A study on effects of implicit and explicit language model information for DBLSTM-CTC based handwriting recognition. - Qi Liu 018; Lijuan Wang; Qiang Huo (ICDAR, 2015)

Future vector enhanced LSTM language model for LVCSR. - Qi Liu 018; Yanmin Qian; Kai Yu 004 (ASRU, 2017)

On Modular Training of Neural Acoustics-to-Word Model for LVCSR. - Zhehuai Chen; Qi Liu 018; Hao Li; Kai Yu 004 (ICASSP, 2018)

Noise Robust Speech Recognition on Aurora4 by Humans and Machines. - Yanmin Qian; Tian Tan 002; Hu Hu; Qi Liu 018 (ICASSP, 2018)

Highly Efficient Neural Network Language Model Compression Using Soft Binarization Training. - Rao Ma; Qi Liu 018; Kai Yu 004 (ASRU, 2019)

Addressing the Polysemy Problem in Language Modeling with Attentional Multi-Sense Embeddings. - Rao Ma; Lesheng Jin; Qi Liu 018; Lu Chen 002; Kai Yu 004 (ICASSP, 2020)

Neural Lattice Search for Speech Recognition. - Rao Ma; Hao Li; Qi Liu 018; Lu Chen 002; Kai Yu 004 (ICASSP, 2020)

An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models. - Zihan Zhao; Yuncong Liu; Lu Chen 002; Qi Liu 018; Rao Ma; Kai Yu 004 (NLPCC (1), 2020)

An Investigation on Deep Learning with Beta Stabilizer. - Qi Liu 018; Tian Tan 002; Kai Yu 004 (CoRR, 2020)

Modular End-to-End Automatic Speech Recognition Framework for Acoustic-to-Word Model. - Qi Liu 018; Zhehuai Chen; Hao Li; Mingkun Huang; Yizhou Lu; Kai Yu 004 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Neural Network Language Model Compression With Product Quantization and Soft Binarization. - Kai Yu 004; Rao Ma; Kaiyu Shi; Qi Liu 018 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Class-Based Neural Network Language Model for Second-Pass Rescoring in ASR. - Lingfeng Dai; Qi Liu 018; Kai Yu 004 (Interspeech, 2021)

Leveraging in-the-wild Data for Effective Self-supervised Pretraining in Speaker Recognition. - Shuai Wang 016; Qibing Bai; Qi Liu 018; Jianwei Yu 001; Zhengyang Chen; Bing Han 008; Yanmin Qian; Haizhou Li 001 (ICASSP, 2024)