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 | 3812 | 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 | 2272 | 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 | 1056 | 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 | 969 | 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 | 732 | 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 | 384 | 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 | 326 | 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 | 322 | 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 | 300 | 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 | 206 | 2015 |
Learning networks of heterogeneous influence N Du, L Song, M Yuan, A Smola Advances in neural information processing systems 25, 2012 | 204 | 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 | 177 | 2014 |
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 | 176 | 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 | 165 | 2015 |
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 | 144 | 2022 |
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 | 144 | 2008 |
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 | 130 | 2021 |
Uncover topic-sensitive information diffusion networks N Du, L Song, H Woo, H Zha Artificial Intelligence and Statistics, 229-237, 2013 | 122 | 2013 |
Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process E Choi, N Du, R Chen, L Song, J Sun | 119 | 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 | 117 | 2018 |