Wei Xu
Wei Xu is a Senior Director of Intelligent Algorithms at ByteDance, based in San Jose, California, where he leads teams working on large model applications and AI agent technologies. He holds a Master's degree in Computer Science from Tsinghua University and previously held engineering leadership roles at VMware, FutureWei, and Cisco. His current work at ByteDance encompasses large foundation models, LLM infrastructure, and dexterous manipulation, including the GR-Dexter VLA model and the ByteDexter robotic hand.
“SiMDex uses only ~1.49M mined samples (<5% of the pool) yet improves the overall success rate from 47.7% to 61.1%”
Source→“Our base model follows GR-Dexter [47], a π0-like flow-matching VLA for dexterous manipulation.”
Source→“ByteDance developed GR-Dexter (the base VLA model used in this paper) and the ByteDexter hand”
Source→“Corresponding author with direct contact email provided (xuwei.robotic@bytedance.com). Leads the dexterous manipulation effort at ByteDance, including GR-Dexter and the ByteDexter hand.”
Source→“ByteDance developed GR-Dexter (the base VLA model used in this paper) and the ByteDexter hand... This paper signals ByteDance is building a full dexterous manipulation stack — hardware, VLA model, and now data curation infrastructure.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.