--- title: "Jincheng Yu — author profile and papers — Elamur Research" description: "Jincheng Yu: 2 papers on Elamur Research (2023) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jincheng-yu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jincheng-yu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jincheng Yu # Jincheng Yu Jincheng Yu has 2 papers in our library, in 2023, 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [James Tin-Yau Kwok](https://md.research.elamur.ai/free/en/authors/james-tin-yau-kwok/), [Zhenguo Li](https://md.research.elamur.ai/free/en/authors/zhenguo-li/), [Enze Xie](https://md.research.elamur.ai/free/en/authors/enze-xie/). 2 papers in our library · 2023 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jincheng-yu/#papers) · [🔗 Cited 617 times in our library](https://md.research.elamur.ai/free/en/authors/jincheng-yu/cited-by/) · [⭐ Paper Stars ranking: #3626](https://md.research.elamur.ai/free/en/paper-stars/page/37/#star-3626) 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=Jincheng+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jincheng+Yu) · [dblp](https://dblp.org/search?q=Jincheng+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Jincheng+Yu) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-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 [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/jincheng-yu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models](https://md.research.elamur.ai/free/en/papers/yu-2023-metamath-bootstrap-your-own-mathematical/)** *(2023 · 565 citations)* Open-source LLMs such as LLaMA-2 lag well behind closed models on multi-step maths word problems. Fine-tuning helps, but it depends on having enough varied training questions. MetaMath addresses this by growing the GSM8K and MATH training sets from the question side as well as the answer side, producing a dataset… 2. **[PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis](https://md.research.elamur.ai/free/en/papers/chen-2023-pixart-alpha-fast-training-diffusion/)** *(2023 · 87 citations)* Training state-of-the-art text-to-image (T2I) diffusion models takes thousands of GPU days and hundreds of thousands of dollars. ## Co-authors here 9 co-authors with a page, the most papers together first. - [James Tin-Yau Kwok](https://md.research.elamur.ai/free/en/authors/james-tin-yau-kwok/) ×2 - [Zhenguo Li](https://md.research.elamur.ai/free/en/authors/zhenguo-li/) ×2 - [Enze Xie](https://md.research.elamur.ai/free/en/authors/enze-xie/) - [Han Shi](https://md.research.elamur.ai/free/en/authors/han-shi/) - [Lewei Yao](https://md.research.elamur.ai/free/en/authors/lewei-yao/) - [Ping Luo](https://md.research.elamur.ai/free/en/authors/ping-luo/) - [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/) - [Yue Wu](https://md.research.elamur.ai/free/en/authors/yue-wu/) - [Zhengying Liu](https://md.research.elamur.ai/free/en/authors/zhengying-liu/) ## Cited by Papers of our library cite their works 617 times (of the 149,439 papers whose bibliographies we read); [185 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jincheng-yu/cited-by/). Updated 2 November 2026