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Zhihua Wu

Zhihua Wu has 3 papers in our library, in 2021, most of them on Language models & pretraining, Text generation, Vision & language; often with Yu Sun, Chao Pang, Jiaxiang Liu.

3 papers in our library · 2021

OpenAlex · ORCID · Wikidata · h-index 14 · 48 works · 723 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 178 times in our library · ⭐ Paper Stars ranking: #4195

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

🎓Jiangxi Agricultural UniversityNanchang · China2008–2026 · 8 paperscurrent🎓Guangxi Normal UniversityGuilin · China2026 · 1 papercurrent🏢BaiduBeijing · China2021–2023 · 12 papersEmployment🏢Alibaba GroupHangzhou · China2019–2021 · 3 papers🎓Tiangong UniversityTianjin · China2024 · 2 papers🎓Nanjing Audit UniversityNanjing · China2023 · 2 papers🎓University of Science and Technology of ChinaHefei · China2023 · 2 papersEducation

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 · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 3 worksText generation · 1 workVision & language · 1 work

 Works by year

2020s

20213 papers

 Papers

The most cited first (OpenAlex and our library).

  1. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation (2021 · 332 citations)
    Most very large language models, such as GPT-3, learn only from raw text and are trained auto-regressively.
  2. ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation (2021 · 63 citations)
    Very large language models such as GPT-3 show that scale pays off. However, most are trained on plain text only, and their outputs are hard to steer or verify against real-world facts. This work scales up the knowledge-enhanced ERNIE 3.0 framework, which combines auto-encoding and auto-regressive networks and learns…
  3. ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation (2021 · 33 citations)
    Image captioning and text-to-image synthesis are two directions of the same mapping between vision and language, yet they have usually been handled by separate, task-specific architectures.

 Co-authors here

12 of 18 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 178 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

Updated

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