| Symmetric nonnegative matrix factorization for graph clustering D Kuang, C Ding, H Park Proceedings of the 2012 SIAM international conference on data mining, 106-117, 2012 | 525 | 2012 |
| SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering D Kuang, S Yun, H Park Journal of Global Optimization 62 (3), 545-574, 2015 | 249 | 2015 |
| Nonnegative matrix factorization for interactive topic modeling and document clustering D Kuang, J Choo, H Park Partitional clustering algorithms, 215-243, 2015 | 183 | 2015 |
| Hierarchical clustering of hyperspectral images using rank-two nonnegative matrix factorization N Gillis, D Kuang, H Park IEEE Transactions on Geoscience and Remote Sensing 53 (4), 2066-2078, 2014 | 159 | 2014 |
| Fast rank-2 nonnegative matrix factorization for hierarchical document clustering D Kuang, H Park Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 91 | 2013 |
| Unsupervised classification in hyperspectral imagery with nonlocal total variation and primal-dual hybrid gradient algorithm W Zhu, V Chayes, A Tiard, S Sanchez, D Dahlberg, AL Bertozzi, S Osher, ... IEEE Transactions on Geoscience and Remote Sensing 55 (5), 2786-2798, 2017 | 69 | 2017 |
| DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling R Du, D Kuang, B Drake, H Park Journal of Global Optimization 68, 777-798, 2017 | 34 | 2017 |
| Is learning to rank effective for Web search? M Zhang, D Kuang, G Hua, Y Liu, S Ma SIGIR 2009 Workshop: Learning to Rank for Information Retrieval, 641-647, 2009 | 22 | 2009 |
| How twitter can support the HIV/AIDS response to achieve the 2030 eradication goal: In-depth thematic analysis of world AIDS day tweets M Odlum, S Yoon, P Broadwell, R Brewer, D Kuang JMIR public health and surveillance 4 (4), e10262, 2018 | 16 | 2018 |
| Hierarchical community detection via rank-2 symmetric nonnegative matrix factorization R Du, D Kuang, B Drake, H Park Computational social networks 4, 1-26, 2017 | 16 | 2017 |
| Hardware compliant approximate image codes D Kuang, A Gittens, R Hamid Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 10 | 2015 |
| A harmonic extension approach for collaborative ranking D Kuang, Z Shi, S Osher, A Bertozzi arXiv preprint arXiv:1602.05127, 2016 | 7 | 2016 |
| 面向排序学习的特征分析的研究 花贵春， 张敏， 邝达， 刘奕群， 马少平， 茹立云 计算机工程与应用 47 (17), 122-127, 2011 | 3 | 2011 |
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyEmail verificata su cc.gatech.edu
