--- title: "Lijun Wu · Sun Yat-sen University — author profile and papers" description: "Lijun Wu, Sun Yat-sen University: 3 papers on Elamur Research (2018–2019), h-index 28 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/lijun-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lijun-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lijun Wu # Lijun Wu Lijun Wu has 3 papers in our library, in 2018–2019, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Tao Qin](https://md.research.elamur.ai/free/en/authors/tao-qin/), [Tie-Yan Liu](https://md.research.elamur.ai/free/en/authors/tie-yan-liu/), [Jianhuang Lai](https://md.research.elamur.ai/free/en/authors/jianhuang-lai/). 3 papers in our library · 2018–2019 [OpenAlex](https://openalex.org/A5102750692) · [ORCID](https://orcid.org/0000-0002-3530-590X) · [Wikidata](https://www.wikidata.org/wiki/Q130940040) · [**h-index 28**](https://openalex.org/authors/A5102750692) · [92 works](https://openalex.org/works?filter=author.id:A5102750692) · [2,987 citations](https://openalex.org/works?filter=author.id:A5102750692&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/lijun-wu/#papers) · [🔗 Cited 483 times in our library](https://md.research.elamur.ai/free/en/authors/lijun-wu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3332](https://md.research.elamur.ai/free/en/paper-stars/page/34/#star-3332) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Lijun+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lijun+Wu) · [dblp](https://dblp.org/search?q=Lijun+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Lijun+Wu) ## Affiliations [🎓**Sun Yat-sen University** Guangzhou · China 2015–2026 · 19 papersEducation 2015–2020 · Ph.D., School of Data and Computer Science*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2024–2026 · 9 papersEmployment since 2024*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🏥**Sixth Affiliated Hospital of Sun Yat-sen University** Guangzhou · China 2026 · 1 paper*current*](https://ror.org/005pe1772) · [🏢**Microsoft Research Asia** Beijing · China 2019–2024 · 32 papersEmployment 2020–2024](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🏢**Microsoft** Redmond · United States 2020–2025 · 8 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Beijing Normal University** Beijing · China 2021–2022 · 4 papers](https://md.research.elamur.ai/free/en/universities/beijing-normal-university/) · [🏢**Powerchina Huadong Engineering Corporation** Hangzhou · China 2021–2023 · 3 papers](https://ror.org/03mcefb58) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Tongji University** Shanghai · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/tongji-university/) · [🎓**Zhejiang University** Hangzhou · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Machine translation · 3 works](https://md.research.elamur.ai/free/en/topics/machine-translation/) ## Works by year ### 2010s [**2019** 2 papers Lijun Wu's papers of 2019](https://md.research.elamur.ai/free/en/authors/lijun-wu/year/2019/) · [**2018** 1 paper Lijun Wu's papers of 2018](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Study of Reinforcement Learning for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/)** *(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](https://md.research.elamur.ai/free/en/papers/gao-2019-soft-contextual-data-augmentation-neural/)** *(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](https://md.research.elamur.ai/free/en/papers/wu-2019-exploiting-monolingual-data-scale-neural/)** *(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 Translation](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Fei Tian, Tao Qin, et al.*2018 · 234 citations* 2. **[Soft Contextual Data Augmentation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gao-2019-soft-contextual-data-augmentation-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fei Gao, Jinhua Zhu, Lijun Wu, et al.*2019 · 172 citations* 3. **[Exploiting Monolingual Data at Scale for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2019-exploiting-monolingual-data-scale-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Yiren Wang, Yingce Xia, et al.*2019 · 102 citations* 4. **[Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter ↗](https://aclanthology.org/D18-1396/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Lijun Wu et al.*2018 · 71 citations* 5. **[MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion ↗](https://aclanthology.org/2025.acl-long.367/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Qizhi Pei et al.*2025 · 10 citations* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Tao Qin](https://md.research.elamur.ai/free/en/authors/tao-qin/) ×3 - [Tie-Yan Liu](https://md.research.elamur.ai/free/en/authors/tie-yan-liu/) ×3 - [Jianhuang Lai](https://md.research.elamur.ai/free/en/authors/jianhuang-lai/) ×2 - [Yingce Xia](https://md.research.elamur.ai/free/en/authors/yingce-xia/) ×2 - [Fei Tian](https://md.research.elamur.ai/free/en/authors/fei-tian/) - [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/) - [Yiren Wang](https://md.research.elamur.ai/free/en/authors/yiren-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×3: [EMNLP 2019](https://md.research.elamur.ai/free/en/venues/emnlp/2019/), [EMNLP 2018](https://md.research.elamur.ai/free/en/venues/emnlp/2018/) - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2019](https://md.research.elamur.ai/free/en/venues/acl/2019/) ## 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 →](https://md.research.elamur.ai/free/en/authors/lijun-wu/cited-by/). Updated 24 October 2026