| Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... Journal of Machine Learning Research 24 (240), 1-113, 2023 | 5110 | 2023 |
| 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 | 3165 | 2021 |
| 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 | 1825 | 2022 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 1427 | 2023 |
| 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 | 785 | 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 | 553 | 2022 |
| 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 | 332 | 2007 |
| 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 | 328 | 2013 |
| 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 | 303 | 2016 |
| Mixture-of-experts with expert choice routing Y Zhou, T Lei, H Liu, N Du, Y Huang, V Zhao, AM Dai, QV Le, J Laudon Advances in Neural Information Processing Systems 35, 7103-7114, 2022 | 244 | 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 | 213 | 2015 |
| Learning networks of heterogeneous influence N Du, L Song, M Yuan, A Smola Advances in neural information processing systems 25, 2012 | 206 | 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 | 189 | 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 | 180 | 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 | 169 | 2015 |
| Toju Duke, Lucas Dixon, Kun Zhang, Quoc V N Du, Y Huang, AM Dai, S Tong, D Lepikhin, Y Xu, M Krikun, Y Zhou, ... Le, Yonghui Wu, Zhifeng Chen, and Claire Cui, 2021 | 163 | 2021 |
| 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 | 145 | 2008 |
| MM1: methods, analysis and insights from multimodal LLM pre-training B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ... European Conference on Computer Vision, 304-323, 2025 | 139 | 2025 |
| St-moe: Designing stable and transferable sparse expert models B Zoph, I Bello, S Kumar, N Du, Y Huang, J Dean, N Shazeer, W Fedus arXiv preprint arXiv:2202.08906, 2022 | 138 | 2022 |
| 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 | 126 | 2018 |
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
