--- title: "Yongkang Wu · Sichuan University — author profile and papers" description: "Yongkang Wu, Sichuan University: 4 papers on Elamur Research (2025–2026), h-index 21 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yongkang-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yongkang-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yongkang Wu # Yongkang Wu Yongkang Wu has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Jiajie Jin](https://md.research.elamur.ai/free/en/authors/jiajie-jin/), [Xiaoxi Li](https://md.research.elamur.ai/free/en/authors/xiaoxi-li/), [Zhicheng Dou](https://md.research.elamur.ai/free/en/authors/zhicheng-dou/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5046536024) · [ORCID](https://orcid.org/0000-0002-7352-3465) · [Wikidata](https://www.wikidata.org/wiki/Q88373241) · [**h-index 21**](https://openalex.org/authors/A5046536024) · [124 works](https://openalex.org/works?filter=author.id:A5046536024) · [1,445 citations](https://openalex.org/works?filter=author.id:A5046536024&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yongkang-wu/#papers) · [🔗 Cited 95 times in our library](https://md.research.elamur.ai/free/en/authors/yongkang-wu/cited-by/) · [⭐ Paper Stars ranking: #7624](https://md.research.elamur.ai/free/en/paper-stars/page/77/#star-7624) 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=Yongkang+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yongkang+Wu) · [dblp](https://dblp.org/search?q=Yongkang+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Yongkang+Wu) ## Affiliations [🏥**West China Hospital of Sichuan University** Chengdu · China 2006–2026 · 58 papers*current*](https://ror.org/007mrxy13) · [🎓**Sichuan University** Chengdu · China 2007–2026 · 51 papers*current*](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🎓**Yangzhou University** Yangzhou · China 2009–2020 · 10 papers](https://md.research.elamur.ai/free/en/universities/yangzhou-university/) · [🏥**West China Medical Center of Sichuan University** Chengdu · China 2008–2024 · 9 papers](https://ror.org/040nggs60) · [🎓**Anhui Medical University** Hefei · China 2023–2025 · 6 papers](https://ror.org/03xb04968) · [🎓**Guangdong Medical College** Zhanjiang · China 2024–2025 · 6 papers](https://ror.org/04k5rxe29) · [🏢**Huawei Technologies** Shenzhen · China 2023–2025 · 4 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Shandong University** Jinan · China 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🎓**Shanghai University of Traditional Chinese Medicine** Shanghai · China 2019–2025 · 4 papers](https://ror.org/00z27jk27) · [🏥**Northern Jiangsu People's Hospital** Yangzhou · China 2017–2020 · 4 papers](https://ror.org/04gz17b59) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yongkang-wu/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/yongkang-wu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[WebThinker: Empowering Large Reasoning Models with Deep Research Capability](https://md.research.elamur.ai/free/en/papers/li-2025-webthinker-empowering-large-reasoning-models/)** *(2025 · 72 citations)* Large reasoning models such as DeepSeek-R1 and QwQ handle long reasoning chains well, but they can only use what they memorized during training. 2. **[Hierarchical Document Refinement for Long-context Retrieval-augmented Generation](https://md.research.elamur.ai/free/en/papers/jin-2025-hierarchical-document-refinement-long-context/)** *(2025 · 25 citations)* Retrieval-augmented generation (RAG) often feeds an LLM very long retrieved documents. These texts carry much irrelevant material, which raises inference cost and lowers answer quality. Existing compressors either target short chunks or rank tokens with crude signals such as perplexity, so they ignore how a document… 3. **[RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation](https://md.research.elamur.ai/free/en/papers/li-2025-retrollm-empowering-large-language-models/)** *(2025 · 19 citations)* RetroLLM targets three weaknesses of standard retrieval-augmented generation (RAG): the cost of running a separate retriever, long inputs padded with redundant retrieved chunks, and the fact that retrieval and generation cannot be optimized together. 4. **[Beyond Noise: Characterizing Creative Potential in Unverifiable LLM Hallucinations](https://md.research.elamur.ai/free/en/papers/yan-2026-beyond-noise-characterizing-creative-potential/)** *(2026)* When LLMs are asked to invent new scientific or technical concepts, many of their outputs cannot be checked against existing evidence. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Jiajie Jin](https://md.research.elamur.ai/free/en/authors/jiajie-jin/) ×3 - [Xiaoxi Li](https://md.research.elamur.ai/free/en/authors/xiaoxi-li/) ×3 - [Zhicheng Dou](https://md.research.elamur.ai/free/en/authors/zhicheng-dou/) ×3 - [Guanting Dong](https://md.research.elamur.ai/free/en/authors/guanting-dong/) ×2 - [Ye Qi](https://md.research.elamur.ai/free/en/authors/ye-qi/) ×2 - [Yutao Zhu](https://md.research.elamur.ai/free/en/authors/yutao-zhu/) ×2 - [Zhonghua Li](https://md.research.elamur.ai/free/en/authors/zhonghua-li/) ×2 - [Hongjin Qian](https://md.research.elamur.ai/free/en/authors/hongjin-qian/) - [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) - [Shujie Wang](https://md.research.elamur.ai/free/en/authors/shujie-wang/) - [Yu Yan](https://md.research.elamur.ai/free/en/authors/yu-yan/) - [Yujia Zhou](https://md.research.elamur.ai/free/en/authors/yujia-zhou/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) ## Cited by Papers of our library cite their works 95 times (of the 149,439 papers whose bibliographies we read); [38 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yongkang-wu/cited-by/). Updated 2 November 2026