--- title: "Dongyan Zhao — author profile and papers" description: "Dongyan Zhao, Peking University: 3 papers on Elamur Research (2016–2020), h-index 48 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/dongyan-zhao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dongyan-zhao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dongyan Zhao # Dongyan Zhao 3 papers on this site · 2016–2020 current affiliation [Peking University](https://ror.org/02v51f717), Beijing, China Dongyan Zhao has 3 papers on this site, in 2016–2020, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Rui Yan](https://md.research.elamur.ai/free/en/authors/rui-yan/), [Can Xu](https://md.research.elamur.ai/free/en/authors/can-xu/), [Chongyang Tao](https://md.research.elamur.ai/free/en/authors/chongyang-tao/). [OpenAlex](https://openalex.org/A5037132097) · [ORCID](https://orcid.org/0000-0002-0396-6703) · [**h-index 48**](https://openalex.org/authors/A5037132097) · [416 works](https://openalex.org/works?filter=author.id:A5037132097) · [9 969 citations](https://openalex.org/works?filter=author.id:A5037132097&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [3 works on this site](https://md.research.elamur.ai/free/en/authors/dongyan-zhao/#papers) · [526 citations in our library](https://md.research.elamur.ai/free/en/authors/dongyan-zhao/cited-by/) · 8 more works in our library 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=Dongyan+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dongyan+Zhao) · [dblp](https://dblp.org/search?q=Dongyan+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Dongyan+Zhao) ## Affiliations - [Peking University](https://ror.org/02v51f717) · Beijing, China —current · 2004–2026 on 338 papers - [Beijing Institute for General Artificial Intelligence](https://ror.org/02kw1ws04) · Beijing, China —2022–2025 on 29 papers - [Xiamen University](https://ror.org/00mcjh785) · Xiamen, China —2023–2024 on 2 papers - [University of Leeds](https://ror.org/024mrxd33) · Leeds, United Kingdom —2019–2020 on 3 papers - [Beijing Institute of Big Data Research](https://ror.org/00s1sz824) · Beijing, China —2017–2018 on 8 papers - [Michigan State University](https://ror.org/05hs6h993) · East Lansing, United States —2014–2017 on 5 papers - [IBM (United States)](https://ror.org/05hh8d621) · Armonk, United States —2014–2015 on 2 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 19 more institutions on single bylines are not listed. ## Topics [Question answering 1](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Information extraction 1](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Dialogue systems 1](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) ## Papers The most cited first (OpenAlex and our library). 1. **[Style Transfer in Text: Exploration and Evaluation](https://md.research.elamur.ai/free/en/papers/fu-2017-style-transfer-text-exploration-evaluation/)** *(2017 · 701 citations)* The paper addresses text style transfer when no aligned (parallel) sentence pairs exist and when standard metrics like BLEU have no gold references to compare against. 2. **[Question Answering on Freebase via Relation Extraction and Textual Evidence](https://md.research.elamur.ai/free/en/papers/xu-2016-question-answering-freebase-relation-extraction/)** *(2016 · 357 citations)* The paper addresses question answering over Freebase (KB-QA). It targets a known weakness of relation-extraction approaches: they cope well with limited training data but return too many answers when a question carries extra constraints. Examples are superlatives such as "highest" or words with hidden conditions… 3. **[Knowledge-Grounded Dialogue Generation with Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2020-knowledge-grounded-dialogue-generation-pre/)** *(2020 · 244 citations)* Large pre-trained dialogue models such as DialoGPT often give vague replies when a topic calls for specific facts. ## Also in our library 8 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Rui Yan](https://md.research.elamur.ai/free/en/authors/rui-yan/) ×2 - [Can Xu](https://md.research.elamur.ai/free/en/authors/can-xu/) - [Chongyang Tao](https://md.research.elamur.ai/free/en/authors/chongyang-tao/) - [Kun Xu](https://md.research.elamur.ai/free/en/authors/kun-xu/) - [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/) - [Siva Reddy](https://md.research.elamur.ai/free/en/authors/siva-reddy/) - [Songfang Huang](https://md.research.elamur.ai/free/en/authors/songfang-huang/) - [Wei Wu](https://md.research.elamur.ai/free/en/authors/wei-wu/) - [Xueliang Zhao](https://md.research.elamur.ai/free/en/authors/xueliang-zhao/) - [Yansong Feng](https://md.research.elamur.ai/free/en/authors/yansong-feng/) ## Cited by Papers of our library cite their works 526 times (of the 140 884 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dongyan-zhao/cited-by/).