Shaoyi Huang
Stevens Institute of Technology — Computer Science · Assistant Professor
Research focus: efficient machine learning / AI systems · model compression / sparsity · systems for deep learning · LLM efficiency
针对 Shaoyi Huang 的预审审核：构建基于高效机器学习、多系统协同、算法 - 系统协同设计的加速方案，涵盖模型压缩/稀疏化、LLM/Transformer/diffusion 推理加速、隐私保护、chi机器学习用于 EDA，以及大规模ML用于chip 设计；请引用一个可见的项目、实验室主题、招募信号、项目角色、论文领域、资助信号或部署模式，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
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