--- title: "Sheng Wang — author profile and papers — Elamur Research" description: "Sheng Wang, University of Washington: 2 papers on Elamur Research (2023–2026), h-index 15 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/sheng-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sheng-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sheng Wang # Sheng Wang Sheng Wang 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Aldo Lipani](https://md.research.elamur.ai/free/en/authors/aldo-lipani/), [Baobao Chang](https://md.research.elamur.ai/free/en/authors/baobao-chang/), [Bin Wu](https://md.research.elamur.ai/free/en/authors/bin-wu/). 2 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5048356362) · [ORCID](https://orcid.org/0000-0002-0439-5199) · [Wikidata](https://www.wikidata.org/wiki/Q130801328) · [**h-index 15**](https://openalex.org/authors/A5048356362) · [60 works](https://openalex.org/works?filter=author.id:A5048356362) · [1,878 citations](https://openalex.org/works?filter=author.id:A5048356362&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sheng-wang/#papers) · [🔗 Cited 139 times in our library](https://md.research.elamur.ai/free/en/authors/sheng-wang/cited-by/) · [13 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8827](https://md.research.elamur.ai/free/en/paper-stars/page/89/#star-8827) 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=Sheng+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sheng+Wang) · [dblp](https://dblp.org/search?q=Sheng+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Sheng+Wang) ## Affiliations [🎓**University of Washington** Seattle · United States 2020–2026 · 98 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2014–2019 · 20 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Stanford University** Stanford · United States 2019–2022 · 11 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of California, San Francisco** San Francisco · United States 2018–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-san-francisco/) · [🏢**Microsoft** Redmond · United States 2024–2026 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Peking University** Beijing · China 2013–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏥**Stanford Medicine** Stanford · United States 2022 · 2 papers](https://md.research.elamur.ai/free/en/hospitals/stanford-medicine/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 · 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/sheng-wang/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/sheng-wang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning](https://md.research.elamur.ai/free/en/papers/zhao-2023-mmicl-empowering-vision-language-model/)** *(2023 · 58 citations)* Most vision-language models (VLMs) built on large language models handle prompts with a single image well. 2. **[Mitigating Context Interference for Reliable and Efficient Search Agents](https://md.research.elamur.ai/free/en/papers/xue-2026-mitigating-context-interference-reliable-efficient/)** *(2026)* Multi-turn LLM search agents repeatedly query a retriever and add the returned documents to their working context. ## All works 15 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 whole-slide foundation model for digital pathology from real-world data ↗](https://doi.org/10.1038/s41586-024-07441-w) Nature · no summary yet**Hanwen Xu et al.*2024 · 904 citations* 2. **[A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs ↗](https://doi.org/10.1056/aioa2400640) NEJM AI · no summary yet**Sheng Zhang et al.*2024 · 280 citations* 3. **[BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs ↗](https://arxiv.org/abs/2303.00915) arXiv (Cornell University) · no summary yet**Sheng Zhang et al.*2023 · 146 citations* 4. **[A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities ↗](https://doi.org/10.1038/s41592-024-02499-w) Nature Methods · no summary yet**Theodore Zhao et al.*2024 · 110 citations* 5. **[Leveraging the Cell Ontology to classify unseen cell types ↗](https://doi.org/10.1038/s41467-021-25725-x) Nature Communications · no summary yet**Sheng Wang et al.*2021 · 65 citations* 6. [**MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning arXiv:2309.07915**Haozhe Zhao, Zefan Cai, Shuzheng Si, et al.*2023 · 58 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-mmicl-empowering-vision-language-model/) 7. **[Multimodal AI generates virtual population for tumor microenvironment modeling ↗](https://doi.org/10.1016/j.cell.2025.11.016) Cell · no summary yet**Jeya Maria Jose Valanarasu et al.*2025 · 57 citations* 8. **[Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation ↗](https://doi.org/10.1038/s41467-025-58344-x) arXiv:2403.08002 · Nature Communications volume 16, Article number: 3108 (2025) · no summary yet**Juan Manuel Zambrano Chaves et al.*2024 · 57 citations* 9. **[Multilingual translation for zero-shot biomedical classification using BioTranslator ↗](https://doi.org/10.1038/s41467-023-36476-2) Nature Communications · no summary yet**Hanwen Xu et al.*2023 · 31 citations* 10. **[BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once ↗](https://arxiv.org/abs/2405.12971) arXiv (Cornell University) · no summary yet**Theodore Zhao et al.*2024 · 7 citations* 11. **[BiomedParse-V: Scaling Foundation Model for Universal Text-Guided Volumetric Biomedical Image Segmentation ↗](https://doi.org/10.1007/978-3-032-23496-4_7) Lecture notes in computer science · no summary yet**Theodore Zhao et al.*2026 · 2 citations* 12. **[GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis ↗](https://arxiv.org/abs/2607.18218) arXiv:2607.18218 · no summary yet**Naoto Usuyama et al.*2026 · 1 citation* 13. **[T-Rex: Text-assisted Retrosynthesis Prediction ↗](https://arxiv.org/abs/2401.14637) arXiv (Cornell University) · no summary yet**Yifeng Liu et al.*2024 · 1 citation* 14. **[Mitigating Context Interference for Reliable and Efficient Search Agents](https://md.research.elamur.ai/free/en/papers/xue-2026-mitigating-context-interference-reliable-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boyang Xue, Bin Wu, Shuofei Qiao, et al.*2026* 15. **[BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction ↗](https://arxiv.org/abs/2302.06860) arXiv (Cornell University) · no summary yet**Yang, Cai et al.*2023* ## Co-authors here 12 of 18 co-authors with a page, the most papers together first. - [Aldo Lipani](https://md.research.elamur.ai/free/en/authors/aldo-lipani/) - [Baobao Chang](https://md.research.elamur.ai/free/en/authors/baobao-chang/) - [Bin Wu](https://md.research.elamur.ai/free/en/authors/bin-wu/) - [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/) - [Emine Yilmaz](https://md.research.elamur.ai/free/en/authors/emine-yilmaz/) - [Haozhe Zhao](https://md.research.elamur.ai/free/en/authors/haozhe-zhao/) - [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/) - [Jeff Z. Pan](https://md.research.elamur.ai/free/en/authors/jeff-z-pan/) - [Kaikai An](https://md.research.elamur.ai/free/en/authors/kaikai-an/) - [Kam-Fai Wong](https://md.research.elamur.ai/free/en/authors/kam-fai-wong/) - [Liang Chen](https://md.research.elamur.ai/free/en/authors/liang-chen/) - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Nature Communications ×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/) - Cell - Lecture notes in computer science - NEJM AI - Nature - Nature Methods ## Cited by Papers of our library cite their works 139 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sheng-wang/cited-by/). Updated 2 November 2026