--- title: "Xianzhi Yu · Zhengzhou University — author profile and papers" description: "Xianzhi Yu, Zhengzhou University: 4 papers on Elamur Research (2025–2026), h-index 8 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xianzhi-yu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xianzhi-yu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xianzhi Yu # Xianzhi Yu Xianzhi Yu has 4 papers in our library, in 2025–2026, 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/), [Mingxuan Yuan](https://md.research.elamur.ai/free/en/authors/mingxuan-yuan/), [Zhenhua Dong](https://md.research.elamur.ai/free/en/authors/zhenhua-dong/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5102718069) · [ORCID](https://orcid.org/0000-0002-3414-9212) · [**h-index 8**](https://openalex.org/authors/A5102718069) · [77 works](https://openalex.org/works?filter=author.id:A5102718069) · [243 citations](https://openalex.org/works?filter=author.id:A5102718069&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xianzhi-yu/#papers) · [🔗 Cited 12 times in our library](https://md.research.elamur.ai/free/en/authors/xianzhi-yu/cited-by/) · [⭐ Paper Stars ranking: #11595](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11595) 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=Xianzhi+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xianzhi+Yu) · [dblp](https://dblp.org/search?q=Xianzhi+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Xianzhi+Yu) ## Affiliations [🎓**University of Chinese Academy of Sciences** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**Institute of High Energy Physics** Beijing · China 2024–2026 · 2 papers*current*](https://ror.org/03v8tnc06) · [🎓**Lanzhou University** Lanzhou · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/lanzhou-university/) · [🎓**Zhengzhou University** Zhengzhou · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/zhengzhou-university/) · [🎓**Tsinghua University** Beijing · China 2018–2025 · 8 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Shanxi University** Taiyuan · China 2009–2014 · 4 papers](https://md.research.elamur.ai/free/en/universities/shanxi-university/) · [🔬**State Key Laboratory of Quantum Optics and Quantum Optics Devices** Taiyuan 2009–2014 · 4 papers](https://ror.org/035z18f46) · [🎓**National University of Defense Technology** Changsha · China 2018–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) 🏛️**Institute of High Energy Physics, Chinese Academy of Sciences** Beijing · [China](https://md.research.elamur.ai/free/en/countries/china/) Employment 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 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Computational Theory and Mathematics · 2 works](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/) 🧭 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** 3 papers](https://md.research.elamur.ai/free/en/authors/xianzhi-yu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xianzhi-yu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity](https://md.research.elamur.ai/free/en/papers/tang-2025-pangu-pro-moe-mixture/)** *(2025 · 4 citations)* Sparse Mixture-of-Experts LLMs are cheap per token. However, when experts are spread across accelerators, uneven routing overloads some devices, and the slowest device limits overall speed. The Pangu Team at Huawei proposes Mixture of Grouped Experts (MoGE). Experts are split into equal, non-overlapping groups… 2. **[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… 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/)** *(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. 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/)** *(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… ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Hui-Ling Zhen](https://md.research.elamur.ai/free/en/authors/hui-ling-zhen/) ×3 - [Mingxuan Yuan](https://md.research.elamur.ai/free/en/authors/mingxuan-yuan/) ×2 - [Zhenhua Dong](https://md.research.elamur.ai/free/en/authors/zhenhua-dong/) ×2 - [Bei Yu](https://md.research.elamur.ai/free/en/authors/bei-yu/) - [Fangcheng Liu](https://md.research.elamur.ai/free/en/authors/fangcheng-liu/) - [Fei Mi](https://md.research.elamur.ai/free/en/authors/fei-mi/) - [Hang Zhou](https://md.research.elamur.ai/free/en/authors/hang-zhou/) - [Haoli Bai](https://md.research.elamur.ai/free/en/authors/haoli-bai/) - [Jinpeng Li](https://md.research.elamur.ai/free/en/authors/jinpeng-li/) - [Kai Han](https://md.research.elamur.ai/free/en/authors/kai-han/) - [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/) ## 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/) ×3 ## Cited by Papers of our library cite their works 12 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xianzhi-yu/cited-by/). Updated 2 November 2026