---
title: "Boyu Qiu — author profile and papers · Named entity recognition"
description: "Boyu Qiu, Harbin Institute of Technology: 2 papers on Elamur Research (2026), h-index 2 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/boyu-qiu/"
---
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# Boyu Qiu

Boyu Qiu has 2 papers in our library, in 2026, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Buzhou Tang](https://md.research.elamur.ai/free/en/authors/buzhou-tang/), [Xiaolong Weng](https://md.research.elamur.ai/free/en/authors/xiaolong-weng/), [Ying Xiong](https://md.research.elamur.ai/free/en/authors/ying-xiong/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5086341816) · [**h-index 2**](https://openalex.org/authors/A5086341816) · [9 works](https://openalex.org/works?filter=author.id:A5086341816) · [25 citations](https://openalex.org/works?filter=author.id:A5086341816&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/boyu-qiu/#papers) · [⭐ Paper Stars ranking: #13457](https://md.research.elamur.ai/free/en/paper-stars/page/135/#star-13457)

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

## Affiliations

[🎓**Harbin Institute of Technology** Harbin · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2021 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/)

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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/boyu-qiu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[AnchorAlign: A Novel Anchor Alignment-enhanced Generative Method for Joint Named Entity Recognition and Relation Extraction](https://md.research.elamur.ai/free/en/papers/weng-2026-anchoralign-novel-anchor-alignment-enhanced/)** *(2026)* Generative models now dominate information extraction, but joint systems that both recognize named entities (NER) and extract the relations among them (RE) often produce outputs that disagree.
2. **[SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph Construction](https://md.research.elamur.ai/free/en/papers/wang-2026-sr-rag-verifiable-multi-hop/)** *(2026)* Multi-hop question answering is still difficult for retrieval-augmented generation. Aggregate-first systems such as GraphRAG build a corpus-wide knowledge graph in advance, which is costly and hard to keep current. Dynamic-first agents such as ReAct alternate retrieval and generation, but one wrong intermediate…

## Co-authors here

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

- [Buzhou Tang](https://md.research.elamur.ai/free/en/authors/buzhou-tang/) ×2
- [Xiaolong Weng](https://md.research.elamur.ai/free/en/authors/xiaolong-weng/) ×2
- [Ying Xiong](https://md.research.elamur.ai/free/en/authors/ying-xiong/) ×2
- [Zehua Wang](https://md.research.elamur.ai/free/en/authors/zehua-wang/) ×2
- [Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2

Updated 2 November 2026
