| A FOFE-based local detection approach for named entity recognition and mention detection M Xu, H Jiang arXiv preprint arXiv:1611.00801, 2016 | 183 | 2016 |
| Cardinality estimation using neural networks H Liu, M Xu, Z Yu, V Corvinelli, C Zuzarte Proceedings of the 25th Annual International Conference on Computer Science …, 2015 | 135 | 2015 |
| The fixed-size ordinally-forgetting encoding method for neural network language models S Zhang, H Jiang, M Xu, J Hou, LR Dai Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 88 | 2015 |
| Estimating cardinality selectivity utilizing artificial neural networks V Corvinelli, H Liu, M Xu, Z Yu, CP Zuzarte US Patent 10,706,354, 2020 | 29 | 2020 |
| Training large-vocabulary neural language models by private federated learning for resource-constrained devices M Xu, C Song, Y Tian, N Agrawal, F Granqvist, R van Dalen, X Zhang, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 27 | 2023 |
| Cardinality estimation using artificial neural networks V Corvinelli, H Liu, M Xu, Z Yu, CP Zuzarte US Patent 10,643,132, 2020 | 21 | 2020 |
| A fixed-size encoding method for variable-length sequences with its application to neural network language models S Zhang, H Jiang, M Xu, J Hou, LR Dai arXiv preprint arXiv:1505.01504, 2015 | 19 | 2015 |
| Selectivity estimation using artificial neural networks V Corvinelli, H Liu, M Xu, Z Yu, CP Zuzarte US Patent 10,318,866, 2019 | 12 | 2019 |
| Word embeddings based on fixed-size ordinally forgetting encoding J Sanu, M Xu, H Jiang, Q Liu Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 12 | 2017 |
| Acoustic model fusion for end-to-end speech recognition Z Lei, M Xu, S Han, L Liu, Z Huang, T Ng, Y Zhang, E Pusateri, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-7, 2023 | 10 | 2023 |
| A general FOFE-net framework for simple and effective question answering over knowledge bases D Wu, N Nosirova, H Jiang, M Xu arXiv preprint arXiv:1903.12356, 2019 | 10 | 2019 |
| The YorkNRM Systems for Trilingual EDL Tasks at TAC KBP 2016. M Xu, F Wei, S Watcharawittayakul, Y Kang, H Jiang TAC, 2016 | 9 | 2016 |
| Personalization of ctc-based end-to-end speech recognition using pronunciation-driven subword tokenization Z Lei, E Pusateri, S Han, L Liu, M Xu, T Ng, R Travadi, Y Zhang, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 8 | 2024 |
| FOFE-based Deep Neural Networks for Entity Discovery and Linking. M Xu, N Nosirova, K Jiang, F Wei, H Jiang TAC, 2017 | 8 | 2017 |
| Dual fixed-size ordinally forgetting encoding (fofe) for competitive neural language models S Watcharawittayakul, M Xu, H Jiang Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 5 | 2018 |
| Estimating cardinality selectivity utilizing artificial neural networks V Corvinelli, H Liu, M Xu, Z Yu, CP Zuzarte US Patent 11,030,521, 2021 | 3 | 2021 |
| A multi-task learning approach for named entity recognition using local detection N Nosirova, M Xu, H Jiang arXiv preprint arXiv:1904.03300, 2019 | 3 | 2019 |
| Conformer-based speech recognition on extreme edge-computing devices M Xu, A Jin, S Wang, M Su, T Ng, H Mason, S Han, Z Lei, Y Deng, ... arXiv preprint arXiv:2312.10359, 2023 | 2 | 2023 |
| Contextualization of ASR with LLM using phonetic retrieval-based augmentation Z Lei, X Na, M Xu, E Pusateri, C Van Gysel, Y Zhang, S Han, Z Huang arXiv preprint arXiv:2409.15353, 2024 | 1 | 2024 |
| Fixed Size Ordinally-Forgetting Encoding and its Applications M Xu | 1 | 2017 |
