--- title: "Yefeng Zheng — author profile and papers — Elamur Research" description: "Yefeng Zheng, Tencent: 2 papers on Elamur Research (2023–2026), h-index 68 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yefeng-zheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yefeng-zheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yefeng Zheng # Yefeng Zheng Yefeng Zheng has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Xian Wu](https://md.research.elamur.ai/free/en/authors/xian-wu/), [Binyang Li](https://md.research.elamur.ai/free/en/authors/binyang-li/), [Chao Zhang](https://md.research.elamur.ai/free/en/authors/chao-zhang/). 2 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5051649145) · [ORCID](https://orcid.org/0000-0003-2195-2847) · [Wikidata](https://www.wikidata.org/wiki/Q130841334) · [**h-index 68**](https://openalex.org/authors/A5051649145) · [558 works](https://openalex.org/works?filter=author.id:A5051649145) · [19,111 citations](https://openalex.org/works?filter=author.id:A5051649145&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yefeng-zheng/#papers) · [🔗 Cited 131 times in our library](https://md.research.elamur.ai/free/en/authors/yefeng-zheng/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4826](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4826) 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=Yefeng+Zheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yefeng+Zheng) · [dblp](https://dblp.org/search?q=Yefeng+Zheng) · [ACL Anthology](https://aclanthology.org/search/?q=Yefeng+Zheng) ## Affiliations [🏢**Tencent** Shenzhen · China 2018–2026 · 301 papersEmployment 2018–2024 · Director, Jarvis Lab*current*](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**Westlake University** Hangzhou · China 2024–2026 · 67 papersEmployment since 2024*current*](https://md.research.elamur.ai/free/en/universities/westlake-university/) · [🏢**Siemens** Princeton · United States 2006–2019 · 96 papersEmployment 2006–2017 · Principal Key Expert, Siemens Corporate Research](https://ror.org/04axb7e79) · [🏢**Tencent Healthcare** Shenzhen · China 2020–2025 · 20 papers](https://ror.org/019xckf23) · [🎓**University of Maryland, College Park** College Park · United States 2001–2006 · 12 papersEducation 2001–2005 · Ph.D., Electrical and Computer Engineering](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) · [🔬**Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie** Illkirch-Graffenstaden · France 2016–2021 · 8 papers](https://ror.org/00k4e5n71) · [🏢**Siemens Healthcare** Malvern · United States 2016–2019 · 7 papers](https://ror.org/054962n91) · [🏢**Siemens** Munich · Germany 2006–2019 · 4 papers](https://ror.org/059mq0909) · [🎓**Sun Yat-sen University** Guangzhou · China 2021–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**Nanjing University** Nanjing · China 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university/) 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 💡 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/yefeng-zheng/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yefeng-zheng/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large Language Models for Generative Information Extraction: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-generative-information/)** *(2023 · 406 citations)* Information extraction (IE) turns raw text into structured knowledge such as entities, relations and events. 2. **[Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-guaranteeing-knowledge-integration-joint-decoding/)** *(2026)* Retrieval-augmented generation often fails at integration rather than retrieval. Even with the right documents, an LLM may fall back on its parametric beliefs or splice facts awkwardly into its reasoning. The authors propose GuarantRAG, which splits generation into explicit stages instead of making the model… ## All works 7 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. **[Large Language Models for Generative Information Extraction: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-generative-information/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Derong Xu, Wei Chen, Wenjun Peng, et al.*2023 · 406 citations* 2. **[Calibrated RGB-D Salient Object Detection ↗](https://doi.org/10.1109/cvpr46437.2021.00935) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Wei Ji et al.*2021 · 276 citations* 3. **[PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction ↗](https://aclanthology.org/2021.acl-long.486/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Hengyi Zheng et al.*2021 · 276 citations* 4. **[X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks ↗](https://doi.org/10.1109/cvpr.2019.01087) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xingde Ying et al.*2019 · 260 citations* 5. **[DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection ↗](https://aclanthology.org/2024.emnlp-main.170/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhihong Zhu et al.*2024 · 9 citations* 6. **[Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words ↗](https://aclanthology.org/2022.coling-1.122/) Proceedings of the 29th International Conference on Computational Linguistics · no summary yet**Haochun Wang et al.*2022 · 3 citations* 7. **[Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-guaranteeing-knowledge-integration-joint-decoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengyi Zhao, Shubo Zhang, Zezhong Wang, et al.*2026* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Xian Wu](https://md.research.elamur.ai/free/en/authors/xian-wu/) ×2 - [Binyang Li](https://md.research.elamur.ai/free/en/authors/binyang-li/) - [Chao Zhang](https://md.research.elamur.ai/free/en/authors/chao-zhang/) - [Derong Xu](https://md.research.elamur.ai/free/en/authors/derong-xu/) - [Enhong Chen](https://md.research.elamur.ai/free/en/authors/enhong-chen/) - [Kam-Fai Wong](https://md.research.elamur.ai/free/en/authors/kam-fai-wong/) - [Shubo Zhang](https://md.research.elamur.ai/free/en/authors/shubo-zhang/) - [Tong Xu](https://md.research.elamur.ai/free/en/authors/tong-xu/) - [Wei Chen](https://md.research.elamur.ai/free/en/authors/wei-chen/) - [Wenjun Peng](https://md.research.elamur.ai/free/en/authors/wenjun-peng/) - [Xiangyu Zhao](https://md.research.elamur.ai/free/en/authors/xiangyu-zhao/) - [Yang Wang](https://md.research.elamur.ai/free/en/authors/yang-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/): [Frontiers of Computer Science 2023](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/2023/) - Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing - Proceedings of the 29th International Conference on Computational Linguistics - Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 131 times (of the 149,439 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yefeng-zheng/cited-by/). Updated 2 November 2026