Renjing Xu
Renjing Xu is an assistant professor at the Hong Kong University of Science and Technology, Guangzhou (HKUST-GZ), where she leads research at the intersection of embodied intelligence, reinforcement learning, and neural rendering. Her work spans humanoid robot locomotion and LLM-based robotic control, 3D Gaussian Splatting and point cloud rendering, spiking neural networks, and vision-language navigation. She completed her PhD at Harvard University (2016–2021) following undergraduate studies at the Australian National University, and has published on topics including humanoid imitation learning, efficient 3D scene reconstruction, and bio-inspired computing.
“human interaction provides a complementary data axis for learning dexterous robot world models”
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