--- title: "Lingfei Wu — author profile and papers · Information extraction" description: "Lingfei Wu: 2 papers on Elamur Research (2020–2026), h-index 39 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/lingfei-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lingfei-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lingfei Wu # Lingfei Wu Lingfei Wu has 2 papers in our library, in 2020–2026, most of them on [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Chen Qian](https://md.research.elamur.ai/free/en/authors/chen-qian/), [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/), [Heng Ji](https://md.research.elamur.ai/free/en/authors/heng-ji/). 2 papers in our library · 2020–2026 [OpenAlex](https://openalex.org/A5011825081) · [ORCID](https://orcid.org/0000-0002-3660-651X) · [Wikidata](https://www.wikidata.org/wiki/Q130879957) · [**h-index 39**](https://openalex.org/authors/A5011825081) · [191 works](https://openalex.org/works?filter=author.id:A5011825081) · [5,370 citations](https://openalex.org/works?filter=author.id:A5011825081&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lingfei-wu/#papers) · [🔗 Cited 460 times in our library](https://md.research.elamur.ai/free/en/authors/lingfei-wu/cited-by/) · [9 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3464](https://md.research.elamur.ai/free/en/paper-stars/page/35/#star-3464) 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=Lingfei+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lingfei+Wu) · [dblp](https://dblp.org/search?q=Lingfei+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Lingfei+Wu) ## Affiliations [🏢**IBM** Armonk · United States 2018–2022 · 41 papers](https://md.research.elamur.ai/free/en/companies/ibm/) · [🏢**Jingdong** Beijing · China 2021–2023 · 26 papers](https://md.research.elamur.ai/free/en/companies/jingdong/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2018–2022 · 21 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) · [🏢**Pinterest** San Francisco 2022–2024 · 12 papers](https://ror.org/04m6zg706) · [🎓**William & Mary** Williamsburg · United States 2016–2022 · 12 papers](https://md.research.elamur.ai/free/en/universities/william-mary/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2009–2023 · 7 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Pittsburgh** Pittsburgh · United States 2021–2023 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-pittsburgh/) · [🎓**University of Science and Technology of China** Hefei · China 2009 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Jinan University** Guangzhou · China 2017–2022 · 4 papers](https://md.research.elamur.ai/free/en/universities/jinan-university/) · [🔬**Institute of Intelligent Machines** Hefei · China 2009 · 4 papers](https://ror.org/00w0qep84) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 22 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 2 Research subjects and languages the work is about.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/concepts/information-extraction/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/lingfei-wu/year/2026/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/lingfei-wu/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Joint Neural Model for Information Extraction with Global Features](https://md.research.elamur.ai/free/en/papers/lin-2020-joint-neural-model-information-extraction/)** *(2020 · 602 citations)* Joint neural information extraction systems of the time still labelled each trigger, entity, relation and argument with its own local classifier. 2. **[From “Thinking” to “Justifying”: Aligning High-Stakes Explainability with Professional Communication Standards](https://md.research.elamur.ai/free/en/papers/qian-2026-thinking-justifying-aligning-high-stakes/)** *(2026 · 1 citation)* The paper argues that Chain-of-Thought explanations in high-stakes settings are hard to verify. Because the model reasons before it answers, the reasoning can drift or contain gaps, and the final answer may not match the rationale. The authors borrow from professional writing conventions, namely CREAC from legal… ## All works 11 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. **[A Joint Neural Model for Information Extraction with Global Features](https://md.research.elamur.ai/free/en/papers/lin-2020-joint-neural-model-information-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ying Lin, Heng Ji, Fei Huang, et al.*2020 · 602 citations* 2. **[Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward ↗](https://aclanthology.org/2020.acl-main.457/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Luyang Huang, Lingfei Wu, Lu Wang*2020 · 203 citations* 3. **[Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases ↗](https://aclanthology.org/N19-1299/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Yu Chen, Lingfei Wu, Mohammed J. Zaki*2019 · 143 citations* 4. **[Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus ↗](https://aclanthology.org/N19-1320/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Hongyu Gong et al.*2019 · 135 citations* 5. **[Word Mover's Embedding: From Word2Vec to Document Embedding ↗](https://aclanthology.org/D18-1482/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Lingfei Wu et al.*2018 · 121 citations* 6. **[SQL-to-Text Generation with Graph-to-Sequence Model ↗](https://aclanthology.org/D18-1112/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Kun Xu et al.*2018 · 99 citations* 7. **[Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem ↗](https://aclanthology.org/2020.findings-emnlp.255/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Shucheng Li et al.*2020 · 92 citations* 8. **[Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model ↗](https://aclanthology.org/D18-1110/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Kun Xu et al.*2018 · 87 citations* 9. **[Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning ↗](https://aclanthology.org/2020.emnlp-main.294/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Hanlu Wu et al.*2020 · 68 citations* 10. **[From “Thinking” to “Justifying”: Aligning High-Stakes Explainability with Professional Communication Standards](https://md.research.elamur.ai/free/en/papers/qian-2026-thinking-justifying-aligning-high-stakes/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chen Qian, Yimeng Wang, Yu Chen, et al.*2026 · 1 citation* 11. **[Triples-to-Text Generation with Reinforcement Learning Based Graph-augmented Neural Networks ↗](https://arxiv.org/abs/2111.10545) arXiv:2111.10545 · no summary yet**Hanning Gao et al.*2021 · 1 citation* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Chen Qian](https://md.research.elamur.ai/free/en/authors/chen-qian/) - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Heng Ji](https://md.research.elamur.ai/free/en/authors/heng-ji/) - [Ying Lin](https://md.research.elamur.ai/free/en/authors/ying-lin/) - [Yu Chen](https://md.research.elamur.ai/free/en/authors/yu-chen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing ×4 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/) - Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - Findings of the Association for Computational Linguistics: EMNLP 2020 ## Cited by Papers of our library cite their works 460 times (of the 149,439 papers whose bibliographies we read); [50 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lingfei-wu/cited-by/). Updated 31 October 2026