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Bi-Cheng Yan

Bi-Cheng Yan has 3 papers in our library, in 2020–2026, most of them on English, Language models & pretraining, Vision & language; often with Berlin Chen, Fu-An Chao.

3 papers in our library · 2020–2026

OpenAlex · ORCID · h-index 4 · 18 works · 64 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 8 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5275

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

🎓National Taiwan Normal UniversityTaipei · Taiwan2017–2026 · 14 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksPsychology · 2 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksExperimental and Cognitive Psychology · 2 worksSignal Processing · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.English · 2 worksLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20261 paperBi-Cheng Yan's papers of 202620211 paperBi-Cheng Yan's papers of 202120201 paperBi-Cheng Yan's papers of 2020

 Papers

The most cited first (OpenAlex and our library).

  1. An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling (2020 · 46 citations)
    Computer-assisted pronunciation training (CAPT) depends on mispronunciation detection and diagnosis (MDD).
  2. Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods (2021 · 20 citations)
    Computer-assisted pronunciation training needs mispronunciation detection and diagnosis (MDD) that works for learners of English with many different native-language accents.
  3. MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description Scenarios (2026)
    MASA is a scoring model for automatic speaking assessment (ASA) of second-language (L2) learners in picture-description tasks.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone ModelingInterspeechBi-Cheng Yan, Meng-Che Wu, Hsiao-Tsung Hung, et al.2020 · 46 citations
  2. Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating MethodsIEEE Automatic Speech Recognition and Understanding Workshop (ASRU)Shao-Wei Fan Jiang, Bi-Cheng Yan, Tien-Hong Lo, et al.2021 · 20 citations
  3. MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description ScenariosLanguage Resources and Evaluation Conference (LREC)Bi-Cheng Yan, Fu-An Chao, Hong-Yun H.Y. Lin, et al.2026
  4. RABIT: Rationale-Based Distillation Towards Interpretable Automatic Speaking Assessment via a Small Language Model ↗Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026) · no summary yetBi-Cheng Yan et al.2026

 Co-authors here

2 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 8 times (of the 141,840 papers whose bibliographies we read); 4 citing papers with a page here →.

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