AI Research · HKUST(GZ)

Tianshuo Xu.

Modeling a world
that keeps moving.

I build generative models that maintain world state and follow physical dynamics, with applications in autonomous driving and embodied intelligence.

I’m a Ph.D. student in Artificial Intelligence at HKUST(GZ), advised by Prof. Yingcong Chen. Previously, I received my bachelor’s and master’s degrees from Xiamen University, advised by Prof. Rongrong Ji.

World modelsAutonomous drivingEmbodied intelligenceVideo generation

01 / Research

Highlighted research.

Persistent memory.
Physically consistent motion.

01NeurIPS 2026

ReMind

Teaching video generators to remember.

A causal video generator with dynamic memory: objects and events keep evolving through camera motion, occlusion, and changes in visibility.

The view disappears.
The world keeps moving.

Eight examples, two chapters. Complete sequences at original speed: visible → hidden → evolved.

Explore all examples ↗
02NeurIPS 2026

Motion Forcing

Controllable motion, consistent physics.

A decoupled framework for robust video generation that separates camera and object control, with applications in driving, rigid-body dynamics, and robotic grasping.

Same scene. Different controls.
Motion follows your intent.

Compare left cut-in + braking with right cut-in. Control inputs stay visible above synchronized results.

Explore all controls ↗

02 / Experience

Research in practice.

Research internships
across industry.

Jan – Sep 2026

Sunnyvale, California

Applied Intuition

Research Intern · Research Team

Developed ReMind to elicit dynamic memory in video diffusion transformers and enable coherent out-of-sight state evolution.

World models

Jan 2024 – Nov 2025

Shenzhen, China

Huawei

Research Intern · Noah’s Ark Lab

Developed Occ-LLM for occupancy forecasting, planning, and scene question answering. Built generative world models for autonomous driving.

Autonomous driving

Nov 2021 – Jun 2023

Beijing, China

MEGVII

Research Intern · Foundation Model Group

Optimized large diffusion models for image synthesis and explored fine-tuning and prompt-tuning for perceptual image super-resolution.

Generative models

03 / Publications

Selected publications.

Full publication list ↗

My name is highlighted. * denotes equal contribution.

8 publications shown

04 / Contact

Let’s talk research.

World models, generative video, and physical intelligence.