--- title: "Jiaqi Guo — author profile and papers — Elamur Research" description: "Jiaqi Guo, University of Science and Technology of China: 2 papers on Elamur Research (2021), h-index 24 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/jiaqi-guo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiaqi-guo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiaqi Guo # Jiaqi Guo Jiaqi Guo has 2 papers in our library, in 2021, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/); often with [Jian-Guang Lou](https://md.research.elamur.ai/free/en/authors/jian-guang-lou/), [Bei Chen](https://md.research.elamur.ai/free/en/authors/bei-chen/), [Dongmei Zhang](https://md.research.elamur.ai/free/en/authors/dongmei-zhang/). 2 papers in our library · 2021 [OpenAlex](https://openalex.org/A5032965724) · [ORCID](https://orcid.org/0000-0001-6340-3331) · [**h-index 24**](https://openalex.org/authors/A5032965724) · [56 works](https://openalex.org/works?filter=author.id:A5032965724) · [3,258 citations](https://openalex.org/works?filter=author.id:A5032965724&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiaqi-guo/#papers) · [🔗 Cited 416 times in our library](https://md.research.elamur.ai/free/en/authors/jiaqi-guo/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5086](https://md.research.elamur.ai/free/en/paper-stars/page/51/#star-5086) 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=Jiaqi+Guo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiaqi+Guo) · [dblp](https://dblp.org/search?q=Jiaqi+Guo) · [ACL Anthology](https://aclanthology.org/search/?q=Jiaqi+Guo) ## Affiliations [🎓**Nankai University** Tianjin · China 2023–2025 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/nankai-university/) · [🎓**University of Science and Technology of China** Hefei · China 2023–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**China Jiliang University** Hangzhou · China 2025 · 1 paper*current*](https://ror.org/05v1y0t93) · [🏢**State Grid Corporation of China** Beijing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/state-grid-corporation-of-china/) · [🏢**State Grid Shanxi Electric Power Company** Taiyuan · China 2025 · 1 paper*current*](https://ror.org/02mb2dn67) · [🎓**Xi'an Jiaotong University** Xi'an · China 2016–2023 · 32 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🏢**Microsoft Research Asia** Beijing · China 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 6 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/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 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/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) ## Works by year ### 2020s [**2021** 2 papers](https://md.research.elamur.ai/free/en/authors/jiaqi-guo/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[TAPEX: Table Pre-training via Learning a Neural SQL Executor](https://md.research.elamur.ai/free/en/papers/liu-2021-tapex-table-pre-training-learning/)** *(2021 · 255 citations)* Pre-training language models on tables is hard because large, clean table corpora are scarce. Web-crawled table–text pairs are noisy, and template-based synthesis is costly and repetitive. TAPEX avoids this problem by training a model to act like a SQL engine. The authors automatically sample executable SQL queries… 2. **[HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation](https://md.research.elamur.ai/free/en/papers/cheng-2021-hitab-hierarchical-table-dataset-question/)** *(2021 · 108 citations)* Most table reasoning research assumes flat tables. Real statistical and scientific tables, however, often have multi-level headers, unmarked totals and proportions, and implicit links between entities. HiTab is a cross-domain English benchmark built to test question answering (QA) and table-to-text generation (NLG)… ## All works 4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation ↗](https://aclanthology.org/P19-1444/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Jiaqi Guo et al.*2019 · 557 citations* 2. [**TAPEX: Table Pre-training via Learning a Neural SQL Executor arXiv:2107.07653**Qian Liu, Bei Chen, Jiaqi Guo, et al.*2021 · 255 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-tapex-table-pre-training-learning/) 3. [**HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation arXiv:2108.06712**Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, et al.*2021 · 108 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2021-hitab-hierarchical-table-dataset-question/) 4. **[HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation ↗](https://aclanthology.org/2022.acl-long.78/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhoujun Cheng et al.*2022 · 61 citations* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Jian-Guang Lou](https://md.research.elamur.ai/free/en/authors/jian-guang-lou/) ×2 - [Bei Chen](https://md.research.elamur.ai/free/en/authors/bei-chen/) - [Dongmei Zhang](https://md.research.elamur.ai/free/en/authors/dongmei-zhang/) - [Haoyu Dong](https://md.research.elamur.ai/free/en/authors/haoyu-dong/) - [Qian Liu](https://md.research.elamur.ai/free/en/authors/qian-liu/) - [Ran Jia](https://md.research.elamur.ai/free/en/authors/ran-jia/) - [Shi Han](https://md.research.elamur.ai/free/en/authors/shi-han/) - [Weizhu Chen](https://md.research.elamur.ai/free/en/authors/weizhu-chen/) - [Yan Gao](https://md.research.elamur.ai/free/en/authors/yan-gao/) - [Zeqi Lin](https://md.research.elamur.ai/free/en/authors/zeqi-lin/) - [Zhiruo Wang](https://md.research.elamur.ai/free/en/authors/zhiruo-wang/) - [Zhoujun Cheng](https://md.research.elamur.ai/free/en/authors/zhoujun-cheng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2 ## Cited by Papers of our library cite their works 416 times (of the 149,439 papers whose bibliographies we read); [68 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiaqi-guo/cited-by/). Updated 2 November 2026