Jinfeng Rao
Jinfeng Rao
Research Scientist at Facebook
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Noise-contrastive estimation for answer selection with deep neural networks
J Rao, H He, J Lin
CIKM, 1913-1916, 2016
1102016
Infrastructure for supporting exploration and discovery in web archives
J Lin, M Gholami, J Rao
Proceedings of the 23rd International Conference on World Wide Web, 851-856, 2014
262014
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-based multi-perspective convolutional neural networks for textual similarity measurement
H He, J Wieting, K Gimpel, J Rao, J Lin
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
232016
Experiments with Convolutional Neural Network Models for Answer Selection
J Rao, H He, J Lin
SIGIR, 1217-1220, 2017
222017
Multi-perspective relevance matching with hierarchical ConvNets for social media search
J Rao, W Yang, Y Zhang, F Ture, J Lin
Proceedings of the AAAI Conference on Artificial Intelligence 33, 232-240, 2019
172019
Partitioning strategies for spatio-textual similarity join
J Rao, J Lin, H Samet
SIGSPATIAL, 40-49, 2014
172014
Reproducible experiments on lexical and temporal feedback for tweet search
J Rao, J Lin, M Efron
European Conference on Information Retrieval, 755-767, 2015
162015
Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks
J Rao, F Ture, H He, O Jojic, J Lin
CIKM, 557-566, 2017
152017
Exploring the effectiveness of convolutional neural networks for answer selection in end-to-end question answering
R Sequiera, G Baruah, Z Tu, S Mohammed, J Rao, H Zhang, J Lin
SIGIR Workshop on Neural Information Retrieval (Neu-IR), 2017
152017
Integrating Lexical and Temporal Signals in Neural Ranking Models for Social Media Search
J Rao, H He, H Zhang, F Ture, R Sequiera, S Mohammed, J Lin
SIGIR Workshop on Neural Information Retrieval (Neu-IR), 2017
13*2017
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue
A Balakrishnan, J Rao, K Upasani, M White, R Subba
ACL, 2019
82019
Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform
J Rao, F Ture, J Lin
KDD, 636-645, 2018
82018
Compressing and decoding term statistics time series
J Rao, X Niu, J Lin
European Conference on Information Retrieval, 675-681, 2016
82016
Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering
H Zhang, J Rao, J Lin, MD Smucker
SIGIR, 797-800, 2017
72017
Mining the Temporal Statistics of Query Terms for Searching Social Media Posts
J Rao, F Ture, X Niu, J Lin
Proceedings of the 2017 ACM International Conference on the Theory of …, 2017
72017
Temporal query expansion using a continuous hidden markov model
J Rao, J Lin
Proceedings of the 2016 ACM International Conference on the Theory of …, 2016
72016
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Y Tay, A Zhang, LA Tuan, J Rao, S Zhang, S Wang, J Fu, SC Hui
ACL, 2019
52019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
Y Tay, S Wang, LA Tuan, J Fu, MC Phan, X Yuan, J Rao, SC Hui, A Zhang
ACL, 2019
42019
Bridging the Gap Between Relevance Matching and Semantic Matching for Short Text Similarity Modeling
J Rao, L Liu, Y Tay, W Yang, P Shi, J Lin
EMNLP, 2019
42019
What Do Viewers Say to Their TVs? An Analysis of Voice Queries to Entertainment Systems.
J Rao, F Türe, J Lin
SIGIR, 1213-1216, 2018
42018
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Articles 1–20