--- title: "Xiaoxin He — author profile and papers — Elamur Research" description: "Xiaoxin He, Peking University Shenzhen Hospital: 2 papers on Elamur Research (2023–2024), h-index 12 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/xiaoxin-he/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaoxin-he/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiaoxin He # Xiaoxin He Xiaoxin He has 2 papers in our library, in 2023–2024, 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Bryan Hooi](https://md.research.elamur.ai/free/en/authors/bryan-hooi/), [Thomas Laurent](https://md.research.elamur.ai/free/en/authors/thomas-laurent/), [Xavier Bresson](https://md.research.elamur.ai/free/en/authors/xavier-bresson/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5100849212) · [ORCID](https://orcid.org/0000-0002-8281-8070) · [Wikidata](https://www.wikidata.org/wiki/Q130839477) · [**h-index 12**](https://openalex.org/authors/A5100849212) · [42 works](https://openalex.org/works?filter=author.id:A5100849212) · [436 citations](https://openalex.org/works?filter=author.id:A5100849212&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiaoxin-he/#papers) · [🔗 Cited 190 times in our library](https://md.research.elamur.ai/free/en/authors/xiaoxin-he/cited-by/) · [⭐ Paper Stars ranking: #5460](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5460) 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=Xiaoxin+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiaoxin+He) · [dblp](https://dblp.org/search?q=Xiaoxin+He) · [ACL Anthology](https://aclanthology.org/search/?q=Xiaoxin+He) ## Affiliations [🎓**Nanjing Medical University** Nanjing · China 2022–2025 · 6 papers*current*](https://ror.org/059gcgy73) · [🏛️**Beijing Center for Disease Prevention and Control** Beijing · China 2022–2025 · 2 papers*current*](https://ror.org/058dc0w16) · [🏥**Peking University Shenzhen Hospital** Shenzhen · China 2022–2025 · 2 papers*current*](https://ror.org/03kkjyb15) · [🏛️**Chinese Academy of Sciences** Beijing · China 2008–2019 · 13 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Software** Beijing · China 2008–2018 · 12 papers](https://md.research.elamur.ai/free/en/labs/institute-of-software/) · [🎓**National University of Singapore** Singapore · Singapore 2021–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🏥**Nanjing Brain Hospital** Nanjing · China 2022–2024 · 2 papers](https://ror.org/01wcx2305) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 5 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/) 🧭 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/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Retrieval-augmented generation · 1 work](https://md.research.elamur.ai/free/en/concepts/retrieval-augmented-generation/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaoxin-he/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaoxin-he/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering](https://md.research.elamur.ai/free/en/papers/he-2024-g-retriever-retrieval-augmented-generation/)** *(2024 · 236 citations)* This work targets question answering over real-world graphs whose nodes and edges carry text. Earlier LLM–GNN combinations mostly handled standard classification or toy queries on small synthetic graphs. The authors assemble a GraphQA benchmark from three sources: ExplaGraphs (commonsense reasoning), SceneGraphs… 2. **[Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning](https://md.research.elamur.ai/free/en/papers/he-2023-harnessing-explanations-llm-lm-interpreter/)** *(2023 · 75 citations)* Text-attributed graphs (TAGs), such as citation networks where each node carries a title and abstract, are usually handled by GNNs fed with shallow text features (bag-of-words, skip-gram) or by heavy LM+GNN pipelines that need logits or embeddings, which commercial LLMs do not expose. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Bryan Hooi](https://md.research.elamur.ai/free/en/authors/bryan-hooi/) ×2 - [Thomas Laurent](https://md.research.elamur.ai/free/en/authors/thomas-laurent/) ×2 - [Xavier Bresson](https://md.research.elamur.ai/free/en/authors/xavier-bresson/) ×2 - [Yann LeCun](https://md.research.elamur.ai/free/en/authors/yann-lecun/) ×2 - [Nitesh V. Chawla](https://md.research.elamur.ai/free/en/authors/nitesh-v-chawla/) - [Yijun Tian](https://md.research.elamur.ai/free/en/authors/yijun-tian/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 190 times (of the 149,439 papers whose bibliographies we read); [47 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaoxin-he/cited-by/). Updated 2 November 2026