The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models. - Shiliang Zhang; Hui Jiang 001; Mingbin Xu; Junfeng Hou; Li-Rong Dai 001 (ACL (2), 2015)

Cardinality estimation using neural networks. - Henry Liu; Mingbin Xu; Ziting Yu; Vincent Corvinelli; Calisto Zuzarte (CASCON, 2015)

A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models. - Shiliang Zhang; Hui Jiang 001; Mingbin Xu; Junfeng Hou; Li-Rong Dai 001 (CoRR, 2015)

The YorkNRM Systems for Trilingual EDL Tasks at TAC KBP 2016. - Mingbin Xu; Feng Wei 002; Sedtawut Watcharawittayakul; Yuchen Kang; Hui Jiang 001 (TAC, 2016)

A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection. - Mingbin Xu; Hui Jiang 001 (CoRR, 2016)

A Local Detection Approach for Named Entity Recognition and Mention Detection. - Mingbin Xu; Hui Jiang 001; Sedtawut Watcharawittayakul (ACL (1), 2017)

Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding. - Joseph Sanu; Mingbin Xu; Hui Jiang 001; Quan Liu 003 (EMNLP, 2017)

FOFE-based Deep Neural Networks for Entity Discovery and Linking. - Mingbin Xu; Nargiza Nosirova; Kelvin Jiang; Feng Wei 002; Hui Jiang 001 (TAC, 2017)

Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models. - Sedtawut Watcharawittayakul; Mingbin Xu; Hui Jiang 001 (EMNLP, 2018)

Fixed-Size Ordinally Forgetting Encoding Based Word Sense Disambiguation. - Xi Zhu; Mingbin Xu; Hui Jiang 001 (CoRR, 2019)

A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases. - Dekun Wu; Nana Nosirova; Hui Jiang 001; Mingbin Xu (CoRR, 2019)

A Multi-task Learning Approach for Named Entity Recognition using Local Detection. - Nargiza Nosirova; Mingbin Xu; Hui Jiang 001 (CoRR, 2019)

Effective Context and Fragment Feature Usage for Named Entity Recognition. - Nargiza Nosirova; Mingbin Xu; Hui Jiang 001 (CoRR, 2019)

Acoustic Model Fusion For End-to-End Speech Recognition. - Zhihong Lei; Mingbin Xu; Shiyi Han; Leo Liu; Zhen Huang 001; Tim Ng; Yuanyuan Zhang; Ernest Pusateri; Mirko Hannemann; Yaqiao Deng; Man-Hung Siu (ASRU, 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; et al. (ICASSP, 2023)

Conformer-Based Speech Recognition On Extreme Edge-Computing Devices. - Mingbin Xu; Alex Jin; Sicheng Wang 004; Mu Su; Tim Ng; Henry Mason; Shiyi Han; Yaqiao Deng; Zhen Huang 001; Mahesh Krishnamoorthy (CoRR, 2023)

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 001 (ICASSP, 2024)

Enhancing CTC-based speech recognition with diverse modeling units. - Shiyi Han; Mingbin Xu; Zhihong Lei; Zhen Huang 001; Xingyu Na (INTERSPEECH, 2024)

Conformer-Based Speech Recognition On Extreme Edge-Computing Devices. - Mingbin Xu; Alex Jin; Sicheng Wang 004; Mu Su; Tim Ng; Henry Mason; Shiyi Han; Zhihong Lei; Yaqiao Deng; Zhen Huang 001; Mahesh Krishnamoorthy (NAACL (Industry Track), 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 001 (ICASSP, 2025)