--- title: "Jian Yin — author profile and papers" description: "Jian Yin, Sun Yat-sen University: 2 papers on Elamur Research (2020–2022), h-index 33 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jian-yin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jian-yin/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jian Yin # Jian Yin Jian Yin's papers here, published between 2020 and 2022, apply pre-trained Transformer networks to two kinds of material: program source code and natural-language claims that need checking against evidence. A shared question runs through both. Each asks how explicit structure, whether the switching of a model between attention modes or the semantic relations that tie sentences together, can be built into a large pretrained model. The work falls under [language models and pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), and [code and programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/). The more widely cited of the two is [UniXcoder](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/) (2022). It starts from the observation that encoder-only, decoder-only and encoder-decoder code models each struggle with some class of task. It then trains a single multi-layer Transformer that moves among all three configurations, using mask attention matrices together with prefix adapters. One model can therefore handle both code understanding and generation, including completion run in decoder-only fashion. The earlier paper, [Reasoning Over Semantic-Level Graph for Fact Checking](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/) (2020), deals with claims whose supporting or refuting evidence is spread over several sentences. It parses that evidence with semantic role labeling into a graph of verbs, arguments, and time and place phrases. Overlapping phrases are linked across tuples, and the graph structure is fed into XLNet. Taken in order, the two papers show a shift from verifying text toward representing code. Yin's current institution is [Sun Yat-sen University](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) in Guangzhou, where bylines go back to 2005. [Microsoft Research Asia](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) in Beijing also appears on papers from 2020 to 2022. Frequent co-authors include [Ming Zhou](https://md.research.elamur.ai/free/en/authors/ming-zhou/) and [Nan Duan](https://md.research.elamur.ai/free/en/authors/nan-duan/), with two shared papers each, alongside Daya Guo, Wanjun Zhong, Duyu Tang, Jingjing Xu, Shuai Lu and Yanlin Wang. Jian Yin has 2 papers in our library, in 2020–2022, 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/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Ming Zhou](https://md.research.elamur.ai/free/en/authors/ming-zhou/), [Nan Duan](https://md.research.elamur.ai/free/en/authors/nan-duan/), [Daya Guo](https://md.research.elamur.ai/free/en/authors/daya-guo/). 2 papers in our library · 2020–2022 [OpenAlex](https://openalex.org/A5017205177) · [ORCID](https://orcid.org/0000-0002-1214-5384) · [Wikidata](https://www.wikidata.org/wiki/Q130878342) · [**h-index 33**](https://openalex.org/authors/A5017205177) · [271 works](https://openalex.org/works?filter=author.id:A5017205177) · [5,372 citations](https://openalex.org/works?filter=author.id:A5017205177&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jian-yin/#papers) · [🔗 475 citations in our library](https://md.research.elamur.ai/free/en/authors/jian-yin/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Star rank #2008](https://md.research.elamur.ai/free/en/paper-stars/page/21/#star-2008) 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=Jian+Yin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jian+Yin) · [dblp](https://dblp.org/search?q=Jian+Yin) · [ACL Anthology](https://aclanthology.org/search/?q=Jian+Yin) ## Affiliations [🎓**Sun Yat-sen University** Guangzhou · China 2005–2026 · 204 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**National University of Defense Technology** Changsha · China 2006–2013 · 5 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**Shandong University** Jinan · China 2006–2021 · 4 papers](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🎓**Anqing Normal University** Anking · China 2014–2017 · 4 papers](https://ror.org/0127ytz78) · [🔬**Institute of Geographic Sciences and Natural Resources Research** Beijing · China 2015–2017 · 4 papers](https://ror.org/04t1cdb72) · [🏛️**Chinese Academy of Sciences** Beijing · China 2008–2016 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Dalian Maritime University** Dalian · China 2025 · 2 papers](https://ror.org/002b7nr53) · [🏢**Microsoft Research Asia** Beijing · China 2020–2022 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🎓**Beijing Normal University** Beijing · China 2011–2014 · 2 papers](https://md.research.elamur.ai/free/en/universities/beijing-normal-university/) · [🎓**Nanjing University** Nanjing · China 2003–2005 · 2 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 more institutions on single bylines are not listed. ## Topics [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Code & programming languages (1)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) ## Works by year ### 2020s [**2022** 1 paper](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/) ## Papers The most cited first (OpenAlex and our library). 1. **[UniXcoder: Unified Cross-Modal Pre-training for Code Representation](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/)** *(2022 · 768 citations)* Pre-trained code models usually fall into one of three types, and each has a weakness. Encoder-only models need a decoder trained from scratch to generate text or code. Decoder-only models are weaker at understanding tasks. Encoder-decoder models are inefficient for code completion, which in practice should run… 2. **[Reasoning Over Semantic-Level Graph for Fact Checking](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/)** *(2020 · 221 citations)* Automated fact checking means judging whether a textual claim is supported or contradicted by evidence, and that evidence is often spread across several sentences. ## Also in our library 3 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Ming Zhou](https://md.research.elamur.ai/free/en/authors/ming-zhou/) ×2 - [Nan Duan](https://md.research.elamur.ai/free/en/authors/nan-duan/) ×2 - [Daya Guo](https://md.research.elamur.ai/free/en/authors/daya-guo/) - [Duyu Tang](https://md.research.elamur.ai/free/en/authors/duyu-tang/) - [Jingjing Xu](https://md.research.elamur.ai/free/en/authors/jingjing-xu/) - [Shuai Lu](https://md.research.elamur.ai/free/en/authors/shuai-lu/) - [Wanjun Zhong](https://md.research.elamur.ai/free/en/authors/wanjun-zhong/) - [Yanlin Wang](https://md.research.elamur.ai/free/en/authors/yanlin-wang/) ## Cited by Papers of our library cite their works 475 times (of the 140,884 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jian-yin/cited-by/).