Sheng Li
University of Virginia — Computer Science (SEAS) · Associate Professor / Senior Principal Applied Scientist
Research focus: trustworthy representation learning · causal inference · computer vision · large foundation models
手动应用保护编号 6 的预训练审计：构建基于 trustworthy representation learning、causal inference、computer vision、large foundation models 的拟合图表；请提及一个近期论文或项目，并说明您可在第一学期启动的一个具体扩展。
Who this advisor fits / 什么情况下适合你
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Use the explicit alumni rows as placement evidence, then verify current advising capacity, active recruiting, and cross-appointment logistics directly.
- 工业研究或创业/转化路径对你有吸引力（公开去向里占比不低）。
- 请明确使用校友记录作为安置证据，并核实当前指导机构的指导能力、招聘活动以及跨部门协作计划。
What to watch for / 什么情况下要慎重
- Faculty-only is your sole goal and you want zero industry/translation exposure.
- 你把「教职为唯一目标」且完全不想碰工业/转化网络。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
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