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Ziwei Huang

Ziwei Huang has 2 papers in our library, in 2025–2026, most of them on Reasoning, Vision & language; often with Leilei Gan, Yandi Wang, Fei Qing Wu.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 21 · 84 works · 1,256 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 6 times in our library · ⭐ Paper Stars ranking: #10219

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

🎓Peking UniversityBeijing · China2019–2026 · 59 paperscurrent🎓Hunan Institute of EngineeringXiangtan · China2026 · 1 papercurrent🎓Southeast UniversityNanjing · China2026 · 1 papercurrent🔬State Key Laboratory of Advanced Optical Communication Systems and NetworksShanghai2019–2025 · 43 papers🔬State Key Laboratory of Advanced Optical Communication Systems and NetworksHubei2019–2025 · 43 papers🎓Zhengzhou UniversityZhengzhou · China2020–2023 · 3 papers🎓Zhejiang UniversityHangzhou · China2025 · 2 papers🔬Peng Cheng LaboratoryShenzhen · China2022–2023 · 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Vision & language · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts (2025 · 8 citations)
    Most text-to-image (T2I) evaluation measures prompt alignment, image quality or object composition. It rarely checks whether models depict specific real-world entities correctly, such as a particular handbag model, landmark or dog breed. To fill this gap, the authors built T2I-FactualBench, which they describe as the…
  2. From Recognition to Reasoning: Benchmarking and Enhancing MLLMs on Real-World Receipt Document Understanding (2026)
    The paper addresses Visual Information Extraction (VIE) from receipts and invoices. Existing benchmarks are small, synthetic, or limited to narrow domains, and they mostly test literal text extraction. The authors introduce ReceiptBench, a human-annotated collection of 10,656 real-world financial documents, including…

 Co-authors here

5 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 6 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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