	Binary Particle Swarm Optimization with Bit Change Mutation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Sangwook Lee, Haesun Park, Moongu Jeon
2007	—	`conf`	CallRank: Combating SPIT Using Call Duration, Social Networks and Global Reputation. CEAS Vijay Balasubramaniyan, Mustaque Ahamad, Haesun Park
2007	—	`conf`	Cancer Class Discovery Using Non-negative Matrix Factorization Based on Alternating Non-negativity-Constrained Least Squares. ISBRA Hyunsoo Kim, Haesun Park
2007	C	`conf`	Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization. BIBE Hyunsoo Kim, Haesun Park, Hongyuan Zha
2007	A	`conf`	Distance Preserving Dimension Reduction for Manifold Learning. SDM Hyunsoo Kim, Haesun Park, Hongyuan Zha
2007	J	`jnl`	Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations. BMC Bioinform. Hyunsoo Kim, Haesun Park, Barry L. Drake
2007	J	`jnl`	Multiclass classifiers based on dimension reduction with generalized LDA. Pattern Recognit. Hyunsoo Kim, Barry L. Drake, Haesun Park
2007	C	`conf`	Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares. BIBE Hyunsoo Kim, Haesun Park, Lars Eldén
2007	J	`jnl`	Quality assessment of gene selection in microarray data. Optim. Methods Softw. C. H. Park, Moongu Jeon, Panos M. Pardalos, Haesun Park
2007	J	`jnl`	Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis. Bioinform. Hyunsoo Kim, Haesun Park
2006	J	`jnl`	2nd Special issue on matrix computations and statistics. Comput. Stat. Data Anal. Jesse L. Barlow, Haesun Park, Patrick J. F. Groenen, Hongyuan Zha
2006	J	`jnl`	Adaptive Nonlinear Discriminant Analysis by Regularized Minimum Squared Errors. IEEE Trans. Knowl. Data Eng. Hyunsoo Kim, Barry L. Drake, Haesun Park
2006	Misc	`conf`	Discriminant analysis using nonnegative matrix factorization for nonparametric multiclass classification. GrC Hyunsoo Kim, Haesun Park
2006	J	`jnl`	Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. Jieping Ye, Ravi Janardan, Qi Li, Haesun Park
2006	J	`jnl`	Missing value estimation for DNA microarray gene expression data: local least squares imputation. Bioinform. Hyunsoo Kim, Gene H. Golub, Haesun Park
2006	A*	`conf`	Orthogonal nonnegative matrix t-factorizations for clustering. KDD Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park
2006	J	`jnl`	Solving the small sample size problem in face recognition using generalized discriminant analysis. Pattern Recognit. Peg Howland, Jianlin Wang, Haesun Park
2005	J	`jnl`	A Relationship between Linear Discriminant Analysis and the Generalized Minimum Squared Error Solution. SIAM J. Matrix Anal. Appl. Cheong Hee Park, Haesun Park
2005	J	`jnl`	A three-stage framework for gene expression data analysis by L1-norm support vector regression. Int. J. Bioinform. Res. Appl. Hyunsoo Kim, Jeff X. Zhou, Herbert C. Morse III, Haesun Park
2005	J	`jnl`	Dimension Reduction in Text Classification with Support Vector Machines. J. Mach. Learn. Res. Hyunsoo Kim, Peg Howland, Haesun Park
2005	J	`jnl`	Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. Pattern Recognit. Cheong Hee Park, Haesun Park
2005	J	`jnl`	IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. IEEE Trans. Knowl. Data Eng. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar
2005	J	`jnl`	Missing value estimation for DNA microarray gene expression data: local least squares imputation. Bioinform. Hyunsoo Kim, Gene H. Golub, Haesun Park
2005	J	`jnl`	Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition. SIAM J. Matrix Anal. Appl. Cheong Hee Park, Haesun Park
2004	A*	`conf`	A Comparative Study of Linear and Nonlinear Feature Extraction Methods. ICDM Cheong Hee Park, Haesun Park, Panos M. Pardalos
2004	J	`jnl`	An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. IEEE Trans. Pattern Anal. Mach. Intell. Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park
2004	A	`conf`	Data Reduction in Support Vector Machines by a Kernelized Ionic Interaction Model. SDM Hyunsoo Kim, Haesun Park
2004	A	`conf`	Equivalence of Several Two-Stage Methods for Linear Discriminant Analysis. SDM Peg Howland, Haesun Park
2004	A*	`conf`	Feature extraction via generalized uncorrelated linear discriminant analysis. ICML Jieping Ye, Ravi Janardan, Qi Li, Haesun Park
2004	J	`jnl`	Generalizing Discriminant Analysis Using the Generalized Singular Value Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. Peg Howland, Haesun Park
2004	A*	`conf`	IDR/QR: an incremental dimension reduction algorithm via QR decomposition. KDD Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar
2004	—	`conf`	Imputation of Missing Values in DNA Microarray Gene Expression Data. CSB Hyunsoo Kim, Gene H. Golub, Haesun Park
2004	—	`conf`	Incremental and Decremental Least Squares Support Vector Machine and Its Application to Drug Design. CSB Hyunsoo Kim, Haesun Park
2004	J	`jnl`	Nonlinear feature extraction based on centroids and kernel functions. Pattern Recognit. Cheong Hee Park, Haesun Park
2003	J	`jnl`	A Decision Criterion for the Optimal Number of Clusters in Hierarchical Clustering. J. Glob. Optim. Yunjae Jung, Haesun Park, Ding-Zhu Du, Barry L. Drake
2003	A*	`conf`	A new optimization criterion for generalized discriminant analysis on undersampled problems. ICDM Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park
2003	J	`jnl`	DNA Screening, Pooling Design and Simplicial Complex. J. Comb. Optim. Haesun Park, Weili Wu, Zhen Liu, Xiaoyu Wu, Hong G. Zhao
2003	A*	`conf`	Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. ICDM Cheong Hee Park, Haesun Park
2003	J	`jnl`	Exponential Modeling with Unknown Model Order Using Structured Nonlinear Total Least Norm. Adv. Comput. Math. Lei Zhang, Haesun Park, J. Ben Rosen
2003	J	`jnl`	Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value Decomposition. SIAM J. Matrix Anal. Appl. Peg Howland, Moongu Jeon, Haesun Park
2001	A	`conf`	Dimension reduction based on centroids and least squares for efficient processing of text data. SDM Moongu Jeon, Haesun Park, J. Ben Rosen
2000	J	`jnl`	Accurate Solution to Overdetermined Linear Equations with Errors Using L1 Norm Minimization. Comput. Optim. Appl. J. Ben Rosen, Haesun Park, John Glick, Lei Zhang
2000	J	`jnl`	Schur-Type Methods for Solving Least Squares Problems with Toeplitz Structure. SIAM J. Sci. Comput. Haesun Park, Lars Eldén
1999	J	`jnl`	A Procrustes problem on the Stiefel manifold. Numerische Mathematik Lars Eldén, Haesun Park
1998	J	`jnl`	Structured Total Least Norm for Nonlinear Problems. SIAM J. Matrix Anal. Appl. J. Ben Rosen, Haesun Park, John Glick
1996	J	`jnl`	Formulation and solution of structured total least norm problems for parameter estimation. IEEE Trans. Signal Process. Sabine Van Huffel, Haesun Park, J. Ben Rosen
1996	J	`jnl`	Total Least Norm Formulation and Solution for Structured Problems. SIAM J. Matrix Anal. Appl. J. Ben Rosen, Haesun Park, John Glick
1995	J	`jnl`	Downdating the Rank-Revealing URV Decomposition. SIAM J. Matrix Anal. Appl. Haesun Park, Lars Eldén
1995	J	`jnl`	Efficient reduction algorithms for bordered band matrices. Numer. Linear Algebra Appl. Sabine Van Huffel, Haesun Park
1995	J	`jnl`	Fast residual computation for sliding window recursive least squares methods. Signal Process. Kyeongah Yoo, Haesun Park
1995	Misc	`conf`	Structured total least norm method for Toeplitz problems. ICASSP Haesun Park, J. Ben Rosen, John Glick
1994	J	`jnl`	Accurate Downdating of Least Squares Solutions. SIAM J. Matrix Anal. Appl. Åke Björck, Haesun Park, Lars Eldén
1994	J	`jnl`	Block Downdating of Least Squares Solutions. SIAM J. Matrix Anal. Appl. Lars Eldén, Haesun Park
1994	J	`jnl`	ESPRIT Direction-of-Arrival Estimation in the Presence of Spatially Correlated Noise. SIAM J. Matrix Anal. Appl. Haesun Park
1994	J	`jnl`	Fast Plane Rotations with Dynamic Scaling. SIAM J. Matrix Anal. Appl. Andrew A. Anda, Haesun Park
1994	—	`conf`	Fast algorithms for exponential data modeling. ICASSP (4) Haesun Park, Sabine Van Huffel, Lars Eldén
1994	J	`jnl`	On Competitive Group Testing. SIAM J. Comput. Ding-Zhu Du, Haesun Park
1994	J	`jnl`	Parallel Tri- and Bi-Diagonalization of Bordered Bidiagonal Matrices. Parallel Comput. Sabine Van Huffel, Haesun Park
1993	J	`jnl`	An Algorithm for the Generalized Singular Value Decomposition on Massively Parallel Computers. J. Parallel Distributed Comput. Haesun Park, Lars-Magnus Ewerbring
1993	—	`conf`	Fast QR Decomposition for Weighted Least Squares Problems. PPSC Andrew A. Anda, Haesun Park
1992	J	`jnl`	On Multiple Error Detection in Matrx Triangularizations Using Checksum Methods. J. Parallel Distributed Comput. Haesun Park
1991	J	`jnl`	A parallel algorithm for the unbalanced orthogonal Procrustes problem. Parallel Comput. Haesun Park
1991	A	`conf`	An algorithm for the generalized singular value decomposition on massively parallel computers. ICS Haesun Park, Lars-Magnus Ewerbring
1990	J	`jnl`	Efficient Implementation of Jacobi Algorithms and Jacobi Sets on Distributed Memory Architectures. J. Parallel Distributed Comput. Patricia J. Eberlein, Haesun Park
1989	J	`jnl`	A Proof of Convergence for Two Parallel Jacobi SVD Algorithms. IEEE Trans. Computers Franklin T. Luk, Haesun Park
1988	J	`jnl`	An Analysis of Algorithm-Based Fault Tolerance Techniques. J. Parallel Distributed Comput. Franklin T. Luk, Haesun Park
1988	J	`jnl`	Fault-Tolerant Matrix Triangularizations on Systolic Arrays. IEEE Trans. Computers Franklin T. Luk, Haesun Park
1987	—	`—`	On the equivalence and convergence of parallel Jacobi SVD algorithms. Haesun Park