---
title: "Lianghao Xia — author profile and papers — Elamur Research"
description: "Lianghao Xia, Harbin Institute of Technology: 2 papers on Elamur Research (2024–2026), h-index 38 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/lianghao-xia/"
---
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# Lianghao Xia

Lianghao Xia has 2 papers in our library, in 2024–2026, 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 [Chao Huang](https://md.research.elamur.ai/free/en/authors/chao-huang/), [Yanhua Yu](https://md.research.elamur.ai/free/en/authors/yanhua-yu/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5019844880) · [ORCID](https://orcid.org/0000-0003-0725-2211) · [Wikidata](https://www.wikidata.org/wiki/Q130845101) · [**h-index 38**](https://openalex.org/authors/A5019844880) · [66 works](https://openalex.org/works?filter=author.id:A5019844880) · [5,776 citations](https://openalex.org/works?filter=author.id:A5019844880&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lianghao-xia/#papers) · [🔗 Cited 188 times in our library](https://md.research.elamur.ai/free/en/authors/lianghao-xia/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4832](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4832)

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

## Affiliations

[🎓**University of Hong Kong** Pok Fu Lam · China 2022–2026 · 48 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**Harbin Institute of Technology** Harbin · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**South China University of Technology** Guangzhou · China 2020–2021 · 11 papers](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/)

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

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Retrieval-augmented generation · 1 work](https://md.research.elamur.ai/free/en/concepts/retrieval-augmented-generation/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/lianghao-xia/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/lianghao-xia/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LightRAG: Simple and Fast Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/guo-2024-lightrag-simple-fast-retrieval-augmented/)** *(2024 · 316 citations)* Standard RAG pipelines index text as isolated chunks. When a question involves several linked concepts, the retrieved pieces often produce a disjointed answer. LightRAG (Guo et al., BUPT and University of Hong Kong) addresses this by building a knowledge graph at indexing time. Documents are split into chunks, an LLM…
2. **[AnyGraph: Graph Foundation Model in the Wild](https://md.research.elamur.ai/free/en/papers/xia-2026-anygraph-graph-foundation-model-wild/)** *(2026 · 3 citations)* Graph neural models usually need heavy fine-tuning for each new graph, and they transfer poorly when structure or node features change across domains.

## All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. [**LightRAG: Simple and Fast Retrieval-Augmented Generation arXiv:2410.05779**Zirui Guo, Lianghao Xia, Yanhua Yu, et al.*2024 · 316 citations*](https://md.research.elamur.ai/free/en/papers/guo-2024-lightrag-simple-fast-retrieval-augmented/)
2. **[Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation ↗](https://doi.org/10.1609/aaai.v35i5.16576) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Lianghao Xia et al.*2021 · 240 citations*
3. **[Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network ↗](https://doi.org/10.1609/aaai.v35i17.17761) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Xiyue Zhang et al.*2021 · 227 citations*
4. **[Knowledge-aware Coupled Graph Neural Network for Social Recommendation ↗](https://doi.org/10.1609/aaai.v35i5.16533) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Chao Huang et al.*2021 · 191 citations*
5. **[UrbanGPT: Spatio-Temporal Large Language Models ↗](https://doi.org/10.1145/3637528.3671578) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Zhonghang Li et al.*2024 · 189 citations*
6. **[Knowledge Graph Self-Supervised Rationalization for Recommendation ↗](https://doi.org/10.1145/3580305.3599400) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Yuhao Yang et al.*2023 · 174 citations*
7. **[AI-Researcher: Autonomous Scientific Innovation ↗](https://arxiv.org/abs/2505.18705) arXiv:2505.18705 · no summary yet**Jiabin Tang et al.*2025 · 40 citations*
8. **[AnyGraph: Graph Foundation Model in the Wild](https://md.research.elamur.ai/free/en/papers/xia-2026-anygraph-graph-foundation-model-wild/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lianghao Xia, Chao Huang*2026 · 3 citations*

## Co-authors here

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

- [Chao Huang](https://md.research.elamur.ai/free/en/authors/chao-huang/) ×2
- [Yanhua Yu](https://md.research.elamur.ai/free/en/authors/yanhua-yu/)

## Venues

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

- Proceedings of the AAAI Conference on Artificial Intelligence ×3
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) ×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 188 times (of the 149,439 papers whose bibliographies we read); [30 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lianghao-xia/cited-by/).

Updated 1 November 2026
