Haesun Park

2017

• Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization
  Journal of Global Optimization, to appear. (with R. Du and B. Drake)
• Hierarchical Community Detection via Rank-2 Symmetric Nonnegative Matrix Factorization,
  Computational Social Networks, to appear (with R. Du, D. Kuang, and B. Drake)
• MPI-FAUN: An MPI-based framework for alternating-updating nonnegative matrix factorization,
  IEEE Transactions on Knowledge and Data Engineering, to appear (with R. Kannan and G. Ballard)
• CoDiNMF: Co-clustering of directed graphs via NMF,
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI18), to appear (with W. Lim and R. Du)
• VisIRR: Visual Analytics for Information Retrieval and Recommendation for large-scale document data,
  ACM Transactions on Knowledge Discovery from Data, to appear. (with J. Choo, H. Kim, E. Clarkson, Z. Liu, C. Lee, F. Li, H. Lee, R. Kannan, C. Stolper, and J. Stasko).
• Integer matrix approximation and data mining,
  Journal of Scientific Computing, to appear. (with B. Dong and M. Lin)
• Outlier detection for text data,
  Proceedings of the SIAM International Conference on Data Mining (SDM17), to appear. (with R. Kannan, H. Woo, and C. Aggarwal)
• Hierarchical ordering with partial pairwise hierarchical relationships on Macaque brain data sets,
  PLOS One, to appear. (with W. Lim, J. Lee, Y. Li, D. Bae, D. Kim, and K. Jung)
• STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection,
  Proceedings of IEEE International Conference on Data Mining 2017, to appear. (with S. Shin, M. Choi, J. Choi, S. Langevin, C. Bethune, P. Horne, N. Kronenfeld, R. Kannan, B. Drake, and J. Choo)
• DC-NMF: Nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling,
  Journal of Global Optimization, 68:777-798, 2017. (with R. Du, D. Kuang, and B. Drake)
• AxiSketcher: Interactive nonlinear axis mapping of visualizations through user drawings,
  IEEE Transactions on Visualization and Computer Graphics (TVCG), 23(1):221-230, 2017. (with B. Kwon, H. Kim, E. Wall, J. Choo, and A. Endert)
• Event Detection based on Nonnegative Matrix Factorization: Ceasefire Violat ion, Environmental, and Malware Events,
  Proceedings of the 8th International Conference on Applied Human Factors and Ergonomics (AHFE2017), Human Factors in Cybersecurity, Los Angeles, CA, 2017, Springer. (with B. Drake, T. Huang, A. Scripka Beavers, and R. Du)
• PIVE:Per-Iteration Visualization Environment for real-time interactive visualization of computational methods,
  Proceedings for the Thirty-First AAAI Conference on Artificial Intelligence (AAAI17), 2017. (with H. Kim, J. Choo, C. Lee, H. Lee, and C. Reddy)
• Data-enabled public preferences inform integration of autonomous vehicles with transit-oriented development in Atlanta,
  Cities, The International Journal of Urban Policy and Planning, 63:118-127, 2017. (with Z. Lu, R. Du, D. Ellen, and J. Crittenden)

2016

• InterAxis: steering scatterplot axes via observation-level interaction,
  IEEE Transactions on Visualization and Computer Graphics (TVCG), 22(1):131-140, 2016. (with H. Kim, J. Choo, and A. Endert)
• A high-performance parallel algorithm for nonnegative matrix factorization,
  Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP16), pp. 9:1-9:11, 2016. (with G. Ballard and R. Kannan)
• Bounded matrix low rank approximation,
  Non-negative Matrix Factorisation Techniques: Advances in Theory and Applications, Ed. G.R. Naik, Springer Berlin Heidelberg, pp. 89-118, 2016. (with R. Kannan, M. Ishteva, and B. Drake)
• Tile-Based Spatio-Temporal Visual Analytics via Topic Modeling on Social Media,
  Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST16), Baltimore, MD (Poster paper), 2016. (with Minsuk Choi, Jaeseong Yoo, Ashley S. Beavers, Scott Langevin, Chris Bethune, Sean McIntyre, Barry L. Drake, and Jaegul Choo)

2015

• SymNMF: Nonnegative low-rank approximation of a similarity matrix for graph clustering
  Journal of Global Optimization , 62(3): 545-574, 2015. (with D. Kuang and S. Yun)
• Hierarchical clustering of hyperspectral images using rank-two nonnegative matrix factorization
  IEEE Transactions on Geoscience and Remote Sensing, 53(4): 2066-2078, 2015. (with N. Gillis and D. Kuang)
• Doubly supervised embedding based on label information and intrinsic clusters for visualization
  Neurocomputing, Vol. 150, Part B, pp. 570-582, 2015 (with H. Kim, J. Choo, and C. Reddy)
• Weakly supervised nonnegative matrix factorization for user-driven clustering
  Data Mining and Knowledge Discovery, 29(6):1598-1621, 2015. (with J. Choo, C. Lee, and C. Reddy)
• Double Nystrom method: an efficient and accurate Nystrom scheme for large-scale data sets
  Proceedings of the International Conference on Machine Learning (ICML15), Lille, France, July, 2015, to appear. (with W. Lim, M. Kim, and K. Jung)
• Simultaneous discovery of common and discriminative topics via joint nonnegative matrix factorization
  Proceedings of ACM SIG Conference on Knowledge Discovery and Data Mining (KDD15), Sydney, Australia, August, 2015. (with H. Kim, J. Choo, J. Kim, and C. Reddy)
• Estimating temporal dynamics of human emotions
  Proceedings of the Twenty-ninth AAAI Conference on Artificial Intelligence (AAAI15), Austin, TX, January, 2015. (with S. Kim, J. Lee, and G. Lebanon)
• Local context sparse coding
  Proceedings of the Twenty-ninth AAAI Conference on Artificial Intelligence (AAAI15), Austin, TX, January, 2015. (with S. Kim, J. Lee, and G. Lebanon)
• Behavioral clusters in dynamic graphs
  Parallel Computing, 47:38-50, 2015. (with J. Fairbanks, R. Kannan, and D. Bader)
• Nonnegative matrix factorization for interactive topic modeling and document clustering
  Partitional Clustering Algorithms (M.E. Celebi, Ed.), pp. 215-243, 2015, Springer. (with D. Kuang and J. Choo)

2014

• Algorithms for nonnegative matrix and tensor factorizations: A unified view based on block coordinate descent framework
  Journal of Global Optimization, 58(2): 285-319, 2014. (with J.Kim and Y. He)
• Bounded matrix factorization for recommender system
  Knowledge and Information Systems, 39(3): 491-511, 2014. (with R. Kannan and M. Ishteva)
• Visual analytics for interactive exploration of large-scale document data via Nonnegative Matrix Factorization
  Proceedings for BigData Innovators Gathering (BIG) 2014, co-located with WWW2014, Seoul, Korea, 2014. (with J. Choo and B. Drake)
• To Gather Together for a Better World:Understanding and leveraging communities in micro-lending recommendation
  Proceedings for the Twenty-third International Conference on World Wide Web (WWW), pp. 249-260, Seoul, Korea, , 2014. (with J. Choo, D. Lee, B. Dilkina and H. Zha)
• Understanding and promoting micro-finance activities in Kiva.org
  Proceedings for the ACM Conference on Web Search and Data mining (WSDM14)}, pp. 583-592, NY, NY, 2014. (with J. Choo, C. Lee, D. Lee, and H. Zha)
• PIVE:A Per-iteration visualization environment for supporting real-time interactions with computational methods,
  Proceedings for the IEEE Conference on Visual Analytics Science and Technology (VAST14), Winner of Best Poster Award, 2014. (with J. Choo. C. Lee, H. Kim, H. Lee, C. Reddy, and B. Drake)

2013

• Fast rank-2 nonnegative matrix factorization for hierarchical document clustering
  Proceedings of the ACM SIG Conference on Knowledge Discovery and Data Mining (KDD13), pp. 739-747 , 2013. (with D. Kuang)
• UTOPIAN: User-driven Topic modeling based on interactive nonnegative matrix factorization
  IEEE Transactions on Visualization and Computer Graphics (TVCG), 19-12, pp. 1992-2001, 2013. (with J. Choo, C. Lee, and C. Reddy)
• Unfolding Latent Tree Structures using 4th Order Tensors
  Proceedings of the International Conference on Machine Learning (ICML13), Atlanta, GA, 2013. (with M. Ishteva, and L. Song)
• Hierarchical tensor decomposition of latent tree graphical models,
  Proceedings of the International Conference on Machine Learning (ICML13), Atlanta, GA, 2013. (with L. Song, M. Ishteva, A. Parikh, and E. Xing)
• Customizing computational methods for visual analytics with big data
  IEEE Computer Graphics and Applications, Special Issue: Big Data Visualization, 33-4, pp. 22-28, 2013. (with J. Choo)
• Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw
  IEEE Transactions on Visualization and Computer Graphics (TVCG), , 19-10, pp. 1646-1663, 2013. (with C. Görg, Z. Liu, J. Kihm, J. Choo, and J. Stasko)
• An interactive visual testbed system of dimension reduction and clustering for large-scale highdimensional data
  IS&T/SPIE Electronics Imaging 2013: Conference on Visualization and Data Analysis, Feb. 2013, Burlingame, CA, USA. (with J. Choo, H. Lee, Z. Liu, and J. Stasko)
• Topic modeling via nonnegative matrix factorization on probability simplex,
  Proceedings for the Workshop on Topic Models: Computation, Application, and Evaluation (NIPS13), Neural Information Processing Systems Foundation Conference, Lake Tahoe, Nevada, December 10, 2013. (with L. Song, and B. Xie)
• Interactive data analysis tool by augmenting MATLAB with semantic objects
  Proceedings for the thirteenth IEEE International Conference on Data Mining (ICDM13), ICDM-2013 Demo Workshop, 2013. (with C. Lee, J. Choo, and D. Chau)
• Regularization paths for sparse nonnegative least squares problems with applications to life cycle assessment tree discovery,
  Proceedings for the thirteenth IEEE International Conference on Data Mining (ICDM13), 2013. (with J. Kim, N.Ramakrishnan, M. Marwah, and A. Shah)
• Augmenting MATLAB with semantic objects for an interactive visual environment,
  IEEE International Conference on Data Mining Demo Paper, 2013. (with C. Lee, J.Choo, and D. Chau).

2012

• iVisClustering:an interactive visual document clustering via topic modeling
  Computer Graphics Forum, 31(3pt3):1155-1164, 2012. (with H. Lee, J. Kihm, J. Choo, and J. Stasko)
• Bounded matrix low rank approximation
  IEEE International Conference on Data Mining (ICDM12), 2012. (with R. Kannan and M. Ishteva)
• Learning the dependency structure of latent factors
  Conference on Neural Information Processing Systems (NIPS12), pp. 2375-2383, 2012. (with Y. He, Y. Qi, and K. Kavukcuoglu)
• Fast Bregman divergence NMF using Taylor expansion and coordinate descent
  Proceedings of ACM SIG Conference on Knowledge Discovery and Data Mining (KDD12), pp. 307-315, Beijing, China, 2012. (with L. Li and G. Lebanon)
• A Visual Analytics Approach for Protein Disorder Prediction
  Expanding the Frontiers of Visual Analytics and Visualization pp. 163-174, 2012. (with J. Choo, L. Fuxin, and K. Joo)
• Command Generation Techniques for a Pin Array using the SVD and the SNMF
  Proceedings of the 10th IFAC Symposium on Robot Control (SYROCO12), pp. 411-416, Dubrovnik, Croatia, 2012. (with R. Winck, J. Kim, and W.Book)
• Semi-Nonnegative Matrix Factorization for Input-coupled Systems
  Proceedings of the American Control Conference, pp. 3484-3489, Montreal, Canada, 2012. (with R. Winck, J. Kim, and W. Book)
• Symmetric nonnegative matrix factorization for graph clustering
  Proceedings of the SIAM International Conference on Data Mining, 2012. (with D. Kuang and C. Ding)
• Group sparsity in nonnegative matrix factorization
  Proceedings of the SIAM International Conference on Data Mining, 2012. (with J.Kim and R. Monteiro)
• Heterogeneous data fusion via space alignment using nonmetric multidimensional scaling
  Proceedings of the SIAM International Conference on Data Mining, 2012. (with J. Choo et al.)
• A control loop structure based on semi-nonnegative matrix factorization for input-coupled systems
  Proceedings of the SIAM International Conference on Data Mining, 2012. (with R. Winck, J. Kim and W. Book)

2011

• Polynomial-time approximation scheme for minimum connected dominating set under routing cost constraint in wireless sensor networks
  Theoretical Computer Science, 2011 (with H. Du, Q. Ye, J. Zhong, Y. Wang, and W. Lee)
• Fast nonnegative matrix factorization: An active-set-like method and comparisons
  SIAM Journal on Scientific Computing, 33(6), pp. 3261-3281, 2011. (with J.Kim)
• Fast nonnegative tensor factorization with an active-set-like method
  High Performance Scientific Comptuing: Algorithms and Applications, Springer, 2011. (with J.Kim)
• Sparse nonnegative matrix factorization for protein sequence motif discovery
  Expert Systems and Applications, 38(10):13198-13207, 2011. (with W.Kim, B. Chen, J. Kim, and Y. Pan)
• A fast algorithm for sparse PCA and a new sparsity control criteria
  Proceedings of SIAM International Conference on Data Mining, Mesa, AR, April, 2011. (with Y. He, R. Monteiro)
• Statistical optimization of non-negative matrix factorization
  Proceedings of The Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 2011, JMLR: W&CP 15, pp 128-136, Fort Lauderdale, FL, USA, Apr. 11-13, 2011. (with A. Korattikara, L. Boyles, M. Welling, and J. Kim)

2010

• Generalized Singular Value Decomposition based algorithm for multi-user multiple-input multiple-output linear precoding and antenna selection
  IET Communications, 4(16):1899-1907, 2010. (with J. Park and J. Chun)
• PTAS for minimum connected dominating set with routing cost constraint in wireless sensor networks
  Proceedings of the 4th Annual International Conference on Combinatorial Optimization and Applications, pp. 252-259, The Big Island, Hawaii, 2010. (with H. Du, Q. Ye, J. Zhong, and W. Lee)
• iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction
  Proceedings of the IEEE Visual Analytics Science and Technology (VAST10) Conference, Salt Lake City, Utah, October, 2010. (with J. Choo, H. Lee, and J. Kihm)
• Fast active-set-type algorithms for L1-regularized linear regression
  Proceedings of the Thirteenth Internional Conference on Artificial Intelligence and Statistics (AISTATS10), May 2010. (with J. Kim)
• Supervised Raman spectra estimation based on Nonnegative rank deficient least squares
  Proceedings of the 13th International Conference on Information Fusion, Edinburgh, 2010. (with B. Drake, J. Kim, and M. Mallick)
• p-ISOMAP: Efficient Parameter Update for ISOMAP with Applications to Visualization
  Proceedings of SIAM International Conference on Data Mining, 2010. (with J. Choo, C. Reddy, and H. Lee)

2009

• Data Transformations and Representations for Computation and Visualization
  Information Visualization, 8:275-285, 2009. (with D.J. Kasik, D. Ebert, G. Lebanon, and W.M. Pottenger)
• Raman spectra estimation with classical and nonnegative least squares
  Proceedings of the joint conference of ASCM2009 and MACIS2009, pp. 44-53, Fukuoka, Japan, December 14-17, 2009. (with B. Drake, J. Kim, and M. Mallick)
• Comparison of Raman spectra estimation algorithms
  Proceedings of the 12th International Conference on Information Fusion, pp. 2239-2246, Seattle, WA, July 6-9, 2009. (with M. Mallick, B. Drake, et al.)
• Efficient GSVD based multi-user MIMO linear precoding and antenna selection scheme
  Proceedings of IEEE International Conference on Communications (ICC09), pp. 1-6, Dresden, Germany, June 14-18, 2009. (with J. Park and J. Chun)
• Two-stage Methods for Linear Discriminant Analysis: Equivalent Results at a Lower Cost
  Technical Report GT-CSE, 2009 (with P. Howland)
• Two-stage Framework for Visualization of Clustered High Dimensional Data
  Proceedings of IEEE Symposium on Visual Analytics Science and Technology, 2009 (with J. Choo and S. Bohn)
• Hierarchical Linear Discriminant Analysis for Beamforming
  Proceedings of the SIAM International Conference on Data Mining, pp. 894-905, 2009. (with J. Choo and B.L. Drake)

2008

• Statistical properties analysis of real world tournament selection in genetic algorithms
  Applied Intelligence, 28-2:195-205, 2008. (with S. Lee, S. Soak, and M. Jeon)
• Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
  Proceedings of the IEEE International Conference on Data Mining, pp. 353-362, 2008. (with J. Kim)
• Linear Discriminant Analysis for Hierarchically Clustered Data with Regularization
  Proceedings of the International Conference on Pattern Recognition, 2008. (with J. Choo and B.L. Drake)
• Sparse Nonnegative Matrix Factorization for Clustering
  Technical Report GT-CSE-08-01, 2008 (with J. Kim)
• A comparison of generalized linear discriminant analysis algorithms
  Pattern Recognition, 41-3:1083-1097, 2008.
  (with C. Park)
• Nonnegative Matrix Factorization Based on Alternating Non-negativity-constrained Least Squares and the Active Set Method
  SIAM Journal on Matrix Analysis and Applications,30(2):713-730, 2008.
  (with H. Kim)

2007

• Binary particle swarm optimization with bit change mutation
  IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences, E90-A-10:2253-2256, 2007. (with S. Lee and M. Jeon)
• Quality assessment of gene selection in microarray data
  Optimization Methods and Software, 22-1:145-154, 2007. (with C. Park, M. Jeon, and P. Pardalos)
• Distance preserving dimension reduction using the QR factorization and the Cholesky factorization
  Proceedings of IEEE 7th International Conference on Bioinformatics and Bioengineering (BIBE07), Vol. I, pp. 263-269, Boston, MA, Oct. 14-17, 2007. (with H. Kim and H. Zha)
• A comparison of unsupervised dimension reduction algorithms for classification
  Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine 2007 (BIBM07), pp. 71-77, Silicon Valley, CA, Nov. 2-4, 2007. (with J. Choo, H. Kim, and H. Zha)
• Cancer class discovery using non-negative matrix factorization based on alternating non-negativity constrained least squares
  Proceedings of ISBRA International Symposium on Bioinformatics Research and Applications (ISBRA07), Lecture Notes in Computer Science, Bioinformatics Research and Applications, 4462/2007, pp. 477-487, 2007, Springer. (with H. Kim)
• Distance preserving dimension reduction for manifold learning
  Proceedings of SIAM International Conference on Data Mining (SDM07), pp. 527-532, Minneapolis, MN, April, 2007. (with H. Kim and H. Zha)
• Non-negative tensor factorization based on alternating large-scale non-negativity-constrained least squares
  Proceedings of IEEE 7th International Conference on Bioinformatics and Bioengineering (BIBE07),Vol. II, pp. 1147-1151, 2007.
  (with H. Kim and L. Elden)
• Fast Linear Discriminant Analysis using QR Decomposition and Regularization
  Technical Report GT-CSE-07-21, 2007
  (with B. Drake, S. Lee, and C. Park)
• Sparse Non-negative Matrix Factorizations via Alternating Non-negativity-constrained Least Squares for Microarray Data Analysis
  Bioinformatics, 23-12:1495-1502, 2007.
  (with H. Kim)
• Extracting Unrecognized Gene Relationships from the Biomedical Literature via Matrix Factorizations
  BMC Bioinformatics, 8(supp 9):S6, 2007.
  (with H. Kim, and B. Drake )
• Multiclass Classifiers Based on Dimension Reduction with Generalized LDA
  Pattern Recognition, 40-11:2939-2945, 2007.
  (with H. Kim, and B. Drake )
• CallRank: Combating SPIT using call duration, social networks, and global reputation
  The Proceedings of the Fourth Conference on Email and Anti-Spam (CEAS2007), Mountain View, CA, Aug. 2007.
  (with V.A. Balasubramaniyan and M. Ahamad)

2006

• Sparse non-negative matrix factorizations via alternating non-negativity-constraint least squares
  Proceedings of the IASTED International Conference on Computational and Systems Biology (CASB06), pp. 95-100, Dallas, TX, November, 2006. (with H. Kim)
• Orthogonal nonnegative matrix tri-factorizations for clustering
  Proceedings of the twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD06), pp. 126-135, Philadelphia, PA, 2006. (with C. Ding, T. Li, and W. Peng)
• Discriminant analysis using nonnegative matrix factorization for nonparametric multiclass classification
  Proceedings of the IEEE International Conference on Granular Computing, pp. 182-187, Atlanta, GA, May 10-12, 2006. (with H. Kim)
• Feature extraction via generalized uncorrelated linear discriminant analysis
  IEEE Transactions on Knowledge and Data Engineering, vol. 18, No. 10, pp. 1312-1322, 2006.
  (with J. Ye, R. Janarda, and Q. Li )
• Adaptive nonlinear discriminant analysis by regularized minimum squared errors
  IEEE Transactions on Knowledge and Data Engineering,Vol. 18, No. 5, pp. 603-612, 2006
  (with H. Kim and B. Drake)
• Solving the small sample size problem in face recognition using generalized discriminant analysis
  Pattern Recognition, 39-2, pp. 277-287, 2006.
  (with P. Howland and J. Wang)

2005

• Two-dimensional concept vector machines based on an ionic interaction model
  Proceedings of the IEEE International Conference on Neural Networks and Brain (ICNN&B2005), pp. 1991-1995, Beijing, China, October 13-15, 2005, Vol. 3. (with H. Kim)
• A relationship between LDA and the generalized minimum squared error solution
  SIAM Journal on Matrix Analysis and Applications, 27-2, pp. 474-492, 2005.
  (with C. Park)
• Nonlinear discriminant analysis using kernel functions and the generalized singular value decomposition
  SIAM Journal on Matrix Analysis and Applications, 27-1, pp. 98-102, 2005.
  (with C. Park)
• A three-stage framework for gene expression data analysis by L1 norm support vector regression
  International Journal of Bioinformatics Research and Applications, 1-1, pp. 51-62, 2005.
  (with H. Kim, J. Zhou, and H. Morse)
• Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis
  Pattern Recognition, Vol. 38, No. 4, pp. 495-503, 2005.
  (with C. Park)
• IDR/QR: An incremental dimension reduction algorithm via QR decomposition
  IEEE Transaction on Knowledge and Data Engineering, Special Issue - Intelligent Data Preparation, 17-9:1208-1222, 2005.
  (with J. Ye, Q. Li, H. Xiong, R. Janardan, and V. Kumar)
• Missing value estimation for DNA microarray expression data: local least squares imputation
  Bioinformatics, 21-2, pp. 187-198, 2005.
  (with H. Kim and G. Golub)
• Dimension reduction in text classification using support vector machines
  Journal of Machine Learning Research, 6, pp. 37-53, 2005
  (with H. Kim and P. Howland)

2004

• A comparative study of linear and nonlinear feature extraction methods
  Proceedings for the Fourth IEEE International Conference on Data Mining (ICDM04), pp. 495-498, Brighton, United Kingdom, November, 2004. (with C. Park)
• Imputation of missing values in DNA microarray gene expression data,
  Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB04), pp. 572-573, Stanford, CA, August, 2004. (with H. Kim and G. Golub)
• Incremental and decremental least squares support vector machine and its application to drug design,
  Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB04), pp. 656-657, Stanford, CA, August, 2004. (with H. Kim)
• Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis,
  Proceedings of UKC2004 (2004 US-Korea Conference on Science, Technology and Entrepreneurship) 8, pp. 12-14, Durham, NC, August, 2004. (with C. Park)
• An incremental dimension reduction algorithm via QR decomposition,
  Proceedings for the ACM SIGKDD conference (KDD04), pp. 364-373, Seattle, WA, USA, August, 2004. (Out of 337 submitted papers, a total of 40 full papers were selected for oral presentation.) (with J. Ye, H. Xiong, R. Janardan, and V. Kumar)
• Feature extraction via generalized uncorrelated linear discriminant analysis,
  Proceedings for the twenty first International Conference on Machine Learning (ICML04), pp. 895-902, Banff, Alberta, Canada, July, 2004. (with J. Ye, R. Janardan, and Q. Li)
• Gene selection by LDA based on generalized singular value decomposition,
  Proceedings for the Bioinformatics Workshop of the fourth SIAM International Conference on Data Mining (SDM04), pp. 36-41, Kissimmee, FL, April, 2004. (with H. Kim)
• Data reduction in support vector machines by a kernelized ionic interaction model,
  Proceedings for the fourth SIAM International Conference on Data Mining (SDM04), pp. 507-511, Kissimmee, FL, April, 2004. (with H. Kim)
• Prediction of protein relative solvent accessibility with support vector machines and long-range interaction 3D local descriptor
  Proteins: structure, function, and bioinformatics, 54-3, pp. 557-562, 2004.
  (with H. Kim)
• Nonlinear feature extraction based on centroids and kernel functions
  Pattern Recognition, 37:4, pp. 801-810, 2004.
  (with C. Park)
• Generalizing Discriminant Analysis Using the Generalized Singular Value Decomposition
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 26-8, pp. 995-1006, 2004.
  (with P. Howland)
• An optimization criterion for generalized discriminant analysis on undersampled problems,
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 26-8, pp. 982-994, 2004.
  (with J. Ye, R. Janardan, and C. Park)
• Equivalence of several two-stage methods for linear discriminant analysis,
  Proceedings of the Fourth SIAM International Conference on Data Mining, Kissimmee, FL, 2004.
  (with P.Howland)

2003

• Nonlinear feature extraction based on centroids and kernel functions,
  Proceedings for the Third IEEE International Conference on Data Mining (ICDM03), pp. 243-250, Melbourne, Florida, 2003. (Out of 501 submitted papers, a total of 58 regular papers were selected for presentation.) (with C. Park)
• A new optimization criterion for generalized discriminant analysis on undersampled problems,
  Proceedings for the Third IEEE International Conference on Data Mining (ICDM03), pp. 419-426, Melbourne, Florida, 2003. (Out of 501 submitted papers, a total of 58 regular papers were selected for presentation.) (with Y. Ye, R. Janardan, and C. Park)
• Text categorization using support vector machines with dimension reduction,
  Proceedings for the third SIAM international workshop on text mining (SDM03), pp. 48-59, San Francisco, CA, May, 2003. (with H. Kim and P. Howland)
• Protein secondary structure prediction by an improved support vector machines approaches
  Protein Engineering, 16-8, pp.1-8,2003.
  (with H. Kim)
• DNA screening, pool designs, and simplicial complex,
  Journal of Combinatorial Optimization, 7-4, pp. 389-394, 2003.
  (with C.Li, W.Wu, X.Wu, and H.G.Zhao)
• Structure preserving dimension reduction for clustered text data based on the generalized singular value decomposition
  SIAM Journal on Matrix Analysis and Applications, 25-1:165-179, 2003.
  (with P. Howland and M. Jeon)
• Lower dimensional representation of text data based on centroids and least squares
  BIT, 43-2:1-22, 2003.
  (with M. Jeon and J.B. Rosen)
• A decision criterion for the optimal number of clusters in hierarchical clustering
  Journal of Global Optimization, 25:91-111, 2003.
  (with Y. Jung, D.Z. Du, and B.L. Drake)
• Exponential modeling with unknown model order using structured nonlinear total least norm
  Advances in Computational Mathematics, 19:307-322, 2003
  (with L. Zhang and J.B. Rosen)

2002

• Extension of discriminant analysis based on the generalized singular value decomposition,
  Proceedings for the second SIAM international workshop on text mining (SDM02), Arlington, VA, April, 2002. Also Technical Report 02-021, Department of Computer Science and Engineering, University of Minnesota, Twin Cities, 2002. (with P. Howland)

2001

• A balanced term-weighting scheme for improved document comparison and classification,
  Proceedings for the first SIAM international workshop on text mining (SDM01), Chicago, IL, April, 2001. (with Y. Jung and D.Z. Du)
• Dimension reduction based on centroids and least squares for efficient processing of text data,
  Proceedings for the first SIAM international workshop on text mining (SDM01), Chicago, IL, April, 2001. (with M. Jeon and J.B. Rosen)

2000

• Schur-type methods for solving least squares problems with Toeplitz structure
  SIAM Journal on Scientific Computing, 22-2, pp. 406-430, 2000.
  (with L. Eldén)
• Signal identification using a least L_1 norm algorithm
  Optimization and Engineering, 1, pp. 51-65, 2000.
  (with J.B. Rosen, and J. Glick)
• Accurate solution to overdetermined linear equations with errors using L_1 norm minimization
  Computational Optimization and Applications, 17, pp. 329-341, 2000.
  (with J. B. Rosen, J. Glick, L. Zhang)
• Distributed simulation of freeway traffic flows using personal computers,
  Computer-Aided Civil and Infrastructure Engineering, 15, pp. 167-175, 2000.
  (with E. Kwon and B. Choi)

1999

• A Procrustes problem on the Stiefel manifold
  Numerische Mathematik, 82, pp. 599-619, 1999.
  (with L. Eldén)
• Low rank approximation of a Hankel matrix by structured total least norm
  BIT, 39:4, pp. 757-779, 1999.
  (with J.B. Rosen and L. Zhang)
• Structured total least norm for nonlinear problems,
  SIAM Journal on Matrix Analysis and Applications, 20-1:14-30, 1999. (with J.B. Rosen and J. Glick)

1998

• A personal computer-based parallel simulation system for on-line assessment of freeway operational strategies,
  the Proceedings for the 4th Annual ITS World Congress, 1998. (with E. Kwon and B. Choi)

1997

• Stability analysis and fast algorithms for triangularization of Toeplitz matrices
  Numerische Mathematik, 76-3, pp. 383-400, 1997.
  (with L. Eldén)
• Schur-type methods based on subspace criteria,
  the Proceedings for the IEEE Int. Symp. on Circuits and Systems, pp. 2661-2664, Hong Kong, 1997. (with J¨urgen G¨otze)
• Parallel simulation of freeway traffic flows on a personal computer-based distributed computing system,
  the Proceedings for the 3rd Annual ITS World Congress, pp. 36-42, 1997. (with E. Kwon and K. Yoo)

1996

• Formulation and solution of structured Total Least Norm problems for parameter estimation
  IEEE Transactions on Signal Processing, 44-10, pp. 2464-2474,, 1996.
  (with S. Van Huffel and J.B. Rosen)
• Total least norm formulation and solution for structured problems
  SIAM Journal on Matrix Analysis and Applications, 17-1, pp. 110-128, 1996.
  (with J.B. Rosen and J. Glick)
• Self-scaling fast rotations for stiff least squares problems
  Linear Algebra and its Applications, 234, pp. 137-161, 1996.
  (with A.A. Anda)
• Perturbation and error analyses for block downdating of a Cholesky decomposition
  BIT, 36, pp. 239-255, 1996.
  (with L. Eldén)
• Accurate downdating of a QR decomposition
  BIT, 36-1, pp. 166-181, 1996.
  (with K. Yoo)

1995

• Downdating rank-revealing URV decomposition,
  SIAM Journal on Matrix Analysis and Applications, 16-1, pp. 138-155, 1995.
  (with L. Eldén)
• Fast residual computation for sliding window recursive least squares methods
  Signal Processing, Vol. 45, No. 1, pp. 85-95, 1995.
  (with K. Yoo)
• Efficient reduction algorithms for bordered band matrices
  Numerical Linear Algebra with Applications, Special issue dedicated to Parlett and Kahan, 2-2, pp. 95-114, 1995.
  (with S. Van Huffel)
• Two-way bidiagonalization scheme for downdating the singular value decomposition
  Linear Algebra and its Applications, 222, pp.1-17, 1995.
  (with S. Van Huffel)
• Structure preserving total least squares method and its application to parameter estimation. SVD and signal processing, III:
  Algorithms, architectures and applications. Ed. M. Moonen and B. De Moor, pp. 399-406, Elsevier, 1995.
  (with J.B. Rosen and S. Van Huffel)
• Structured total least norm method for Toeplitz problems,
  the proceedings for IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 2, pp. 1141-1144, Detroit, MI, May, 1995. (with J.B. Rosen and J. Glick)
• Total least norm problem formulation and solution of structured problems in parameter extraction,
  Proceedings of the ProRISC/IEEE Benelux Workshop on Circuits, Systems and Signal Processing, pp. 317-326, Mierlo, The Netherlands, March 22-24, 1995. (with S. Van Huffel and J.B. Rosen)

1994

• Block downdating of least squares solutions
  SIAM Journal on Matrix Analysis and Applications, 15-3, pp. 1018-1034, 1994.
  (with L. Eldén)
• Accurate downdating of least squares solutions
  SIAM Journal on Matrix Analysis and Applications, 15-2, pp. 549-568, 1994.
  (with Å. Björck and L. Eldén)
• ESPRIT direction-of-arrival estimation in the presence of spatially correlated noise,
  SIAM Journal on Matrix Analysis and Applications, 15-1, pp. 185-193, 1994.
• Fast plane rotations with dynamic scaling,
  SIAM Journal on Matrix Analysis and Applications, 15-1, pp. 162-174, 1994.
  (with A. Anda)
• On competitive algorithms for group testing,
  SIAM Journal on Computing, 23-5, pp. 1019-1025, 1994.
  (with D.-Z. Du)
• Perturbation analysis for block downdating of a Cholesky decomposition,
  Numerische Mathematik, 68, pp. 457-467, 1994.
  (with L. Eldén).
• Parallel tri- and bi-diagonalization of bordered bidiagonal matrices,
  Parallel Computing, 20, pp. 1107-1128, 1994. (with S. Van Huffel)
• Fast algorithms for exponential data modeling,
  the proceedings for IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol 4, pp. 25-28, Adelaide, Australia, April 19-22, 1994. (with L. Eld´en and S. Van Huffel)

1993

• An algorithm for the generalized singular value decomposition on massively parallel computers,
  Journal of Parallel and Distributed Computing, 17, pp. 267-276, 1993. (with L.M. Ewerbring)
• A real algorithm for the Hermitian eigenvalue decomposition,
  BIT, 33, pp. 158-171, 1993. (with V. Hari)
• Fast and accurate Toeplitz matrix triangularization for linear prediction,
  IEEE workshop on VLSI Signal Processing VI, pp. 343-352, 1993. (with L. Eld´en)
• Improved parallel algorithm for band matrix reconstruction,
  Proceedings of the ProRISC IEEE Workshop on Circuits, Systems and Signal Processing, pp. 275-280, Houthalen, Belgium, March 24-25, 1993. (with S. Van Huffel)

1992

• On multiple error detection in matrix triangularizations using checksum methods,
  Journal of Parallel and Distributed Computing, 14, pp. 90-97, 1992.
• Fast computation of eigenvalue decompositions on vector architectures,
  Advances in Optimization and Parallel Computing, pp. 26-41, North-Holland, 1992. (with A.A. Anda)

1991

• A parallel algorithm for the unbalanced orthogonal Procrustes problem,
  Parallel Computing, 17, pp. 913-923, 1991.
• An algorithm for the generalized singular value decomposition on massively parallel computers,
  Proceedings for the ACM International Conference on Supercomputing, pp. 136-145, 1991. (with L.M. Ewerbring)

1990

• Efficient implementation of Jacobi algorithms and Jacobi sets on distributed memory architectures,
  Journal of Parallel and Distributed Computing, special issue on
  Algorithms for Hypercube Computers, 8, pp. 358-366, 1990. (with P.J. Eberlein)
• Efficient diagonalization of oversized matrices on a distributed-memory multiprocessor,
  Annals of Operations Research, 22, pp. 253-269, 1990.
• Matrix diagonalization algorithms for oversized problems on a distributed-memory multiprocessor,
  Mathematics in Signal Processing II, ed. J.G. McWhirter, Oxford University Press, pp. 615-630, 1990.
• The parallel solution of the matrix eigenproblem with applications in control theory,
  Signal Processing, Scattering and Operator Theory, and Numerical Methods,
  ed. M.A. Kaashoek, J.H. Van Schuppen, and A.C.M. Ran, Birkhauser, pp. 373-380, 1990.
  (with D. Boley, R. Maier, and P.J. Eberlein)
• Computing the generalized singular value decomposition on the Connection Machine,
  Proceedings for SPIE conference on Advanced Signal Processing Algorithms, Architectures, and Implementations, pp. 392-405, 1990. (with L.M. Ewerbring)

1989

• A proof of convergence for two parallel Jacobi SVD algorithms,
  IEEE Transactions on Computers, 38(6), pp. 806-811, 1989. (with F.T. Luk)
• On parallel Jacobi orderings,
  SIAM Journal on Scientific and Statistical Computing, 10(1), pp. 18-26, 1989. (with F.T. Luk)
• Eigensystem computation on hypercube architectures,
  the Proceedings of the Fourth Conference on Hypercube Concurrent Computers and Application, pp. 689-692, 1989. (with P.J. Eberlein)

1988

• An analysis of algorithm-based fault tolerance techniques,
  Journal of Parallel and Distributed Computing, pp. 172-184, 1988. (with F.T. Luk)
• Fault-tolerant matrix triangularizations on systolic arrays,
  IEEE Transactions on Computers, 37(11), pp. 1434-1438, 1988. (with F.T. Luk)
• Multiple error algorithm-based fault tolerance for matrix triangularizations,
  Proceedings for SPIE Conference on Advanced Algorithms and Architectures for Signal Processing III, Vol. 975, pp. 258-267, 1988.
• Equivalence and convergence of parallel Jacobi SVD methods,
  Proceedings for SPIE Conference on Advanced Algorithms and Architectures for Signal Processing, pp. 152-159, 1987. (with F.T. Luk)