--- title: "Fanqing Meng — author profile and papers · Reasoning" description: "Fanqing Meng, Beijing Institute of Technology: 2 papers on Elamur Research (2025), h-index 4 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/fanqing-meng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fanqing-meng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Fanqing Meng # Fanqing Meng Fanqing Meng has 2 papers in our library, in 2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Botian Shi](https://md.research.elamur.ai/free/en/authors/botian-shi/), [Daocheng Fu](https://md.research.elamur.ai/free/en/authors/daocheng-fu/), [Enzhe Lu](https://md.research.elamur.ai/free/en/authors/enzhe-lu/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5104225369) · [ORCID](https://orcid.org/0009-0009-9350-1843) · [**h-index 4**](https://openalex.org/authors/A5104225369) · [18 works](https://openalex.org/works?filter=author.id:A5104225369) · [166 citations](https://openalex.org/works?filter=author.id:A5104225369&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/fanqing-meng/#papers) · [🔗 Cited 161 times in our library](https://md.research.elamur.ai/free/en/authors/fanqing-meng/cited-by/) · [⭐ Paper Stars ranking: #8406](https://md.research.elamur.ai/free/en/paper-stars/page/85/#star-8406) 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=Fanqing+Meng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fanqing+Meng) · [dblp](https://dblp.org/search?q=Fanqing+Meng) · [ACL Anthology](https://aclanthology.org/search/?q=Fanqing+Meng) ## Affiliations [🎓**Beijing Institute of Technology** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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).[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/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/fanqing-meng/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Kimi Linear: An Expressive, Efficient Attention Architecture](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-linear-expressive-efficient/)** *(2025 · 51 citations)* Softmax attention becomes a bottleneck for agentic and RL-heavy LLM workloads. Its cost grows quadratically with sequence length, and its KV cache keeps expanding during long decoding. Earlier linear-attention and hybrid designs saved compute but usually lost quality or were only tested at small scale. The Kimi Team… 2. **[MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/meng-2025-mm-eureka-exploring-frontiers-multimodal/)** *(2025 · 49 citations)* Rule-based reinforcement learning in the style of DeepSeek-R1 has greatly improved text-only reasoning. Earlier attempts to bring it to vision-language models used small models and easy tasks, and their training often became unstable. The authors address this with two contributions. The first is MMK12, a multimodal… ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Botian Shi](https://md.research.elamur.ai/free/en/authors/botian-shi/) - [Daocheng Fu](https://md.research.elamur.ai/free/en/authors/daocheng-fu/) - [Enzhe Lu](https://md.research.elamur.ai/free/en/authors/enzhe-lu/) - [Jiaxi Hu](https://md.research.elamur.ai/free/en/authors/jiaxi-hu/) - [Kaipeng Zhang](https://md.research.elamur.ai/free/en/authors/kaipeng-zhang/) - [Kimi Team](https://md.research.elamur.ai/free/en/authors/kimi-team/) - [Ping Luo](https://md.research.elamur.ai/free/en/authors/ping-luo/) - [Quanfeng Lu](https://md.research.elamur.ai/free/en/authors/quanfeng-lu/) - [Songlin Yang](https://md.research.elamur.ai/free/en/authors/songlin-yang/) - [Wenhai Wang](https://md.research.elamur.ai/free/en/authors/wenhai-wang/) - [Xin Men](https://md.research.elamur.ai/free/en/authors/xin-men/) - [Xingcheng Yao](https://md.research.elamur.ai/free/en/authors/xingcheng-yao/) ## Cited by Papers of our library cite their works 161 times (of the 149,439 papers whose bibliographies we read); [44 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fanqing-meng/cited-by/). Updated 3 November 2026