2 citations · 4 across the 9 of their papers we have counts for
10 papers
DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning
Yuxiang Zeng, Kun Xie, Yang Wang +5
Architecture attribute predictors reduce the cost of neural architecture search by estimating accuracy or latency from a small set of evaluated candidates. The key difficulty is th…
LYRA: Label-Free Structural Synchronization and Resource Allocation for UAV Edge Networks
Feng He, Alireza Furutanpey, Paolo Bellavista +4
While deploying hierarchical vision models to process mission-critical tasks, UAV edge systems must adaptively update the models to sustain inference reliability under low-level en…
Collaborative Orbital Edge Intelligence: A Decentralized Paradigm for Energy-Efficient Computing in Space
Yuvraj Sahni, Jiannong Cao, Fu Xiao
In recent years, Low Earth Orbit (LEO) satellites have been increasingly deployed to enable connectivity in remote and disaster-prone areas. Researchers have proposed Orbital Edge…
FOCAL: Filtered On-device Continuous Activity Logging for Efficient Personal Desktop Summarization
Haoran Yin, Zhiyuan Wen, Jiannong Cao +2
Desktop interaction streams provide a continuous, privacy-sensitive record of interleaved user tasks. Transforming these streams into task-organized personal logs on-device faces t…
Enhancing AIGC Service Efficiency with Adaptive Multi-Edge Collaboration in A Distributed System
Changfu Xu, Jianxiong Guo, Jiandian Zeng +4
The Artificial Intelligence Generated Content (AIGC) technique has gained significant traction for producing diverse content. However, existing AIGC services typically operate with…
Time Tells All: Deanonymization of Blockchain RPC Users with Zero Transaction Fee (Extended Version)
Shan Wang, Ming Yang, Yu Liu +5
Remote Procedure Call (RPC) services have become a primary gateway for users to access public blockchains. While they offer significant convenience, RPC services also introduce cri…
Noncontact Multi-Point Vital Sign Monitoring with mmWave MIMO Radar
Wei Ren, Jiannong Cao, Huansheng Yi +4
Multi-point vital sign monitoring is essential for providing detailed insights into physiological changes. Traditional single-sensor approaches are inadequate for capturing multi-p…
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
Haotian Xu, Zhaorui Zhang, Sheng Di +3
Federated learning has been identified as an efficient decentralized training paradigm for scaling the machine learning model training on a large number of devices while guaranteei…
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation
Jiangnan Xia, Yu Yang, Senzhang Wang +3
POI recommendation is practically important to facilitate various Location-Based Social Network services, and has attracted rising research attention recently. Existing works gener…
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
Zhihao Ding, Jieming Shi, Shiqi Shen +4
Graph-level representation learning is important in a wide range of applications. Existing graph-level models are generally built on i.i.d. assumption for both training and testing…