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Guangyou Zhou

Guangyou Zhou has 2 papers in our library, in 2014–2026, most of them on Knowledge graphs & ontologies; often with Daojian Zeng, Derek F. Wong, Jun Zhao.

2 papers in our library · 2014–2026

OpenAlex · ORCID · Wikidata · h-index 27 · 100 works · 3,542 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 357 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #1854

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

🎓Central China Normal UniversityWuhan · China2014–2026 · 66 paperscurrent🔬Institute of AutomationBeijing · China2011–2015 · 18 papers🏛️Chinese Academy of SciencesBeijing · China2011–2015 · 17 papers🎓Fudan UniversityShanghai · China2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Knowledge graphs & ontologies · 1 work

💡 Concepts 2Key ideas and methods explained on our concept pages.Information extraction · 1 workParsing · 1 work

 Works by year

2020s

20261 paper

2010s

20141 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Relation Classification via Convolutional Deep Neural Network (2014 · 1,673 citations)
    The paper addresses relation classification: deciding which semantic relation holds between two marked nominals in a sentence.
  2. MAKI: Multi-layer Aligned Knowledge Injection for Structure-aware Knowledge Graph Completion with Large Language Models (2026)
    MAKI addresses a weakness in LLM-based knowledge graph completion (KGC). Current LLM approaches use little of the graph's topology. Methods such as KoPA and SAT add structure through RotatE-style embeddings, but those embeddings live in a different vector space from the LLM and cannot represent entities unseen in…

All works

4 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. Relation Classification via Convolutional Deep Neural NetworkInternational Conference on Computational Linguistics (COLING)Daojian Zeng, Kang Liu, Siwei Lai, et al.2014 · 1,673 citations
  2. Bi-Transferring Deep Neural Networks for Domain Adaptation ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetGuangyou Zhou et al.2016 · 74 citations
  3. ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetZhiwen Xie et al.2020 · 67 citations
  4. MAKI: Multi-layer Aligned Knowledge Injection for Structure-aware Knowledge Graph Completion with Large Language ModelsFindings of the Association for Computational LinguisticsZhiwen Xie, Xin Wang, Guangyou Zhou, et al.2026

 Co-authors here

5 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 357 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/guangyou-zhou/