--- title: "Lu Hou · Huawei Technologies — author profile and papers" description: "Lu Hou, Huawei Technologies: 2 papers on Elamur Research (2020–2021), h-index 11 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/lu-hou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lu-hou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lu Hou # Lu Hou Lu Hou has 2 papers in our library, in 2020–2021, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Lifeng Shang](https://md.research.elamur.ai/free/en/authors/lifeng-shang/), [Qun Liu](https://md.research.elamur.ai/free/en/authors/qun-liu/), [Wei Zhang](https://md.research.elamur.ai/free/en/authors/wei-zhang/). 2 papers in our library · 2020–2021 [OpenAlex](https://openalex.org/A5101663633) · [ORCID](https://orcid.org/0000-0002-4694-1821) · [Wikidata](https://www.wikidata.org/wiki/Q131013880) · [**h-index 11**](https://openalex.org/authors/A5101663633) · [28 works](https://openalex.org/works?filter=author.id:A5101663633) · [535 citations](https://openalex.org/works?filter=author.id:A5101663633&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lu-hou/#papers) · [🔗 Cited 139 times in our library](https://md.research.elamur.ai/free/en/authors/lu-hou/cited-by/) · [⭐ Paper Stars ranking: #3838](https://md.research.elamur.ai/free/en/paper-stars/page/39/#star-3838) 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=Lu+Hou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lu+Hou) · [dblp](https://dblp.org/search?q=Lu+Hou) · [ACL Anthology](https://aclanthology.org/search/?q=Lu+Hou) ## Affiliations [🏢**Huawei Technologies** Shenzhen · China 2019–2026 · 48 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · Hong Kong 2016–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**University of Hong Kong** Pok Fu Lam · Hong Kong 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/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. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](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 [**2021** 1 paper BinaryBERT: Pushing the Limit of BERT Quantization](https://md.research.elamur.ai/free/en/papers/bai-2021-binarybert-pushing-limit-bert-quantization/) · [**2020** 1 paper TernaryBERT: Distillation-aware Ultra-low Bit BERT](https://md.research.elamur.ai/free/en/papers/zhang-2020-ternarybert-distillation-aware-ultra-low/) ## Papers The most cited first (OpenAlex and our library). 1. **[TernaryBERT: Distillation-aware Ultra-low Bit BERT](https://md.research.elamur.ai/free/en/papers/zhang-2020-ternarybert-distillation-aware-ultra-low/)** *(2020 · 213 citations)* Fine-tuned BERT models are large: BERT-base has 109M parameters, over 400 MB in 32-bit floats. This makes them hard to run on phones and other constrained hardware. Earlier quantization work kept accuracy at 8 bits. Going lower usually needed mixed precision, which some hardware handles poorly, or product… 2. **[BinaryBERT: Pushing the Limit of BERT Quantization](https://md.research.elamur.ai/free/en/papers/bai-2021-binarybert-pushing-limit-bert-quantization/)** *(2021 · 165 citations)* Large pre-trained language models are hard to run on edge devices, and quantization shrinks them without redesigning the architecture. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Lifeng Shang](https://md.research.elamur.ai/free/en/authors/lifeng-shang/) ×2 - [Qun Liu](https://md.research.elamur.ai/free/en/authors/qun-liu/) ×2 - [Wei Zhang](https://md.research.elamur.ai/free/en/authors/wei-zhang/) ×2 - [Xin Jiang](https://md.research.elamur.ai/free/en/authors/xin-jiang/) ×2 - [Michael R. Lyu](https://md.research.elamur.ai/free/en/authors/michael-r-lyu/) ## 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 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/) ## Cited by Papers of our library cite their works 139 times (of the 141,840 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lu-hou/cited-by/). Updated 24 October 2026