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Xinyi He

Xinyi He has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Efficient models & compression; often with Mengyu Zhou, Shi Han, Dongmei Zhang.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 8 · 57 works · 296 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 65 times in our library · ⭐ Paper Stars ranking: #8283

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

🏢Guizhou Power Grid Co., Ltd.Guiyang · China2022–2026 · 8 paperscurrent🎓Southeast UniversityNanjing · China2019–2026 · 6 paperscurrent🎓Harbin Institute of TechnologyHarbin · China2026 · 2 paperscurrent🏢State Grid Zhejiang Electric Power CompanyHangzhou · China2022–2024 · 3 papers🎓Xi'an Jiaotong UniversityXi'an · China2022 · 3 papers🎓Beijing Institute of TechnologyBeijing · China2024–2025 · 2 papers🎓Hebei University of Science and TechnologyShijiazhuang · China2023–2025 · 2 papers🎓Xi’an University of Posts and TelecommunicationsXi'an · China2024–2025 · 2 papers🎓Jiangnan UniversityWuxi · China2022–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 19 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking (2023 · 75 citations)
    Large language models perform well on text, but it is unclear how well they handle graphs, which are central to social network analysis, chemistry, recommendation and knowledge bases.
  2. TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models (2025 · 8 citations)
    Large language models often misread tables when tuned with parameter-efficient methods such as LoRA. Flattening a grid into a token sequence hides which cells share a row or column, and nested headers become hard to interpret. TableLoRA is a PEFT-compatible module that addresses these problems with two components:

 Co-authors here

6 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 65 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated

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