--- title: "Xiao Chen — author profile and papers — Elamur Research" description: "Xiao Chen: 2 papers on Elamur Research (2020) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xiao-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiao-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiao Chen # Xiao Chen Xiao Chen has 2 papers in our library, in 2020, 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/), [Xin Jiang](https://md.research.elamur.ai/free/en/authors/xin-jiang/). 2 papers in our library · 2020 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiao-chen/#papers) · [🔗 Cited 714 times in our library](https://md.research.elamur.ai/free/en/authors/xiao-chen/cited-by/) · [⭐ Paper Stars ranking: #1209](https://md.research.elamur.ai/free/en/paper-stars/page/13/#star-1209) 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=Xiao+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiao+Chen) · [dblp](https://dblp.org/search?q=Xiao+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Xiao+Chen) ## 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).[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 · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Natural language understanding · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-understanding/) ## Works by year ### 2020s [**2020** 2 papers](https://md.research.elamur.ai/free/en/authors/xiao-chen/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[TinyBERT: Distilling BERT for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/jiao-2020-tinybert-distilling-bert-natural-language/)** *(2020 · 2,378 citations)* Large pre-trained language models such as BERT achieve very high performance. However, they have many parameters and slow inference, which makes them difficult to run on phones and other low-resource devices. The authors compress BERT with a knowledge distillation method designed specifically for the Transformer… 2. **[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… ## Co-authors here 8 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 - [Xin Jiang](https://md.research.elamur.ai/free/en/authors/xin-jiang/) ×2 - [Yichun Yin](https://md.research.elamur.ai/free/en/authors/yichun-yin/) ×2 - [Linlin Li](https://md.research.elamur.ai/free/en/authors/linlin-li/) - [Lu Hou](https://md.research.elamur.ai/free/en/authors/lu-hou/) - [Wei Zhang](https://md.research.elamur.ai/free/en/authors/wei-zhang/) - [Xiaoqi Jiao](https://md.research.elamur.ai/free/en/authors/xiaoqi-jiao/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2020](https://md.research.elamur.ai/free/en/venues/findings/2020/) ## Cited by Papers of our library cite their works 714 times (of the 149,439 papers whose bibliographies we read); [75 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiao-chen/cited-by/). Updated 30 October 2026