| Noise-contrastive estimation for answer selection with deep neural networks J Rao, H He, J Lin CIKM, 1913-1916, 2016 | 97 | 2016 |
| 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 | 25 | 2014 |
| 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 | 22 | 2016 |
| Experiments with Convolutional Neural Network Models for Answer Selection J Rao, H He, J Lin SIGIR, 1217-1220, 2017 | 20 | 2017 |
| Reproducible experiments on lexical and temporal feedback for tweet search J Rao, J Lin, M Efron European Conference on Information Retrieval, 755-767, 2015 | 16 | 2015 |
| Partitioning strategies for spatio-textual similarity join J Rao, J Lin, H Samet SIGSPATIAL, 40-49, 2014 | 16 | 2014 |
| 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 | 15 | 2019 |
| 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 | 15 | 2017 |
| Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search J Rao, W Yang, Y Zhang, F Ture, J Lin | 15* | |
| 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 |
| 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 | 13 | 2017 |
| Compressing and decoding term statistics time series J Rao, X Niu, J Lin European Conference on Information Retrieval, 675-681, 2016 | 8 | 2016 |
| 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 | 7 | 2017 |
| 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 | 7 | 2016 |
| Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform J Rao, F Ture, J Lin KDD, 636-645, 2018 | 6 | 2018 |
| Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering H Zhang, J Rao, J Lin, MD Smucker SIGIR, 797-800, 2017 | 6 | 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 | 5 | 2019 |
| 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 | 3 | 2019 |
| 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 | 3 | 2019 |
| 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 | 3 | 2018 |
Jimmy LinUniversity of WaterlooVerified email at uwaterloo.ca
