- NeurIPS 2024: Multi-Object Hallucination in Vision-Language Models
- TMLR: UniCtrl
- ICRA 2024: LLM-Grounder
Conference Reviewer: CVPR 2025, ICLR 2025, ECCV 2024, IEEE Transactions on Big Data
Research Experience
1. Internship at Lambda Labs (2025)
2. Member of SLED lab at the University of Michigan (since Aug. 2022)
Education
1. University of Virginia, Ph.D. Student, advised by Prof. Zezhou Cheng (since 2024)
2. University of Michigan, Master of Computer Science and Engineering, member of SLED lab (specific dates not provided)
3. University of Washington, Bachelor’s degree in Applied and Computational Mathematics Science, worked with Prof. Yunhe Feng on Responsible AI (specific dates not provided)
Background
Research Interests: Scalable approaches to 3D Computer Vision, Language, and Robotics. Currently focusing on developing vision-centric 3D foundational models and grounding language concepts in 3D environments and robotic actions.