--- title: "Zhenhua Dong — author profile and papers — Elamur Research" description: "Zhenhua Dong, Huawei Technologies: 2 papers on Elamur Research (2026), h-index 30 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/zhenhua-dong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhenhua-dong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhenhua Dong # Zhenhua Dong Zhenhua Dong 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 [Hui-Ling Zhen](https://md.research.elamur.ai/free/en/authors/hui-ling-zhen/), [Xianzhi Yu](https://md.research.elamur.ai/free/en/authors/xianzhi-yu/), [Haoli Bai](https://md.research.elamur.ai/free/en/authors/haoli-bai/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5021124418) · [ORCID](https://orcid.org/0000-0002-2231-4663) · [Wikidata](https://www.wikidata.org/wiki/Q130820283) · [**h-index 30**](https://openalex.org/authors/A5021124418) · [199 works](https://openalex.org/works?filter=author.id:A5021124418) · [3,766 citations](https://openalex.org/works?filter=author.id:A5021124418&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhenhua-dong/#papers) · 🔗 Cited 21 times in our library · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #13243](https://md.research.elamur.ai/free/en/paper-stars/page/133/#star-13243) 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=Zhenhua+Dong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhenhua+Dong) · [dblp](https://dblp.org/search?q=Zhenhua+Dong) · [ACL Anthology](https://aclanthology.org/search/?q=Zhenhua+Dong) ## Affiliations [🏢**Huawei Technologies** Shenzhen · China 2016–2026 · 125 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Hong Kong Polytechnic University** Hong Kong · China 2012–2017 · 19 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**Nankai University** Tianjin · China 2008–2012 · 6 papers](https://md.research.elamur.ai/free/en/universities/nankai-university/) · [🏥**First Hospital of Jilin University** Changchun · China 2024–2025 · 5 papers](https://ror.org/034haf133) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2017–2018 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Shandong First Medical University** Jinan · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/shandong-first-medical-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 · 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 2 works](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 1 Research subjects and languages the work is about.[Efficient models & compression · 2 works](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/zhenhua-dong/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. **[Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats](https://md.research.elamur.ai/free/en/papers/zhang-2026-benchmarking-post-training-quantization-large/)** *(2026)* Most post-training quantization (PTQ) methods for LLMs were built for integer formats. It is unclear how they behave under Microscaling Floating-Point (MXFP), a block-scaled format with growing hardware support. The authors benchmark PTQ under MXFP8 and MXFP4, simulated with Microsoft's microxcaling library. They… ## 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. **[A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data ↗](https://doi.org/10.1145/3397271.3401083) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Dugang Liu et al.*2020 · 194 citations* 2. **[MINER: Multi-Interest Matching Network for News Recommendation ↗](https://aclanthology.org/2022.findings-acl.29/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Jian Li et al.*2022 · 82 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. **[Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats](https://md.research.elamur.ai/free/en/papers/zhang-2026-benchmarking-post-training-quantization-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Manyi Zhang, Ji-Fu Li, Zhongao Sun, et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Hui-Ling Zhen](https://md.research.elamur.ai/free/en/authors/hui-ling-zhen/) ×2 - [Xianzhi Yu](https://md.research.elamur.ai/free/en/authors/xianzhi-yu/) ×2 - [Haoli Bai](https://md.research.elamur.ai/free/en/authors/haoli-bai/) - [Mingxuan Yuan](https://md.research.elamur.ai/free/en/authors/mingxuan-yuan/) - [Pengxiang Zhao](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/) - [Weizhe Lin](https://md.research.elamur.ai/free/en/authors/weizhe-lin/) - [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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - Findings of the Association for Computational Linguistics: ACL 2022 - International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ## Cited by Papers of our library cite their works 21 times (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026