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Yinghui Huang

Yinghui Huang has 2 papers in our library, in 2019–2023, most of them on Language models & pretraining, Speech & spoken language, English; often with Bhuvana Ramabhadran, Brian Kingsbury, Daniel Park.

2 papers in our library · 2019–2023

OpenAlex · ORCID · h-index 17 · 73 works · 957 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 78 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8365

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Wuhan University of TechnologyWuhan · China2022–2026 · 9 papersEmployment since 2023 · PHD, School of Psychologycurrent🎓Central China Normal UniversityWuhan · China2017–2022 · 9 papers🏢IBMArmonk · United States2018–2020 · 8 papers🏢GoogleMountain View · United States2021–2025 · 6 papers🎓Sichuan Agricultural UniversityYa'an · China2022–2024 · 3 papers🎓Qingdao UniversityQingdao · China2023–2024 · 2 papers🎓Dalian Maritime UniversityDalian · China2008–2013 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workEnglish · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20231 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Large-scale Language Model Rescoring on Long-form Data (2023 · 21 citations)
    The paper asks whether very large language models help speech recognition of long recordings, using 30-minute YouTube videos as the test material.
  2. English Broadcast News Speech Recognition by Humans and Machines (2019 · 12 citations)
    The paper asks whether deep-learning recipes that brought conversational telephone speech (CTS) recognition near human level also work for English broadcast news (BN).

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetAlex Wang et al.2019 · 154 citations
  2. Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. ↗no summary yetSamuel R. Bowman et al.2018 · 34 citations
  3. Large-scale Language Model Rescoring on Long-form DataIEEE International Conference on Acoustics Speech and Signal ProcessingTongzhou Chen, Cyril Allauzen, Yinghui Huang, et al.2023 · 21 citations
  4. English Broadcast News Speech Recognition by Humans and MachinesIEEE International Conference on Acoustics Speech and Signal ProcessingSamuel Thomas, Masayuki Suzuki, Yinghui Huang, et al.2019 · 12 citations

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 78 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

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