| Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311, 2022 | 2132 | 2022 |
| 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 | 1189 | 2021 |
| 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 | 668 | 2016 |
| React: Synergizing reasoning and acting in language models S Yao, J Zhao, D Yu, N Du, I Shafran, K Narasimhan, Y Cao arXiv preprint arXiv:2210.03629, 2022 | 344 | 2022 |
| 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 | 315 | 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 | 313 | 2007 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 307 | 2023 |
| 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 | 289 | 2016 |
| Glam: Efficient scaling of language models with mixture-of-experts N Du, Y Huang, AM Dai, S Tong, D Lepikhin, Y Xu, M Krikun, Y Zhou, ... International Conference on Machine Learning, 5547-5569, 2022 | 230 | 2022 |
| 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 | 201 | 2015 |
| Learning networks of heterogeneous influence N Du, L Song, M Yuan, A Smola Advances in neural information processing systems 25, 2012 | 192 | 2012 |
| 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 | 174 | 2014 |
| 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 | 167 | 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 | 155 | 2015 |
| 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 | 143 | 2008 |
| Uncover topic-sensitive information diffusion networks N Du, L Song, H Woo, H Zha Artificial Intelligence and Statistics, 229-237, 2013 | 119 | 2013 |
| Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process E Choi, N Du, R Chen, L Song, J Sun | 111 | 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 | 105 | 2018 |
| Influence function learning in information diffusion networks N Du, Y Liang, M Balcan, L Song International Conference on Machine Learning, 2016-2024, 2014 | 104 | 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 | 99 | 2015 |
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
