Humphrey Shi
Georgia Tech CS · Professor
Research focus: computer vision · multimodal AI · agentic AI · high-performance AI
手动审核申请准备：作为具有超越小基准的计算机视觉/多模态AI申请人的申请，请按照计算机视觉/多模态类别进行准备。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: computer vision · multimodal AI).
- Applicants should present systems-level multimodal/vision work that can scale: high-performance inference/training, kernels, video/image generation, vision-language alignment, and deployed product con
- 你想把 ML 接到真实数据与落地问题（当前信号：computer vision · multimodal AI）。
- 申请人应展示能够规模化运行的系统级多模态/视觉工作，包括高性能推理/训练、内核开发、视频/图像生成、视觉 - 语言对齐以及部署产品约束。
What to watch for / 什么情况下要慎重
- You want pure theory ML with little domain data or cross-disciplinary collaboration.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
Public evidence as of 2026-06-10
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