11. Publications

  1. Jingu Kim and Haesun Park, “Fast nonnegative matrix factorization: An active-set-like method and comparisons”, SIAM Journal on Scientific Computing, 33(6), pp. 3261-3281, 2011.
  2. Jingu Kim, Yunlong He, and Haesun Park, “Algorithms for nonnegative matrix and tensor factorizations: A unified view based on block coordinate descent framework”, Journal of Global Optimization, 2013.
  3. Jaegul Choo, Changhyun Lee, Chandan K. Reddy, and Haesun Park, “UTOPIAN: User-driven Topic modeling based on interactive nonnegative matrix factorization”, IEEE Transactions on Visualization and Computer Graphics (TVCG), 19-12, pages 1992-2001, 2013.
  4. Da Kuang and Haesun Park, “Fast Rank-2 Nonnegative Matrix Factorization for Hierarchical Document Clustering”, Proceedings 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ‘13), 2013.
  5. Nicolas Gillis, Da Kuang and Haesun Park, “Hierarchical clustering of hyperspectral images using rank-two nonnegative matrix factorization”, IEEE Transactions on Geoscience and Remote Sensing, 2014.
  6. Jaegul Choo, Barry Drake, and Haesun Park, “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.
  7. R. Kannan, M. Ishteva, B. Drake, and H. Park, Bounded Matrix Low Rank Approximation, chapter in Nonnegative Matrix Factorization Techniques: Advances in Theory and Applications, Ganesh R. Naik (Ed.), Signals and Communication Technology Series, Springer-Verlag Berlin Heidelberg, 2016. DOI: 10.1007/978-3-662-48331-2, ISBN 978-3-662-48331-2
  8. Minsuk Choi, Jaesong Yoo, Ashley S. Beavers, Scott Longevin, Chris Bethune, Sean McIntyre, Barry Drake, Jaegul Choo, Haesun Park. “Tile-based Spatio-Temporal Visual Analytics via Topic Modeling on Social Media”, IEEE Vis 2016, Baltimore, Maryland, USA Oct 23-28, 2016.
  9. Rundong Du, Da Kuang, Barry Drake, and Haesun Park. “DC-NMF: Nonnegative Matrix Factorization based on Divide-and-Conquer for Fast Clustering and Topic Modeling”, Journal of Global Optimization, April 2017.
  10. Barry Drake, Tiffany Huang, Ashley Scripka Beavers, Rundong Du, and Haesun Park. “Event Detection based on Nonnegative Matrix Factorization: Ceasefire Violation, Environmental, and Malware Events”, Proceedings of the 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), The Westin Bonaventure Hotel, Los Angeles, California, USA, AHFE, Human Factors in Cyber Warfare, (invited paper), July 17-21, DOI 10.1007/978-3-319-60585-2_16, Springer, 2017.
  11. Rundong Du, Barry Drake, and Haesun Park. “Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization”. Journal of Global Optimization, October, 2017.
  12. Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry Drake, Haesun Park, and Jaegul Choo, “STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection”, submitted, IEEE International Conference on Data Mining, New Orleans, USA, November 18-21, 2017.

If the SmallK library is used to obtain results for publication, please use the following BibTeX citation:

        author       = {Barry Drake and Stephen Lee-Urban and Haesun Park},
        title        = {SmallK is a {C++}{/}{P}ython high-performance software
                                        library for nonnegative matrix factorization (NMF)
                                        and hierarchical and flat clustering using
                                        the NMF; current version 1.6.2},
        howpublished = {\url{http://smallk.github.io/}},
        month        = {June},
        year         = {2017}