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Meishan Zhang

Biographic Data

ID6222946
NAMEMeishan Zhang
GIVEN NAMESMeishan
FAMILY NAMEZhang
SIGNATUREZHANG M
AFFILIATIONSHarbin Institute of Technology (Shenzhen), Institute of Computing and Intelligence. [email protected]
ORCID0000-0001-6335-1340
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Effect of exercise intervention on quality of life and exercise capacity in patients with atrial fibrillation

    Open Access•Yaya Xi, Yinxue Zhang et al.•ARTICLE•Frontiers in Public Health•2025

  • LLM-Assisted Data Augmentation for Chinese Dialogue-Level Dependency Parsing

    Open Access•Meishan Zhang, Gongyao Jiang et al.•ARTICLE•Computational Linguistics•2024•Cited by: 1

    Dialogue-level dependency parsing, despite its growing academic interest, often encounters underperformance issues due to resource shortages. A potential solution to this challenge is data augmentation. In recent years, large language models (LLMs) have demonstrated strong capabilities in generation, which can facilitate data augmentation greatly. In this study, we focus on Chinese dialogue-level dependency parsing, presenting three simple and ef…

  • LLM-Assisted Data Augmentation for Chinese Dialogue-Level Dependency Parsing

    Open Access•Meishan Zhang, Gongyao Jiang et al.•ARTICLE•Computational Linguistics•2024•Cited by: 1

    Dialogue-level dependency parsing, despite its growing academic interest, often encounters underperformance issues due to resource shortages. A potential solution to this challenge is data augmentation. In recent years, large language models (LLMs) have demonstrated strong capabilities in generation, which can facilitate data augmentation greatly. In this study, we focus on Chinese dialogue-level dependency parsing, presenting three simple and ef…

  • LLM-Assisted Data Augmentation for Chinese Dialogue-Level Dependency Parsing

    Open Access•Meishan Zhang, Gongyao Jiang et al.•ARTICLE•Computational Linguistics•2024•Cited by: 1

    Dialogue-level dependency parsing, despite its growing academic interest, often encounters underperformance issues due to resource shortages. A potential solution to this challenge is data augmentation. In recent years, large language models (LLMs) have demonstrated strong capabilities in generation, which can facilitate data augmentation greatly. In this study, we focus on Chinese dialogue-level dependency parsing, presenting three simple and ef…

  • Effect of exercise intervention on quality of life and exercise capacity in patients with atrial fibrillation

    Open Access•Yaya Xi, Yinxue Zhang et al.•ARTICLE•Frontiers in Public Health•2025

Artificial Intelligence (1 work) · Computer Science (1 work) · Dependency (UML (1 work) · Dependency grammar (1 work) · Natural language processing (1 work) · Natural Language Processing Techniques (1 work) · Parsing (1 work) · Speech and dialogue systems (1 work) · Topic Modeling (1 work)

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