🤫husshhussh
🤫husshhusshOnePuppy
🤫 celebrates

Qingqing Cao

Apple research scientist on efficient on-device ML systems

EngineeringiOSmacOS
The work

What we are celebrating, specifically.

  • On-device question answering research
  • Efficient Transformer inference papers
  • APIs and systems work in Apple SIML

Apple research scientist on efficient on-device ML systems

Public work celebrated here · current

Why

Why we celebrate them.

Qingqing has spent a career making models cheaper to run where people actually are, from on-device question answering to faster Transformers, now inside Apple's System Intelligence and Machine Learning group. Efficiency research is privacy research, and we are grateful for it.

Sources — their own pages, so you can check us

  • Personal site
  • GitHub
This page is yours

Qingqing Cao, this belongs to you.

We built this from your public work because we think it deserves celebrating. You did not ask us to, so the only fair thing is that you decide what happens to it. Claim it and it is yours to edit. Ask us to change something and we will. Ask us to take it down and it is gone within 72 hours — free, no account needed, and nobody will try to talk you out of it.

Claim or remove this pageEveryone we celebrate