Yingbo Gao

According to our database1, Yingbo Gao authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Alternating Weak Triphone/BPE Alignment Supervision from Hybrid Model Improves End-to-End ASR.
CoRR, 2024

ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change.
CoRR, 2024

2023
Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR.
CoRR, 2023

Improving Language Model Integration for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Self-Normalized Importance Sampling for Neural Language Modeling.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Revisiting Checkpoint Averaging for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Is Encoder-Decoder Redundant for Neural Machine Translation?
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Does Joint Training Really Help Cascaded Speech Translation?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
On Sampling-Based Training Criteria for Neural Language Modeling.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Transformer-Based Direct Hidden Markov Model for Machine Translation.
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020
Diving Deep into Context-Aware Neural Machine Translation.
Proceedings of the Fifth Conference on Machine Translation, 2020

Investigation of Large-Margin Softmax in Neural Language Modeling.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Predicting and Using Target Length in Neural Machine Translation.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Towards a Better Understanding of Label Smoothing in Neural Machine Translation.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Unifying Input and Output Smoothing in Neural Machine Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
The RWTH Aachen University Machine Translation Systems for WMT 2019.
Proceedings of the Fourth Conference on Machine Translation, 2019

Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification.
Proceedings of the 16th International Conference on Spoken Language Translation, 2019

uniblock: Scoring and Filtering Corpus with Unicode Block Information.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Improving Neural Language Models with Weight Norm Initialization and Regularization.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Adaptive Coding of Non-Negative Factorization Parameters with Application to Informed Source Separation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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