Elamur Research⌕
☰
home / authors / Hongxin Ding

Hongxin Ding

Hongxin Ding has 2 papers in our library, in 2026; often with Junfeng Zhao, Xinke Jiang, Yasha Wang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 12 · 30 works · 431 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #11992

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓China University of Petroleum, BeijingBeijing · China2024–2026 · 5 paperscurrent🎓Peking UniversityBeijing · China2023–2026 · 2 paperscurrent🎓Fudan UniversityShanghai · China2022–2025 · 14 papers🎓East China University of Science and TechnologyShanghai · China2018–2022 · 5 papers🔬State Key Laboratory of Chemical EngineeringHangzhou · China2018–2022 · 5 papers🎓Harbin Engineering UniversityHarbin · China2015–2025 · 2 papers🔬Collaborative Innovation Center of Chemistry for Energy MaterialsShanghai · China2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksHealth Informatics · 1 workMedicine · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs (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…
  2. DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search (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

10 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/hongxin-ding/