--- title: "Zhenni Bi · Huawei Technologies — author profile and papers" description: "Zhenni Bi, Huawei Technologies: 2 papers on Elamur Research (2024–2025), h-index 2 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/zhenni-bi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhenni-bi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhenni Bi # Zhenni Bi Zhenni Bi has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Kai Han](https://md.research.elamur.ai/free/en/authors/kai-han/), [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/), [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5033574239) · [**h-index 2**](https://openalex.org/authors/A5033574239) · [7 works](https://openalex.org/works?filter=author.id:A5033574239) · [30 citations](https://openalex.org/works?filter=author.id:A5033574239&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhenni-bi/#papers) · [🔗 Cited 55 times in our library](https://md.research.elamur.ai/free/en/authors/zhenni-bi/cited-by/) · [⭐ Paper Stars ranking: #7665](https://md.research.elamur.ai/free/en/paper-stars/page/77/#star-7665) 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=Zhenni+Bi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhenni+Bi) · [dblp](https://dblp.org/search?q=Zhenni+Bi) · [ACL Anthology](https://aclanthology.org/search/?q=Zhenni+Bi) ## Affiliations [🏢**Huawei Technologies** Shenzhen · China 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhenni-bi/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zhenni-bi/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning](https://md.research.elamur.ai/free/en/papers/bi-2024-forest-thought-scaling-test-time/)** *(2024 · 43 citations)* Prompting schemes such as Chain-of-Thought and Tree-of-Thought usually follow one reasoning attempt to its end. 2. **[Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition](https://md.research.elamur.ai/free/en/papers/chen-2025-pangu-embedded-efficient-dual/)** *(2025 · 13 citations)* Reasoning-focused LLMs such as DeepSeek-R1 are expensive to deploy because they are very large and generate long chains of thought, sometimes tens of thousands of tokens per problem. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Kai Han](https://md.research.elamur.ai/free/en/authors/kai-han/) ×2 - [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/) - [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/) - [Fei Mi](https://md.research.elamur.ai/free/en/authors/fei-mi/) - [Hanting Chen](https://md.research.elamur.ai/free/en/authors/hanting-chen/) - [Haoyu Wang](https://md.research.elamur.ai/free/en/authors/haoyu-wang/) - [Jinpeng Li](https://md.research.elamur.ai/free/en/authors/jinpeng-li/) - [Kaikai Song](https://md.research.elamur.ai/free/en/authors/kaikai-song/) - [Lin Li](https://md.research.elamur.ai/free/en/authors/lin-li/) - [Yasheng Wang](https://md.research.elamur.ai/free/en/authors/yasheng-wang/) - [Yehui Tang](https://md.research.elamur.ai/free/en/authors/yehui-tang/) - [Yunhe Wang](https://md.research.elamur.ai/free/en/authors/yunhe-wang/) ## Cited by Papers of our library cite their works 55 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhenni-bi/cited-by/). Updated 30 October 2026