Xiangliang (Lynn) Zhang
University of Notre Dame — Computer Science & Engineering · Leonard C. Bettex Collegiate Professor
Research focus: machine learning · data mining · foundation models and LLMs · robust and trustworthy learning
手动审核申请准备：构建基于 Xiangliang (Lynn) Zhang 的拟合路径，涵盖 machine learning、data mining、foundation models and LLMs、robust and trustworthy learning 和 AI for science；请指定一个近期论文、项目或实验室主题，并阐述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.
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Use the explicit MINE placement trail, then verify advisor-specific fit, funding, current advising load, and active recruiting route directly.
- 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）。
- 请明确 MINE 的放置位置，即 ai，然后验证导师的特定契合度、资金状况、当前指导负荷以及正在进行的招聘渠道。
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.