Steve Hanneke
Purdue University CS · Assistant Professor
Research focus: machine learning theory · active learning · semi-supervised learning · transfer learning
手动审核申请准备：构建与machine learning theory、active learning、semi-supervised learning、transfer learning、sample complexity、and statistical learning foundations 相匹配的拟合图表；请提及一个近期论文或项目，并说明您计划在第一个学期启动的一个具体扩展。
Who this advisor fits / 什么情况下适合你
- Good CSRankings-backed Purdue target, but public placement signal is sparse; verify recent PhD outcomes and active recruiting directly.
- 好的，保护级别 1 的 Purdue 目标排名，但公开就业信号稀疏；请核实近期 PhD 的结果以及直接进行招聘。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
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.