Kaiyi Ji
University at Buffalo (SUNY) — Computer Science & Engineering · Assistant Professor
Research focus: optimization for ML · bilevel optimization · federated learning · learning theory
保护项目 2 的预审审核：构建基于优化对 machine 学习的适配图，涵盖联邦/多任务学习、持续学习、PEFT/LoRA 以及 learning theory；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
- Evaluate as a young but high-trajectory optimization-for-ML lab; emphasize theory plus usable ML systems experiments and ask about first PhD placements.
- 评估为年轻且具有高增长潜力的ML实验室；强调理论结合实用ML系统的实验，并询问PhD的首次录用情况。
Public evidence as of 2026-06-10
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