Junyu Ren
Orcid: 0000-0003-3701-4900
According to our database1,
Junyu Ren authored at least 22 papers
between 2022 and 2026.
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Bibliography
2026
Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis.
CoRR, April, 2026
CoRR, April, 2026
Region-Different Network Reconfiguration in Disjoint Wireless Sensor Networks for Smart Agriculture Monitoring.
ACM Trans. Sens. Networks, March, 2026
CoRR, February, 2026
2025
Global-focal Adaptation with Information Separation for Noise-robust Transfer Fault Diagnosis.
CoRR, October, 2025
Build Your Personalized Research Group: A Multiagent Framework for Continual and Interactive Science Automation.
CoRR, October, 2025
Time-Aware Feature Selection: Adaptive Temporal Masking for Stable Sparse Autoencoder Training.
CoRR, October, 2025
Intell. Converged Networks, 2025
A Hybrid Adaptive Fusion Deep Learning Model for Fault Diagnosis of Rotating Machinery Under Noisy Conditions.
IEEE Access, 2025
Proceedings of the IEEE International Conference on Big Data, 2025
2024
Resource allocation scheduling scheme for task migration and offloading in 6G Cybertwin internet of vehicles based on DRL.
IET Commun., November, 2024
Decentralized Blockchain-Based and Trust-Aware Task Offloading Strategy for Healthcare IoT.
IEEE Internet Things J., January, 2024
Spatio-Temporal Graph Convolutional Network Combined Large Language Model: A Deep Learning Framework for Bike Demand Forecasting.
CoRR, 2024
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
Multi-layer task scheduling and resource allocation schemes considering idle resource and task priority in IoT networks.
IET Commun., December, 2023
Wireless body area networks task offloading method combined with multiple communication and computing resources supported by MEC.
IET Commun., June, 2023
Stacking ensemble learning with heterogeneous models and selected feature subset for prediction of service trust in internet of medical things.
IET Inf. Secur., March, 2023
2022
A novel multidimensional trust evaluation and fusion mechanism in fog-based Internet of Things.
Comput. Networks, 2022
On the Laplacian, the Kirchhoff Index, and the Number of Spanning Trees of the Linear Pentagonal Derivation Chain.
Axioms, 2022
Blockchain-Enabled Federated Learning for UAV Edge Computing Network: Issues and Solutions.
IEEE Access, 2022