Yingbin Liang
Ohio State University CSE · Professor of Electrical and Computer Engineering; Deputy Director, AI-EDGE Institute
Research focus: machine learning theory · deep learning · large-scale optimization · reinforcement learning
人工审核申请准备：申请人需以 machine-learning 理论为基础，选择 large-scale optimization、deep/RL/continual-learning、信息论、分布式智能或 AI-at-the-edge 类型的申请人。
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).
- Strong fit for applicants in machine learning theory, deep learning, large-scale optimization; verify current advising capacity and the professor's primary appointment before outreach.
- 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）。
- 对于在 machine learning theory、deep learning 和 large-scale optimization 类别中符合条件的申请人，请核实当前导师的咨询安排及主要任职情况，以便提前开展联系工作。
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.