3 citations · 4 across the 9 of their papers we have counts for
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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.AI2024
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…
cs.LG2024★ 3 cited
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.…