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Lin Qiu

Lin Qiu has 2 papers in our library, in 2019–2021, most of them on Machine translation, Reasoning; often with Hao Zhou, Lei Li, Weinan Zhang.

2 papers in our library · 2019–2021

OpenAlex · ORCID · h-index 13 · 50 works · 776 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 169 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #3677

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

🏢MeituanBeijing · China2025–2026 · 2 paperscurrent🎓Shanghai Jiao Tong UniversityShanghai · China2008–2021 · 28 papers🎓Beijing University of Posts and TelecommunicationsBeijing · China2009–2017 · 6 papers🎓Shanghai UniversityShanghai · China2012–2014 · 3 papers🎓University of California, Santa BarbaraSanta Barbara · United States2021 · 2 papers🎓Nagoya UniversityNagoya · Japan1999–2001 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The 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 workInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workMachine translation · 1 work

 Works by year

2020s

20211 paperGlancing Transformer for Non-Autoregressive Neural Machine Translation

2010s

20191 paperDynamically Fused Graph Network for Multi-hop Reasoning

 Papers

The most cited first (OpenAlex and our library).

  1. Dynamically Fused Graph Network for Multi-hop Reasoning (2019 · 237 citations)
    Multi-hop text-based QA requires combining evidence spread across several documents, many of which are irrelevant.
  2. Glancing Transformer for Non-Autoregressive Neural Machine Translation (2021 · 180 citations)
    Non-autoregressive translation (NAT) models emit all target tokens at once, which makes them fast. However, they assume target words are independent given the source, so they translate noticeably worse than the autoregressive Transformer. Iterative fixes such as Mask-Predict recover quality but need several decoding…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Dynamically Fused Graph Network for Multi-hop ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lin Qiu, Yunxuan Xiao, Yanru Qu, et al.2019 · 237 citations
  2. Glancing Transformer for Non-Autoregressive Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Lihua Qian, Hao Zhou, Yu Bao, et al.2021 · 180 citations
  3. Exploring Diverse Expressions for Paraphrase GenerationProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · original ↗ · no summary yetLihua Qian et al.2019 · 72 citations
  4. Attribution-Based Analysis and Optimization of Modular Agentic WorkflowsFindings of the Association for Computational Linguistics: ACL 2026 · original ↗ · no summary yetYingxuan Yang et al.2026

 Co-authors here

6 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 169 times (of the 141,840 papers whose bibliographies we read); 11 citing papers with a page here →.

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