Ying He

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 51

Top Topics

Wireless Networks

Autonomous Vehicles

Reinforcement Learning

Top Venues

IEEE Trans. Veh. Technol.

IEEE Internet Things J.

IEEE Commun. Surv. Tutorials

Publications

Longquan Chen, Ying He, F. Richard Yu, Weike Pan, Zhong Ming
A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications. IEEE Trans. Veh. Technol. 73 (6) (2024)
Yuzheng Ren, Renchao Xie, Fei Richard Yu, Ran Zhang, Yuhang Wang, Ying He, Tao Huang
Connected and Autonomous Vehicles in Web3: An Intelligence-Based Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Fei Ma, Yucheng Yuan, Yifan Xie, Hongwei Ren, Ivan Liu, Ying He, Fuji Ren, Fei Richard Yu, Shiguang Ni
Generative Technology for Human Emotion Recognition: A Scope Review. CoRR (2024)
Yufei An, F. Richard Yu, Ying He, Jianqiang Li, Jianyong Chen, Victor C. M. Leung
A Novel Internet of Things Web Attack Detection Architecture Based on the Combination of Symbolism and Connectionism AI. IEEE Internet Things J. 11 (11) (2024)
Jin Zhou, Zhangfan Yang, Ying He, Junkai Ji, Qiuzhen Lin, Jianqiang Li
A novel molecular docking program based on a multi-swarm competitive algorithm. Swarm Evol. Comput. 78 (2023)
Yufei An, F. Richard Yu, Ying He, Jianqiang Li, Jianyong Chen, Victor C. M. Leung
A Novel Intrusion Detection Architecture for the Internet of Things (IoT) with Knowledge Discovery and Sharing. GLOBECOM (2023)
Yan Liu, Ying He, Zhong Ming, F. Richard Yu
A Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions. ECAI (2023)
Yuhang Wang, Ying He, F. Richard Yu, Bin Song, Victor C. M. Leung
Efficient Resource Allocation for Building the Metaverse with UAVs: A Quantum Collective Reinforcement Learning Approach. IEEE Wirel. Commun. 30 (5) (2023)
Yuhang Wang, Ying He, F. Richard Yu, Qiuzhen Lin, Victor C. M. Leung
Efficient Resource Allocation in Multi-UAV Assisted Vehicular Networks With Security Constraint and Attention Mechanism. IEEE Trans. Wirel. Commun. 22 (7) (2023)
Mengyao Wu, F. Richard Yu, Peter Xiaoping Liu, Ying He
A Hybrid Driving Decision-Making System Integrating Markov Logic Networks and Connectionist AI. IEEE Trans. Intell. Transp. Syst. 24 (3) (2023)
Longquan Chen, Ying He, Weike Pan, F. Richard Yu, Zhong Ming
A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles. IEEE Netw. 37 (4) (2023)
Ying He, Ke Huang, Guangzheng Zhang, F. Richard Yu, Jianyong Chen, Jianqiang Li
Bift: A Blockchain-Based Federated Learning System for Connected and Autonomous Vehicles. IEEE Internet Things J. 9 (14) (2022)
Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming
$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing. IJCNN (2022)
Ying He, Haiyan Wang, Yuan Li, Ke Huang, Victor C. M. Leung, F. Richard Yu, Zhong Ming
An Efficient Ciphertext-Policy Attribute-Based Encryption Scheme Supporting Collaborative Decryption With Blockchain. IEEE Internet Things J. 9 (4) (2022)
Nilesh Chakraborty, Yao Chao, Jianqiang Li, Sumit Mishra, Chengwen Luo, Ying He, Jie Chen, Yi Pan
RTT-Based Rogue UAV Detection in IoV Networks. IEEE Internet Things J. 9 (8) (2022)
Longquan Chen, Ying He, Qiang Wang, Weike Pan, Zhong Ming
Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 71 (5) (2022)
Yufei An, Ying He, F. Richard Yu, Jianqiang Li, Jianyong Chen, Victor C. M. Leung
An HTTP Anomaly Detection Architecture Based on the Internet of Intelligence. IEEE Trans. Cogn. Commun. Netw. 8 (3) (2022)
Shen Zhuang, Ying He, F. Richard Yu, Chengxi Gao, Weike Pan, Zhong Ming
When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach. IWQoS (2022)
Sheng Lin, Chao Qiu, Jingchao Tan, Xiaofei Wang, Yajun Yang, Ying He, Jing Jiang
DADEs: 5G Dual-Adaptive Delay-aware and Energy-saving System with Tandem Learning. GLOBECOM (2022)
Ying He, Yuhang Wang, Qiuzhen Lin, Jianqiang Li
Meta-Hierarchical Reinforcement Learning (MHRL)-Based Dynamic Resource Allocation for Dynamic Vehicular Networks. IEEE Trans. Veh. Technol. 71 (4) (2022)
Ying He, Yuhang Wang, F. Richard Yu, Qiuzhen Lin, Jianqiang Li, Victor C. M. Leung
Efficient Resource Allocation for Multi-Beam Satellite-Terrestrial Vehicular Networks: A Multi-Agent Actor-Critic Method With Attention Mechanism. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. IJCAI (2022)
Ying He, Yuhang Wang, Chao Qiu, Qiuzhen Lin, Jianqiang Li, Zhong Ming
Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach. IEEE Internet Things J. 8 (4) (2021)
Ying He, Ke Huang, Guangzheng Zhang, Jianqiang Li, Jianyong Chen, Victor C. M. Leung
A Blockchain-Enabled Federated Learning System with Edge Computing for Vehicular Networks. GLOBECOM (Workshops) (2021)
Hantao Liu, Ying He, F. Richard Yu, Jeremy James
Flexi-Compression: A Flexible Model Compression Method for Autonomous Driving. DIVANet (2021)
Ying He, Yuhang Wang, Qiuzhen Lin, Jianqiang Li, Victor C. Leung
A Fast-adaptive Edge Resource Allocation Strategy for Dynamic Vehicular Networks. ICNP (2021)
Zun Liu, Jianqiang Li, Cheng Wang, F. Richard Yu, Jie Chen, Ying He, Changyin Sun
System Identification Based on Generalized Orthonormal Basis Function for Unmanned Helicopters: A Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 70 (2) (2021)
Ying He, Chengchao Liang, F. Richard Yu, Zhu Han
Trust-Based Social Networks with Computing, Caching and Communications: A Deep Reinforcement Learning Approach. IEEE Trans. Netw. Sci. Eng. 7 (1) (2020)
Yashuang Guo, F. Richard Yu, Jianping An, Kai Yang, Ying He, Victor C. M. Leung
Buffer-Aware Streaming in Small-Scale Wireless Networks: A Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 68 (7) (2019)
Mehdi Sookhak, Helen Tang, Ying He, F. Richard Yu
Security and Privacy of Smart Cities: A Survey, Research Issues and Challenges. IEEE Commun. Surv. Tutorials 21 (2) (2019)
Ying He, F. Richard Yu, Zhexiong Wei, Victor C. M. Leung
Trust management for secure cognitive radio vehicular ad hoc networks. Ad Hoc Networks 86 (2019)
Ying He, F. Richard Yu, Nan Zhao, Hongxi Yin
Secure Social Networks in 5G Systems with Mobile Edge Computing, Caching, and Device-to-Device Communications. IEEE Wirel. Commun. 25 (3) (2018)
Ying He, Zhexiong Wei, Guangzheng Du, Jian Li, Nan Zhao, Hongxi Yin
Securing Cognitive Radio Vehicular Ad Hoc Networks with Fog Computing. Ad Hoc Sens. Wirel. Networks 40 (1-2) (2018)
Ying He, Nan Zhao, Hongxi Yin
Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 67 (1) (2018)
Chen-meng Wang, Ying He, F. Richard Yu, Qianbin Chen, Lun Tang
Integration of Networking, Caching, and Computing in Wireless Systems: A Survey, Some Research Issues, and Challenges. IEEE Commun. Surv. Tutorials 20 (1) (2018)
Fei Richard Yu, Jianmin Liu, Ying He, Pengbo Si, Yanhua Zhang
Virtualization for Distributed Ledger Technology (vDLT). IEEE Access 6 (2018)
Chengchao Liang, Ying He, F. Richard Yu, Nan Zhao
Enhancing Video Rate Adaptation With Mobile Edge Computing and Caching in Software-Defined Mobile Networks. IEEE Trans. Wirel. Commun. 17 (10) (2018)
Ying He, Chengchao Liang, F. Richard Yu, Victor C. M. Leung
Integrated Computing, Caching, and Communication for Trust-Based Social Networks: A Big Data DRL Approach. GLOBECOM (2018)
Chengchao Liang, Ying He, F. Richard Yu, Nan Zhao
Enhancing QoE-Aware Wireless Edge Caching With Software-Defined Wireless Networks. IEEE Trans. Wirel. Commun. 16 (10) (2017)
Chengchao Liang, Ying He, F. Richard Yu, Nan Zhao
Energy-efficient resource allocation in software-defined mobile networks with mobile edge computing and caching. INFOCOM Workshops (2017)
Li Zhu, Ying He, F. Richard Yu, Bin Ning, Tao Tang, Nan Zhao
Communication-Based Train Control System Performance Optimization Using Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 66 (12) (2017)
Ying He, F. Richard Yu, Nan Zhao, Hongxi Yin, Azzedine Boukerche
Deep Reinforcement Learning (DRL)-based Resource Management in Software-Defined and Virtualized Vehicular Ad Hoc Networks. DIVANet@MSWiM (2017)
Ying He, Chengchao Liang, F. Richard Yu, Nan Zhao, Hongxi Yin
Optimization of cache-enabled opportunistic interference alignment wireless networks: A big data deep reinforcement learning approach. ICC (2017)
Ying He, Zheng Zhang, Yanhua Zhang
A Big Data Deep Reinforcement Learning Approach to Next Generation Green Wireless Networks. GLOBECOM (2017)
Chengchao Liang, Ying He, F. Richard Yu, Nan Zhao
Video Rate Adaptation and Traffic Engineering in Mobile Edge Computing and Caching-Enabled Wireless Networks. VTC Fall (2017)
Mehdi Sookhak, F. Richard Yu, Ying He, Hamid Talebian, Nader Sohrabi Safa, Nan Zhao, Muhammad Khurram Khan, Neeraj Kumar
Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing. IEEE Veh. Technol. Mag. 12 (3) (2017)
Ying He, Zheng Zhang, F. Richard Yu, Nan Zhao, Hongxi Yin, Victor C. M. Leung, Yanhua Zhang
Deep-Reinforcement-Learning-Based Optimization for Cache-Enabled Opportunistic Interference Alignment Wireless Networks. IEEE Trans. Veh. Technol. 66 (11) (2017)
Jie Guo, Bin Song, Ying He, Fei Richard Yu, Mehdi Sookhak
A Survey on Compressed Sensing in Vehicular Infotainment Systems. IEEE Commun. Surv. Tutorials 19 (4) (2017)
Ying He, F. Richard Yu, Nan Zhao, Victor C. M. Leung, Hongxi Yin
Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach. IEEE Commun. Mag. 55 (12) (2017)
Ying He, Chengchao Liang, Zheng Zhang, F. Richard Yu, Nan Zhao, Hongxi Yin, Yanhua Zhang
Resource Allocation in Software-Defined and Information-Centric Vehicular Networks with Mobile Edge Computing. VTC Fall (2017)
Ying He, Fei Richard Yu, Nan Zhao, Hongxi Yin, Haipeng Yao, Robert C. Qiu
Big Data Analytics in Mobile Cellular Networks. IEEE Access 4 (2016)
Xinyu Zhang, F. Richard Yu, Ying He, Nan Zhao
Spectrum-efficient topology management of asymmetric interference alignment networks. ICCC (2014)
Ying He, Hongxi Yin, F. Richard Yu, Nan Zhao
Performance improvements of interference alignment with multiuser diversity in cognitive radio networks. WCSP (2013)