--- title: "Weizhe Lin · Huawei Technologies — author profile and papers" description: "Weizhe Lin, Huawei Technologies: 2 papers on Elamur Research (2026), h-index 11 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/weizhe-lin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/weizhe-lin/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Weizhe Lin # Weizhe Lin Weizhe Lin 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Bill Byrne](https://md.research.elamur.ai/free/en/authors/bill-byrne/), [Hui-Ling Zhen](https://md.research.elamur.ai/free/en/authors/hui-ling-zhen/), [Mingxuan Yuan](https://md.research.elamur.ai/free/en/authors/mingxuan-yuan/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5051401703) · [ORCID](https://orcid.org/0000-0002-0754-4524) · [**h-index 11**](https://openalex.org/authors/A5051401703) · [50 works](https://openalex.org/works?filter=author.id:A5051401703) · [1,459 citations](https://openalex.org/works?filter=author.id:A5051401703&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/weizhe-lin/#papers) · [🔗 Cited 40 times in our library](https://md.research.elamur.ai/free/en/authors/weizhe-lin/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #13175](https://md.research.elamur.ai/free/en/paper-stars/page/132/#star-13175) 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=Weizhe+Lin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Weizhe+Lin) · [dblp](https://dblp.org/search?q=Weizhe+Lin) · [ACL Anthology](https://aclanthology.org/search/?q=Weizhe+Lin) ## Affiliations [🎓**University of Cambridge** Cambridge · United Kingdom 2019–2026 · 28 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🏢**Huawei Technologies** Shenzhen · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🏢**Apple** Cupertino · United States 2023 · 3 papers](https://md.research.elamur.ai/free/en/companies/apple/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/weizhe-lin/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats](https://md.research.elamur.ai/free/en/papers/zhao-2026-unleashing-low-bit-inference-ascend/)** *(2026 · 1 citation)* The paper asks whether Huawei's HiFloat number formats, built for Ascend NPUs, work well for post-training quantization (PTQ) of large language models. 2. **[Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-retrieval-augmented-defense-adaptive-controllable/)** *(2026)* Jailbreak attacks keep evolving. Defenders therefore need systems that can absorb new attack styles without retraining and that let operators decide how much benign traffic they are willing to refuse. The authors, from Cambridge, propose Retrieval-Augmented Defense (RAD), a training-free jailbreak detector built on… ## 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. **[Retrieval Augmented Visual Question Answering with Outside Knowledge ↗](https://aclanthology.org/2022.emnlp-main.772/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Weizhe Lin, Bill Byrne*2022 · 98 citations* 2. **[More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking ↗](https://aclanthology.org/2023.findings-eacl.106/) Findings of the Association for Computational Linguistics: EACL 2023 · no summary yet**Alexandru Coca et al.*2023 · 3 citations* 3. **[Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats](https://md.research.elamur.ai/free/en/papers/zhao-2026-unleashing-low-bit-inference-ascend/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengxiang Zhao, Hui-Ling Zhen, Xing Li, et al.*2026 · 1 citation* 4. **[Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-retrieval-augmented-defense-adaptive-controllable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangyu Yang, Jinghong Chen, Jingbiao Mei, et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Bill Byrne](https://md.research.elamur.ai/free/en/authors/bill-byrne/) - [Hui-Ling Zhen](https://md.research.elamur.ai/free/en/authors/hui-ling-zhen/) - [Mingxuan Yuan](https://md.research.elamur.ai/free/en/authors/mingxuan-yuan/) - [Pengxiang Zhao](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/) - [Xianzhi Yu](https://md.research.elamur.ai/free/en/authors/xianzhi-yu/) - [Xin Wang](https://md.research.elamur.ai/free/en/authors/xin-wang/) - [Xing Li](https://md.research.elamur.ai/free/en/authors/xing-li/) - [Zhenhua Dong](https://md.research.elamur.ai/free/en/authors/zhenhua-dong/) ## 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/) ×2 - Findings of the Association for Computational Linguistics: EACL 2023 - Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 40 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/weizhe-lin/cited-by/). Updated 2 November 2026