Yi Li
Scholar

Yi Li

Google Scholar ID: MW36lZUAAAAJ
University of Washington
Computer VisionDeep Learning
Citations & Impact
All-time
Citations
15,964
 
H-index
8
 
i10-index
8
 
Publications
10
 
Co-authors
30
list available
Publications
10 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Paper HAMSTER accepted by ICLR 2025; STOW accepted by CoRL 2023; DeepIM accepted as oral by ECCV 2018, selected as one of the 12 best papers at ECCV 2018, with an extended version published in IJCV; Deformable ConvNets accepted by ICCV 2017; FCIS accepted as spotlight by CVPR 2017; R-FCN accepted by NeurIPS 2016; Inst-FCN accepted by ECCV 2016; First prize in MS COCO segmentation challenge 2016; Awarded the National Scholarship (top 0.5% nationwide).
Research Experience
  • Interned at NVIDIA Seattle Robotics Lab, contributing to three projects under the mentorship of Dr. Ankit Goyal, Dr. Kaichun Mo, and Dr. Arsalan Mousavian, advancing multimodal reasoning, vision-language-action (VLA) models, and policy generalization. Also collaborated with Dr. Jifeng Dai and Dr. Kaiming He at Microsoft Research Asia on deep learning and computer vision research.
Education
  • Ph.D. from the University of Washington, advised by Prof. Dieter Fox; M.S. from Tsinghua University, advised by Prof. Xiangyang Ji; B.S. from Tsinghua University.
Background
  • Currently a Member of Technical Staff at xAI, working on the Omni model. Research focuses on developing multi-modal foundation models capable of understanding and interacting with the real world.
Miscellany
  • Invited to give a talk at OpenAI, Google DeepMind, and Bytedance Seed for the HAMSTER project; Invited speaker on humanoid robot cognition, hosted by Bernstein.