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Jin Huang

Jin Huang has 2 papers in our library, in 2007–2026, most of them on Machine translation, Evaluation & benchmarks, Reasoning; often with Qun Liu, Tianhao Wang.

2 papers in our library · 2007–2026

OpenAlex · ORCID · h-index 12 · 44 works · 1,281 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 63 times in our library · ⭐ Paper Stars ranking: #5691

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

🎓Southwest Jiaotong UniversityChengdu · China2012–2026 · 12 paperscurrent🎓Flinders UniversityAdelaide · Australia2001–2011 · 4 papers🎓Peking UniversityBeijing · China2015–2025 · 3 papers🏥Peking University Third HospitalBeijing · China2021–2025 · 2 papers🎓Tsinghua UniversityBeijing · China2022–2025 · 2 papers🏢NetEaseBeijing · China2018–2020 · 2 papers🎓Hunan UniversityChangsha · China2009 · 2 papers🔬State Key Laboratory of Chemobiosensing and ChemometricsChangsha · China2009 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Machine translation · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper

2000s

20071 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Improving Statistical Machine Translation Performance by Training Data Selection and Optimization (2007 · 200 citations)
    The paper tackles a common situation in Chinese–English statistical machine translation. Parallel data from LDC comes from mixed domains such as Hong Kong laws, Hansards and news. Simply pooling these corpora does not reliably improve translation, and adding ever more data brings shrinking gains at growing…
  2. Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning Benchmarks (2026)
    ARC and ARC-AGI are often treated as tests of "fluid" reasoning, and frontier vision-language models (VLMs) score far below humans on them.

 Co-authors here

2 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 63 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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