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- affiliation: Georgia Institute of Technology, Atlanta GA, USA
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2020 – today
- 2024
[i20]Koby Hayashi, Sinan G. Aksoy, Grey Ballard, Haesun Park:
Randomized Algorithms for Symmetric Nonnegative Matrix Factorization. CoRR abs/2402.08134 (2024)- 2023
- [c87]Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park:
WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data. IEEE Big Data 2023: 616-625 - [c86]Dongjin Choi
, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park:
Patient Clustering via Integrated Profiling of Clinical and Digital Data. CIKM 2023: 3818-3822 - [c85]Dongjin Choi, Barry L. Drake, Haesun Park:
Co-embedding Multi-type Data for Information Fusion and Visual Analytics. FUSION 2023: 1-8 - [c84]Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park:
Distributed-Memory Parallel JointNMF. ICS 2023: 301-312 - [d2]Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Rich Vuduc, Haesun Park:
AminerMag S Dataset. Zenodo, 2023
- [d1]Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Rich Vuduc, Haesun Park:
AminerMag X Dataset. Zenodo, 2023 - [i19]Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park:
Patient Clustering via Integrated Profiling of Clinical and Digital Data. CoRR abs/2308.11748 (2023) - [i18]Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park:
WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data. CoRR abs/2312.14129 (2023) - 2022
- [c83]Koby Hayashi, Sinan G. Aksoy, Haesun Park:
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs. IEEE Big Data 2022: 555-564 - [i17]Koby Hayashi, Sinan G. Aksoy, Haesun Park:
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs. CoRR abs/2203.01388 (2022) - 2021
- [j78]Srinivas Eswar, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park:
ORCA: Outlier detection and Robust Clustering for Attributed graphs. J. Glob. Optim. 81(4): 967-989 (2021) - [j77]Delin Chu, Weya Shi, Srinivas Eswar, Haesun Park:
An Alternating Rank-k Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization. SIAM J. Matrix Anal. Appl. 42(4): 1451-1479 (2021) - [j76]Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park:
PLANC: Parallel Low-rank Approximation with Nonnegativity Constraints. ACM Trans. Math. Softw. 47(3): 20:1-20:37 (2021) - [j75]Hannah Kim, Barry L. Drake, Alex Endert, Haesun Park:
ArchiText: Interactive Hierarchical Topic Modeling. IEEE Trans. Vis. Comput. Graph. 27(9): 3644-3655 (2021) - [c82]Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun:
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. AAAI 2021: 6548-6556 - 2020
- [j74]Joyce Jiyoung Whang, Rundong Du, Sangwon Jung, Geon Lee, Barry L. Drake, Qingqing Liu, Seonggoo Kang, Haesun Park:
MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs. Proc. VLDB Endow. 13(5): 698-711 (2020) - [c81]Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun:
TASTE: temporal and static tensor factorization for phenotyping electronic health records. CHIL 2020: 193-203 - [c80]Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park:
Hypergraph Random Walks, Laplacians, and Clustering. CIKM 2020: 495-504 - [c79]Lawton Manning, Grey Ballard, Ramakrishnan Kannan, Haesun Park:
Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization. HiPC 2020: 141-150 - [c78]Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park:
Distributed-memory parallel symmetric nonnegative matrix factorization. SC 2020: 74 - [i16]Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park:
Hypergraph Random Walks, Laplacians, and Clustering. CoRR abs/2006.16377 (2020) - [i15]Delin Chu, Wenya Shi, Srinivas Eswar, Haesun Park:
An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization. CoRR abs/2007.06118 (2020) - [i14]Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun:
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. CoRR abs/2010.04081 (2020)
2010 – 2019
- 2019
- [j73]Rundong Du, Barry L. Drake, Haesun Park:
Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization. J. Glob. Optim. 74(4): 861-877 (2019) - [c77]Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li:
Understanding Actors and Evaluating Personae with Gaussian Embeddings. AAAI 2019: 6570-6577 - [c76]Hannah Kim, Dongjin Choi, Barry L. Drake, Alex Endert, Haesun Park:
TopicSifter: Interactive Search Space Reduction through Targeted Topic Modeling. VAST 2019: 35-45 - [i13]Hannah Kim, Dongjin Choi, Barry L. Drake, Alex Endert, Haesun Park:
TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling. CoRR abs/1907.12079 (2019) - [i12]Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park:
PLANC: Parallel Low Rank Approximation with Non-negativity Constraints. CoRR abs/1909.01149 (2019) - [i11]Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun:
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records. CoRR abs/1911.05843 (2019) - 2018
- [j72]Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, Jaegul Choo:
PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision. Comput. Graph. Forum 37(3): 267-276 (2018) - [j71]Bo Dong, Matthew M. Lin, Haesun Park:
Integer Matrix Approximation and Data Mining. J. Sci. Comput. 75(1): 198-224 (2018) - [j70]Jaegul Choo, Hannah Kim, Edward Clarkson, Zhicheng Liu, Changhyun Lee, Fuxin Li, Hanseung Lee, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Haesun Park:
VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data. ACM Trans. Knowl. Discov. Data 12(1): 8:1-8:20 (2018) - [j69]Ramakrishnan Kannan, Grey Ballard, Haesun Park:
MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. 30(3): 544-558 (2018) - [c75]Woosang Lim, Rundong Du, Haesun Park:
CoDiNMF: Co-Clustering of Directed Graphs via NMF. AAAI 2018: 3611-3618 - [c74]Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park:
Multi-scale Nystrom Method. AISTATS 2018: 68-76 - [c73]Minsuk Choi, Dear Sungbok Shin, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo:
TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media. CHI 2018: 583 - [c72]Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun:
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. KDD 2018: 2080-2089 - [i10]Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun:
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. CoRR abs/1803.05473 (2018) - [i9]Hannah Kim, Denys Katerenchuk, Daniel Billet, Haesun Park, Boyang Li:
Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters. CoRR abs/1804.04164 (2018) - 2017
- [j68]Rundong Du, Da Kuang, Barry L. Drake, Haesun Park:
DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling. J. Glob. Optim. 68(4): 777-798 (2017) - [j67]Bum Chul Kwon, Hannah Kim, Emily Wall, Jaegul Choo, Haesun Park, Alex Endert:
AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings. IEEE Trans. Vis. Comput. Graph. 23(1): 221-230 (2017) - [c71]Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park:
PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. AAAI 2017: 1001-1009 - [c70]Barry L. Drake, Tiffany Huang, Ashley Beavers, Rundong Du, Haesun Park:
Event Detection Based on Nonnegative Matrix Factorization: Ceasefire Violation, Environmental, and Malware Events. AHFE (9) 2017: 158-169 - [c69]Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo:
STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection. ICDM 2017: 435-444 - [c68]Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park:
Outlier Detection for Text Data. SDM 2017: 489-497 - [i8]Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park:
Outlier Detection for Text Data : An Extended Version. CoRR abs/1701.01325 (2017) - [i7]Rundong Du, Barry L. Drake, Haesun Park:
Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization. CoRR abs/1703.09646 (2017) - 2016
- [j66]Hannah Kim, Jaegul Choo, Haesun Park, Alex Endert:
InterAxis: Steering Scatterplot Axes via Observation-Level Interaction. IEEE Trans. Vis. Comput. Graph. 22(1): 131-140 (2016) - [c67]Ramakrishnan Kannan, Grey Ballard, Haesun Park:
A high-performance parallel algorithm for nonnegative matrix factorization. PPoPP 2016: 9:1-9:11 - [i6]Ramakrishnan Kannan, Grey Ballard, Haesun Park:
MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization. CoRR abs/1609.09154 (2016) - [i5]Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, Jaegul Choo:
PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding. CoRR abs/1611.02568 (2016) - 2015
- [j65]Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park:
Weakly supervised nonnegative matrix factorization for user-driven clustering. Data Min. Knowl. Discov. 29(6): 1598-1621 (2015) - [j64]Hannah Kim, Jaegul Choo, Chandan K. Reddy, Haesun Park:
Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization. Neurocomputing 150: 570-582 (2015) - [j63]Da Kuang, Sangwoon Yun, Haesun Park:
SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering. J. Glob. Optim. 62(3): 545-574 (2015) - [j62]James P. Fairbanks, Ramakrishnan Kannan, Haesun Park, David A. Bader:
Behavioral clusters in dynamic graphs. Parallel Comput. 47: 38-50 (2015) - [j61]Nicolas Gillis, Da Kuang, Haesun Park:
Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization. IEEE Trans. Geosci. Remote. Sens. 53(4): 2066-2078 (2015) - [c66]Rundong Du, Zhongming Lu, Arka Pandit, Da Kuang, John Crittenden, Haesun Park:
Toward Social Media Opinion Mining for Sustainability Research. AAAI Workshop: Computational Sustainability 2015 - [c65]Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park:
Estimating Temporal Dynamics of Human Emotions. AAAI 2015: 168-174 - [c64]Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park:
Local Context Sparse Coding. AAAI 2015: 2260-2266 - [c63]Woosang Lim, Minhwan Kim, Haesun Park, Kyomin Jung:
Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets. ICML 2015: 1367-1375 - [c62]Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park:
Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. KDD 2015: 567-576 - [i4]Ramakrishnan Kannan, Grey Ballard, Haesun Park:
A High-Performance Parallel Algorithm for Nonnegative Matrix Factorization. CoRR abs/1509.09313 (2015) - 2014
- [j60]Jingu Kim, Yunlong He, Haesun Park:
Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework. J. Glob. Optim. 58(2): 285-319 (2014) - [j59]Ramakrishnan Kannan, Mariya Ishteva, Haesun Park:
Bounded matrix factorization for recommender system. Knowl. Inf. Syst. 39(3): 491-511 (2014) - [c61]Richard Fujimoto, Angshuman Guin, Michael Hunter, Haesun Park, Gaurav Kanitkar, Ramakrishnan Kannan, Michael Milholen, Sabra Neal, Philip Pecher:
A Dynamic Data Driven Application System for Vehicle Tracking. ICCS 2014: 1203-1215 - [c60]Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Chandan K. Reddy, Barry L. Drake, Haesun Park:
PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods. IEEE VAST 2014: 241-242 - [c59]Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Zhicheng Liu, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Barry L. Drake, Haesun Park:
VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data. IEEE VAST 2014: 243-244 - [c58]Jaegul Choo, Yi Han, Mengdie Hu, Hannah Kim, James Nugent, Francesco Poggi, Haesun Park, John T. Stasko:
Exploring anomalies in GAStech: VAST 2014 Mini Challenge 1 and 2. IEEE VAST 2014: 347-348 - [c57]Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, Haesun Park:
Understanding and promoting micro-finance activities in Kiva.org. WSDM 2014: 583-592 - [c56]Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park:
To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. WWW 2014: 249-260 - [i3]Seungyeon Kim, Haesun Park, Guy Lebanon:
Fast Spammer Detection Using Structural Rank. CoRR abs/1407.7072 (2014) - 2013
- [j58]Jaegul Choo, Haesun Park:
Customizing Computational Methods for Visual Analytics with Big Data. IEEE Computer Graphics and Applications 33(4): 22-28 (2013) - [j57]Carsten Görg, Zhicheng Liu, Jaeyeon Kihm, Jaegul Choo, Haesun Park, John T. Stasko:
Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw. IEEE Trans. Vis. Comput. Graph. 19(10): 1646-1663 (2013) - [j56]Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park:
UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization. IEEE Trans. Vis. Comput. Graph. 19(12): 1992-2001 (2013) - [c55]Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park:
Fast interactive visualization for multivariate data exploration. CHI Extended Abstracts 2013: 1773-1778 - [c54]Jingu Kim, Naren Ramakrishnan, Manish Marwah, Amip Shah, Haesun Park:
Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery. ICDM 2013: 360-369 - [c53]Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park:
Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects. ICDM Workshops 2013: 1093-1096 - [c52]Mariya Ishteva, Haesun Park, Le Song:
Unfolding Latent Tree Structures using 4th Order Tensors. ICML (3) 2013: 316-324 - [c51]Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park:
Hierarchical Tensor Decomposition of Latent Tree Graphical Models. ICML (3) 2013: 334-342 - [c50]Haesun Park:
Interactive visual analytics for high dimensional data. IDEA@KDD 2013: 8 - [c49]Edward Clarkson, Jaegul Choo, John Turgeson, Ray Decuir, Haesun Park:
Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. IDEA@KDD 2013: 36-44 - [c48]Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park:
Augmenting MATLAB with semantic objects for an interactive visual environment. IDEA@KDD 2013: 63-70 - [c47]Da Kuang, Haesun Park:
Fast rank-2 nonnegative matrix factorization for hierarchical document clustering. KDD 2013: 739-747 - [c46]Jaegul Choo, Hanseung Lee, Zhicheng Liu, John T. Stasko, Haesun Park:
An interactive visual testbed system for dimension reduction and clustering of large-scale high-dimensional data. Visualization and Data Analysis 2013: 865402 - [i2]Nicolas Gillis, Da Kuang, Haesun Park:
Hierarchical Clustering of Hyperspectral Images using Rank-Two Nonnegative Matrix Factorization. CoRR abs/1310.7441 (2013) - 2012
- [j55]Hanseung Lee, Jaeyeon Kihm, Jaegul Choo, John T. Stasko, Haesun Park:
iVisClustering: An Interactive Visual Document Clustering via Topic Modeling. Comput. Graph. Forum 31(3pt3): 1155-1164 (2012) - [j54]Hongwei Du, Qiang Ye, Jiaofei Zhong, Yuexuan Wang, Wonjun Lee, Haesun Park:
Polynomial-time approximation scheme for minimum connected dominating set under routing cost constraint in wireless sensor networks. Theor. Comput. Sci. 447: 38-43 (2012) - [c45]Ryder C. Winck, Jingu Kim, Wayne J. Book, Haesun Park:
A control loop structure based on semi-nonnegative matrix factorization for input-coupled systems. ACC 2012: 3484-3489 - [c44]Ramakrishnan Kannan, Mariya Ishteva, Haesun Park:
Bounded Matrix Low Rank Approximation. ICDM 2012: 319-328 - [c43]Liangda Li, Guy Lebanon, Haesun Park:
Fast bregman divergence NMF using taylor expansion and coordinate descent. KDD 2012: 307-315 - [c42]Yunlong He, Yanjun Qi, Koray Kavukcuoglu, Haesun Park:
Learning the Dependency Structure of Latent Factors. NIPS 2012: 2375-2383 - [c41]Da Kuang, Haesun Park, Chris H. Q. Ding:
Symmetric Nonnegative Matrix Factorization for Graph Clustering. SDM 2012: 106-117 - [c40]Jaegul Choo, Shawn Bohn, Grant Nakamura, Amanda M. White, Haesun Park:
Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling. SDM 2012: 177-188 - [c39]Jingu Kim, Renato D. C. Monteiro, Haesun Park:
Group Sparsity in Nonnegative Matrix Factorization. SDM 2012: 851-862 - [c38]Ryder C. Winck, Jingu Kim, Wayne J. Book, Haesun Park:
Command Generation Techniques for a Pin Array Using the SVD and the SNMF. SyRoCo 2012: 411-416 - [p2]Jingu Kim, Haesun Park:
Fast Nonnegative Tensor Factorization with an Active-Set-Like Method. High-Performance Scientific Computing 2012: 311-326 - [p1]Jaegul Choo, Fuxin Li, Keehyoung Joo, Haesun Park:
A Visual Analytics Approach for Protein Disorder Prediction. Expanding the Frontiers of Visual Analytics and Visualization 2012: 163-174 - [i1]Mariya Ishteva, Haesun Park, Le Song:
Unfolding Latent Tree Structures using 4th Order Tensors. CoRR abs/1210.1258 (2012) - 2011
- [j53]Wooyoung Kim, Bernard Chen, Jingu Kim, Yi Pan, Haesun Park:
Sparse nonnegative matrix factorization for protein sequence motif discovery. Expert Syst. Appl. 38(10): 13198-13207 (2011) - [j52]Jingu Kim, Haesun Park:
Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons. SIAM J. Sci. Comput. 33(6): 3261-3281 (2011) - [c37]Yunlong He, Renato D. C. Monteiro, Haesun Park:
A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria. SDM 2011: 771-782 - [c36]Anoop Korattikara Balan, Levi Boyles, Max Welling, Jingu Kim, Haesun Park:
Statistical Optimization of Non-Negative Matrix Factorization. AISTATS 2011: 128-136 - 2010
- [c35]Hongwei Du, Qiang Ye, Jiaofei Zhong, Yuexuan Wang, Wonjun Lee, Haesun Park:
PTAS for Minimum Connected Dominating Set with Routing Cost Constraint in Wireless Sensor Networks. COCOA (1) 2010: 252-259 - [c34]Barry L. Drake, Jingu Kim, Mahendra Mallick, Haesun Park:
Supervised Raman spectra estimation based on nonnegative rank deficient least squares. FUSION 2010: 1-8 - [c33]Jaegul Choo, Hanseung Lee, Jaeyeon Kihm, Haesun Park:
iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction. IEEE VAST 2010: 27-34 - [c32]Zhicheng Liu, Carsten Görg, Jaeyeon Kihm, Hanseung Lee, Jaegul Choo, Haesun Park, John T. Stasko:
Data ingestion and evidence marshalling in Jigsaw VAST 2010 Mini Challenge 1 award: Good support for data ingest. IEEE VAST 2010: 271-272 - [c31]Hanseung Lee, Jaegul Choo, Carsten Görg, Jaeeun Shim, Jaeyeon Kihm, Zhicheng Liu, Haesun Park, John T. Stasko:
GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation. IEEE VAST 2010: 291-292 - [c30]Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park:
p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics. SDM 2010: 502-513 - [c29]Jingu Kim, Haesun Park:
Fast Active-set-type Algorithms for L1-regularized Linear Regression. AISTATS 2010: 397-404
2000 – 2009
- 2009
- [j51]David J. Kasik, David S. Ebert, Guy Lebanon, Haesun Park, William M. Pottenger:
Data transformations and representations for computation and visualization. Inf. Vis. 8(4): 275-285 (2009) - [c28]Mahendra Mallick, Barry L. Drake, Haesun Park, Andy Register, William Dale Blair, Phil West, Ryan D. Palkki, Aaron D. Lanterman, Darren Emge:
Comparison of Raman spectra estimation algorithms. FUSION 2009: 2239-2246 - [c27]Jaehyun Park, Joohwan Chun, Haesun Park:
Efficient GSVD Based Multi-User MIMO Linear Precoding and Antenna Selection Scheme. ICC 2009: 1-6 - [c26]Jaegul Choo, Shawn Bohn, Haesun Park:
Two-stage framework for visualization of clustered high dimensional data. IEEE VAST 2009: 67-74 - [c25]Jaegul Choo, Barry L. Drake, Haesun Park:
Hierarchical Linear Discriminant Analysis for Beamforming. SDM 2009: 894-905 - 2008
- [j50]S. Lee, S. Soak, K. Kim, Haesun Park, Moongu Jeon:
Statistical properties analysis of real world tournament selection in genetic algorithms. Appl. Intell. 28(2): 195-205 (2008) - [j49]Hyunsoo Kim, Haesun Park, Barry L. Drake:
Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations. BMC Bioinform. 9 (2008) - [j48]Cheong Hee Park, Haesun Park:
A comparison of generalized linear discriminant analysis algorithms. Pattern Recognit. 41(3): 1083-1097 (2008) - [j47]Hyunsoo Kim, Haesun Park:
Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method. SIAM J. Matrix Anal. Appl. 30(2): 713-730 (2008) - [c24]Jingu Kim, Haesun Park:
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons. ICDM 2008: 353-362 - [c23]Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo Kang:
Linear discriminant analysis for data with subcluster structure. ICPR 2008: 1-4 - 2007
- [j46]Hyunsoo Kim, Haesun Park:
Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis. Bioinform. 23(12): 1495-1502 (2007) - [j45]Hyunsoo Kim, Haesun Park, Barry L. Drake:
Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations. BMC Bioinform. 8(S-9) (2007) - [j44]Sangwook Lee, Haesun Park, Moongu Jeon:
Binary Particle Swarm Optimization with Bit Change Mutation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(10): 2253-2256 (2007) - [j43]C. H. Park, Moongu Jeon, Panos M. Pardalos, Haesun Park:
Quality assessment of gene selection in microarray data. Optim. Methods Softw. 22(1): 145-154 (2007) - [j42]Hyunsoo Kim, Barry L. Drake, Haesun Park:
Multiclass classifiers based on dimension reduction with generalized LDA. Pattern Recognit. 40(11): 2939-2945 (2007) - [c22]Hyunsoo Kim, Haesun Park, Hongyuan Zha:
Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization. BIBE 2007: 263-269 - [c21]Hyunsoo Kim, Haesun Park, Lars Eldén:
Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares. BIBE 2007: 1147-1151 - [c20]Jaegul Choo, Hyunsoo Kim, Haesun Park, Hongyuan Zha:
A Comparison of Unsupervised Dimension Reduction Algorithms for Classification. BIBM 2007: 71-77 - [c19]Vijay Balasubramaniyan, Mustaque Ahamad, Haesun Park:
CallRank: Combating SPIT Using Call Duration, Social Networks and Global Reputation. CEAS 2007 - [c18]Hyunsoo Kim, Haesun Park:
Cancer Class Discovery Using Non-negative Matrix Factorization Based on Alternating Non-negativity-Constrained Least Squares. ISBRA 2007: 477-487 - [c17]Hyunsoo Kim, Haesun Park, Hongyuan Zha:
Distance Preserving Dimension Reduction for Manifold Learning. SDM 2007: 527-532 - 2006
- [j41]Hyunsoo Kim, Gene H. Golub, Haesun Park:
Missing value estimation for DNA microarray gene expression data: local least squares imputation. Bioinform. 22(11): 1410-1411 (2006) - [j40]Jesse L. Barlow, Haesun Park, Patrick J. F. Groenen, Hongyuan Zha:
2nd Special issue on matrix computations and statistics. Comput. Stat. Data Anal. 50(1): 1-4 (2006) - [j39]Peg Howland, Jianlin Wang, Haesun Park:
Solving the small sample size problem in face recognition using generalized discriminant analysis. Pattern Recognit. 39(2): 277-287 (2006) - [j38]Hyunsoo Kim, Barry L. Drake, Haesun Park:
Adaptive Nonlinear Discriminant Analysis by Regularized Minimum Squared Errors. IEEE Trans. Knowl. Data Eng. 18(5): 603-612 (2006) - [j37]Jieping Ye, Ravi Janardan, Qi Li, Haesun Park:
Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 18(10): 1312-1322 (2006) - [c16]Hyunsoo Kim, Haesun Park:
Discriminant analysis using nonnegative matrix factorization for nonparametric multiclass classification. GrC 2006: 182-187 - [c15]Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park:
Orthogonal nonnegative matrix t-factorizations for clustering. KDD 2006: 126-135 - 2005
- [j36]Hyunsoo Kim, Gene H. Golub, Haesun Park:
Missing value estimation for DNA microarray gene expression data: local least squares imputation. Bioinform. 21(2): 187-198 (2005) - [j35]Hyunsoo Kim, Jeff X. Zhou, Herbert C. Morse III, Haesun Park:
A three-stage framework for gene expression data analysis by L1-norm support vector regression. Int. J. Bioinform. Res. Appl. 1(1): 51-62 (2005) - [j34]Hyunsoo Kim, Peg Howland, Haesun Park:
Dimension Reduction in Text Classification with Support Vector Machines. J. Mach. Learn. Res. 6: 37-53 (2005) - [j33]Cheong Hee Park, Haesun Park:
Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. Pattern Recognit. 38(4): 495-503 (2005) - [j32]Cheong Hee Park, Haesun Park:
Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition. SIAM J. Matrix Anal. Appl. 27(1): 87-102 (2005) - [j31]Cheong Hee Park, Haesun Park:
A Relationship between Linear Discriminant Analysis and the Generalized Minimum Squared Error Solution. SIAM J. Matrix Anal. Appl. 27(2): 474-492 (2005) - [j30]Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar:
IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. IEEE Trans. Knowl. Data Eng. 17(9): 1208-1222 (2005) - 2004
- [j29]Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park:
An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 982-994 (2004) - [j28]Peg Howland, Haesun Park:
Generalizing Discriminant Analysis Using the Generalized Singular Value Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 995-1006 (2004) - [j27]Cheong Hee Park, Haesun Park:
Nonlinear feature extraction based on centroids and kernel functions. Pattern Recognit. 37(4): 801-810 (2004) - [c14]Hyunsoo Kim, Gene H. Golub, Haesun Park:
Imputation of Missing Values in DNA Microarray Gene Expression Data. CSB 2004: 572-573 - [c13]Hyunsoo Kim, Haesun Park:
Incremental and Decremental Least Squares Support Vector Machine and Its Application to Drug Design. CSB 2004: 656-657 - [c12]Cheong Hee Park, Haesun Park, Panos M. Pardalos:
A Comparative Study of Linear and Nonlinear Feature Extraction Methods. ICDM 2004: 495-498 - [c11]Jieping Ye, Ravi Janardan, Qi Li, Haesun Park:
Feature extraction via generalized uncorrelated linear discriminant analysis. ICML 2004 - [c10]Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar:
IDR/QR: an incremental dimension reduction algorithm via QR decomposition. KDD 2004: 364-373 - [c9]Peg Howland, Haesun Park:
Equivalence of Several Two-Stage Methods for Linear Discriminant Analysis. SDM 2004: 69-77 - [c8]Hyunsoo Kim, Haesun Park:
Data Reduction in Support Vector Machines by a Kernelized Ionic Interaction Model. SDM 2004: 507-511 - 2003
- [j26]Lei Zhang, Haesun Park, J. Ben Rosen:
Exponential Modeling with Unknown Model Order Using Structured Nonlinear Total Least Norm. Adv. Comput. Math. 19(1-3): 307-322 (2003) - [j25]Haesun Park, Weili Wu, Zhen Liu, Xiaoyu Wu, Hong G. Zhao:
DNA Screening, Pooling Design and Simplicial Complex. J. Comb. Optim. 7(4): 389-394 (2003) - [j24]Yunjae Jung, Haesun Park, Ding-Zhu Du, Barry L. Drake:
A Decision Criterion for the Optimal Number of Clusters in Hierarchical Clustering. J. Glob. Optim. 25(1): 91-111 (2003) - [j23]Peg Howland, Moongu Jeon, Haesun Park:
Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value Decomposition. SIAM J. Matrix Anal. Appl. 25(1): 165-179 (2003) - [c7]Cheong Hee Park, Haesun Park:
Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. ICDM 2003: 243-250 - [c6]Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park:
A new optimization criterion for generalized discriminant analysis on undersampled problems. ICDM 2003: 419-426 - 2001
- [c5]Moongu Jeon, Haesun Park, J. Ben Rosen:
Dimension reduction based on centroids and least squares for efficient processing of text data. SDM 2001: 1-13 - 2000
- [j22]J. Ben Rosen, Haesun Park, John Glick, Lei Zhang:
Accurate Solution to Overdetermined Linear Equations with Errors Using L1 Norm Minimization. Comput. Optim. Appl. 17(2-3): 329-341 (2000) - [j21]Haesun Park, Lars Eldén:
Schur-Type Methods for Solving Least Squares Problems with Toeplitz Structure. SIAM J. Sci. Comput. 22(2): 406-430 (2000)
1990 – 1999
- 1999
- [j20]Lars Eldén, Haesun Park:
A Procrustes problem on the Stiefel manifold. Numerische Mathematik 82(4): 599-619 (1999) - 1998
- [j19]J. Ben Rosen, Haesun Park, John Glick:
Structured Total Least Norm for Nonlinear Problems. SIAM J. Matrix Anal. Appl. 20(1): 14-30 (1998) - 1996
- [j18]J. Ben Rosen, Haesun Park, John Glick:
Total Least Norm Formulation and Solution for Structured Problems. SIAM J. Matrix Anal. Appl. 17(1): 110-126 (1996) - [j17]Sabine Van Huffel, Haesun Park, J. Ben Rosen:
Formulation and solution of structured total least norm problems for parameter estimation. IEEE Trans. Signal Process. 44(10): 2464-2474 (1996) - 1995
- [j16]Sabine Van Huffel, Haesun Park:
Efficient reduction algorithms for bordered band matrices. Numer. Linear Algebra Appl. 2(2): 95-113 (1995) - [j15]Haesun Park, Lars Eldén:
Downdating the Rank-Revealing URV Decomposition. SIAM J. Matrix Anal. Appl. 16(1): 138-155 (1995) - [j14]Kyeongah Yoo, Haesun Park:
Fast residual computation for sliding window recursive least squares methods. Signal Process. 45(1): 85-95 (1995) - [c4]Haesun Park, J. Ben Rosen, John Glick:
Structured total least norm method for Toeplitz problems. ICASSP 1995: 1141-1144 - 1994
- [j13]Sabine Van Huffel, Haesun Park:
Parallel Tri- and Bi-Diagonalization of Bordered Bidiagonal Matrices. Parallel Comput. 20(8): 1107-1128 (1994) - [j12]Ding-Zhu Du, Haesun Park:
On Competitive Group Testing. SIAM J. Comput. 23(5): 1019-1025 (1994) - [j11]Andrew A. Anda, Haesun Park:
Fast Plane Rotations with Dynamic Scaling. SIAM J. Matrix Anal. Appl. 15(1): 162-174 (1994) - [j10]Haesun Park:
ESPRIT Direction-of-Arrival Estimation in the Presence of Spatially Correlated Noise. SIAM J. Matrix Anal. Appl. 15(1): 185-193 (1994) - [j9]Åke Björck, Haesun Park, Lars Eldén:
Accurate Downdating of Least Squares Solutions. SIAM J. Matrix Anal. Appl. 15(2): 549-568 (1994) - [j8]Lars Eldén, Haesun Park:
Block Downdating of Least Squares Solutions. SIAM J. Matrix Anal. Appl. 15(3): 1018-1034 (1994) - [c3]Haesun Park, Sabine Van Huffel, Lars Eldén:
Fast algorithms for exponential data modeling. ICASSP (4) 1994: 25-28 - 1993
- [j7]Haesun Park, Lars-Magnus Ewerbring:
An Algorithm for the Generalized Singular Value Decomposition on Massively Parallel Computers. J. Parallel Distributed Comput. 17(4): 267-276 (1993) - [c2]Andrew A. Anda, Haesun Park:
Fast QR Decomposition for Weighted Least Squares Problems. PPSC 1993: 399-404 - 1992
- [j6]Haesun Park:
On Multiple Error Detection in Matrx Triangularizations Using Checksum Methods. J. Parallel Distributed Comput. 14(1): 90-97 (1992) - 1991
- [j5]Haesun Park:
A parallel algorithm for the unbalanced orthogonal Procrustes problem. Parallel Comput. 17(8): 913-923 (1991) - [c1]Haesun Park, Lars-Magnus Ewerbring:
An algorithm for the generalized singular value decomposition on massively parallel computers. ICS 1991: 136-145 - 1990
- [j4]Patricia J. Eberlein, Haesun Park:
Efficient Implementation of Jacobi Algorithms and Jacobi Sets on Distributed Memory Architectures. J. Parallel Distributed Comput. 8(4): 358-366 (1990)
1980 – 1989
- 1989
- [j3]Franklin T. Luk, Haesun Park:
A Proof of Convergence for Two Parallel Jacobi SVD Algorithms. IEEE Trans. Computers 38(6): 806-811 (1989) - 1988
- [j2]Franklin T. Luk, Haesun Park:
An Analysis of Algorithm-Based Fault Tolerance Techniques. J. Parallel Distributed Comput. 5(2): 172-184 (1988) - [j1]Franklin T. Luk, Haesun Park:
Fault-Tolerant Matrix Triangularizations on Systolic Arrays. IEEE Trans. Computers 37(11): 1434-1438 (1988) - 1987
- [b1]Haesun Park:
On the equivalence and convergence of parallel Jacobi SVD algorithms. Cornell University, USA, 1987
Coauthor Index
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