Philip S. Yu
University of Illinois Chicago — Computer Science · Distinguished Professor / Wexler Chair
Research focus: data mining · graph mining / graph neural networks · machine learning · big data
手动审核申请准备：构建以 data mining 为基础、结合图学习、推荐系统、社会/医疗保健领域 AI、NLP、大规模 ML 以及异质信息网络的 Philip S. Yu 模型；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
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Very high-signal senior data-mining/graph/AI advisor; applicants should show mature publication-quality work and verify current advising structure in a large senior lab.
- 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）。
- 非常高信号的高级数据挖掘与图学顾问；申请人应展示成熟且高质量的出版物，并核实当前指导结构在大型资深实验室中的适用性。
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
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