---
title: "Xinke Jiang — author profile and papers — Elamur Research"
description: "Xinke Jiang, Shanghai Jiao Tong University: 4 papers on Elamur Research (2025–2026), h-index 6 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/xinke-jiang/"
---
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# Xinke Jiang

Xinke Jiang has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Junfeng Zhao](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/), [Xu Chu](https://md.research.elamur.ai/free/en/authors/xu-chu/), [Yasha Wang](https://md.research.elamur.ai/free/en/authors/yasha-wang/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5056532017) · [ORCID](https://orcid.org/0000-0003-1286-7974) · [**h-index 6**](https://openalex.org/authors/A5056532017) · [30 works](https://openalex.org/works?filter=author.id:A5056532017) · [148 citations](https://openalex.org/works?filter=author.id:A5056532017&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xinke-jiang/#papers) · [🔗 Cited 25 times in our library](https://md.research.elamur.ai/free/en/authors/xinke-jiang/cited-by/) · [⭐ Paper Stars ranking: #9370](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9370)

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=Xinke+Jiang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xinke+Jiang) · [dblp](https://dblp.org/search?q=Xinke+Jiang) · [ACL Anthology](https://aclanthology.org/search/?q=Xinke+Jiang)

## Affiliations

[🎓**Shanghai Jiao Tong University** Shanghai · China 2023–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🏥**Shanghai Ninth People's Hospital** Shanghai · China 2023–2026 · 6 papers*current*](https://ror.org/010826a91) · [🎓**Peking University** Beijing · China 2023–2025 · 13 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2022–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🏥**Peking University Shenzhen Hospital** Shenzhen · China 2025Employment since 2025 · Stomatological Center](https://ror.org/03kkjyb15)

🏛️**Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital** Shanghai · [China](https://md.research.elamur.ai/free/en/countries/china/) 2019–2025Education 2019–2022 · MDS, Department of Oral ImplantologyEducation 2022–2025 · DDS, Department of Oral Medicine

🏛️**Sichuan University West China College of Stomatology** Chengdu · [China](https://md.research.elamur.ai/free/en/countries/china/) 2014–2019Education 2014–2019 · BDS

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/)

🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xinke-jiang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xinke-jiang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[TC–RAG: Turing–Complete RAG's Case study on Medical LLM Systems](https://md.research.elamur.ai/free/en/papers/jiang-2025-tc-rag-turing-complete-rag/)** *(2025 · 25 citations)* Retrieval-augmented generation can reduce hallucinations and stale knowledge in medical LLMs. However, existing RAG pipelines lack an explicit state variable that tells the system when to stop retrieving, so they can loop without converging or pile up noisy context. The authors propose TC–RAG, which they prove to be…
2. **[Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning](https://md.research.elamur.ai/free/en/papers/xu-2025-parenting-optimizing-knowledge-selection-retrieval/)** *(2025 · 9 citations)* Retrieval-augmented LLMs face two competing demands. They should trust retrieved evidence even when it contradicts what they memorized (adherence), and they should ignore retrieved passages that look relevant but are actually noise (robustness). Training aimed at one of these tends to hurt the other. The authors…
3. **[ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs](https://md.research.elamur.ai/free/en/papers/ding-2026-promed-shapley-information-gain-guided/)** *(2026 · 4 citations)* Most medical LLMs answer straight away from the patient's first description. When that description is incomplete, this can produce misdiagnoses. ProMed is a reinforcement learning framework that trains models to ask follow-up questions and collect missing clinical details before giving an answer. Its core is the…
4. **[DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search](https://md.research.elamur.ai/free/en/papers/yang-2026-dfams-dynamic-flow-guided-federated/)** *(2026)* Federated Retrieval (FR) sends a query to several separate knowledge bases instead of one central index. Current FR systems often pick the wrong source or return weak documents when a query is ambiguous or crosses domains. DFAMS addresses this using the Dynamic Information Flow (DIF), meaning the activation paths…

## Co-authors here

12 of 17 co-authors with a page, the most papers together first.

- [Junfeng Zhao](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/) ×4
- [Xu Chu](https://md.research.elamur.ai/free/en/authors/xu-chu/) ×3
- [Yasha Wang](https://md.research.elamur.ai/free/en/authors/yasha-wang/) ×3
- [Yongxin Xu](https://md.research.elamur.ai/free/en/authors/yongxin-xu/) ×3
- [Yue Fang](https://md.research.elamur.ai/free/en/authors/yue-fang/) ×3
- [Hongxin Ding](https://md.research.elamur.ai/free/en/authors/hongxin-ding/) ×2
- [Rihong Qiu](https://md.research.elamur.ai/free/en/authors/rihong-qiu/) ×2
- [Ruizhe Zhang](https://md.research.elamur.ai/free/en/authors/ruizhe-zhang/) ×2
- [Xinyu Ma](https://md.research.elamur.ai/free/en/authors/xinyu-ma/) ×2
- [Hao Chen](https://md.research.elamur.ai/free/en/authors/hao-chen/)
- [Haoyu Zhang](https://md.research.elamur.ai/free/en/authors/haoyu-zhang/)
- [Jinyang Zhang](https://md.research.elamur.ai/free/en/authors/jinyang-zhang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2

## Cited by

Papers of our library cite their works 25 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xinke-jiang/cited-by/).

Updated 2 November 2026
