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Ran Li

Ran Li has 2 papers in our library, in 2016–2025, most of them on Reasoning, GPU & parallel computing, Semantic parsing & meaning representation; often with Diyi Yang, Feiyu Xu, Hans Uszkoreit.

2 papers in our library · 2016–2025

OpenAlex · ORCID · h-index 3 · 13 works · 50 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 36 times in our library · ⭐ Paper Stars ranking: #7032

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

🎓Guangdong Mechanical & Electrical PolytechnicGuangzhou · China2024–2025 · 3 paperscurrent🎓Jinan UniversityGuangzhou · China2025 · 1 papercurrent🎓Guangzhou UniversityGuangzhou · China2022–2024 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Semantic parsing & meaning representation · 1 workGPU & parallel computing · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper

2010s

20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AMR Parsing with an Incremental Joint Model (2016 · 79 citations)
    The paper addresses a weakness of pipelined Abstract Meaning Representation (AMR) parsers such as JAMR. These parsers first pick concepts and then link them with relations, so mistakes made in the first stage cannot be corrected later. The authors instead treat concept identification and relation identification as…
  2. EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence Checking (2025 · 8 citations)
    EquiBench asks whether large language models actually grasp what code does or mostly react to how it looks.

 Co-authors here

9 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 36 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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