3 citations · 4 across the 10 of their papers we have counts for
10 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…
FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction
Kunyu Ni, Lei Cao, Jie He +4
Data preparation pipelines improve data quality in machine learning by transforming raw tables into learning-ready data through sequential cleaning and feature transformation opera…
Enhancing Underwater Images via Adaptive Semantic-aware Codebook Learning
Bosen Lin, Feng Gao, Yanwei Yu +2
Underwater Image Enhancement (UIE) is an ill-posed problem where natural clean references are not available, and the degradation levels vary significantly across semantic regions.…
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…
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.…
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…