Yanjun Qi
University of Virginia — Computer Science (SEAS) · Professor
Research focus: trustworthy deep learning · trustworthy NLP · generative AI · deep learning generalization
保护编号 5 的自动审核：构建围绕 trustworthy deep learning、trustworthy NLP、generative AI、deep learning generalization、ML for genomics and biomedicine 的拟合图谱；请提及一篇近期论文、一个项目、一个实验室主题或一门课程/研究成果，并说明您在第一学期可以启动的一个具体扩展。
Who this advisor fits / 什么情况下适合你
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Use both the research-fit signal and the explicit placement pattern, then verify current advising cadence, funding model, and active recruiting directly.
- 你在意学术教职/教职轨去向，公开校友里有可核对的教职案例。
- 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）。
- 请同时结合研究契合信号与显式放置模式，并核实当前指导节奏、资助模式及主动招募情况。
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
The thing applicants say only 师兄师姐 can tell you — current & former students of this lab, verified by their school .edu. Open the full dossier to read or add a verified note.