activity
20242026
most citedA Survey on Open-Source Edge Computing Simulators and Emulators: The Computing and Networking Convergence Perspective

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.NI2026

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…

cs.NI20251 cited

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…

cs.NI2025

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…

cs.NI2024

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…

cs.LG2024

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.…

cs.LG2024

Multi-Channel Hypergraph Contrastive Learning for Matrix Completion

Xiang Li, Changsheng Shui, Zhongying Zhao +2

Rating is a typical user explicit feedback that visually reflects how much a user likes a related item. The (rating) matrix completion is essentially a rating prediction process, w…