| Recurrent marked temporal point processes: Embedding event history to vector N Du, H Dai, R Trivedi, U Upadhyay, M Gomez-Rodriguez, L Song Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 340 | 2016 |
| Scalable influence estimation in continuous-time diffusion networks N Du, L Song, M Gomez-Rodriguez, H Zha Advances in neural information processing systems 26, 3147, 2013 | 286 | 2013 |
| Community detection in large-scale social networks N Du, B Wu, X Pei, B Wang, L Xu Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining …, 2007 | 277 | 2007 |
| Influence estimation and maximization in continuous-time diffusion networks M Gomez-Rodriguez, L Song, N Du, H Zha, B Schölkopf ACM Transactions on Information Systems (TOIS) 34 (2), 1-33, 2016 | 245 | 2016 |
| Learning networks of heterogeneous influence N Du, L Song, M Yuan, A Smola Advances in neural information processing systems 25, 2780-2788, 2012 | 155 | 2012 |
| Shaping social activity by incentivizing users M Farajtabar, N Du, MG Rodriguez, I Valera, H Zha, L Song Advances in neural information processing systems 27, 2014 | 150 | 2014 |
| AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy W Zhu, Y Huang, L Zeng, X Chen, Y Liu, Z Qian, N Du, W Fan, X Xie Medical physics 46 (2), 576-589, 2019 | 144 | 2019 |
| Improved recommendation based on collaborative tagging behaviors S Zhao, N Du, A Nauerz, X Zhang, Q Yuan, R Fu Proceedings of the 13th international conference on Intelligent user …, 2008 | 140 | 2008 |
| Dirichlet-hawkes processes with applications to clustering continuous-time document streams N Du, M Farajtabar, A Ahmed, AJ Smola, L Song Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 139 | 2015 |
| A deep learning approach to link prediction in dynamic networks X Li, N Du, H Li, K Li, J Gao, A Zhang Proceedings of the 2014 SIAM International Conference on Data Mining, 289-297, 2014 | 119 | 2014 |
| Time-Sensitive Recommendation From Recurrent User Activities. N Du, Y Wang, N He, J Sun, L Song NIPS 15, 3492-3500, 2015 | 117 | 2015 |
| Uncover topic-sensitive information diffusion networks N Du, L Song, H Woo, H Zha Artificial Intelligence and Statistics, 229-237, 2013 | 102 | 2013 |
| A parallel algorithm for enumerating all maximal cliques in complex network N Du, B Wu, L Xu, B Wang, X Pei Sixth IEEE International Conference on Data Mining-Workshops (ICDMW'06), 320-324, 2006 | 87 | 2006 |
| Back to the past: Source identification in diffusion networks from partially observed cascades M Farajtabar, MG Rodriguez, M Zamani, N Du, H Zha, L Song Artificial Intelligence and Statistics, 232-240, 2015 | 83 | 2015 |
| Influence function learning in information diffusion networks N Du, Y Liang, M Balcan, L Song International Conference on Machine Learning, 2016-2024, 2014 | 79 | 2014 |
| Overlapping community detection in bipartite networks N Du, B Wang, B Wu, Y Wang 2008 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2008 | 62 | 2008 |
| Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process E Choi, N Du, R Chen, L Song, J Sun | 60 | 2015 |
| Community evolution of social network: feature, algorithm and model Y Wang, B Wu, N Du arXiv preprint arXiv:0804.4356, 2008 | 59 | 2008 |
| A version-aware approach for web service directory R Fang, L Lam, L Fong, D Frank, C Vignola, Y Chen, N Du IEEE International Conference on Web Services (ICWS 2007), 406-413, 2007 | 55 | 2007 |
| Learning temporal point processes via reinforcement learning S Li, S Xiao, S Zhu, N Du, Y Xie, L Song arXiv preprint arXiv:1811.05016, 2018 | 51 | 2018 |
Le SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
