Xu Cao

Xu Cao

Building AI agents that understand humans — and grow up with children.

I am a CS PhD candidate at the University of Illinois Urbana-Champaign, advised by Prof. James M. Rehg and Prof. Jimeng Sun. My research sits at the intersection of vision-language models, agentic AI, and social embodied AI, with applications spanning AR smart glasses and pediatric foundation models.

Driven by my own history as a pediatric rare-disease patient, I co-founded PediaMed AI to advance AI built specifically for pediatrics and child development — in particular, intelligent agents for the early identification, diagnosis, and treatment of cerebral palsy, autism, developmental disorders, and rare neurodevelopmental diseases.

News

Research — three pillars

01

Agent Learning from Children

Cognitive-learning-inspired Multimodal LLMs: studying how children acquire perception, language, and reasoning to build models that learn the same way.

RepresentativeChronoVision (EMNLP 2026) · CogSense (arXiv) · VCog-Bench (COLM 2025)

02

Social Embodied AI Agents

The core thread of my PhD: agents that perceive non-verbal social cues (gaze, gesture, and emotion) — moving from social perception toward theory of mind, on platforms like AR smart glasses.

Representative GazeAnywhere (CVPR 2026) · SocialGesture (CVPR 2025) · TransGesture (NeurIPS 2025)

03

Pediatric Foundation Models & Healthcare AI

Foundation models for child development and neurodevelopmental disorders, from autism screening to video-based disease progression simulation.

Representative ChildGait (ECCV 2026) · MedDream (CHIL 2026 Best Paper) · AggPose (IJCAI 2022)

Startup

PediaMed AI

With Dr. Meihuan Huang, I co-founded and co-direct a lab of ten researchers building AI for pediatrics and child development — from cognitive multimodal LLMs to AR agents for children. We also run the AI4CHL (ICLR 2025) and CV4CHL (CVPR 2026) workshop series.

We are open to venture investment — feel free to reach out.

Selected publications

All publications →