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Qingrong Xia

Qingrong Xia has 3 papers in our library, in 2023–2025, most of them on Semitic languages, Named entity recognition, Efficient models & compression; often with Zhefeng Wang, Baoxing Huai, Xinyu Duan.

3 papers in our library · 2023–2025

OpenAlex · h-index 8 · 21 works · 166 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 67 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6592

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

🎓Soochow UniversitySuzhou · China2016–2025 · 14 papers🏢Huawei TechnologiesShenzhen · China2021–2025 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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 · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 2 worksEfficient models & compression · 1 workNamed entity recognition · 1 work

 Works by year

2020s

20251 paper20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends (2023 · 64 citations)
    This survey reviews how named entity recognition for Arabic has developed and why it is harder than English NER.
  2. OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure (2025 · 32 citations)
    Speculative decoding speeds up LLM inference without changing outputs: a cheap draft model proposes several tokens, and the large target model checks them all in one parallel pass.
  3. AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing (2023 · 21 citations)
    Arabic has hundreds of millions of speakers, but its pretrained language models have lagged far behind English and Chinese in scale.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future TrendsIEEE Transactions on Knowledge and Data EngineeringXiaoye Qu, Yingjie Gu, Qingrong Xia, et al.2023 · 64 citations
  2. OPT-Tree: Speculative Decoding with Adaptive Draft Tree StructureTransactions of the Association for Computational Linguistics (TACL)Jikai Wang, Yi Su, Juntao Li, et al.2025 · 32 citations
  3. AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language ProcessingFindings of the Association for Computational LinguisticsAsaad Alghamdi, Xinyu Duan, Wei Jiang, et al.2023 · 21 citations
  4. Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing ↗arXiv:2112.02970 · no summary yetShilin Zhou et al.2021 · 14 citations
  5. Stacked AMR Parsing with Silver Data ↗Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yetQingrong Xia et al.2021 · 10 citations

 Co-authors here

12 of 13 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 67 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

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