Jianmo Ni
Jianmo Ni
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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
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
Economic power transaction using coalitional game strategy in micro‐grids
J Ni, Q Ai
IET Generation, Transmission & Distribution 10 (1), 10-18, 2016
Scalable and accurate dialogue state tracking via hierarchical sequence generation
L Ren, J Ni, J McAuley
arXiv preprint arXiv:1909.00754, 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
Generating personalized recipes from historical user preferences
BP Majumder, S Li, J Ni, J McAuley
arXiv preprint arXiv:1909.00105, 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
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
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
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
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
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
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
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
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
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
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
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
Scaling Up Models and Data with T5X and SeqIO
A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ..., 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
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