| Justifying recommendations using distantly-labeled reviews and fine-grained aspects J Ni, J Li, J McAuley Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 411 | 2019 |
| Analysis and optimization of droop controller for microgrid system based on small-signal dynamic model K Yu, Q Ai, S Wang, J Ni, T Lv IEEE Transactions on Smart Grid 7 (2), 695-705, 2015 | 240 | 2015 |
| Economic power transaction using coalitional game strategy in micro‐grids J Ni, Q Ai IET Generation, Transmission & Distribution 10 (1), 10-18, 2016 | 74 | 2016 |
| Scalable and accurate dialogue state tracking via hierarchical sequence generation L Ren, J Ni, J McAuley arXiv preprint arXiv:1909.00754, 2019 | 59 | 2019 |
| Personalized review generation by expanding phrases and attending on aspect-aware representations J Ni, J McAuley Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 48 | 2018 |
| Generating personalized recipes from historical user preferences BP Majumder, S Li, J Ni, J McAuley arXiv preprint arXiv:1909.00105, 2019 | 45 | 2019 |
| Modeling heart rate and activity data for personalized fitness recommendation J Ni, L Muhlstein, J McAuley The World Wide Web Conference, 1343-1353, 2019 | 45 | 2019 |
| Estimating reactions and recommending products with generative models of reviews J Ni, ZC Lipton, S Vikram, J McAuley Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 38 | 2017 |
| Learning to attend on essential terms: An enhanced retriever-reader model for open-domain question answering J Ni, C Zhu, W Chen, J McAuley arXiv preprint arXiv:1808.09492, 2018 | 32 | 2018 |
| Addressing marketing bias in product recommendations M Wan, J Ni, R Misra, J McAuley Proceedings of the 13th international conference on web search and data …, 2020 | 27 | 2020 |
| Ext5: Towards extreme multi-task scaling for transfer learning V Aribandi, Y Tay, T Schuster, J Rao, HS Zheng, SV Mehta, H Zhuang, ... arXiv preprint arXiv:2111.10952, 2021 | 23 | 2021 |
| Transformer memory as a differentiable search index Y Tay, VQ Tran, M Dehghani, J Ni, D Bahri, H Mehta, Z Qin, K Hui, Z Zhao, ... arXiv preprint arXiv:2202.06991, 2022 | 12 | 2022 |
| Multi-stage training with improved negative contrast for neural passage retrieval J Lu, GH Ábrego, J Ma, J Ni, Y Yang Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 12* | 2021 |
| Sentence-t5: Scalable sentence encoders from pre-trained text-to-text models J Ni, GH Ábrego, N Constant, J Ma, KB Hall, D Cer, Y Yang arXiv preprint arXiv:2108.08877, 2021 | 12 | 2021 |
| Large dual encoders are generalizable retrievers J Ni, C Qu, J Lu, Z Dai, GH Ábrego, J Ma, VY Zhao, Y Luan, KB Hall, ... arXiv preprint arXiv:2112.07899, 2021 | 10 | 2021 |
| Learning visual-semantic embeddings for reporting abnormal findings on chest x-rays J Ni, CN Hsu, A Gentili, J McAuley arXiv preprint arXiv:2010.02467, 2020 | 9 | 2020 |
| Interview: Large-scale modeling of media dialog with discourse patterns and knowledge grounding BP Majumder, S Li, J Ni, J McAuley Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 8 | 2020 |
| Security-aware task scheduling using untrusted components in high-level synthesis N Wang, S Chen, J Ni, X Ling, Y Zhu IEEE Access 6, 15663-15678, 2018 | 7 | 2018 |
| Scaling Up Models and Data with T5X and SeqIO A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ... https://arxiv.org/abs/2203.17189, 2022 | 6 | 2022 |
| Interconnection allocation between functional units and registers in high-level synthesis C Hao, J Ni, N Wang, T Yoshimura IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (3 …, 2016 | 6 | 2016 |
