Nuanlai Wang
Orcid: 0000-0001-5638-5067
According to our database1,
Nuanlai Wang
authored at least 17 papers
between 2021 and 2025.
Collaborative distances:
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Bibliography
2025
Sustainable Energy-Efficient Multi-Objective Task Processing Based on Edge Computing.
IEEE Trans. Netw. Serv. Manag., August, 2025
Meta Computing-Driven Optimization of AoI in Industrial IoT: A Hybrid Scheme With Self-Organizing Maps and Reinforcement Learning.
IEEE Internet Things J., July, 2025
Vehicle-Edge Collaborative Intelligent Driving Task Processing With Task Complexity and Service Availability Awareness.
IEEE Internet Things J., July, 2025
Optimal Strategy for Task Offloading and Resource Pricing Behavior Based on Blockchain.
IEEE Trans. Consumer Electron., May, 2025
Microservice deployment in cloud-edge environment using enhanced global search grey wolf optimizer-greedy algorithm.
Clust. Comput., April, 2025
IEEE Trans. Netw. Serv. Manag., February, 2025
Multi-Agent DRL-Based Large-Scale Heterogeneous Task Offloading for Dynamic IoT Systems.
IEEE Trans. Netw. Sci. Eng., 2025
Cloud-Edge Collaborative Service Architecture With Large-Tiny Models Based on Deep Reinforcement Learning.
IEEE Trans. Cloud Comput., 2025
Incentive-driven computation offloading and resource pricing strategy in vehicular edge computing assisted with idle mobile vehicles.
Simul. Model. Pract. Theory, 2025
Fed3Scale: A cloud-edge-client tri-scale collaborative semi-supervised hierarchical federated learning framework.
Knowl. Based Syst., 2025
Pixel-level semantic parsing in complex industrial scenarios using large vision-language models.
Inf. Fusion, 2025
2024
Intelligent Driving Task Scheduling Service in Vehicle-Edge Collaborative Networks Based on Deep Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., August, 2024
An efficient scheduling scheme for intelligent driving tasks in a novel vehicle-edge architecture considering mobility and load balancing.
Future Gener. Comput. Syst., 2024
Task offloading with enhanced Deep Q-Networks for efficient industrial intelligent video analysis in edge-cloud collaboration.
Adv. Eng. Informatics, 2024
Device-Edge-Cloud Collaborative Video Stream Processing and Scheduling Strategy Based on Deep Reinforcement Learning.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024
Advanced Image Analysis in Offshore Drilling Surveillance via Edge-Cloud Framework Leveraging Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
2021
A Smart Network Resource Management System for High Mobility Edge Computing in 5G Internet of Vehicles.
IEEE Trans. Netw. Sci. Eng., 2021