Road-network trajectory synthesis under local differential privacy (LDP) enables mobility data analysis without uploading raw trajectories to an untrusted server. Existing locally private trajectory synthesis methods mainly model whole trajectories, point sequences, or grid-level mobility patterns. However, they cannot...
Hong-Zhen Xiang, Chen-Xu Wang, Yumeng Song et al.· 0 citations
Memory-based Temporal Graph Neural Networks (M-TGNNs) maintain recursively updated node states to capture fine-grained temporal interactions. However, existing distributed frameworks lack effective mechanisms for managing the temporal data dependencies inherent in these models. As a result, they must enforce strict chr...
Lin-Fang Chen, Zhen Song, Lei Liu et al.· 0 citations
Trajectory planning for autonomous driving requires both high-level reasoning and precise low-level control. Large Language Models (LLMs) offer semantic-rich planning capabilities, however, their application is limited by hallucinated reasoning, poor grounding in environment dynamics, and limited numerical precision in...
Zhihong Cui, Hengyu Liu, Zhang-Kai Wu et al.· 0 citations
FEAT replaces quadratic attention with a multi-layer dual-axis encoding architecture and integrates an adaptive-fusion bidirectional state-space model (AFBM) with convolutional gated linear attention (Conv-GLA), enabling cross-tuple contextualization in O(N) time while supporting permutation-invariant representation le...
Due to their increasingly large volumes, outsourcing of trajectory storage and querying to third-party service providers has become attractive. However, in such outsourced environments, service providers may return incorrect, e.g., incomplete, tampered, or invalid query results, making verifiability of query results an...
Zhong-Ming Yao, Jun-Chang Xin, Yumeng Song et al.· 1 citation
The results show that tool failures can be recognized at the return boundary, but reliable diagnosis requires combining multiple signals, and likelihood-based signals clearly capture incomplete returns and some direct inconsistencies, while action-based signals reveal how strongly a failure changes the next decision.
Jiachen Xu, T. Pedersen, Zhongming Yao et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
