Tianyi Zhang

Achieve real-time autonomous driving policy generation with a new flow-matching RL algorithm that slashes inference latency without sacrificing performance.

LLMs can now explore knowledge graphs on their own, discovering better reasoning paths and outperforming even closed-source models on question answering.

Injecting LLM-generated textual descriptions of facial action units into a vision model substantially boosts AU detection performance, suggesting a powerful way to leverage language priors in computer vision.