--- title: "Jingyuan Huang — author profile and papers in our library" description: "Jingyuan Huang, Zhejiang University: 4 papers on Elamur Research (2024–2026), h-index 6 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/jingyuan-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jingyuan-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jingyuan Huang # Jingyuan Huang Jingyuan Huang has 4 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Grammatical error correction & learner language](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/); often with [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/), [Haiyan Zhao](https://md.research.elamur.ai/free/en/authors/haiyan-zhao/), [Jen-tse Huang](https://md.research.elamur.ai/free/en/authors/jen-tse-huang/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5102864184) · [ORCID](https://orcid.org/0009-0004-5864-9459) · [**h-index 6**](https://openalex.org/authors/A5102864184) · [19 works](https://openalex.org/works?filter=author.id:A5102864184) · [139 citations](https://openalex.org/works?filter=author.id:A5102864184&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/jingyuan-huang/#papers) · [🔗 Cited 103 times in our library](https://md.research.elamur.ai/free/en/authors/jingyuan-huang/cited-by/) · [⭐ Paper Stars ranking: #7366](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7366) 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=Jingyuan+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jingyuan+Huang) · [dblp](https://dblp.org/search?q=Jingyuan+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Jingyuan+Huang) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2022–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Rutgers, The State University of New Jersey** New Brunswick · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/rutgers-the-state-university-of-new-jersey/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Grammatical error correction & learner language · 1 work](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jingyuan-huang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jingyuan-huang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jingyuan-huang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-not-all-countries-celebrate-thanksgiving/)** *(2024 · 96 citations)* The paper examines whether large language models, trained mostly on English text, push English-speaking (largely American) culture onto users who ask questions in other languages. 2. **[Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?](https://md.research.elamur.ai/free/en/papers/jin-2025-exploring-concept-depth-how-large/)** *(2025 · 36 citations)* The paper asks where inside a large language model knowledge of different difficulty becomes linearly readable. 3. **[H-Mem: Hybrid Multi-Dimensional Memory Management for Long-Context Conversational Agents](https://md.research.elamur.ai/free/en/papers/ye-2026-h-mem-hybrid-multi-dimensional/)** *(2026 · 1 citation)* Conversational agents that run over long, multi-session dialogues need memory they can query reliably. Most existing memory systems index information along one axis only, usually semantic similarity and occasionally recency, so retrieval often misses evidence that depends on both when and what . H-Mem addresses this… 4. **[BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation](https://md.research.elamur.ai/free/en/papers/wang-2026-bridge-gap-mitigating-bias-amplification/)** *(2026)* Automated scorers for student answers, built on deep models and LLMs, can widen score gaps between student groups beyond the gaps in the human labels they learn from. ## Co-authors here 12 of 23 co-authors with a page, the most papers together first. - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) - [Haiyan Zhao](https://md.research.elamur.ai/free/en/authors/haiyan-zhao/) - [Jen-tse Huang](https://md.research.elamur.ai/free/en/authors/jen-tse-huang/) - [Kai Mei](https://md.research.elamur.ai/free/en/authors/kai-mei/) - [Kaize Ding](https://md.research.elamur.ai/free/en/authors/kaize-ding/) - [Lei Liu](https://md.research.elamur.ai/free/en/authors/lei-liu/) - [Mengnan Du](https://md.research.elamur.ai/free/en/authors/mengnan-du/) - [Michael R. Lyu](https://md.research.elamur.ai/free/en/authors/michael-r-lyu/) - [Mingyu Jin](https://md.research.elamur.ai/free/en/authors/mingyu-jin/) - [Ninghao Liu](https://md.research.elamur.ai/free/en/authors/ninghao-liu/) - [Qingcheng Zeng](https://md.research.elamur.ai/free/en/authors/qingcheng-zeng/) - [Qinkai Yu](https://md.research.elamur.ai/free/en/authors/qinkai-yu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) ## Cited by Papers of our library cite their works 103 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingyuan-huang/cited-by/). Updated 31 October 2026