Ying He
Orcid: 0000-0003-1733-9791Affiliations:
- Shenzhen University, College of Computer Science and Software Engineering, China
- Dalian University of Technology, School of Information and Communication Engineering, China (PhD 2019)
- Carleton University, Department of Systems and Computer Engineering, Ottawa, ON, Canada (former)
According to our database1,
Ying He
authored at least 50 papers
between 2013 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Efficient Resource Allocation for Building the Metaverse with UAVs: A Quantum Collective Reinforcement Learning Approach.
IEEE Wirel. Commun., October, 2023
Efficient Resource Allocation in Multi-UAV Assisted Vehicular Networks With Security Constraint and Attention Mechanism.
IEEE Trans. Wirel. Commun., July, 2023
A Hybrid Driving Decision-Making System Integrating Markov Logic Networks and Connectionist AI.
IEEE Trans. Intell. Transp. Syst., March, 2023
Swarm Evol. Comput., 2023
A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles.
IEEE Netw., 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
A Novel Intrusion Detection Architecture for the Internet of Things (IoT) with Knowledge Discovery and Sharing.
Proceedings of the IEEE Global Communications Conference, 2023
A Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
Meta-Hierarchical Reinforcement Learning (MHRL)-Based Dynamic Resource Allocation for Dynamic Vehicular Networks.
IEEE Trans. Veh. Technol., 2022
Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., 2022
Efficient Resource Allocation for Multi-Beam Satellite-Terrestrial Vehicular Networks: A Multi-Agent Actor-Critic Method With Attention Mechanism.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Cogn. Commun. Netw., 2022
An Efficient Ciphertext-Policy Attribute-Based Encryption Scheme Supporting Collaborative Decryption With Blockchain.
IEEE Internet Things J., 2022
Bift: A Blockchain-Based Federated Learning System for Connected and Autonomous Vehicles.
IEEE Internet Things J., 2022
When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022
$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the IEEE Global Communications Conference, 2022
2021
System Identification Based on Generalized Orthonormal Basis Function for Unmanned Helicopters: A Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., 2021
Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2021
Proceedings of the DIVANet '21: Proceedings of the 11th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, Alicante, Spain, November 22, 2021
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021
A Blockchain-Enabled Federated Learning System with Edge Computing for Vehicular Networks.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021
2020
Trust-Based Social Networks with Computing, Caching and Communications: A Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Sci. Eng., 2020
2019
Buffer-Aware Streaming in Small-Scale Wireless Networks: A Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., 2019
IEEE Commun. Surv. Tutorials, 2019
Ad Hoc Networks, 2019
2018
Secure Social Networks in 5G Systems with Mobile Edge Computing, Caching, and Device-to-Device Communications.
IEEE Wirel. Commun., 2018
Enhancing Video Rate Adaptation With Mobile Edge Computing and Caching in Software-Defined Mobile Networks.
IEEE Trans. Wirel. Commun., 2018
Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., 2018
Integration of Networking, Caching, and Computing in Wireless Systems: A Survey, Some Research Issues, and Challenges.
IEEE Commun. Surv. Tutorials, 2018
Ad Hoc Sens. Wirel. Networks, 2018
Integrated Computing, Caching, and Communication for Trust-Based Social Networks: A Big Data DRL Approach.
Proceedings of the IEEE Global Communications Conference, 2018
2017
Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing.
IEEE Veh. Technol. Mag., 2017
IEEE Trans. Wirel. Commun., 2017
Communication-Based Train Control System Performance Optimization Using Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., 2017
Deep-Reinforcement-Learning-Based Optimization for Cache-Enabled Opportunistic Interference Alignment Wireless Networks.
IEEE Trans. Veh. Technol., 2017
IEEE Commun. Surv. Tutorials, 2017
Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach.
IEEE Commun. Mag., 2017
Video Rate Adaptation and Traffic Engineering in Mobile Edge Computing and Caching-Enabled Wireless Networks.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017
Resource Allocation in Software-Defined and Information-Centric Vehicular Networks with Mobile Edge Computing.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017
Deep Reinforcement Learning (DRL)-based Resource Management in Software-Defined and Virtualized Vehicular Ad Hoc Networks.
Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent VehicularNetworks and Applications, 2017
Energy-efficient resource allocation in software-defined mobile networks with mobile edge computing and caching.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017
Optimization of cache-enabled opportunistic interference alignment wireless networks: A big data deep reinforcement learning approach.
Proceedings of the IEEE International Conference on Communications, 2017
A Big Data Deep Reinforcement Learning Approach to Next Generation Green Wireless Networks.
Proceedings of the 2017 IEEE Global Communications Conference, 2017
2016
2014
Spectrum-efficient topology management of asymmetric interference alignment networks.
Proceedings of the 2014 IEEE/CIC International Conference on Communications in China, 2014
2013
Performance improvements of interference alignment with multiuser diversity in cognitive radio networks.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2013