| 2025 | CIKM | Numerical Linear Algebraic Foundations for Large-Scale Unsupervised Learning. | Haesun Park |
| 2023 | CIKM | Patient Clustering via Integrated Profiling of Clinical and Digital Data. | Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park |
| 2023 | FUSION | Co-embedding Multi-type Data for Information Fusion and Visual Analytics. | Dongjin Choi, Barry L. Drake, Haesun Park |
| 2023 | ICS | Distributed-Memory Parallel JointNMF. | Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park |
| 2021 | AAAI | SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. | Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun |
| 2020 | CIKM | Hypergraph Random Walks, Laplacians, and Clustering. | Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park |
| 2020 | HiPC | Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization. | Lawton Manning, Grey Ballard, Ramakrishnan Kannan, Haesun Park |
| 2020 | SC | Distributed-memory parallel symmetric nonnegative matrix factorization. | Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park |
| 2019 | AAAI | Understanding Actors and Evaluating Personae with Gaussian Embeddings. | Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li |
| 2018 | AAAI | CoDiNMF: Co-Clustering of Directed Graphs via NMF. | Woosang Lim, Rundong Du, Haesun Park |
| 2018 | AISTATS | Multi-scale Nystrom Method. | Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park |
| 2018 | CHI | TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media. | 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 | KDD | SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. | Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun |
| 2017 | AAAI | PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. | Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park |
| 2017 | ICDM | STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection. | Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo |
| 2017 | SDM | Outlier Detection for Text Data. | Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park |
| 2016 | PPoPP | A high-performance parallel algorithm for nonnegative matrix factorization. | Ramakrishnan Kannan, Grey Ballard, Haesun Park |
| 2015 | AAAI | Toward Social Media Opinion Mining for Sustainability Research. | Rundong Du, Zhongming Lu, Arka Pandit, Da Kuang, John Crittenden, Haesun Park |
| 2015 | AAAI | Estimating Temporal Dynamics of Human Emotions. | Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park |
| 2015 | AAAI | Local Context Sparse Coding. | Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park |
| 2015 | ICML | Double Nystrm Method: An Efficient and Accurate Nystrm Scheme for Large-Scale Data Sets. | Woosang Lim, Minhwan Kim, Haesun Park, Kyomin Jung |
| 2015 | KDD | Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. | Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park |
| 2014 | ICCS | A Dynamic Data Driven Application System for Vehicle Tracking. | Richard Fujimoto, Angshuman Guin, Michael Hunter, Haesun Park, Gaurav Kanitkar, Ramakrishnan Kannan, Michael Milholen, Sabra Neal, Philip Pecher |
| 2014 | WWW | To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. | Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park |
| 2014 | WSDM | Understanding and promoting micro-finance activities in Kiva.org. | Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, Haesun Park |
| 2013 | CHI | Fast interactive visualization for multivariate data exploration. | Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park |
| 2013 | ICDM | Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery. | Jingu Kim, Naren Ramakrishnan, Manish Marwah, Amip Shah, Haesun Park |
| 2013 | ICDM | Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects. | Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park |
| 2013 | ICML | Unfolding Latent Tree Structures using 4th Order Tensors. | Mariya Ishteva, Haesun Park, Le Song |
| 2013 | ICML | Hierarchical Tensor Decomposition of Latent Tree Graphical Models. | Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park |
| 2013 | KDD | Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. | Edward Clarkson, Jaegul Choo, John Turgeson, Ray Decuir, Haesun Park |
| 2013 | KDD | Fast rank-2 nonnegative matrix factorization for hierarchical document clustering. | Da Kuang, Haesun Park |
| 2013 | KDD | Augmenting MATLAB with semantic objects for an interactive visual environment. | Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park |
| 2013 | KDD | Interactive visual analytics for high dimensional data. | Haesun Park |
| 2013 | VDA | An interactive visual testbed system for dimension reduction and clustering of large-scale high-dimensional data. | Jaegul Choo, Hanseung Lee, Zhicheng Liu, John T. Stasko, Haesun Park |
| 2012 | ICDM | Bounded Matrix Low Rank Approximation. | Ramakrishnan Kannan, Mariya Ishteva, Haesun Park |
| 2012 | KDD | Fast bregman divergence NMF using taylor expansion and coordinate descent. | Liangda Li, Guy Lebanon, Haesun Park |
| 2012 | SDM | Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling. | Jaegul Choo, Shawn Bohn, Grant Nakamura, Amanda M. White, Haesun Park |
| 2012 | SDM | Group Sparsity in Nonnegative Matrix Factorization. | Jingu Kim, Renato D. C. Monteiro, Haesun Park |
| 2012 | SDM | Symmetric Nonnegative Matrix Factorization for Graph Clustering. | Da Kuang, Haesun Park, Chris H. Q. Ding |
| 2011 | SDM | A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria. | Yunlong He, Renato D. C. Monteiro, Haesun Park |
| 2010 | COCOA | PTAS for Minimum Connected Dominating Set with Routing Cost Constraint in Wireless Sensor Networks. | Hongwei Du, Qiang Ye, Jiaofei Zhong, Yuexuan Wang, Wonjun Lee, Haesun Park |
| 2010 | FUSION | Supervised Raman spectra estimation based on nonnegative rank deficient least squares. | Barry L. Drake, Jingu Kim, Mahendra Mallick, Haesun Park |
| 2010 | SDM | p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics. | Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park |
| 2009 | FUSION | Comparison of Raman spectra estimation algorithms. | Mahendra Mallick, Barry L. Drake, Haesun Park, Andy Register, William Dale Blair, Phil West, Ryan D. Palkki, Aaron D. Lanterman, Darren Emge |
| 2009 | SDM | Hierarchical Linear Discriminant Analysis for Beamforming. | Jaegul Choo, Barry L. Drake, Haesun Park |
| 2008 | ICDM | Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons. | Jingu Kim, Haesun Park |
| 2008 | ICPR | Linear discriminant analysis for data with subcluster structure. | Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo Kang |
| 2007 | BIBE | Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares. | Hyunsoo Kim, Haesun Park, Lars Eldn |
| 2007 | BIBE | Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization. | Hyunsoo Kim, Haesun Park, Hongyuan Zha |
| 2007 | SDM | Distance Preserving Dimension Reduction for Manifold Learning. | Hyunsoo Kim, Haesun Park, Hongyuan Zha |
| 2006 | GRC | Discriminant analysis using nonnegative matrix factorization for nonparametric multiclass classification. | Hyunsoo Kim, Haesun Park |
| 2006 | KDD | Orthogonal nonnegative matrix t-factorizations for clustering. | Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park |
| 2004 | ICDM | A Comparative Study of Linear and Nonlinear Feature Extraction Methods. | Cheong Hee Park, Haesun Park, Panos M. Pardalos |
| 2004 | ICML | Feature extraction via generalized uncorrelated linear discriminant analysis. | Jieping Ye, Ravi Janardan, Qi Li, Haesun Park |
| 2004 | KDD | IDR/QR: an incremental dimension reduction algorithm via QR decomposition. | Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar |
| 2004 | SDM | Equivalence of Several Two-Stage Methods for Linear Discriminant Analysis. | Peg Howland, Haesun Park |
| 2004 | SDM | Data Reduction in Support Vector Machines by a Kernelized Ionic Interaction Model. | Hyunsoo Kim, Haesun Park |
| 2003 | ICDM | Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. | Cheong Hee Park, Haesun Park |
| 2003 | ICDM | A new optimization criterion for generalized discriminant analysis on undersampled problems. | Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park |
| 2001 | SDM | Dimension reduction based on centroids and least squares for efficient processing of text data. | Moongu Jeon, Haesun Park, J. Ben Rosen |
| 1995 | ICASSP | Structured total least norm method for Toeplitz problems. | Haesun Park, J. Ben Rosen, John Glick |
| 1994 | ICASSP | Fast algorithms for exponential data modeling. | Haesun Park, Sabine Van Huffel, Lars Eldn |
| 1991 | ICS | An algorithm for the generalized singular value decomposition on massively parallel computers. | Haesun Park, Lars-Magnus Ewerbring |