Zhaorui Meng — accepted AI-conference papers

2026

Distinguishing Imitation Error from Intrinsic Motion Learning Difficulty

Zhaorui Meng, Lu Yin, Xinrui Chen, Chengxu Zuo, Anjun Chen, Guo Shihui +1

ICML 2026poster

Physics-based motion imitation is central to humanoid control, yet current evaluation metrics(e.g., MPJPE) only quantify imitation outcomes, not their underlying causes. This conflation obscures a critical diagnostic question: when imitation error occurs, does it stem from policy limitations or the …

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2026

Improving Sparse IMU-based Motion Capture with Motion Label Smoothing

Zhaorui Meng, Lu Yin, Yangqing Hou, Anjun Chen, Shihui Guo, Yipeng Qin

AAAI 2026technical

Sparse Inertial Measurement Units (IMUs) based human motion capture has gained significant momentum, driven by the adaptation of fundamental AI tools such as recurrent neural networks (RNNs) and transformers that are tailored for temporal and spatial modeling. Despite these achievements, current res

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