Chenyang Wang

Orcid: 0000-0002-0295-3468

Affiliations:
  • Tianjin University, Tianjin, China


According to our database1, Chenyang Wang authored at least 24 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
A Federated Deep Reinforcement Learning-Based Trust Model in Underwater Acoustic Sensor Networks.
IEEE Trans. Mob. Comput., May, 2024

2023
Heterogeneous Edge Caching Based on Actor-Critic Learning With Attention Mechanism Aiding.
IEEE Trans. Netw. Sci. Eng., 2023

Network Slice Mobility for 6G Networks by Exploiting User and Network Prediction.
Proceedings of the IEEE International Conference on Communications, 2023

RIS-Assisted Ad Hoc Edge for Optimal User Distribution in Service-Intensive Scenarios.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Multitask Offloading Strategy Optimization Based on Directed Acyclic Graphs for Edge Computing.
IEEE Internet Things J., 2022

Dynamic Task Allocation and Service Migration in Edge-Cloud IoT System Based on Deep Reinforcement Learning.
IEEE Internet Things J., 2022

Cluster-based content caching driven by popularity prediction.
CCF Trans. High Perform. Comput., 2022

Attention-aided Federated Learning for Dependency-Aware Collaborative Task Allocation in Edge-Assisted Smart Grid Scenarios.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

Deep Reinforcement Learning for Dependency-aware Microservice Deployment in Edge Computing.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Multi-Community Influence Maximization in Device-to-Device social networks.
Knowl. Based Syst., 2021

Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching.
IEEE J. Sel. Areas Commun., 2021

SimEdgeIntel: A open-source simulation platform for resource management in edge intelligence.
J. Syst. Archit., 2021

Anchored User Selection for Traffic Offloading Optimization in D2D-Aided Mobile-Edge Computing.
IEEE Internet Things J., 2021

Neighboring-Aware Caching in Heterogeneous Edge Networks by Actor-Attention-Critic Learning.
Proceedings of the ICC 2021, 2021

2020
Measurement and analysis on large-scale offline mobile app dissemination over device-to-device sharing in mobile social networks.
World Wide Web, 2020

Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching.
IEEE Internet Things J., 2020

Edge Caching Replacement Optimization for D2D Wireless Networks via Weighted Distributed DQN.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Edge Caching for D2D Enabled Hierarchical Wireless Networks with Deep Reinforcement Learning.
Wirel. Commun. Mob. Comput., 2019

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning.
IEEE Netw., 2019

Deep Reinforcement Learning for Cooperative Edge Caching in Future Mobile Networks.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Identifying Influential Users in Mobile Device-to-Device Social Networks to Promote Offline Multimedia Content Propagation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
Q-Learning Based Edge Caching Optimization for D2D Enabled Hierarchical Wireless Networks.
Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018

Edge Caching via Content Offloading in Heterogeneous Mobile Opportunistic Networks.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018


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