--- title: "Hui-Ling Zhen — author profile and papers — Elamur Research" description: "Hui-Ling Zhen, Huawei Technologies: 2 papers on Elamur Research (2026), h-index 2 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/hui-ling-zhen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hui-ling-zhen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hui-Ling Zhen # Hui-Ling Zhen Hui-Ling Zhen has 2 papers in our library, in 2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Mingxuan Yuan](https://md.research.elamur.ai/free/en/authors/mingxuan-yuan/), [Xianzhi Yu](https://md.research.elamur.ai/free/en/authors/xianzhi-yu/), [Pengxiang Zhao](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5108154818) · [**h-index 2**](https://openalex.org/authors/A5108154818) · [26 works](https://openalex.org/works?filter=author.id:A5108154818) · [32 citations](https://openalex.org/works?filter=author.id:A5108154818&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hui-ling-zhen/#papers) · 🔗 Cited 1 time in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11175](https://md.research.elamur.ai/free/en/paper-stars/page/112/#star-11175) 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=Hui-Ling+Zhen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hui-Ling+Zhen) · [dblp](https://dblp.org/search?q=Hui-Ling+Zhen) · [ACL Anthology](https://aclanthology.org/search/?q=Hui-Ling+Zhen) ## Affiliations [🏢**Huawei Technologies** Shenzhen · China 2023–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) 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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/hui-ling-zhen/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis](https://md.research.elamur.ai/free/en/papers/pei-2026-analytical-ffn-moe-restructuring-activation/)** *(2026 · 1 citation)* Most inference compute in large language models goes to the feed-forward (FFN) blocks. Converting a dense model into a Mixture-of-Experts (MoE) can cut that cost, but earlier conversion methods needed continual training on billions of tokens. Pei et al. instead restructure FFNs after training, in a single analytical… 2. **[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. ## All works 3 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. **[Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis](https://md.research.elamur.ai/free/en/papers/pei-2026-analytical-ffn-moe-restructuring-activation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zehua Pei, Hui-Ling Zhen, Lancheng Zou, et al.*2026 · 1 citation* 2. **[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* 3. **[Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats ↗](https://aclanthology.org/2026.acl-long.1854/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Manyi Zhang et al.*2026* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Mingxuan Yuan](https://md.research.elamur.ai/free/en/authors/mingxuan-yuan/) ×2 - [Xianzhi Yu](https://md.research.elamur.ai/free/en/authors/xianzhi-yu/) ×2 - [Pengxiang Zhao](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/) - [Sinno Jialin Pan](https://md.research.elamur.ai/free/en/authors/sinno-jialin-pan/) - [Xin Wang](https://md.research.elamur.ai/free/en/authors/xin-wang/) - [Xing Li](https://md.research.elamur.ai/free/en/authors/xing-li/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026