Tianyu Li

Post-training on synthesized safety-critical scenarios can dramatically enhance the reliability of autonomous driving systems, reducing failures in rare but critical events.

RoboNaldo slashes free-kick shot errors by nearly 50% while achieving ball speeds that rival professional soccer players.

Overcome the static train-then-freeze paradigm with a new test-time adaptation framework that significantly improves camouflaged object detection in unseen environments.

Achieve spatially grounded natural language descriptions of urban development with PTNet, a new model that understands change semantics better than existing methods.