Mingyan Liu
University of Michigan CSE · Alice L. Hunt Collegiate Professor of Engineering; Professor, EECS-ECE; Professor (courtesy), EECS-CSE
Research focus: machine learning · online learning · trustworthy AI · security and privacy
针对 Mingyan Liu 的预审审核：需准备针对 ML、online learning、安全与隐私、网络安全风险及网络化系统的交叉领域；这并非通用的 CSE ML 实验室路线。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: machine learning · online learning).
- Best fit for applicants at the intersection of ML, online learning, security/privacy, edge AI, and networked systems who can tolerate a senior, cross-area advising environment.
- 你想把 ML 接到真实数据与落地问题（当前信号：machine learning · online learning）。
- 最适合在 ML、online learning、安全与隐私、边缘 AI 以及网络系统之间交汇的申请人，能够适应资深跨领域指导环境。
What to watch for / 什么情况下要慎重
- You want pure theory ML with little domain data or cross-disciplinary collaboration.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
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。
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