Qi Liu
Orcid: 0000-0003-3067-8333Affiliations:
- Shanghai Jiao Tong University, MoE Key Lab of Artificial Intelligence, Shanghai, China
- Shanghai Jiao Tong University, Department of Computer Science and Engineering, SpeechLab, Shanghai, China
According to our database1,
Qi Liu
authored at least 13 papers
between 2015 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2024
Leveraging in-the-wild Data for Effective Self-supervised Pretraining in Speaker Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024
2021
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
2020
Neural Network Language Model Compression With Product Quantization and Soft Binarization.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
Modular End-to-End Automatic Speech Recognition Framework for Acoustic-to-Word Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models.
Proceedings of the Natural Language Processing and Chinese Computing, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Addressing the Polysemy Problem in Language Modeling with Attentional Multi-Sense Embeddings.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Highly Efficient Neural Network Language Model Compression Using Soft Binarization Training.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017
2015
A study on effects of implicit and explicit language model information for DBLSTM-CTC based handwriting recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015