Feng Wang
Feng Wang has 2 papers in our library, in 2017–2020, most of them on Language models & pretraining; often with Bo Xu, Peng Zhou, Weidi Xu.
OpenAlex · ORCID · h-index 22 · 116 works · 2,158 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 170 times in our library · ⭐ Paper Stars ranking: #2059
Affiliations
🏛️Chinese Academy of SciencesBeijing ·
China2006–2025 · 59 papers🎓Aerospace Information Research InstituteBeijing ·
China2019–2025 · 44 papers🎓Xiamen UniversityXiamen ·
China2021–2025 · 5 papers🎓Xinjiang UniversityÜrümqi ·
China2025 · 2 papers🎓Southeast UniversityNanjing ·
China2025 · 1 paper🎓Weifang UniversityWeifang ·
China2025 · 1 paper🔬Institute of ElectronicsBeijing ·
China2017–2022 · 12 papers🎓Kunming University of Science and TechnologyKunming ·
China2009–2015 · 11 papers🎓University of Chinese Academy of SciencesBeijing ·
China2012–2024 · 5 papers🔬Collaborative Innovation Center of Chemistry for Energy MaterialsShanghai ·
China2021–2022 · 2 papers
Concepts, shelves and topics
📚 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 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
2010s
Papers
- Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme (2017 · 906 citations)
The paper addresses joint extraction of entities and relations: finding entity pairs in raw text together with a relation type from a fixed inventory. - SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check (2020 · 199 citations)
Chinese Spelling Check (CSC) means finding and fixing misused characters in Chinese text. Many such errors involve characters that sound or look alike but differ completely in meaning. Earlier systems used confusion sets only to narrow down candidate replacements. They did not model how similar characters relate to…
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