Carl Yang
Emory University — Computer Science · Associate Professor
Research focus: graph mining · graph neural networks · knowledge graphs · foundation models
保护编号 5 的自动审核：构建围绕 graph mining、graph neural networks、knowledge graphs、foundation models、AI for healthcare and neuroscience 的拟合图；请提及一篇最近发表的论文、一个项目、一个实验室主题或一门课程/研究作品，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
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Use the research-fit and Emory profile/homepage signal, then verify recent advisor-specific placements, funding model, advising cadence, program home, and active recruiting directly.
- 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）。
- 请结合研究契合度与埃莫里（Emory）的学术主页信号，并核实近期导师的具体项目安排、资助模式、指导节奏、项目主页以及当前招聘情况。
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.