| Data classification: algorithms and applications CC Aggarwal CRC press, 2014 | 1294 | 2014 |
| Generalized fisher score for feature selection Q Gu, Z Li, J Han arXiv preprint arXiv:1202.3725, 2012 | 357 | 2012 |
| Personalized entity recommendation: A heterogeneous information network approach X Yu, X Ren, Y Sun, Q Gu, B Sturt, U Khandelwal, B Norick, J Han Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 250 | 2014 |
| Collaborative filtering: Weighted nonnegative matrix factorization incorporating user and item graphs Q Gu, J Zhou, C Ding Proceedings of the 2010 SIAM international conference on data mining, 199-210, 2010 | 200 | 2010 |
| Co-clustering on manifolds Q Gu, J Zhou Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 180 | 2009 |
| Joint feature selection and subspace learning Q Gu, Z Li, J Han Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 157 | 2011 |
| Learning the shared subspace for multi-task clustering and transductive transfer classification Q Gu, J Zhou 2009 Ninth IEEE International Conference on Data Mining, 159-168, 2009 | 127 | 2009 |
| Clustered support vector machines Q Gu, J Han Artificial Intelligence and Statistics, 307-315, 2013 | 95 | 2013 |
| Citation prediction in heterogeneous bibliographic networks X Yu, Q Gu, M Zhou, J Han Proceedings of the 2012 SIAM International Conference on Data Mining, 1119-1130, 2012 | 94 | 2012 |
| Latent community topic analysis: Integration of community discovery with topic modeling Z Yin, L Cao, Q Gu, J Han ACM Transactions on Intelligent Systems and Technology (TIST) 3 (4), 63, 2012 | 83 | 2012 |
| Recommendation in heterogeneous information networks with implicit user feedback X Yu, X Ren, Y Sun, B Sturt, U Khandelwal, Q Gu, B Norick, J Han Proceedings of the 7th ACM conference on Recommender systems, 347-350, 2013 | 82 | 2013 |
| Cluscite: Effective citation recommendation by information network-based clustering X Ren, J Liu, X Yu, U Khandelwal, Q Gu, L Wang, J Han Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 72 | 2014 |
| Correlated multi-label feature selection Q Gu, Z Li, J Han Proceedings of the 20th ACM international conference on Information and …, 2011 | 69 | 2011 |
| Linear discriminant dimensionality reduction Q Gu, Z Li, J Han Joint European conference on machine learning and knowledge discovery in …, 2011 | 56 | 2011 |
| Local learning regularized nonnegative matrix factorization Q Gu, J Zhou Twenty-First International Joint Conference on Artificial Intelligence, 2009 | 56 | 2009 |
| Stochastic gradient descent optimizes over-parameterized deep relu networks D Zou, Y Cao, D Zhou, Q Gu arXiv preprint arXiv:1811.08888, 2018 | 55 | 2018 |
| A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression Y Liu, Q Gu, JP Hou, J Han, J Ma BMC bioinformatics 15 (1), 37, 2014 | 54 | 2014 |
| Low-rank and sparse structure pursuit via alternating minimization Q Gu, ZW Wang, H Liu Artificial Intelligence and Statistics, 600-609, 2016 | 47 | 2016 |
| Trustworthiness analysis of sensor data in cyber-physical systems LA Tang, X Yu, S Kim, Q Gu, J Han, A Leung, T La Porta Journal of Computer and System Sciences 79 (3), 383-401, 2013 | 46 | 2013 |
| Towards feature selection in network Q Gu, J Han Proceedings of the 20th ACM international conference on Information and …, 2011 | 46 | 2011 |
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu