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ORCIDF. Richard Yu
Fei Richard Yu
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- affiliation: Carleton University, Ottawa, Canada
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2020 – today
- 2023
[j493]Xinying Chen
, Jianping An, Zehui Xiong, Chengwen Xing, Nan Zhao, F. Richard Yu, Arumugam Nallanathan:
Covert Communications: A Comprehensive Survey. IEEE Commun. Surv. Tutorials 25(2): 1173-1198 (2023)- [j492]Zhaowei Ma, Xiaoming Yuan, Kai Liang, Jie Feng, Li Zhu, Dajun Zhang, F. Richard Yu:
Blockchain-escorted distributed deep learning with collaborative model aggregation towards 6G networks. Future Gener. Comput. Syst. 141: 555-566 (2023) - [j491]Zhijia Zhao, Sentao Cai, Ge Ma, F. Richard Yu:
Vibration Control of an Experimental Flexible Manipulator Against Input Saturation. IEEE CAA J. Autom. Sinica 10(5): 1340-1342 (2023) - [j490]Sun Mao, Lei Liu, Ning Zhang, Jie Hu, Kun Yang, F. Richard Yu, Victor C. M. Leung:
Intelligent Reflecting Surface-Assisted Low-Latency Federated Learning Over Wireless Networks. IEEE Internet Things J. 10(2): 1223-1235 (2023) - [j489]Yuchuan Fu, Changle Li, F. Richard Yu, Tom H. Luan, Pincan Zhao, Sha Liu:
A Survey of Blockchain and Intelligent Networking for the Metaverse. IEEE Internet Things J. 10(4): 3587-3610 (2023) - [j488]Dan Wang, Yalu Bai, Gang Huang, Bin Song, F. Richard Yu:
Cache-Aided MEC for IoT: Resource Allocation Using Deep Graph Reinforcement Learning. IEEE Internet Things J. 10(13): 11486-11496 (2023) - [j487]Youshui Lu, Xiaojun Tang, Lei Liu, F. Richard Yu, Schahram Dustdar:
Speeding at the Edge: An Efficient and Secure Redactable Blockchain for IoT-Based Smart Grid Systems. IEEE Internet Things J. 10(14): 12886-12897 (2023) - [j486]Tejasvi Alladi, Ayush Agrawal, Bhavya Gera, Vinay Chamola, F. Richard Yu:
Ambient Intelligence for Securing Intelligent Vehicular Networks: Edge-Enabled Intrusion and Anomaly Detection Strategies. IEEE Internet Things Mag. 6(1): 128-132 (2023) - [j485]Yu Gong, Yifei Wei, F. Richard Yu, Zhu Han:
Slicing-based resource optimization in multi-access edge network using ensemble learning aided DDPG algorithm. J. Commun. Networks 25(1): 1-14 (2023) - [j484]Yongkang Gong, Haipeng Yao, Jingjing Wang, Di Wu, Ni Zhang, F. Richard Yu:
Decentralized Edge Intelligence-Driven Network Resource Orchestration Mechanism. IEEE Netw. 37(2): 270-276 (2023) - [j483]Shuhuan Wen, Xiaohan Lv, F. Richard Yu, Simeng Gong:
Vision-and-Language Navigation Based on Cross-Modal Feature Fusion in Indoor Environment. IEEE Trans. Cogn. Dev. Syst. 15(1): 3-15 (2023) - [j482]Junhui Zhao, Yiwen Nie, Huan Zhang, F. Richard Yu:
A UAV-Aided Vehicular Integrated Platooning Network for Heterogeneous Resource Management. IEEE Trans. Green Commun. Netw. 7(1): 512-521 (2023) - [j481]Yudian Huang, Meng Li, F. Richard Yu, Pengbo Si, Yanhua Zhang:
Performance Optimization for Energy-Efficient Industrial Internet of Things Based on Ambient Backscatter Communication: An A3C-FL Approach. IEEE Trans. Green Commun. Netw. 7(3): 1121-1134 (2023) - [j480]Renchao Xie, Dier Gu, Qinqin Tang, Tao Huang, Fei Richard Yu:
Workflow Scheduling in Serverless Edge Computing for the Industrial Internet of Things: A Learning Approach. IEEE Trans. Ind. Informatics 19(7): 8242-8252 (2023) - [j479]Hao Liang, Li Zhu, F. Richard Yu, Xuan Wang:
A Cross-Layer Defense Method for Blockchain Empowered CBTC Systems Against Data Tampering Attacks. IEEE Trans. Intell. Transp. Syst. 24(1): 501-515 (2023) - [j478]Yuchuan Fu, Changle Li, F. Richard Yu, Tom H. Luan, Yao Zhang:
A Selective Federated Reinforcement Learning Strategy for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 24(2): 1655-1668 (2023) - [j477]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): 3514-3527 (2023) - [j476]Taiyuan Gong, Li Zhu, F. Richard Yu, Tao Tang:
Edge Intelligence in Intelligent Transportation Systems: A Survey. IEEE Trans. Intell. Transp. Syst. 24(9): 8919-8944 (2023) - [j475]Yan Zhou, Jie Guo, Bin Song, Chen Chen, Jianglong Chang, Fei Richard Yu:
Trust-Aware Multi-Task Knowledge Graph for Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 8658-8671 (2023) - [j474]Yongkang Gong, Haipeng Yao, Di Wu, Wanmai Yuan, Tao Dong, F. Richard Yu:
Computation Offloading for Rechargeable Users in Space-Air-Ground Networks. IEEE Trans. Veh. Technol. 72(3): 3805-3818 (2023) - [j473]Kushagra Raina, Tejasvi Alladi, Vinay Chamola, Fei Richard Yu:
Detecting UAV Presence Using Convolution Feature Vectors in Light Gradient Boosting Machine. IEEE Trans. Veh. Technol. 72(4): 4332-4341 (2023) - [j472]Yu Gong, Yifei Wei, Zhiyong Feng, F. Richard Yu, Yan Zhang:
Resource Allocation for Integrated Sensing and Communication in Digital Twin Enabled Internet of Vehicles. IEEE Trans. Veh. Technol. 72(4): 4510-4524 (2023) - [j471]Junhui Zhao, Xiaoke Sun, Xiaoting Ma, Huan Zhang, Fei Richard Yu, Yanlin Hu:
Online Distributed Optimization for Energy-Efficient Computation Offloading in Air-Ground Integrated Networks. IEEE Trans. Veh. Technol. 72(4): 5110-5124 (2023) - [j470]Qi Li, Amiya Nayak, Yibo Zhang, F. Richard Yu:
A Cooperative Recharging-Transmission Strategy in Powered UAV-Aided Terahertz Downlink Networks. IEEE Trans. Veh. Technol. 72(4): 5479-5484 (2023) - [j469]Yang Li, Li Zhu, Jinsong Wu, Hongwei Wang, F. Richard Yu:
Computation Resource Optimization for Large-Scale Intelligent Urban Rail Transit: A Mean-Field Game Approach. IEEE Trans. Veh. Technol. 72(8): 9868-9879 (2023) - [j468]Xuelian Cai, Lingling Zhou, Fan Li, Yuchuan Fu, Pincan Zhao, Changle Li, F. Richard Yu:
An Incentive Mechanism for Vehicular Crowdsensing With Security Protection and Data Quality Assurance. IEEE Trans. Veh. Technol. 72(8): 9984-9998 (2023) - [j467]Zhaoying Wang, Yifei Wei, Zhiyong Feng, F. Richard Yu, Zhu Han:
Resource Management and Reflection Optimization for Intelligent Reflecting Surface Assisted Multi-Access Edge Computing Using Deep Reinforcement Learning. IEEE Trans. Wirel. Commun. 22(2): 1175-1186 (2023) - [j466]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): 4802-4813 (2023) - [j465]Li Chen, Zhiqin Wang, Jiamo Jiang, Yunfei Chen, F. Richard Yu:
Full-Duplex SIC Design and Power Allocation for Dual-Functional Radar-Communication Systems. IEEE Wirel. Commun. Lett. 12(2): 252-256 (2023) - [j464]Yun Wang, Shu Fu, Changhua Yao, Haijun Zhang, Fei Richard Yu:
Caching Placement Optimization in UAV-Assisted Cellular Networks: A Deep Reinforcement Learning-Based Framework. IEEE Wirel. Commun. Lett. 12(8): 1359-1363 (2023) - [c277]Yanjie Dong, Luya Wang, Yuanfang Chi, Xiping Hu, Haijun Zhang, Fei Richard Yu, Victor C. M. Leung:
A Momentum-Based Wireless Federated Learning Acceleration With Distributed Principle Decomposition. ICASSP Workshops 2023: 1-5 - [c276]Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li:
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models. IJCAI 2023: 1813-1821 - [c275]Yan Zhou, Jie Guo, Hao Sun, Bin Song, Fei Richard Yu:
Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation. SIGIR 2023: 1816-1820 - [i40]Gang Hu, Yinglei Teng, Nan Wang, F. Richard Yu:
Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks. CoRR abs/2302.10747 (2023) - [i39]Yanjie Dong, Luya Wang, Yuanfang Chi, Jia Wang, Haijun Zhang, Fei Richard Yu, Victor C. M. Leung, Xiping Hu:
Accelerating Wireless Federated Learning via Nesterov's Momentum and Distributed Principle Component Analysis. CoRR abs/2303.17885 (2023) - [i38]Yan Zhou, Jie Guo, Hao Sun, Bin Song, Fei Richard Yu:
Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation. CoRR abs/2304.11979 (2023) - [i37]Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li:
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models. CoRR abs/2306.05668 (2023) - [i36]Vinay Chamola, Gaurang Bansal, Tridib Kumar Das, Vikas Hassija, Naga Siva Sai Reddy, Jiacheng Wang, Sherali Zeadally, Amir Hussain, F. Richard Yu, Mohsen Guizani, Dusit Niyato:
Beyond Reality: The Pivotal Role of Generative AI in the Metaverse. CoRR abs/2308.06272 (2023) - 2022
- [j463]Ru Huo, Shiqin Zeng, Yuhong Di, Xiangfeng Cheng, Tao Huang, F. Richard Yu, Yunjie Liu:
A Blockchain-Enabled Trusted Identifier Co-Governance Architecture for the Industrial Internet of Things. IEEE Commun. Mag. 60(6): 66-72 (2022) - [j462]Jiewen Hu, Gang Liu, Yongbo Li, Zheng Ma, Wei Wang, Chengchao Liang, F. Richard Yu, Pingzhi Fan:
Off-Network Communications for Future Railway Mobile Communication Systems: Challenges and Opportunities. IEEE Commun. Mag. 60(10): 64-70 (2022) - [j461]Ting Xiong, Ran Zhang, Jiang Liu, Tao Huang, Yunjie Liu, F. Richard Yu:
A blockchain-based and privacy-preserved authentication scheme for inter-constellation collaboration in Space-Ground Integrated Networks. Comput. Networks 206: 108793 (2022) - [j460]Faan Zheng, Qiao Yan, Victor C. M. Leung, F. Richard Yu, Zhong Ming:
HDP-CNN: Highway deep pyramid convolution neural network combining word-level and character-level representations for phishing website detection. Comput. Secur. 114: 102584 (2022) - [j459]Ru Huo, Shiqin Zeng, Zhihao Wang, Jiajia Shang, Wei Chen, Tao Huang, Shuo Wang, F. Richard Yu, Yunjie Liu:
A Comprehensive Survey on Blockchain in Industrial Internet of Things: Motivations, Research Progresses, and Future Challenges. IEEE Commun. Surv. Tutorials 24(1): 88-122 (2022) - [j458]Qinqin Tang, F. Richard Yu, Renchao Xie, Azzedine Boukerche, Tao Huang, Yunjie Liu:
Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges. IEEE Commun. Surv. Tutorials 24(3): 1394-1434 (2022) - [j457]Zhaowei Ma, Li Zhu, Xiantao Jiang, F. Richard Yu, Omair Shafiq, Jeremy James:
A practical solution for blockchain-secured sharing of trustworthy traffic information in vehicular ad hoc networks. Int. J. Sens. Networks 39(1): 18-33 (2022) - [j456]Xiao Bai, Shanzhi Chen, Yan Shi, Chengzhi Liang, Xiaochen Lv, F. Richard Yu:
Detection and defence method of low-rate DDoS attacks in vehicle edge computing network using information metrics. Int. J. Sens. Networks 40(1): 20-33 (2022) - [j455]Wei Li, Xiantao Jiang, Jiayuan Jin, Tian Song, Fei Richard Yu:
Saliency-Enabled Coding Unit Partitioning and Quantization Control for Versatile Video Coding. Inf. 13(8): 394 (2022) - [j454]Yinglei Teng, Lanlin Li, Luona Song, F. Richard Yu, Victor C. M. Leung:
Profit Maximizing Smart Manufacturing Over AI-Enabled Configurable Blockchains. IEEE Internet Things J. 9(1): 346-358 (2022) - [j453]Ning Zhao, Hao Wu, F. Richard Yu, Lifu Wang, Weiting Zhang, Victor C. M. Leung:
Deep-Reinforcement-Learning-Based Latency Minimization in Edge Intelligence Over Vehicular Networks. IEEE Internet Things J. 9(2): 1300-1312 (2022) - [j452]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): 2722-2733 (2022) - [j451]Sixing Yin, F. Richard Yu:
Resource Allocation and Trajectory Design in UAV-Aided Cellular Networks Based on Multiagent Reinforcement Learning. IEEE Internet Things J. 9(4): 2933-2943 (2022) - [j450]Tingting Yang, Ning Zhang, Mai Xu, Mehrdad Dianati, Fei Richard Yu:
Guest Editorial Special Issue on Space-Air-Ground-Integrated Networks for Internet of Vehicles. IEEE Internet Things J. 9(8): 5666-5669 (2022) - [j449]Haotong Cao, Jianbo Du, Haitao Zhao, Daniel Xiapu Luo, Neeraj Kumar, Longxiang Yang, F. Richard Yu:
Toward Tailored Resource Allocation of Slices in 6G Networks With Softwarization and Virtualization. IEEE Internet Things J. 9(9): 6623-6637 (2022) - [j448]Jie Chen, Xiaoxiao Song, Zhichao Huang, Jianqiang Li, Zhaoxia Wang, Chengwen Luo, F. Richard Yu:
On-Site Colonoscopy Autodiagnosis Using Smart Internet of Medical Things. IEEE Internet Things J. 9(11): 8657-8668 (2022) - [j447]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): 12311-12322 (2022) - [j446]Dan Wang, Bin Song, Peng Lin, F. Richard Yu, Xiaojiang Du, Mohsen Guizani:
Resource Management for Edge Intelligence (EI)-Assisted IoV Using Quantum-Inspired Reinforcement Learning. IEEE Internet Things J. 9(14): 12588-12600 (2022) - [j445]Yuanfang Chi, Yanjie Dong, Z. Jane Wang, F. Richard Yu, Victor C. M. Leung:
Knowledge-Based Fault Diagnosis in Industrial Internet of Things: A Survey. IEEE Internet Things J. 9(15): 12886-12900 (2022) - [j444]Xiantao Jiang, F. Richard Yu, Tian Song, Victor C. M. Leung:
Intelligent Resource Allocation for Video Analytics in Blockchain-Enabled Internet of Autonomous Vehicles With Edge Computing. IEEE Internet Things J. 9(16): 14260-14272 (2022) - [j443]Jiang Liu, Xinyuan Zhang, Ran Zhang, Tao Huang, F. Richard Yu:
Reliable and Low-Overhead Clustering in LEO Small Satellite Networks. IEEE Internet Things J. 9(16): 14844-14856 (2022) - [j442]Zhaoxin Yang, Ruizhe Yang, F. Richard Yu, Meng Li, Yanhua Zhang, Yinglei Teng:
Sharded Blockchain for Collaborative Computing in the Internet of Things: Combined of Dynamic Clustering and Deep Reinforcement Learning Approach. IEEE Internet Things J. 9(17): 16494-16509 (2022) - [j441]Chao Fang, Hang Xu, Yihui Yang, Zhaoming Hu, Shanshan Tu, Kaoru Ota, Zheng Yang, Mianxiong Dong, Zhu Han, F. Richard Yu, Yunjie Liu:
Deep-Reinforcement-Learning-Based Resource Allocation for Content Distribution in Fog Radio Access Networks. IEEE Internet Things J. 9(18): 16874-16883 (2022) - [j440]Qinqin Tang, Renchao Xie, Fei Richard Yu, Tianjiao Chen, Ran Zhang, Tao Huang, Yun-Jie Liu:
Distributed Task Scheduling in Serverless Edge Computing Networks for the Internet of Things: A Learning Approach. IEEE Internet Things J. 9(20): 19634-19648 (2022) - [j439]Meng Li, Pan Pei, F. Richard Yu, Pengbo Si, Yu Li, Enchang Sun, Yanhua Zhang:
Cloud-Edge Collaborative Resource Allocation for Blockchain-Enabled Internet of Things: A Collective Reinforcement Learning Approach. IEEE Internet Things J. 9(22): 23115-23129 (2022) - [j438]Liu Yang, Yifei Wei, F. Richard Yu, Zhu Han:
Joint Routing and Scheduling Optimization in Time-Sensitive Networks Using Graph-Convolutional-Network-Based Deep Reinforcement Learning. IEEE Internet Things J. 9(23): 23981-23994 (2022) - [j437]Lei Zhu, Haipeng Yao, Huan Chang, Qinghua Tian, Qi Zhang, Xiangjun Xin, F. Richard Yu:
Adaptive Optics for Orbital Angular Momentum-Based Internet of Underwater Things Applications. IEEE Internet Things J. 9(23): 24281-24299 (2022) - [j436]Yanru Zhang, Chunxiao Jiang, Nguyen Hoang Tran, Shengrong Bu, Fei Richard Yu, Zhu Han:
Insurance Plan for Service Assurance in Cloud Computing Market with Incomplete Information. J. Commun. Inf. Networks 7(1): 11-22 (2022) - [j435]Ran Zhang, Jiang Liu, Fangqi Liu, Tao Huang, Qinqin Tang, Shangguang Wang, F. Richard Yu:
Buffer-Aware Virtual Reality Video Streaming With Personalized and Private Viewport Prediction. IEEE J. Sel. Areas Commun. 40(2): 694-709 (2022) - [j434]Li Chen, Zhiqin Wang, Ying Du, Yunfei Chen, F. Richard Yu:
Generalized Transceiver Beamforming for DFRC With MIMO Radar and MU-MIMO Communication. IEEE J. Sel. Areas Commun. 40(6): 1795-1808 (2022) - [j433]Anirudh Singh, Amit Chougule, Pratik Narang, Vinay Chamola, F. Richard Yu:
Low-Light Image Enhancement for UAVs With Multi-Feature Fusion Deep Neural Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j432]Xinying Chen, Jianping An, Nan Zhao, Chengwen Xing, Daniel B. da Costa, Yonghui Li, F. Richard Yu:
UAV Relayed Covert Wireless Networks: Expand Hiding Range via Drones. IEEE Netw. 36(4): 226-232 (2022) - [j431]Yuzheng Ren, Renchao Xie, F. Richard Yu, Tao Huang, Yunjie Liu:
NFT-Based Intelligence Networking for Connected and Autonomous Vehicles: A Quantum Reinforcement Learning Approach. IEEE Netw. 36(6): 116-124 (2022) - [j430]Meng Li, F. Richard Yu, Pengbo Si, Yanhua Zhang, Yi Qian:
Intelligent Resource Optimization for Blockchain-Enabled IoT in 6G via Collective Reinforcement Learning. IEEE Netw. 36(6): 175-182 (2022) - [j429]Gaurang Bansal, Vinay Chamola, Biplab Sikdar, Fei Richard Yu:
UAV SECaaS: Game-Theoretic Formulation for Security as a Service in UAV Swarms. IEEE Syst. J. 16(4): 6209-6218 (2022) - [j428]Tianjian Dong, Zirui Zhuang, Qi Qi, Jingyu Wang, Haifeng Sun, F. Richard Yu, Tao Sun, Cheng Zhou, Jianxin Liao:
Intelligent Joint Network Slicing and Routing via GCN-Powered Multi-Task Deep Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 8(2): 1269-1286 (2022) - [j427]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): 1552-1565 (2022) - [j426]Hongtao Zhu, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, F. Richard Yu:
Hierarchical Coded Matrix Multiplication in Heterogeneous Multihop Networks. IEEE Trans. Commun. 70(6): 3597-3612 (2022) - [j425]Haoyu Zhang, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu:
Interference Management of Analog Function Computation in Multicluster Networks. IEEE Trans. Commun. 70(7): 4607-4623 (2022) - [j424]Xu Kang, Bin Song, Jie Guo, Zhijin Qin, Fei Richard Yu:
Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems. IEEE Trans. Commun. 70(8): 5181-5192 (2022) - [j423]Yuhua Su, Xiaowei Pang, Shanzhi Chen, Xu Jiang, Nan Zhao, F. Richard Yu:
Spectrum and Energy Efficiency Optimization in IRS-Assisted UAV Networks. IEEE Trans. Commun. 70(10): 6489-6502 (2022) - [j422]Guanhua Chai, Weihua Wu, Qinghai Yang, Runzi Liu, F. Richard Yu:
Learning-Based Resource Allocation for Ultra-Reliable V2X Networks With Partial CSI. IEEE Trans. Commun. 70(10): 6532-6546 (2022) - [j421]Yuzheng Ren, Renchao Xie, Fei Richard Yu, Tao Huang, Yun-Jie Liu:
Green Intelligence Networking for Connected and Autonomous Vehicles in Smart Cities. IEEE Trans. Green Commun. Netw. 6(3): 1591-1603 (2022) - [j420]Weidong Fang, Chunsheng Zhu, F. Richard Yu, Kun Wang, Wuxiong Zhang:
Towards Energy-Efficient and Secure Data Transmission in AI-Enabled Software Defined Industrial Networks. IEEE Trans. Ind. Informatics 18(6): 4265-4274 (2022) - [j419]Dajun Zhang, F. Richard Yu, Ruizhe Yang, Li Zhu:
Software-Defined Vehicular Networks With Trust Management: A Deep Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 23(2): 1400-1414 (2022) - [j418]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): 2727-2738 (2022) - [j417]Xiantao Jiang, F. Richard Yu, Tian Song, Victor C. M. Leung:
Resource Allocation of Video Streaming Over Vehicular Networks: A Survey, Some Research Issues and Challenges. IEEE Trans. Intell. Transp. Syst. 23(7): 5955-5975 (2022) - [j416]Yuchuan Fu, Changle Li, Fei Richard Yu, Tom H. Luan, Yao Zhang:
A Survey of Driving Safety With Sensing, Vehicular Communications, and Artificial Intelligence-Based Collision Avoidance. IEEE Trans. Intell. Transp. Syst. 23(7): 6142-6163 (2022) - [j415]Xiaoqiang Sun, F. Richard Yu, Peng Zhang:
A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs). IEEE Trans. Intell. Transp. Syst. 23(7): 6240-6259 (2022) - [j414]Yuchuan Fu, Changle Li, F. Richard Yu, Tom H. Luan, Yao Zhang:
Hybrid Autonomous Driving Guidance Strategy Combining Deep Reinforcement Learning and Expert System. IEEE Trans. Intell. Transp. Syst. 23(8): 11273-11286 (2022) - [j413]Dajun Zhang, F. Richard Yu, Ruizhe Yang:
Blockchain-Based Multi-Access Edge Computing for Future Vehicular Networks: A Deep Compressed Neural Network Approach. IEEE Trans. Intell. Transp. Syst. 23(8): 12161-12175 (2022) - [j412]Xiaoming Yuan, Jiahui Chen, Ning Zhang, Jianbing Ni, Fei Richard Yu, Victor C. M. Leung:
Digital Twin-Driven Vehicular Task Offloading and IRS Configuration in the Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 23(12): 24290-24304 (2022) - [j411]Mingqian Liu, Jiakun Wang, Nan Zhao, Yunfei Chen, Hao Song, F. Richard Yu:
Radio Frequency Fingerprint Collaborative Intelligent Identification Using Incremental Learning. IEEE Trans. Netw. Sci. Eng. 9(5): 3222-3233 (2022) - [j410]Tianyi Chen, Shengrong Bu, Xue Liu, Jikun Kang, F. Richard Yu, Zhu Han:
Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning. IEEE Trans. Smart Grid 13(1): 715-727 (2022) - [j409]Sixing Yin, Yuqing Li, Yuguang Tian, F. Richard Yu:
Intelligent Reflecting Surface Enhanced Wireless Communications With Deep-Learning-Based Channel Prediction. IEEE Trans. Veh. Technol. 71(1): 1049-1053 (2022) - [j408]Yongkang Gong, Haipeng Yao, Jingjing Wang, Liang Jiang, F. Richard Yu:
Multi-Agent Driven Resource Allocation and Interference Management for Deep Edge Networks. IEEE Trans. Veh. Technol. 71(2): 2018-2030 (2022) - [j407]Junlin Zhang, Nan Zhao, Mingqian Liu, Yunfei Chen, Fengkui Gong, Qinghai Yang, F. Richard Yu:
Transmit Antenna Number Identification for MIMO Cognitive Radio Systems in the Presence of Alpha-Stable Noise. IEEE Trans. Veh. Technol. 71(3): 2798-2808 (2022) - [j406]Qi Li, Amiya Nayak, Xiaoxiang Wang, Dongyu Wang, F. Richard Yu:
A Collaborative Caching-Transmission Method for Heterogeneous Video Services in Cache-Enabled Terahertz Heterogeneous Networks. IEEE Trans. Veh. Technol. 71(3): 3187-3200 (2022) - [j405]Anirudh Srinivasan Chakravarthy, Soumendu Sinha, Pratik Narang, Murari Mandal, Vinay Chamola, F. Richard Yu:
DroneSegNet: Robust Aerial Semantic Segmentation for UAV-Based IoT Applications. IEEE Trans. Veh. Technol. 71(4): 4277-4286 (2022) - [j404]Mengyao Wu, F. Richard Yu, Peter Xiaoping Liu:
Intelligence Networking for Autonomous Driving in Beyond 5G Networks With Multi-Access Edge Computing. IEEE Trans. Veh. Technol. 71(6): 5853-5866 (2022) - [j403]Daosen Zhai, Chen Wang, Ruonan Zhang, Haotong Cao, Fei Richard Yu:
Energy-Saving Deployment Optimization and Resource Management for UAV-Assisted Wireless Sensor Networks With NOMA. IEEE Trans. Veh. Technol. 71(6): 6609-6623 (2022) - [j402]Yuzheng Ren, Renchao Xie, Fei Richard Yu, Tao Huang, Yun-Jie Liu:
Quantum Collective Learning and Many-to-Many Matching Game in the Metaverse for Connected and Autonomous Vehicles. IEEE Trans. Veh. Technol. 71(11): 12128-12139 (2022) - [j401]Yuchen Zhou, Fei Richard Yu, Jian Chen, Bingtao He:
Joint Resource Allocation for Ultra-Reliable and Low-Latency Radio Access Networks With Edge Computing. IEEE Trans. Wirel. Commun. 21(1): 444-460 (2022) - [j400]Zhaoying Wang, Yifei Wei, F. Richard Yu, Zhu Han:
Utility Optimization for Resource Allocation in Multi-Access Edge Network Slicing: A Twin-Actor Deep Deterministic Policy Gradient Approach. IEEE Trans. Wirel. Commun. 21(8): 5842-5856 (2022)