---
title: "Huan Yu — author profile and papers — Elamur Research"
description: "Huan Yu, Tencent: 3 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/huan-yu/"
---
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# Huan Yu

Huan Yu has 3 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jie Jiang](https://md.research.elamur.ai/free/en/authors/jie-jiang/), [Liqun Liu](https://md.research.elamur.ai/free/en/authors/liqun-liu/), [Peng Shu](https://md.research.elamur.ai/free/en/authors/peng-shu/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139723687) · [ORCID](https://orcid.org/0009-0003-4676-2967) · [**h-index 1**](https://openalex.org/authors/A5139723687) · [10 works](https://openalex.org/works?filter=author.id:A5139723687) · [1 citations](https://openalex.org/works?filter=author.id:A5139723687&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/huan-yu/#papers) · 🔗 Cited 2 times in our library · [⭐ Paper Stars ranking: #12392](https://md.research.elamur.ai/free/en/paper-stars/page/124/#star-12392)

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

## Affiliations

[🏢**Tencent** Shenzhen · China 2026 · 5 papersEmployment*current*](https://md.research.elamur.ai/free/en/companies/tencent/)

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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 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 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/huan-yu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training](https://md.research.elamur.ai/free/en/papers/xia-2026-search-p1-path-centric-reward/)** *(2026 · 2 citations)* Agentic RAG systems trained with reinforcement learning, such as Search-R1, usually receive a single binary reward for the final answer.
2. **[Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM-based Recommendation](https://md.research.elamur.ai/free/en/papers/wu-2026-internalizing-multi-agent-reasoning-accurate/)** *(2026)* LLM-based recommenders struggle with two problems. Collaborative signals (behavioral consensus from many users) are invisible to models that read only item text. Tool-using agents that could fetch such signals are too slow because each reasoning turn adds latency. The authors address both with a two-stage approach.…
3. **[SSR-A: Spatial- and Semantic-Aware Instructions and Curriculum Reinforcement for Advertisement Compliant Rectification](https://md.research.elamur.ai/free/en/papers/te-2026-ssr-spatial-semantic-aware-instructions/)** *(2026)* Ad platforms reject millions of non-compliant image ads every day, and fixing them by hand does not scale.

## Co-authors here

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

- [Jie Jiang](https://md.research.elamur.ai/free/en/authors/jie-jiang/) ×3
- [Liqun Liu](https://md.research.elamur.ai/free/en/authors/liqun-liu/) ×2
- [Peng Shu](https://md.research.elamur.ai/free/en/authors/peng-shu/) ×2
- [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/)
- [Qian Li](https://md.research.elamur.ai/free/en/authors/qian-li/)
- [Yang Wu](https://md.research.elamur.ai/free/en/authors/yang-wu/)
- [Yiding Sun](https://md.research.elamur.ai/free/en/authors/yiding-sun/)

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

## Cited by

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026
