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Xiang Lan

Xiang Lan has 2 papers in our library, in 2009–2023, most of them on Machine translation, Text generation, Bias, fairness & safety; often with Erik Cambria, Mengling Feng, Qika Lin.

2 papers in our library · 2009–2023

OpenAlex · ORCID · h-index 14 · 47 works · 787 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 143 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4328

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

🎓Hunan Normal UniversityChangsha · China2012–2023 · 11 papers🎓National University of SingaporeSingapore · Singapore2020–2025 · 9 papers🏥Hunan Provincial People's HospitalChangsha · China2020–2023 · 9 papers🎓Tsinghua UniversityBeijing · China2017–2018 · 5 papers🎓National University Health SystemSingapore · Singapore2020–2021 · 4 papers🎓Donghua UniversityShanghai · China2016–2019 · 4 papers🎓Harbin Institute of TechnologyHarbin · China2009–2010 · 3 papers🎓China University of Mining and TechnologyXuzhou · China2020 · 2 papers🎓Wuhan Polytechnic UniversityWuhan · China2011 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksHealth Informatics · 1 workMedicine · 1 work

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workMachine translation · 1 workText generation · 1 work

 Works by year

2020s

20231 paperA Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

2000s

20091 paperApplication-driven Statistical Paraphrase Generation

 Papers

The most cited first (OpenAlex and our library).

  1. Application-driven Statistical Paraphrase Generation (2009 · 186 citations)
    Zhao et al. address paraphrase generation (PG) for downstream tasks. Earlier approaches were rule-based, thesaurus-based, NLG-based or SMT-based, and each had weaknesses: low coverage, synonym-only changes, a need for deep analysis, or scarce monolingual parallel data. The authors argue that PG is not simply…
  2. A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics (2023 · 86 citations)
    This survey asks how large language models are changing healthcare AI and what still prevents their real-world use.

All works

3 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. Application-driven Statistical Paraphrase GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Shiqi Zhao, Xiang Lan, Ting Liu, et al.2009 · 186 citations
  2. A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and EthicsarXiv:2310.05694Kai He, Rui Mao, Qika Lin, et al.2023 · 86 citations
  3. Leveraging Multiple MT Engines for Paraphrase GenerationProceedings of the 23rd International Conference on Computational Linguistics (Coling 2010) · original ↗ · no summary yetShiqi Zhao et al.2010 · 55 citations

 Co-authors here

7 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 143 times (of the 141,840 papers whose bibliographies we read); 15 citing papers with a page here →.

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