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Sheng Wang

Sheng Wang has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Vision & language; often with Aldo Lipani, Baobao Chang, Bin Wu.

2 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 15 · 60 works · 1,878 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 139 times in our library · 13 more in our library without a page yet · ⭐ Paper Stars ranking: #8827

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of WashingtonSeattle · United States2020–2026 · 98 paperscurrent🎓University of Illinois Urbana-ChampaignUrbana · United States2014–2019 · 20 papers🎓Stanford UniversityStanford · United States2019–2022 · 11 papers🎓University of California, San FranciscoSan Francisco · United States2018–2024 · 4 papers🏢MicrosoftRedmond · United States2024–2026 · 3 papers🎓Peking UniversityBeijing · China2013–2021 · 3 papers🏥Stanford MedicineStanford · United States2022 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning (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 (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 ↗Nature · no summary yetHanwen Xu et al.2024 · 904 citations
  2. A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs ↗NEJM AI · no summary yetSheng Zhang et al.2024 · 280 citations
  3. BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs ↗arXiv (Cornell University) · no summary yetSheng Zhang et al.2023 · 146 citations
  4. A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities ↗Nature Methods · no summary yetTheodore Zhao et al.2024 · 110 citations
  5. Leveraging the Cell Ontology to classify unseen cell types ↗Nature Communications · no summary yetSheng Wang et al.2021 · 65 citations
  6. MMICL: Empowering Vision-language Model with Multi-Modal In-Context LearningarXiv:2309.07915Haozhe Zhao, Zefan Cai, Shuzheng Si, et al.2023 · 58 citations
  7. Multimodal AI generates virtual population for tumor microenvironment modeling ↗Cell · no summary yetJeya Maria Jose Valanarasu et al.2025 · 57 citations
  8. Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation ↗arXiv:2403.08002 · Nature Communications volume 16, Article number: 3108 (2025) · no summary yetJuan Manuel Zambrano Chaves et al.2024 · 57 citations
  9. Multilingual translation for zero-shot biomedical classification using BioTranslator ↗Nature Communications · no summary yetHanwen Xu et al.2023 · 31 citations
  10. BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once ↗arXiv (Cornell University) · no summary yetTheodore Zhao et al.2024 · 7 citations
  11. BiomedParse-V: Scaling Foundation Model for Universal Text-Guided Volumetric Biomedical Image Segmentation ↗Lecture notes in computer science · no summary yetTheodore Zhao et al.2026 · 2 citations
  12. GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis ↗arXiv:2607.18218 · no summary yetNaoto Usuyama et al.2026 · 1 citation
  13. T-Rex: Text-assisted Retrosynthesis Prediction ↗arXiv (Cornell University) · no summary yetYifeng Liu et al.2024 · 1 citation
  14. Mitigating Context Interference for Reliable and Efficient Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Boyang Xue, Bin Wu, Shuofei Qiao, et al.2026
  15. BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction ↗arXiv (Cornell University) · no summary yetYang, Cai et al.2023

 Co-authors here

12 of 18 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

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