| 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 | 500 | 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, 2013 | 305 | 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 | 290 | 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 | 267 | 2016 |
| 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 | 176 | 2015 |
| Learning networks of heterogeneous influence N Du, L Song, M Yuan, A Smola Advances in neural information processing systems 25, 2012 | 171 | 2012 |
| Shaping social activity by incentivizing users M Farajtabar, N Du, M Gomez Rodriguez, I Valera, H Zha, L Song Advances in neural information processing systems 27, 2014 | 154 | 2014 |
| 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 | 141 | 2008 |
| 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 | 140 | 2014 |
| Time-sensitive recommendation from recurrent user activities N Du, Y Wang, N He, J Sun, L Song Advances in neural information processing systems 28, 2015 | 134 | 2015 |
| Finetuned language models are zero-shot learners J Wei, M Bosma, VY Zhao, K Guu, AW Yu, B Lester, N Du, AM Dai, QV Le arXiv preprint arXiv:2109.01652, 2021 | 119 | 2021 |
| Uncover topic-sensitive information diffusion networks N Du, L Song, H Woo, H Zha Artificial Intelligence and Statistics, 229-237, 2013 | 111 | 2013 |
| Influence function learning in information diffusion networks N Du, Y Liang, M Balcan, L Song International Conference on Machine Learning, 2016-2024, 2014 | 97 | 2014 |
| 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 | 90 | 2015 |
| 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 |
| Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process E Choi, N Du, R Chen, L Song, J Sun | 83 | 2015 |
| Learning temporal point processes via reinforcement learning S Li, S Xiao, S Zhu, N Du, Y Xie, L Song Advances in neural information processing systems 31, 2018 | 77 | 2018 |
| 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 | 67 | 2008 |
| Community evolution of social network: feature, algorithm and model Y Wang, B Wu, N Du arXiv preprint arXiv:0804.4356, 2008 | 61 | 2008 |
| Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311, 2022 | 59 | 2022 |
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
