Mengye Ren
NYU — Courant Institute CS + Center for Data Science (CDS) · Assistant Professor of CS & DS
Research focus: ML · continual / few-shot learning · self-supervised learning · neuro-inspired AI
保护项目保护 0 的自动审核：构建持续学习和少样本学习的适配图，包括具身学习、表示学习、无监督模型、概念学习和自适应代理。请提及一个近期论文或项目，并说明您可在第一学期启动的一个具体扩展。
Who this advisor fits / 什么情况下适合你
- Good early-career target for applicants with concrete continual/embodied learning projects; benchmark mostly on research fit and current-student conversations.
- 对于具备具体持续/具身学习项目的申请人，推荐目标职业方向为具有研究契合度且对话风格符合课程的学生；主要评估标准在于研究匹配度与课程对话风格。
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。
Ask a verified 学长学姐 / 同校 .edu 认证点评
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