--- title: "Mengzhao Chen — author profile and papers in our library" description: "Mengzhao Chen, Zhejiang University: 2 papers on Elamur Research (2023–2025), h-index 11 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/mengzhao-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mengzhao-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mengzhao Chen # Mengzhao Chen Mengzhao Chen has 2 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Kaipeng Zhang](https://md.research.elamur.ai/free/en/authors/kaipeng-zhang/), [Peng Gao](https://md.research.elamur.ai/free/en/authors/peng-gao/), [Peng Xu](https://md.research.elamur.ai/free/en/authors/peng-xu/). 2 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5073044954) · [**h-index 11**](https://openalex.org/authors/A5073044954) · [24 works](https://openalex.org/works?filter=author.id:A5073044954) · [356 citations](https://openalex.org/works?filter=author.id:A5073044954&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/mengzhao-chen/#papers) · [🔗 Cited 225 times in our library](https://md.research.elamur.ai/free/en/authors/mengzhao-chen/cited-by/) · [⭐ Paper Stars ranking: #4312](https://md.research.elamur.ai/free/en/paper-stars/page/44/#star-4312) 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=Mengzhao+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mengzhao+Chen) · [dblp](https://dblp.org/search?q=Mengzhao+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Mengzhao+Chen) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2023–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2023–2025 · 4 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**Xiamen University** Xiamen · China 2022–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/xiamen-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 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 2 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper Mengzhao Chen's papers of 2025](https://md.research.elamur.ai/free/en/papers/chen-2025-efficientqat-efficient-quantization-aware-training/) · [**2023** 1 paper Mengzhao Chen's papers of 2023](https://md.research.elamur.ai/free/en/papers/shao-2023-omniquant-omnidirectionally-calibrated-quantization-large/) ## Papers The most cited first (OpenAlex and our library). 1. **[OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models](https://md.research.elamur.ai/free/en/papers/shao-2023-omniquant-omnidirectionally-calibrated-quantization-large/)** *(2023 · 193 citations)* Compressing large language models to very low bit-widths usually forces a trade-off. Post-training quantization (PTQ) is cheap, but it relies on hand-tuned parameters and degrades badly at settings such as W2A16 or W4A4. Quantization-aware training (QAT) keeps accuracy but needs heavy compute and data. OmniQuant aims… 2. **[EfficientQAT: Efficient Quantization-Aware Training for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-efficientqat-efficient-quantization-aware-training/)** *(2025 · 82 citations)* Quantization-aware training (QAT) can compress large language models to very low bit-widths with little accuracy loss. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Kaipeng Zhang](https://md.research.elamur.ai/free/en/authors/kaipeng-zhang/) ×2 - [Peng Gao](https://md.research.elamur.ai/free/en/authors/peng-gao/) ×2 - [Peng Xu](https://md.research.elamur.ai/free/en/authors/peng-xu/) ×2 - [Ping Luo](https://md.research.elamur.ai/free/en/authors/ping-luo/) ×2 - [Wenqi Shao](https://md.research.elamur.ai/free/en/authors/wenqi-shao/) ×2 - [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/) ## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 225 times (of the 141,840 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mengzhao-chen/cited-by/). Updated 24 October 2026