3 citations · 4 across the 9 of their papers we have counts for
11 papers
Update for Decisions, Not Freshness: Goal-Oriented Status Updating and Selective Offloading at the Network Edge
Jianpeng Qi, Qiyang Zhang, Chao Liu +5
In an edge--cloud collaborative edge-computing environment, an edge node (EN) must decide whether each user task should be executed locally, forwarded to a remote service (or cloud…
Decision-Aware Semantic State Synchronization in Compute-First Networking
Jianpeng Qi, Chao Liu, Chengrui Wang +3
In Compute-First Networking (CFN), an Access Point (AP) makes task offloading decisions based on resource state information reported by a Service Node (SN). A fundamental challenge…
A Survey on Open-Source Edge Computing Simulators and Emulators: The Computing and Networking Convergence Perspective
Jianpeng Qi, Chao Liu, Xiao Zhang +4
Edge computing, with its low latency, dynamic scalability, and location awareness, along with the convergence of computing and communication paradigms, has been successfully applie…
Efficient Information Updates in Compute-First Networking via Reinforcement Learning with Joint AoI and VoI
Jianpeng Qi, Chao Liu, Chengxiang Xu +3
Timely and efficient dissemination of service information is critical in compute-first networking systems, where user requests arrive dynamically and computing resources are constr…
Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
Zhiyuan Zheng, Jianpeng Qi, Jiantao Li +3
Understanding the dynamic transition of motifs in temporal graphs is essential for revealing how graph structures evolve over time, identifying critical patterns, and predicting fu…
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
Xiang Li, Jianpeng Qi, Haobing Liu +6
Graph Neural Networks (GNNs) have demonstrated impressive performance across diverse graph-based tasks by leveraging message passing to capture complex node relationships. However,…
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
Ziang Yan, Xingyu Zhao, Hanqing Ma +4
With the rise of social media and Location-Based Social Networks (LBSN), check-in data across platforms has become crucial for User Identity Linkage (UIL). These data not only reve…
Scalable Trajectory-User Linking with Dual-Stream Representation Networks
Hao Zhang, Wei Chen, Xingyu Zhao +3
Trajectory-user linking (TUL) aims to match anonymous trajectories to the most likely users who generated them, offering benefits for a wide range of real-world spatio-temporal app…
TPAoI: Ensuring Fresh Service Status at the Network Edge in Compute-First Networking
Haosheng He, Jianpeng Qi, Chao Liu +2
In compute-first networking, maintaining fresh and accurate status information at the network edge is crucial for effective access to remote services. This process typically involv…
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning
Lixian Jing, Jianpeng Qi, Junyu Dong +1
As deep neural networks (DNNs) are increasingly deployed on edge devices, optimizing models for constrained computational resources is critical. Existing auto-pruning methods face…
UMGAD: Unsupervised Multiplex Graph Anomaly Detection
Xiang Li, Jianpeng Qi, Zhongying Zhao +4
Graph anomaly detection (GAD) is a critical task in graph machine learning, with the primary objective of identifying anomalous nodes that deviate significantly from the majority.…