---
title: "Yonghui Wu — all works — Elamur Research"
description: "All 38 works of Yonghui Wu in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/yonghui-wu/works/"
---
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# Yonghui Wu — all works

38 works · [← Yonghui Wu](https://md.research.elamur.ai/free/en/authors/yonghui-wu/)

1. **[Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation ↗](https://arxiv.org/abs/1609.08144) arXiv:1609.08144 · no summary yet**Yonghui Wu et al.*2016 · 6,904 citations*
2. **[Conformer: Convolution-augmented Transformer for Speech Recognition](https://md.research.elamur.ai/free/en/papers/gulati-2020-conformer-convolution-augmented-transformer-speech/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Anmol Gulati, James Qin, Chung-Cheng Chiu, et al.*2020 · 3,475 citations*
3. **[Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions ↗](https://doi.org/10.1109/icassp.2018.8461368) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Jonathan Shen et al.*2018 · 2,912 citations*
4. **[Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation](https://md.research.elamur.ai/free/en/papers/johnson-2017-google-s-multilingual-neural-machine/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Melvin Johnson, Mike Schuster, Quoc V. Le, et al.*2017 · 2,630 citations*
5. **[Tacotron: Towards End-to-End Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2017-1452) Interspeech (USB) · no summary yet**Yuxuan Wang et al.*2017 · 1,786 citations*
6. **[Exploring the Limits of Language Modeling ↗](https://arxiv.org/abs/1602.02410) arXiv:1602.02410 · no summary yet**Rafal Jozefowicz et al.*2016 · 1,091 citations*
7. **[State-of-the-Art Speech Recognition with Sequence-to-Sequence Models ↗](https://doi.org/10.1109/icassp.2018.8462105) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Chung‐Cheng Chiu et al.*2018 · 1,078 citations*
8. **[GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism ↗](https://arxiv.org/abs/1811.06965) arXiv:1811.06965 · no summary yet**Yanping Huang et al.*2018 · 809 citations*
9. [**CoCa: Contrastive Captioners are Image-Text Foundation Models arXiv:2205.01917**Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al.*2022 · 667 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-coca-contrastive-captioners-image-text/)
10. **[Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis ↗](https://arxiv.org/abs/1806.04558) arXiv (Cornell University) · no summary yet**Jia Ye et al.*2018 · 470 citations*
11. **[Sequence-to-Sequence Models Can Directly Translate Foreign Speech ↗](https://doi.org/10.21437/interspeech.2017-503) Interspeech (USB) · no summary yet**Ron J. Weiss et al.*2017 · 446 citations*
12. **[ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context ↗](https://doi.org/10.21437/interspeech.2020-2059) Interspeech (USB) · no summary yet**Wei Han et al.*2020 · 313 citations*
13. **[An Analysis of Incorporating an External Language Model into a Sequence-to-Sequence Model ↗](https://doi.org/10.1109/icassp.2018.8462682) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Anjuli Kannan et al.*2018 · 279 citations*
14. **[Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model ↗](https://doi.org/10.21437/interspeech.2019-1951) Interspeech (USB) · no summary yet**Jia Ye et al.*2019 · 252 citations*
15. **[Improved Noisy Student Training for Automatic Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-1470) Interspeech (USB) · no summary yet**Daniel Park et al.*2020 · 251 citations*
16. **[Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition ↗](https://arxiv.org/abs/2010.10504) arXiv (Cornell University) · no summary yet**Yu Zhang et al.*2020 · 233 citations*
17. **[Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling ↗](https://arxiv.org/abs/1902.08295) arXiv (Cornell University) · no summary yet**Jonathan Shen et al.*2019 · 213 citations*
18. **[A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency ↗](https://doi.org/10.1109/icassp40776.2020.9054188) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Tara N. Sainath et al.*2020 · 205 citations*
19. **[Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. ↗](https://arxiv.org/abs/1703.10135) arXiv (Cornell University) · no summary yet**Yuxuan Wang et al.*2017 · 200 citations*
20. **[Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning ↗](https://doi.org/10.21437/interspeech.2019-2668) Interspeech (USB) · no summary yet**Yu Zhang et al.*2019 · 182 citations*
21. **[Training Deeper Neural Machine Translation Models with Transparent Attention ↗](https://aclanthology.org/D18-1338/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ankur Bapna et al.*2018 · 182 citations*
22. **[BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition ↗](https://doi.org/10.1109/jstsp.2022.3182537) IEEE Journal of Selected Topics in Signal Processing · no summary yet**Yu Zhang et al.*2022 · 180 citations*
23. **[Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model ↗](https://doi.org/10.21437/interspeech.2019-2858) Interspeech (USB) · no summary yet**Anjuli Kannan et al.*2019 · 178 citations*
24. **[Specaugment on Large Scale Datasets ↗](https://doi.org/10.1109/icassp40776.2020.9053205) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Daniel Park et al.*2020 · 154 citations*
25. [**LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech arXiv:1904.02882**Heiga Zen, Viet Dang, Rob Clark, et al.*2019 · 153 citations*](https://md.research.elamur.ai/free/en/papers/zen-2019-libritts-corpus-derived-librispeech-text/)
26. **[Minimum Word Error Rate Training for Attention-Based Sequence-to-Sequence Models ↗](https://doi.org/10.1109/icassp.2018.8461809) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Rohit Prabhavalkar et al.*2018 · 152 citations*
27. **[Reward Augmented Maximum Likelihood for Neural Structured Prediction ↗](https://arxiv.org/abs/1609.00150) arXiv (Cornell University) · no summary yet**Mohammad Norouzi et al.*2016 · 146 citations*
28. **[Building Machine Translation Systems for the Next Thousand Languages ↗](https://arxiv.org/abs/2205.03983) arXiv (Cornell University) · no summary yet**Ankur Bapna et al.*2022 · 131 citations*
29. **[GSPMD: General and Scalable Parallelization for ML Computation Graphs ↗](https://arxiv.org/abs/2105.04663) arXiv (Cornell University) · no summary yet**Yuanzhong Xu et al.*2021 · 119 citations*
30. **[Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/siddhant-2020-leveraging-monolingual-data-self-supervision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Siddhant, Ankur Bapna, Yuan Cao, et al.*2020 · 109 citations*
31. **[A Comparison of End-to-End Models for Long-Form Speech Recognition ↗](https://doi.org/10.1109/asru46091.2019.9003854) IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · no summary yet**Chung‐Cheng Chiu et al.*2019 · 90 citations*
32. **[Gmail Smart Compose: Real-Time Assisted Writing ↗](https://arxiv.org/abs/1906.00080) arXiv (Cornell University) · no summary yet**Mia Xu Chen et al.*2019 · 89 citations*
33. **[Pathways: Asynchronous Distributed Dataflow for ML ↗](https://arxiv.org/abs/2203.12533) arXiv (Cornell University) · no summary yet**Paul Barham et al.*2022 · 85 citations*
34. **[PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS ↗](https://doi.org/10.21437/interspeech.2021-1757) Interspeech (USB) · no summary yet**Jia Ye et al.*2021 · 75 citations*
35. **[Hierarchical Generative Modeling for Controllable Speech Synthesis ↗](https://arxiv.org/abs/1810.07217) arXiv (Cornell University) · no summary yet**Wei-Ning Hsu et al.*2018 · 55 citations*
36. **[No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models ↗](https://doi.org/10.1109/icassp.2018.8462380) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Tara N. Sainath et al.*2018 · 55 citations*
37. **[N-Grammer: Augmenting Transformers with latent n-grams ↗](https://arxiv.org/abs/2207.06366) arXiv (Cornell University) · no summary yet**Aurko Roy et al.*2022 · 8 citations*
38. **[On the Impact of Cross-Domain Data on German Language Models ↗](https://aclanthology.org/2023.findings-emnlp.922/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Amin Dada et al.*2023 · 7 citations*