Qiman Wu

Qiman Wu is a researcher affiliated with the Foundation Model Team at XPeng Inc., where they serve as a project lead. They are known for their work on Vision Transformer architectures, including contributions to papers such as MixFormer and RTFormer, which address efficient transformer design for visual tasks. Their research focuses on architecture design for transformers, multimodal models, and training efficiency.