Qi Li
Iowa State University — Computer Science · Associate Professor
Research focus: data mining · NLP / information extraction · weakly-supervised ML · privacy-preserving ML / truth discovery
对于申请项目 Qi Li 的自制应用程序预训练审计：构建基于 data mining 的拟合参数图，围绕信息提取、弱监督机器学习、数据整合、真相发现、 crowdsourcing、隐私保护 ML 以及基于 chi 的拟合参数学习等任务，引用一个可见的项目、实验室主题、资助/招募信号、课程或论文领域，并提出一个具体的第一学期扩展方案。
Who this advisor fits / 什么情况下适合你
- Use the research-fit evidence first, then verify recent advisor-specific placements, current funding, active recruiting, and program home directly.
- 首先，请优先使用研究契合度证据，随后核实近期导师的具体安置情况、当前资助状态、活跃招募状态以及项目所在地。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
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。
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