| Deep residual learning for small-footprint keyword spotting R Tang, J Lin 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 34 | 2018 |
| An experimental analysis of the power consumption of convolutional neural networks for keyword spotting R Tang, W Wang, Z Tu, J Lin 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 14 | 2018 |
| Honk: A PyTorch reimplementation of convolutional neural networks for keyword spotting R Tang, J Lin arXiv preprint arXiv:1710.06554, 2017 | 9 | 2017 |
| Distilling Task-Specific Knowledge from BERT into Simple Neural Networks R Tang, Y Lu, L Liu, L Mou, O Vechtomova, J Lin arXiv preprint arXiv:1903.12136, 2019 | 8 | 2019 |
| Rethinking complex neural network architectures for document classification A Adhikari, A Ram, R Tang, J Lin Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 5 | 2019 |
| DocBERT: BERT for Document Classification A Adhikari, A Ram, R Tang, J Lin arXiv preprint arXiv:1904.08398, 2019 | 2 | 2019 |
| Progress and tradeoffs in neural language models R Tang, J Lin arXiv preprint arXiv:1811.00942, 2018 | 2 | 2018 |
| Adaptive Pruning of Neural Language Models for Mobile Devices R Tang, J Lin arXiv preprint arXiv:1809.10282, 2018 | 2 | 2018 |
| Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems R Tang, F Ture, J Lin Proceedings of the 42nd Annual International ACM SIGIR Conference on …, 2019 | 1 | 2019 |
| Universal voice-enabled user interfaces using JavaScript J Lee, R Tang, J Lin Proceedings of the 24th International Conference on Intelligent User …, 2019 | 1 | 2019 |
| Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks R Tang, G Yang, H Wei, Y Mao, F Ture, J Lin arXiv preprint arXiv:1812.07754, 2018 | 1 | 2018 |
| FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks R Tang, A Adhikari, J Lin arXiv preprint arXiv:1811.03060, 2018 | 1 | 2018 |
| JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis J Lee, R Tang, J Lin arXiv preprint arXiv:1810.12859, 2018 | 1 | 2018 |
| Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling L Liu, W Yang, J Rao, R Tang, J Lin Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | | 2019 |
| Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting J Lee, R Tang, J Lin Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | | 2019 |
| Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms F Ture, J Rao, R Tang, J Lin Proceedings of the 42nd Annual International ACM SIGIR Conference on …, 2019 | | 2019 |
Jimmy LinUniversity of WaterlooVerified email at uwaterloo.ca