--- title: "Jingyu Wang — author profile and papers — Elamur Research" description: "Jingyu Wang, Zhejiang A & F University: 2 papers on Elamur Research (2026), h-index 42 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/jingyu-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jingyu-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jingyu Wang # Jingyu Wang Jingyu Wang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Haifeng Sun](https://md.research.elamur.ai/free/en/authors/haifeng-sun/), [Jianxin Liao](https://md.research.elamur.ai/free/en/authors/jianxin-liao/), [Cong Liu](https://md.research.elamur.ai/free/en/authors/cong-liu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5100432460) · [ORCID](https://orcid.org/0000-0002-2182-2228) · [Wikidata](https://www.wikidata.org/wiki/Q130800128) · [**h-index 42**](https://openalex.org/authors/A5100432460) · [674 works](https://openalex.org/works?filter=author.id:A5100432460) · [7,618 citations](https://openalex.org/works?filter=author.id:A5100432460&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jingyu-wang/#papers) · [🔗 Cited 64 times in our library](https://md.research.elamur.ai/free/en/authors/jingyu-wang/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11559](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11559) 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=Jingyu+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jingyu+Wang) · [dblp](https://dblp.org/search?q=Jingyu+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Jingyu+Wang) ## Affiliations [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2007–2026 · 347 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🔬**State Key Laboratory of Networking and Switching Technology** Beijing · China 2007–2026 · 278 papers*current*](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-networking-and-switching-technology/) · [🎓**University of Oxford** Oxford · United Kingdom 2019–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🎓**Central South University** Changsha · China 2007–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/central-south-university/) · [🎓**Civil Aviation University of China** Tianjin · China 2024–2026 · 3 papers*current*](https://ror.org/03je71k37) · [🎓**Zhejiang A & F University** Lin’an Shi · China 2022–2026 · 3 papers*current*](https://ror.org/02vj4rn06) · [🎓**Qingdao University of Science and Technology** Qingdao · China 2026 · 2 papers*current*](https://ror.org/041j8js14) · [🏛️**Ministry of Education of the People's Republic of China** Beijing · China 2026 · 1 paper*current*](https://ror.org/01mv9t934) · [🎓**Tsinghua University** Beijing · China 2013–2025 · 21 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Inner Mongolia University of Science and Technology** Baotou · China 2010–2025 · 20 papers](https://ror.org/044rgx723) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 99 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 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/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jingyu-wang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-erasing-without-remembering-implicit-knowledge/)** *(2026 · 1 citation)* The paper tackles a weakness in LLM machine unlearning: current techniques tend to suppress only the literal wording of the data to be forgotten. 2. **[ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/liu-2026-modularmoe-fast-llm-customization-parameter/)** *(2026)* Running large language models on modest hardware is costly. Current customization routes either compress and fine-tune separately for every target task, which is expensive, or tune once on general data, which tends to hurt task-level quality through interference and forgetting. ModularMoE addresses this by turning an… ## All works 5 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. **[Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis ↗](https://aclanthology.org/2020.acl-main.370/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Chunning Du et al.*2020 · 203 citations* 2. **[Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification ↗](https://aclanthology.org/D19-1551/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Chunning Du et al.*2019 · 94 citations* 3. **[Question-Driven Span Labeling Model for Aspect–Opinion Pair Extraction ↗](https://doi.org/10.1609/aaai.v35i14.17523) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Lei Gao et al.*2021 · 80 citations* 4. **[Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-erasing-without-remembering-implicit-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huazheng Wang, Yongcheng Jing, Haifeng Sun, et al.*2026 · 1 citation* 5. **[ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/liu-2026-modularmoe-fast-llm-customization-parameter/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaxing Liu, Qi Qi, Haifeng Sun, et al.*2026* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Haifeng Sun](https://md.research.elamur.ai/free/en/authors/haifeng-sun/) ×2 - [Jianxin Liao](https://md.research.elamur.ai/free/en/authors/jianxin-liao/) ×2 - [Cong Liu](https://md.research.elamur.ai/free/en/authors/cong-liu/) - [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/) - [Huazheng Wang](https://md.research.elamur.ai/free/en/authors/huazheng-wang/) - [Jiaxing Liu](https://md.research.elamur.ai/free/en/authors/jiaxing-liu/) - [Qi Qi](https://md.research.elamur.ai/free/en/authors/qi-qi/) - [Yingjie Wang](https://md.research.elamur.ai/free/en/authors/yingjie-wang/) - [Yongcheng Jing](https://md.research.elamur.ai/free/en/authors/yongcheng-jing/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) - Proceedings of the AAAI Conference on Artificial Intelligence ## Cited by Papers of our library cite their works 64 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingyu-wang/cited-by/). Updated 1 November 2026