Team
World-R1 Team
World-R1 is a collaboration between Microsoft Research and Zhejiang University on reinforcement learning for 3D-consistent text-to-video generation.
Microsoft Research
MSR Asia - Shanghai
MSR Asia - Shanghai develops advanced algorithms and systems for real-world intelligent applications, spanning reinforcement learning and decision making, computer vision, language generation, video systems, cloud gaming infrastructure, efficient cloud-edge AI computing, and emerging World Model technologies.
- Reinforcement learning, decision making, and multimodal intelligence.
- Video systems and visual computing for temporal modeling and scene understanding.
- Efficient AI infrastructure for scalable foundation-model and World Model workloads.
Visit MSR Asia - Shanghai
Zhejiang University
ZIP Lab
ZIP Lab focuses on next-generation efficient AI computing, large language models, multimodal foundation models, and World Model research, exploring how capable models can learn, reason, and generate under practical compute constraints.
- Efficient training, adaptation, and deployment for large-scale foundation models.
- Large language models, multimodal foundation models, and generative World Models.
- Model-system co-design for practical and scalable generative AI research.
Visit ZIP Lab
