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Minghui Liu

Minghui Liu has 2 papers in our library, in 2026; often with Furong Huang, Sy-Tuyen Ho, Huy Nghiem.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 21 · 171 works · 1,716 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #13409

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

🎓University of Science and Technology of ChinaHefei · China2006–2026 · 4 paperscurrent🎓Shenyang University of Chemical TechnologyShenyang · China2025–2026 · 2 paperscurrent🎓University of Electronic Science and Technology of ChinaChengdu · China2020–2025 · 33 papers🎓Wenzhou Medical UniversityWenzhou · China2022–2025 · 11 papers🏥Quzhou City People's HospitalQuzhou · China2023–2025 · 7 papers🏢First Automotive WorksChangchun · China2003–2010 · 5 papers🎓Central South UniversityChangsha · China2023–2025 · 4 papers🎓Harbin Normal UniversityHarbin · China2015–2025 · 4 papers🎓Fudan UniversityShanghai · China2009–2022 · 4 papers🎓Naval University of EngineeringWuhan · China2023–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 59 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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksSocial Sciences · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSafety Research · 2 worksHistory and Philosophy of Science · 1 workInformation Systems · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones? (2026 · 2 citations)
    AI "scientist" agents can now draft hypotheses, code, and papers. Current benchmarks, however, mostly test execution and skip an earlier question: can a model spot a methodologically weak research plan before compute is spent on it? SoundnessBench targets this pre-execution triage step for machine learning. The…
  2. When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and Mitigation (2026)
    LLM-written reviews increasingly appear in public data and may end up training the next generation of AI reviewers.

 Co-authors here

3 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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