--- title: "Bi-Cheng Yan — author profile and papers — Elamur Research" description: "Bi-Cheng Yan, National Taiwan Normal University: 3 papers on Elamur Research (2020–2026), h-index 4 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/bi-cheng-yan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bi-cheng-yan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bi-Cheng Yan # Bi-Cheng Yan Bi-Cheng Yan has 3 papers in our library, in 2020–2026, most of them on [English](https://md.research.elamur.ai/free/en/topics/english/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Berlin Chen](https://md.research.elamur.ai/free/en/authors/berlin-chen/), [Fu-An Chao](https://md.research.elamur.ai/free/en/authors/fu-an-chao/). 3 papers in our library · 2020–2026 [OpenAlex](https://openalex.org/A5061406456) · [ORCID](https://orcid.org/0009-0002-1987-2418) · [**h-index 4**](https://openalex.org/authors/A5061406456) · [18 works](https://openalex.org/works?filter=author.id:A5061406456) · [64 citations](https://openalex.org/works?filter=author.id:A5061406456&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/bi-cheng-yan/#papers) · [🔗 Cited 8 times in our library](https://md.research.elamur.ai/free/en/authors/bi-cheng-yan/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5275](https://md.research.elamur.ai/free/en/paper-stars/page/53/#star-5275) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Bi-Cheng+Yan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bi-Cheng+Yan) · [dblp](https://dblp.org/search?q=Bi-Cheng+Yan) · [ACL Anthology](https://aclanthology.org/search/?q=Bi-Cheng+Yan) ## Affiliations [🎓**National Taiwan Normal University** Taipei · Taiwan 2017–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/national-taiwan-normal-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Experimental and Cognitive Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Signal Processing · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[English · 2 works](https://md.research.elamur.ai/free/en/topics/english/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 1 paper Bi-Cheng Yan's papers of 2026](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/) · [**2021** 1 paper Bi-Cheng Yan's papers of 2021](https://md.research.elamur.ai/free/en/papers/jiang-2021-towards-robust-mispronunciation-detection-diagnosis/) · [**2020** 1 paper Bi-Cheng Yan's papers of 2020](https://md.research.elamur.ai/free/en/papers/yan-2020-end-end-mispronunciation-detection-system/) ## 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](https://md.research.elamur.ai/free/en/papers/yan-2020-end-end-mispronunciation-detection-system/)** *(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](https://md.research.elamur.ai/free/en/papers/jiang-2021-towards-robust-mispronunciation-detection-diagnosis/)** *(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](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/)** *(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 Modeling](https://md.research.elamur.ai/free/en/papers/yan-2020-end-end-mispronunciation-detection-system/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Bi-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 Methods](https://md.research.elamur.ai/free/en/papers/jiang-2021-towards-robust-mispronunciation-detection-diagnosis/) [IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)](https://md.research.elamur.ai/free/en/venues/ieee-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 Scenarios](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://aclanthology.org/2026.bea-1.9/) Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026) · no summary yet**Bi-Cheng Yan et al.*2026* ## Co-authors here 2 co-authors with a page, the most papers together first. - [Berlin Chen](https://md.research.elamur.ai/free/en/authors/berlin-chen/) ×3 - [Fu-An Chao](https://md.research.elamur.ai/free/en/authors/fu-an-chao/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)](https://md.research.elamur.ai/free/en/venues/ieee-automatic-speech-recognition-and-understanding-workshop-asru/): [ASRU 2021](https://md.research.elamur.ai/free/en/venues/ieee-automatic-speech-recognition-and-understanding-workshop-asru/2021/) - [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/): [Interspeech 2020](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/) - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/) - Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026) ## 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 →](https://md.research.elamur.ai/free/en/authors/bi-cheng-yan/cited-by/). Updated 24 October 2026