| Data classification algorithm and application CC Aggarwal, J Tang, S Alelyani, H Liu, H Deng, Y Sun, Y Chang, J Han, ... New York: Chapman & Hall/CRC, 2014 | 1613 | 2014 |
| Label propagation through linear neighborhoods F Wang, C Zhang IEEE Transactions on Knowledge and Data Engineering 20 (1), 55-67, 2007 | 766 | 2007 |
| Deep learning for healthcare: review, opportunities and challenges R Miotto, F Wang, S Wang, X Jiang, JT Dudley Briefings in Bioinformatics, bbx044, 2017 | 447 | 2017 |
| Community discovery using nonnegative matrix factorization F Wang, T Li, X Wang, S Zhu, C Ding Data Mining and Knowledge Discovery 22 (3), 493-521, 2011 | 330 | 2011 |
| Social Contextual Recommendation M Jiang, P Cui, R Liu, Q Yang, F Wang, W Zhu, S Yang | 308 | 2012 |
| Semi-supervised clustering via matrix factorization F Wang, T Li, C Zhang Proceedings of the 2008 SIAM International Conference on Data Mining, 1-12, 2008 | 231* | 2008 |
| Semi-supervised multi-label learning by solving a sylvester equation G Chen, Y Song, F Wang, C Zhang Proceedings of the 2008 SIAM International Conference on Data Mining, 410-419, 2008 | 189 | 2008 |
| Composite hashing with multiple information sources D Zhang, F Wang, L Si Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 181 | 2011 |
| Who should share what?: item-level social influence prediction for users and posts ranking P Cui, F Wang, S Liu, M Ou, S Yang, L Sun Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 169 | 2011 |
| Unsupervised learning of disease progression models X Wang, D Sontag, F Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 165 | 2014 |
| Linear neighborhood propagation and its applications J Wang, F Wang, C Zhang, HC Shen, L Quan IEEE transactions on pattern analysis and machine intelligence 31 (9), 1600-1615, 2008 | 163 | 2008 |
| Collaborative filtering using orthogonal nonnegative matrix tri-factorization G Chen, F Wang, C Zhang Information Processing & Management 45 (3), 368-379, 2009 | 155 | 2009 |
| Risk prediction with electronic health records: A deep learning approach Y Cheng, F Wang, P Zhang, J Hu Proceedings of the 2016 SIAM International Conference on Data Mining, 432-440, 2016 | 145 | 2016 |
| Graph dual regularization non-negative matrix factorization for co-clustering F Shang, LC Jiao, F Wang Pattern Recognition, 2011 | 139 | 2011 |
| Scalable recommendation with social contextual information M Jiang, P Cui, F Wang, W Zhu, S Yang IEEE Transactions on Knowledge and Data Engineering 26 (11), 2789-2802, 2014 | 136 | 2014 |
| Patient Subtyping via Time-Aware LSTM Networks IM Baytas, C Xiao, X Zhang, F Wang, AK Jain, J Zhou Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 123 | 2017 |
| Survey on distance metric learning and dimensionality reduction in data mining F Wang, J Sun Data Mining and Knowledge Discovery 29 (2), 534-564, 2015 | 118 | 2015 |
| Deep Learning for Medical Image Analysis K Lu, F Wang, L Shao, W Li Neurocomputing, 2019 | 114* | 2019 |
| Frequence: interactive mining and visualization of temporal frequent event sequences A Perer, F Wang Proceedings of the 19th international conference on Intelligent User …, 2014 | 111 | 2014 |
| Supervised patient similarity measure of heterogeneous patient records J Sun, F Wang, J Hu, S Edabollahi ACM SIGKDD Explorations Newsletter 14 (1), 16-24, 2012 | 111 | 2012 |
Changshui ZhangDept. Automation, Tsinghua University, Beijing, ChinaVerified email at mail.tsinghua.edu.cn
