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Jingxi Lu

3 accepted papers

2026

GRAPH NEURAL NETWORKS WITH DIVERSITY-AWARE NEIGHBOR SELECTION AND DYNAMIC MULTI-SCALE FUSION FOR MULTIVARIATE TIME SERIES FORECASTING

ICASSP 2026poster

Recently, numerous deep models have been proposed to enhance the performance of multivariate time series (MTS) forecasting. Among them, Graph Neural Networks (GNNs)-based methods have shown great potential due to their capability to explicitly model inter-variable dependencies. However, these method…

Cited by 0SourcePDFScholar
2026

STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain

RA-L 2026

Bipedal robots have advantages in maneuvering human-centered environments, but face greater failure risk compared to other stable mobile platforms, such as wheeled or quadrupedal robots. While learning-based traversability has been widely studied for these platforms, bipedal traversability has inste

Cited by 1SourcecodeScholar
2026

STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain

ICRA 2026poster

Bipedal robots have advantages in maneuvering human-centered environments, but face greater failure risk compared to other stable mobile plarforms such as wheeled or quadrupedal robots. While learning-based traversability has been widely studied for these platforms, bipedal traversability has instea…