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Lijun Wu

Lijun Wu has 3 papers in our library, in 2018–2019, most of them on Machine translation; often with Tao Qin, Tie-Yan Liu, Jianhuang Lai.

3 papers in our library · 2018–2019

OpenAlex · ORCID · Wikidata · h-index 28 · 92 works · 2,987 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 483 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #3334

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

🎓Sun Yat-sen UniversityGuangzhou · China2015–2026 · 19 papersEducation 2015–2020 · Ph.D., School of Data and Computer Sciencecurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2024–2026 · 9 papersEmployment since 2024current🏥Sixth Affiliated Hospital of Sun Yat-sen UniversityGuangzhou · China2026 · 1 papercurrent🏢Microsoft Research AsiaBeijing · China2019–2024 · 32 papersEmployment 2020–2024🏢MicrosoftRedmond · United States2020–2025 · 8 papers🎓Beijing Normal UniversityBeijing · China2021–2022 · 4 papers🏢Powerchina Huadong Engineering CorporationHangzhou · China2021–2023 · 3 papers🎓University of Electronic Science and Technology of ChinaChengdu · China2024 · 2 papers🎓Tongji UniversityShanghai · China2023 · 2 papers🎓Zhejiang UniversityHangzhou · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 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 1Research subjects and languages the work is about.Machine translation · 3 works

 Works by year

2010s

20192 papersLijun Wu's papers of 201920181 paperA Study of Reinforcement Learning for Neural Machine Translation

 Papers

The most cited first (OpenAlex and our library).

  1. A Study of Reinforcement Learning for Neural Machine Translation (2018 · 234 citations)
    Reinforcement learning can align NMT training with sequence-level metrics such as BLEU. In practice it is unstable, and most earlier evidence came from shallow RNN models. Lijun Wu and colleagues ran a systematic study of RL for deep Transformer models on large datasets: WMT14 English-German, WMT17 English-Chinese…
  2. Soft Contextual Data Augmentation for Neural Machine Translation (2019 · 172 citations)
    Data augmentation is routine in computer vision but uncommon in neural machine translation. Simple text perturbations such as swapping, dropping or blanking words often distort meaning. Contextual replacement with language-model samples keeps meaning better, but it covers only a small part of the possible variations…
  3. Exploiting Monolingual Data at Scale for Neural Machine Translation (2019 · 102 citations)
    Back translation (BT) is a standard way to use target-language monolingual text in neural machine translation.

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 Study of Reinforcement Learning for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Lijun Wu, Fei Tian, Tao Qin, et al.2018 · 234 citations
  2. Soft Contextual Data Augmentation for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Gao, Jinhua Zhu, Lijun Wu, et al.2019 · 172 citations
  3. Exploiting Monolingual Data at Scale for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Lijun Wu, Yiren Wang, Yingce Xia, et al.2019 · 102 citations
  4. Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also MatterProceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetLijun Wu et al.2018 · 71 citations
  5. MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction FusionProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetQizhi Pei et al.2025 · 10 citations

 Co-authors here

7 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 483 times (of the 141,840 papers whose bibliographies we read); 49 citing papers with a page here →.

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