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Lianghao Xia

Lianghao Xia has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Information retrieval & search; often with Chao Huang, Yanhua Yu.

2 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 38 · 66 works · 5,776 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 188 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #4832

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

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. LightRAG: Simple and Fast Retrieval-Augmented Generation (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 (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 GenerationarXiv:2410.05779Zirui Guo, Lianghao Xia, Yanhua Yu, et al.2024 · 316 citations
  2. Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetLianghao Xia et al.2021 · 240 citations
  3. Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetXiyue Zhang et al.2021 · 227 citations
  4. Knowledge-aware Coupled Graph Neural Network for Social Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChao Huang et al.2021 · 191 citations
  5. UrbanGPT: Spatio-Temporal Large Language Models ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetZhonghang Li et al.2024 · 189 citations
  6. Knowledge Graph Self-Supervised Rationalization for Recommendation ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetYuhao Yang et al.2023 · 174 citations
  7. AI-Researcher: Autonomous Scientific Innovation ↗arXiv:2505.18705 · no summary yetJiabin Tang et al.2025 · 40 citations

 Co-authors here

2 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 188 times (of the 149,439 papers whose bibliographies we read); 30 citing papers with a page here →.

Updated

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