Leilei Wang — accepted AI-conference papers

2026

ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation

Weize Xie, Yi Ding, Ying He, Leilei Wang, Binwen Bai, Zheyi Zhao +2

AAAI 2026technical

Diffusion strategies have advanced visual motor control by progressively denoising high-dimensional action sequences, providing a promising method for robot manipulation. However, as task complexity increases, the success rate of existing baseline models decreases considerably. Analysis indicates th

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2025

Subgraph Invariant Learning Towards Large-Scale Graph Node Classification

Leilei Wang, Si Shi, Fei Ma, Fei Richard Yu, Pengteng Li, Ying Tiffany He

AAAI 2025technical

Graph Neural Networks (GNNs) have shown efficacy in graph node classification, but face computational challenges on large-scale graphs. Although existing graph reduction methods address these issues, they still require high computational resources and fail to prioritize robust performance on out-of-…

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