---
title: "Xueyuan Lin — author profile and papers — Elamur Research"
description: "Xueyuan Lin, The Hong Kong University of Science and Technology (Guangzhou): 4 papers on Elamur Research (2026), h-index 4…"
canonical: "https://research.elamur.ai/free/en/authors/xueyuan-lin/"
---
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# Xueyuan Lin

Xueyuan Lin has 4 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Cehao Yang](https://md.research.elamur.ai/free/en/authors/cehao-yang/), [Chengjin Xu](https://md.research.elamur.ai/free/en/authors/chengjin-xu/), [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/).

4 papers in our library · 2026

[OpenAlex](https://openalex.org/A5025869540) · [ORCID](https://orcid.org/0000-0002-8489-7796) · [**h-index 4**](https://openalex.org/authors/A5025869540) · [52 works](https://openalex.org/works?filter=author.id:A5025869540) · [88 citations](https://openalex.org/works?filter=author.id:A5025869540&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xueyuan-lin/#papers) · [🔗 Cited 14 times in our library](https://md.research.elamur.ai/free/en/authors/xueyuan-lin/cited-by/) · [⭐ Paper Stars ranking: #9262](https://md.research.elamur.ai/free/en/paper-stars/page/93/#star-9262)

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

## Affiliations

[🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) · [🎓**Naval Aeronautical and Astronautical University** Yantai · China 2006–2016 · 18 papers](https://ror.org/02j2yhq26) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2021–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🎓**Shandong Vocational University of Foreign Affairs** Weihai · China 2025 · 3 papers](https://ror.org/016sx5n82)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/)

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

## Works by year

### 2020s

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/xueyuan-lin/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks](https://md.research.elamur.ai/free/en/papers/zhang-2026-memory-as-action-autonomous-context/)** *(2026 · 10 citations)* LLM agents on long tasks such as deep research or multi-step tool use accumulate large interaction histories.
2. **[Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2026-select2reason-efficient-instruction-tuning-data/)** *(2026 · 4 citations)* Long chain-of-thought (long-CoT) reasoning can be instilled in LLMs cheaply by supervised fine-tuning on traces generated by strong reasoning models.
3. **[Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-prompt-r1-collaborative-automatic-prompting/)** *(2026 · 3 citations)* Many people struggle to write good prompts for hard problems, which keeps large language models from performing at their best.
4. **[RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems](https://md.research.elamur.ai/free/en/papers/liu-2026-roadmapper-multi-agent-system-roadmap/)** *(2026)* The paper introduces roadmap generation as a new task. Given a complex research problem, an LLM must produce a hierarchical, tree-shaped plan of subtasks that guides a researcher step by step. The plan is encoded as Markdown headings with numbered indices.

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Cehao Yang](https://md.research.elamur.ai/free/en/authors/cehao-yang/)
- [Chengjin Xu](https://md.research.elamur.ai/free/en/authors/chengjin-xu/)
- [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/)
- [Haihong E](https://md.research.elamur.ai/free/en/authors/haihong-e/)
- [Haoran Luo](https://md.research.elamur.ai/free/en/authors/haoran-luo/)
- [Hui Xiong](https://md.research.elamur.ai/free/en/authors/hui-xiong/)
- [Jiacheng Liu](https://md.research.elamur.ai/free/en/authors/jiacheng-liu/)
- [Jian Guo](https://md.research.elamur.ai/free/en/authors/jian-guo/)
- [Jiapu Wang](https://md.research.elamur.ai/free/en/authors/jiapu-wang/)
- [Jitao Sang](https://md.research.elamur.ai/free/en/authors/jitao-sang/)
- [Rongjin Li](https://md.research.elamur.ai/free/en/authors/rongjin-li/)
- [Rui Mao](https://md.research.elamur.ai/free/en/authors/rui-mao/)

## 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/) ×4: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×4

## Cited by

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xueyuan-lin/cited-by/).

Updated 1 November 2026
