Scholar

Jianing (Jed) Yang

Google Scholar ID: -b3v9LsAAAAJ

Ph.D. Student, University of Michigan

Embodied AINatural Language ProcessingRobotics3D Computer VisionMachine Learning

Citations & Impact

All-time

Citations

545

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

16 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Paper 'LIFT-GS' accepted to ICML 2025.
Papers 'Fast3R' and '3D-GRAND' accepted to CVPR 2025; Fast3R achieves 251 FPS 3D reconstruction from 1000+ images in one forward pass, fully open-sourced.
'Multi-object hallucination' accepted to NeurIPS 2024; 'Teachable Reinforcement Learning' accepted to EMNLP 2024.
Led the release of 3D-GRAND, the first million-scale densely-grounded 3D-text dataset, and proposed 3D-POPE benchmark for evaluating 3D-LLM hallucinations.
'LLM-Grounder' accepted to ICRA 2024; preprint featured on arXiv and Hugging Face Daily Papers.
Co-led Team SEAGULL to win 1st place ($500,000) in the inaugural Amazon Alexa Prize SimBot Challenge (2023).

Research Experience

AI Engineer at Figure AI, working on general-purpose humanoid robots.
Research Scientist Intern at Adobe Research (starting Jan. 2025), mentored by Hao Tan, working on 3D reconstruction.
Summer 2025 Intern at Meta FAIR Perception team.
Summer 2024 Research Scientist Intern at Meta Embodied AI team.
Member of SLED Lab during Ph.D. at University of Michigan.
Conducted research on Multimodal NLU, Dataset Bias Analysis, and ML during M.S. at CMU.
Worked as a Software Development Engineer at Amazon Web Services (intern and full-time).

Co-authors

17 total