Luwei Li — accepted AI-conference papers

2025

Dataset Distillation via the Wasserstein Metric

Haoyang Liu, Yijiang Li, Tiancheng Xing, Peiran Wang, Vibhu Dalal, Luwei Li +2

ICCV 2025poster

Dataset Distillation (DD) aims to generate a compact synthetic dataset that enables models to achieve performance comparable to training on the full large dataset, significantly reducing computational costs. Drawing from optimal transport theory, we introduce WMDD (Wasserstein Metric-based Dataset D…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2016

Experimental implementation of underactuated potential energy shaping on a powered ankle-foot orthosis

Ge Lv, Hanqi Zhu, Toby Elery, Luwei Li, Robert D. Gregg

ICRA 2016

Traditional control methodologies of rehabilitation orthoses/exoskeletons aim at replicating normal kinematics and thus fall into the category of <i>kinematic control</i>. This control paradigm depends on pre-defined reference trajectories, which can be difficult to adjust between different locomoto

Cited by 18 Source ↗Scholar ↗