Zuxuan Wu
Prominent researcher in efficient deep learning and video understanding at Fudan University.
“Tianyi Lu, Hui Zhang, Zijie Diao, Junke Wang, Shengqi Xu, Xing Lin, Guojin Zhong, Ziyi Ye, Peng Wang, Zuxuan Wu, et al.”
Source→“VLA-Pro stores task-specific LoRA adapters as parameterized procedural memories during training. At inference time, VLA-Pro retrieves relevant procedural memories based on the current multi-modal context and dynamically fuses these memories for generating the current action chunk.”
Source→“His involvement suggests the efficiency angle of LoRA-based memory (small, modular adapters vs. full fine-tunes) is a deliberate architectural choice informed by efficient ML principles, not just a pragmatic shortcut.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.