New York University · AI4CE Lab

Ph.D. Candidate in Computer Science

I am a Ph.D. candidate in Computer Science at NYU AI4CE Lab and Center for Robotics and Embodied Intelligence (CREO), advised by Prof. Chen Feng. I'm currently also an Applied Scientist Intern at Amazon FAR. Previously, I obtained my B.Sc. in Honors Mathematics and Data Science from New York University and NYU Shanghai.

My research interests lie at the intersection of robotics, computer vision, and deep learning, with a focus on embodied AI in open-world environments. My research focuses on Universal Navigation, where I aim to build embodied intelligence that can go anywhere that humans can go.

Research Keywords: World modeling, Video Understanding, Digital Twins

2026

• Feb Wanderland and hstar are accepted to CVPR 2026. See you in Denver ⛷️

2025

• Nov Wanderland preprint is released.

• Nov Joining Amazon FAR (Frontier AI and Robotics) as Applied Scientist Intern.

• Feb Joining Waymo as summer 2025 intern.

• Feb CityWalker is accepted to CVPR 2025 — see you in Nashville 🎷

Preprint 2025

Wanderland: Geometrically Grounded Simulation for Open-World Embodied AI

Preprint 2025

Thinking in 360°: Humanoid Visual Search in the Wild

H. Yu*, Y. Han*, X. Zhang, B. Yin, B. Chang, X. Han, X. Liu, J. Zhang, M. Pavone, C. Feng, S. Xie, Y. Li

CVPR 2025

CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos

X. Liu*, J. Li*, Y. Jiang, N. Sujay, Z. Yang, J. Zhang, J. Abanes, J. Zhang, C. Feng

NeurIPS 2024

Multiview Scene Graph

J. Zhang, G. Zhu, S. Li, X. Liu, H. Song, X. Tang, C. Feng

IROS 2024

Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting

X. Liu*, M. Gong*, Q. Fang, H. Xie, Y. Li, H. Zhao, C. Feng

IROS 2024

SSCBench: Monocular 3D Semantic Scene Completion Benchmark

Y. Li*, S. Li*, X. Liu*, M. Gong*, K. Li, N. Chen, Z. Wang, Z. Li, T. Jiang, et al.

CVPR 2023

DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization

C. Chen*, X. Liu*, Y. Li, L. Ding, C. Feng