Teahose.
SIGN IN
NEW HERE — WHAT TEAHOSE DOES
We read the entire AI & tech firehose — so you don't have to.
PODPodcastsAll-In, No Priors, Acquired…
NEWNewslettersStratechery, Newcomer…
PAPPapersPhysical AI research
PHProduct Huntdaily launches
VCInvestor ScoutSequoia, a16z, Benchmark…
CLAUDE DISTILLS →
7 reads, 30 sec each — free, 6 AM ET.
+ a live graph of the companies, people & themes underneath.
HOME/PEOPLE/ZITONG YU
// PERSON

Zitong Yu

ROLE CORRESPONDING AUTHORAT GREAT BAY UNIVERSITYMENTIONS 2LAST SEEN MAY 4, 2026
// BIO

Zitong Yu is an Associate Professor of Computer Science at Great Bay University in Dongguan, China, where he leads the YU Vision (YUV) Group. He earned his PhD from the University of Oulu in 2022 and was a postdoctoral researcher at Nanyang Technological University's ROSE Lab. His research focuses on subtle visual computing, computer vision, and biometric security, with notable contributions to face anti-spoofing and remote physiological signal measurement. He is a National High-Level Young Talent (国家优青海外) recipient and has been recognized as a top-2% global scientist by Stanford.

// RECENT MENTIONS
// SIGNALS
2 SIGNALS
01
product·arXiv Physical AI·MAY 4, 2026

Instead of predying what the future looks like, ΔVLA predicts how the world changes — and that shift in framing delivers state-of-the-art manipulation performance at 3x faster training speed than comparable approaches.

Source
02
mention·arXiv Physical AI·MAY 4, 2026

Corresponding author email: yuzitong@gbu.edu.cn (Paper header)

Source

AI-extracted from podcast / newsletter / paper summaries. May contain errors.