I am a second-year PhD student in Electrical Engineering at Stanford University, working on robotics. I am advised by Prof. Shuran Song and part of the REALab. Previously, I obtained a B.E. in Automation Engineering and a B.A. in Product Design from Tsinghua University. During my undergrad, I was fortunate to be advised by Prof. Leonidas J. Guibas at Stanford and Prof. Li Yi at Tsinghua University.

Xiaomeng Xu, Huy Ha, Shuran Song
Conference on Robot Learning (CoRL 2024)
MAPoDeL Workshop (CoRL 2024), Best Machine Learning Paper
Assembly Workshop (CoRL 2024), Spotlight Presentation
Website  •   Paper  •   Video  •   Code

TL;DR: Learning to design task-specific manipulators without task-specific training.

Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas
Conference on Computer Vision and Pattern Recognition (CVPR 2023)
Website  •   Paper  •   Video  •   Code

TL;DR: Shaping a NeRF to encode mutual correlations in a scene via aligning Jacobians.

Yun Liu*, Xiaomeng Xu*, Weihang Chen, Haocheng Yuan, He Wang, Jing Xu, Rui Chen, Li Yi
Robotics and Automation Letters (RA-L 2023) with a presentation at ICRA 2024
Paper  •   Video  •   Code

TL;DR: Tactile-enhanced 6D pose tracking of previously unseen in-hand objects.

Xueyi Liu, Xiaomeng Xu, Anyi Rao, Chuang Gan, Li Yi
Conference on Computer Vision and Pattern Recognition (CVPR 2022)
Website  •   Paper  •   Video  •   Code

TL;DR: Improving the generalizability of 3D part segmentation networks by searching for intermediate supervisions.

Guanhong Liu, Tianyu Yu, Zhihao Yao, Haiqing Xu, Yunyi Zhang, Xuhai Xu, Xiaomeng Xu, Mingyue Gao, Qirui Sun, Tingliang Zhang, Haipeng Mi
Multimodal Technologies and Interaction (MTI 2022)
Website  •   Paper

TL;DR: A toolkit that assists artists and enthusiasts in creating thermochromic paintings.