Offloading DNN workload to an edge network for parallel and distributed computing is a promising solution to hosting computation-intensive DNN services. The challenge is how to partition DNN models and to reduce the communication to realize a high-performance multi-edge DNN computing. In this paper, we first propose a...
Weibo Chu, Zhao-Yang Li, Zhiwen Yu et al.· IEEE Transactions on Mobile...· 0 citations
Wireless sensing has emerged as a promising approach for tracking and identification using commodity Internet of Things devices. However, the features derived from a single wireless modality are often fragile to variations in environmental layouts and walking trajectories. Furthermore, most existing studies are based o...
With the increasing heterogeneity of social networks and online interaction systems, generalist graph anomaly detection (GAD) has become essential for identifying abnormal and fraudulent behaviors in complex environments. However, most existing GAD approaches rely heavily on domain-specific semantic alignment, which su...
Xiang-Ping Zheng, Xuan Feng, Bo Wu et al.· Proceedings of the 32nd ACM...· 0 citations
Foundation models place language throughout embodied agents, but its presence does not show what it contributes or how well that contribution is grounded. This survey separates these two questions. We define five non-exclusive functional roles for language: Specification, Embodied Representation, Action Orchestration,...
Yifan Guo, Chenghao Li, Zhu Wang et al.· 0 citations
Logistics Cyber-Physical Systems (LCPS) generate large volumes of regulatory and operational texts that encode early signals of safety risks. Converting short, noisy, and domain-specific records into actionable intelligence is difficult due to industrial semantic drift and the limited auditability of black-box predicto...
Ke Huang, Yan Liu, Bin Guo et al.· Annual International Compute...· 0 citations
Hierarchical Interaction MOdeling for zero-shot generalist GAD enables anomaly detection across diverse graph domains without retraining or access to target-domain supervision by modeling the evolutionary trajectories of node representations across hierarchical structural depths, thereby capturing interaction patterns...
Xiangping Zheng, Xuan Feng, Bo Wu et al.· Proceedings of the 32nd ACM...· 0 citations
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