--- title: "Sheng Guo — author profile and papers — Elamur Research" description: "Sheng Guo, Ant Group: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/sheng-guo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sheng-guo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sheng Guo # Sheng Guo Sheng Guo has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/), [Haobo Wang](https://md.research.elamur.ai/free/en/authors/haobo-wang/), [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139727007) · [**h-index 1**](https://openalex.org/authors/A5139727007) · [5 works](https://openalex.org/works?filter=author.id:A5139727007) · [1 citations](https://openalex.org/works?filter=author.id:A5139727007&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sheng-guo/#papers) · [⭐ Paper Stars ranking: #13902](https://md.research.elamur.ai/free/en/paper-stars/page/140/#star-13902) 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=Sheng+Guo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sheng+Guo) · [dblp](https://dblp.org/search?q=Sheng+Guo) · [ACL Anthology](https://aclanthology.org/search/?q=Sheng+Guo) ## Affiliations [🏢**Ant Group** Hangzhou · China 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Zhejiang University** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/sheng-guo/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document Analysis](https://md.research.elamur.ai/free/en/papers/yang-2026-finmragbench-realistic-complex-benchmark-multi/)** *(2026)* Financial analysts often need evidence that is spread across several filings, non-adjacent pages, and different formats such as prose, tables, and charts. 2. **[MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification](https://md.research.elamur.ai/free/en/papers/zheng-2026-masktab-scalable-masked-tabular-pretraining/)** *(2026)* Industrial tables used in finance and similar high-stakes domains are wide, sparse, and mostly unlabeled. Their missing values often carry meaning, yet standard pipelines built around GBDTs such as XGBoost usually drop or impute them. The authors propose MaskTab, a self-supervised pretraining framework for this kind… ## Co-authors here 5 co-authors with a page, the most papers together first. - [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/) ×2 - [Haobo Wang](https://md.research.elamur.ai/free/en/authors/haobo-wang/) - [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) - [Yang Yang](https://md.research.elamur.ai/free/en/authors/yang-yang/) - [Yuhang Yang](https://md.research.elamur.ai/free/en/authors/yuhang-yang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 Updated 2 November 2026