Yunshen Wang — accepted AI-conference papers

2026

OmniXtreme: Breaking the Generality Barrier in High-Dynamic Humanoid Control

Yunshen Wang, Shaohang Zhu, Peiyuan Zhi, Yuhan Li, Jiaxin Li, Yong-Lu Li +4

RSS 2026poster

High-fidelity motion tracking serves as the ultimate litmus test for generalizable, human-level motor skills. However, current policies often hit a “generality barrier”: as motion libraries scale in diversity, tracking fidelity inevitably collapses—especially for real-world deployment of high-dynami…

Cited by 0 Source ↗Scholar ↗

2025

Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving

Yunshen Wang, Yicheng Liu, Tianyuan Yuan, Yucheng Mao, Yingshi Liang, Xiuyu Yang +2

ICRA 2025

Accurately predicting 3D occupancy grids from visual inputs is critical for autonomous driving, but current discriminative methods struggle with noisy data, incomplete observations, and the complex structures inherent in 3D scenes. In this work, we reframe 3D occupancy prediction as a generative mod

Cited by 5 Source ↗Scholar ↗