Wenhao Zhang
张文豪 · Ph.D. Candidate in Data Science
I am a second-year Ph.D. candidate at the School of Data Science, University of Virginia, where I am fortunate to be advised by Prof. Sheng Li. My research interests lie in vision foundation models and multimodal representation learning, with a focus on data-efficient training and fine-tuning and operator-inspired model design. I am currently working on data-efficient pathology foundation models and trustworthy evaluation of medical vision–language models.
Before joining UVA, I received my M.S. in Artificial Intelligence from Xidian University, advised by Prof. Yuwei Guo, and my B.S. in Computer Science, also from Xidian University.
Call for Papers — P2B @ IEEE BigData 2026
I am serving as a Program Co-Chair of the 1st Workshop on Big Data for Computational Pathology and Multi-Omics: From Pixels to Biomarkers (P2B), held in conjunction with IEEE BigData 2026 in Phoenix, Arizona, December 14–17, 2026. We invite work on whole-slide, region-, and cell-level computational pathology, multimodal and multi-omics learning, foundation models, and translational applications.
Submissions due Oct 29, 2026 (11:59 PM AoE) · Notification Nov 16 · Camera-ready Nov 23 · Full papers up to 10 pages, short papers up to 5 pages (IEEE two-column, single-blind).
Workshop website & full call for papers → · Submission site →
Job Search
I am actively looking for internship opportunities in machine learning and computer vision. If you think I could be a good fit for your team, please feel free to reach out!
News
- Sep 2026Serving as Program Co-Chair of the 1st Workshop on Big Data for Computational Pathology and Multi-Omics (P2B) at IEEE BigData 2026 — the call for papers is open, with submissions due Oct 29.
- Apr 2026Passed my Ph.D. Qualification Exam and advanced to Ph.D. candidacy at the University of Virginia.
- Aug 2025Started my Ph.D. at the School of Data Science, University of Virginia.
Education
- University of Virginia — Ph.D. in Data Science, advised by Prof. Sheng Li2025 – 2029 (expected)
- Xidian University — M.E. in Artificial Intelligence (GPA 90.42/100)2022 – 2025
- Xidian University — B.E. in Computer Science (GPA 3.7/4.0)2018 – 2022
Service
Workshop Organization
- Program Co-Chair, 1st Workshop on Big Data for Computational Pathology and Multi-Omics: From Pixels to Biomarkers (P2B), in conjunction with IEEE BigData 2026, Phoenix, AZ
Reviewing
- Reviewer, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
- Reviewer, ACM International Conference on Multimedia (ACM MM), 2026
- Reviewer, ACL Rolling Review (ARR), May 2026
Beyond Research
Outside the lab, I play rhythm guitar in a band called CUDA — yes, named after that CUDA. The portrait above was taken at Tunnel View, Yosemite, Christmas 2025.