Mingbin Xu

According to our database, Mingbin Xu authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Contextualization of ASR with LLM using phonetic retrieval-based augmentation.

Zhihong Lei, Xingyu Na, Mingbin Xu, Ernest Pusateri, Christophe Van Gysel, Yuanyuan Zhang, Shiyi Han, Zhen Huang

CoRR, 2024

Enhancing CTC-based speech recognition with diverse modeling units.

Shiyi Han, Zhihong Lei, Mingbin Xu, Xingyu Na, Zhen Huang

CoRR, 2024

Conformer-Based Speech Recognition On Extreme Edge-Computing Devices.

Mingbin Xu, Alex Jin, Sicheng Wang, Mu Su, Tim Ng, Henry Mason, Shiyi Han, Zhihong Lei, Yaqiao Deng, Zhen Huang, Mahesh Krishnamoorthy

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Personalization of CTC-Based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization.

Zhihong Lei, Ernest Pusateri, Shiyi Han, Leo Liu, Mingbin Xu, Tim Ng, Ruchir Travadi, Youyuan Zhang, Mirko Hannemann, Man-Hung Siu, Zhen Huang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Conformer-Based Speech Recognition On Extreme Edge-Computing Devices.

Mingbin Xu, Alex Jin, Sicheng Wang, Mu Su, Tim Ng, Henry Mason, Shiyi Han, Yaqiao Deng, Zhen Huang, Mahesh Krishnamoorthy

CoRR, 2023

Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices.

Mingbin Xu, Congzheng Song, Ye Tian, Neha Agrawal, Filip Granqvist, Rogier C. van Dalen, Xiao Zhang, Arturo Argueta, Shiyi Han, Yaqiao Deng, Leo Liu, Anmol Walia, Alex Jin

Proceedings of the IEEE International Conference on Acoustics, 2023

Acoustic Model Fusion For End-to-End Speech Recognition.

Zhihong Lei, Mingbin Xu, Shiyi Han, Leo Liu, Zhen Huang, Tim Ng, Yuanyuan Zhang, Ernest Pusateri, Mirko Hannemann, Yaqiao Deng, Man-Hung Siu

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2019

Effective Context and Fragment Feature Usage for Named Entity Recognition.

Nargiza Nosirova, Mingbin Xu, Hui Jiang

CoRR, 2019

A Multi-task Learning Approach for Named Entity Recognition using Local Detection.

Nargiza Nosirova, Mingbin Xu, Hui Jiang

CoRR, 2019

A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases.

Dekun Wu, Nana Nosirova, Hui Jiang, Mingbin Xu

CoRR, 2019

Fixed-Size Ordinally Forgetting Encoding Based Word Sense Disambiguation.

Xi Zhu, Mingbin Xu, Hui Jiang

CoRR, 2019

2018

Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models.

Sedtawut Watcharawittayakul, Mingbin Xu, Hui Jiang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

FOFE-based Deep Neural Networks for Entity Discovery and Linking.

Mingbin Xu, Nargiza Nosirova, Kelvin Jiang, Feng Wei, Hui Jiang

Proceedings of the 2017 Text Analysis Conference, 2017

Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding.

Joseph Sanu, Mingbin Xu, Hui Jiang, Quan Liu

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Local Detection Approach for Named Entity Recognition and Mention Detection.

Mingbin Xu, Hui Jiang, Sedtawut Watcharawittayakul

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection.

Mingbin Xu, Hui Jiang

CoRR, 2016

The YorkNRM Systems for Trilingual EDL Tasks at TAC KBP 2016.

Mingbin Xu, Feng Wei, Sedtawut Watcharawittayakul, Yuchen Kang, Hui Jiang

Proceedings of the 2016 Text Analysis Conference, 2016

2015

A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models.

Shiliang Zhang, Hui Jiang, Mingbin Xu, Junfeng Hou, Li-Rong Dai

CoRR, 2015

Cardinality estimation using neural networks.

Henry Liu, Mingbin Xu, Ziting Yu, Vincent Corvinelli, Calisto Zuzarte

Proceedings of 25th Annual International Conference on Computer Science and Software Engineering, 2015

The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models.

Shiliang Zhang, Hui Jiang, Mingbin Xu, Junfeng Hou, Li-Rong Dai

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015