Tianbao Yang
Texas A&M University — Computer Science & Engineering (CSE) · Professor, Stephen Horn '79 Engineering Excellence Chair
Research focus: machine learning · optimization for ML · deep learning theory · AI and optimization
针对 Tianbao Yang 的预审审核：构建基于 machine learning、optimization for ML、deep learning theory 的拟合图，并围绕 AUC 及组合优化进行 rag 优化，同时开发可扩展的 AI 优化库；请提交一篇近期论文、一个项目或一个实验室的主题，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
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Use the optimization-for-ML placement trail, then verify current OptMAI advising capacity and whether the target project fits PhD or MS research routes.
- 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。
- 请按照 ML 优化方案进行 ai 位置安排，随后核实当前 OptMAI 的推荐容量，并确认目标项目是否契合 eth 或 MS 研究方向。
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.