Zhe Liu

According to our database, Zhe Liu authored at least 21 papers between 2010 and 2023.

Collaborative distances:

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

2023

Correction Focused Language Model Training for Speech Recognition.

Yingyi Ma, Zhe Liu, Ozlem Kalinli

CoRR, 2023

Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble.

Zhe Liu, Ozlem Kalinli

CoRR, 2023

Recovering from Privacy-Preserving Masking with Large Language Models.

Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli

CoRR, 2023

Contextual Biasing of Named-Entities with Large Language Models.

Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Lucas Kabela, Yutong Pang, Ozlem Kalinli

CoRR, 2023

Adaptive Multi-Corpora Language Model Training for Speech Recognition.

Yingyi Ma, Zhe Liu, Xuedong Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

Mitigating Unintended Memorization in Language Models Via Alternating Teaching.

Zhe Liu, Xuedong Zhang, Fuchun Peng

Proceedings of the IEEE International Conference on Acoustics, 2023

Group Personalized Federated Learning.

Zhe Liu, Yue Hui, Fuchun Peng

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Modeling Dependent Structure for Utterances in ASR Evaluation.

Zhe Liu, Fuchun Peng

CoRR, 2022

Model-Based Approach for Measuring the Fairness in ASR.

Zhe Liu, Irina-Elena Veliche, Fuchun Peng

Proceedings of the IEEE International Conference on Acoustics, 2022

Neural-FST Class Language Model for End-to-End Speech Recognition.

Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Private Language Model Adaptation for Speech Recognition.

Zhe Liu, Ke Li, Shreyan Bakshi, Fuchun Peng

CoRR, 2021

Federated Marginal Personalization for ASR Rescoring.

Zhe Liu, Fuchun Peng

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Statistical Testing on ASR Performance via Blockwise Bootstrap.

Zhe Liu, Fuchun Peng

Proceedings of the Interspeech 2020, 2020

An Empirical Study of Transformer-Based Neural Language Model Adaptation.

Ke Li, Zhe Liu, Tianxing He, Hongzhao Huang, Fuchun Peng, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Statistical Testing on ASR Performance via Blockwise Bootstrap.

Zhe Liu

CoRR, 2019

Improving N-gram Language Models with Pre-trained Deep Transformer.

Yiren Wang, Hongzhao Huang, Zhe Liu, Yutong Pang, Yongqiang Wang, ChengXiang Zhai, Fuchun Peng

CoRR, 2019

2014

Blossom Tree Graphical Models.

Zhe Liu, John D. Lafferty

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012

Support Vector Machines with L₁ penalty for detecting gene-gene interactions.

Yuanyuan Shen, Zhe Liu, Jürg Ott

Int. J. Data Min. Bioinform., 2012

2011

Multilocus association mapping using generalized ridge logistic regression.

Zhe Liu, Yuanyuan Shen, Jurg Ott

BMC Bioinform., 2011

2010

Detecting gene-gene interactions using support vector machines with L1 penalty.

Yuanyuan Shen, Zhe Liu, Jurg Ott

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

P-value distribution in case-control association studies.

Zhe Liu, Jurg Ott, Yuanyuan Shen

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010