Qiuhui Liu

According to our database, Qiuhui Liu authored at least 15 papers between 2017 and 2021.

Collaborative distances:

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

2021

Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers.

Hongfei Xu, Josef van Genabith, Qiuhui Liu, Deyi Xiong

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Learning Hard Retrieval Decoder Attention for Transformers.

Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation.

Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Meng Zhang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation.

Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Learning Hard Retrieval Cross Attention for Transformer.

Hongfei Xu, Qiuhui Liu

CoRR, 2020

Transformer with Depth-Wise LSTM.

Hongfei Xu, Qiuhui Liu, Deyi Xiong, Josef van Genabith

CoRR, 2020

Analyzing Word Translation of Transformer Layers.

Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu

CoRR, 2020

Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating.

Hongfei Xu, Deyi Xiong, Josef van Genabith, Qiuhui Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Lipschitz Constrained Parameter Initialization for Deep Transformers.

Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Jingyi Zhang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Source Phrase Representations for Neural Machine Translation.

Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu, Jingyi Zhang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change.

Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization.

Hongfei Xu, Qiuhui Liu, Josef van Genabith, Jingyi Zhang

CoRR, 2019

Neutron: An Implementation of the Transformer Translation Model and its Variants.

Hongfei Xu, Qiuhui Liu

CoRR, 2019

UdS Submission for the WMT 19 Automatic Post-Editing Task.

Hongfei Xu, Qiuhui Liu, Josef van Genabith

Proceedings of the Fourth Conference on Machine Translation, 2019

2017

Improving Chinese-English Neural Machine Translation with Detected Usages of Function Words.

Kunli Zhang, Hongfei Xu, Deyi Xiong, Qiuhui Liu, Hongying Zan

Proceedings of the Natural Language Processing and Chinese Computing, 2017