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F. Richard Yu

Fei Richard Yu – Fei Yu 0016 – Richard Yu 0001 – Y. Richard Yu

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affiliation: Carleton University, Department of Systems and Computer Engineering, Ottawa, ON, Canada
affiliation: Canadian Academy of Engineering (CAE), Engineering Institute of Canada, Canada
affiliation: Shenzhen University, College of Computer Science and Software Engineering, China
affiliation (2005-2006): start-up, CA, USA
affiliation (2002-2004): Ericsson in Lund, Sweden
affiliation (PhD 2003): University of British Columbia, Vancouver, BC, Canada

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2026
[j728]
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Gang Liu, Hanli Jiang, Qianqian Zhang, Haifeng Zhang, Rui Yang, Zheng Ma, F. Richard Yu, Pingzhi Fan, George K. Karagiannidis, Ming Xiao:
Integrated Sensing-Positioning-Communication and Application in Smart Railway Systems. IEEE Commun. Mag. 64(9): 61-68 (2026)
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Fucheng Xue, Meichen Gai, Wei Chen, Zijian Tian, Fan Zhang, Zehua Wang, Fei Richard Yu, Victor C. M. Leung:
Generative diffusion-driven AO framework for energy-efficient downlink STAR-RIS aided RSMA systems. Comput. Networks 288: 112650 (2026)
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Changle Li, Mengyuan Dong, Yuchuan Fu, F. Richard Yu, Nan Cheng:
Integrated Sensing, Communication, and Computation for IoV: Challenges and Opportunities. IEEE Commun. Surv. Tutorials 28: 1136-1168 (2026)
[j725]
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Hanan Alahmadi, Fatma Bouabdallah, Ahmed Al-Dubai, Baraq Ghaleb, Amir Hussain, Vinay Chamola, Ammar Hawbani, Liang Zhao, F. Richard Yu:
A Survey on LoRaWAN MAC Schemes: From Conventional Solutions to AI-Driven Protocols. IEEE Commun. Surv. Tutorials 28: 2650-2690 (2026)
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Ying He, Gan Chen, F. Richard Yu, Ming Li, Fei Ma, Guang Zhou:
Restoring neural radiance fields performance under adverse weather conditions. Eng. Appl. Artif. Intell. 176: 114651 (2026)
[j723]
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Xin Hu, Xiantao Jiang, F. Richard Yu:
A Lifelong Intelligence Learning framework for adaptive bitrate control in intelligent video transmission systems. Eng. Appl. Artif. Intell. 182: 115959 (2026)
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Runze Cheng, Xihang Qiu, Ming Li, Ye Zhang, Fei Richard Yu, Chun Li:
Robust Brain Tumor Segmentation with Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer. IEEE CAA J. Autom. Sinica 13(4): 939-954 (2026)
[j721]
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Ying He, F. Richard Yu, Guang Zhou:
DEP-SLAM: a dynamic environment perception SLAM system with large language models. Int. J. Sens. Networks 50(4): 247-259 (2026)
[j720]
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Ying He, Pengshuai Yin, F. Richard Yu, Xinyu Zeng, Zhiquan Liu:
Light-weight monocular depth estimation via transformer-fusion for monocular visual SLAM. Inf. Fusion 126: 103591 (2026)
[j719]
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Feng Yang, Meng Li, Kan Wang, Pengbo Si, Tomoaki Ohtsuki, F. Richard Yu:
Handover Optimization for UAV-Assisted LEO Satellite Networks Based on IPPO and Three-Sided Matching Theory. IEEE Internet Things J. 13(1): 152-166 (2026)
[j718]
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Guoyuan Lin, Jinbing Deng, Wei Chen, Zehua Wang, Na Xu, Fei Richard Yu, Victor C. M. Leung:
Branch-MFA-TDNN: A Parallel Branch Speaker Verification Model for Voice IoT. IEEE Internet Things J. 13(6): 11015-11025 (2026)
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Zhibo Lou, Qingsong Hu, Zehua Wang, Wei Chen, Fei Richard Yu, Victor C. M. Leung:
Signal Recovery and Multisource Localization in Turbulent Molecular Communication With Obstacle Based on the Internet of Nano Things. IEEE Internet Things J. 13(6): 11702-11722 (2026)
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Chuanlei Zhang, Gongcheng Shi, Hongya Li, Ming Yang, Yubo Li, Zhen Bing, Wei Chen, Zehua Wang, Fei Richard Yu, Victor C. M. Leung:
Circuit Board Welding Defect Detection Based on Industrial IoVT. IEEE Internet Things J. 13(7): 14003-14018 (2026)
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Xiaowei Li, Wei Yang, Jiaqi Wu, Zehua Wang, Qichong Tian, Tao Ye, Wei Chen, F. Richard Yu, Victor C. M. Leung:
Real-Time Underground Fire Detection on Coal Mine IoVT Systems: An Edge-Deployed Efficient YOLO-Architecture. IEEE Internet Things J. 13(12): 25809-25826 (2026)
[j714]
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Zishan Xu, Jiansen Zhang, Wei Chen, Xiaofeng Zhang, Jueting Liu, Tingting Xu, Zehua Wang, Fei Richard Yu, Victor C. M. Leung:
MilleniaGuard: An Event-Driven Edge-AI and AIGC-Based IoT System for Ancient Mural Monitoring and Restoration. IEEE Internet Things J. 13(13): 28363-28378 (2026)
[j713]
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Haoyuan Li, Zhenjie Lv, Yuhang Wang, Ying He, Weiwei Fang, Fei Richard Yu:
Joint Service Caching and Computation Offloading in Mobile Edge Networks: A Hierarchical DRL Approach With Active Inference. IEEE Internet Things J. 13(15): 35015-35030 (2026)
[j712]
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Jun Cai, Manshan Mo, Zhongwei Huang, F. Richard Yu:
Fed-GPD: Federated Graph Process Distillation for Anomaly Detection in Lights-Out Manufacturing. IEEE Internet Things J. 13(16): 38036-38048 (2026)
[j711]
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Ting Yu, Shan Pan, Wei Chen, Wenping Bi, Zhijie Li, Zehua Wang, F. Richard Yu, Victor C. M. Leung:
Enhancing Self-Supervised Monocular Depth Estimation via Dual-Branch Local Distillation and Structural Priors. IEEE Internet Things J. 13(17): 38474-38489 (2026)
[j710]
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Chuanlei Zhang, Tingyue Dong, Haifeng Fan, Wei Chen, Zehua Wang, Mingyue Huang, Tao Ye, Qichong Tian, Fei Richard Yu, Victor C. M. Leung:
DPGL-YOLO: Edge-Efficient Tiny-Object Detection for Compound-Eye-Based Industrial IoVT. IEEE Internet Things J. 13(18): 41782-41802 (2026)
[j709]
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Yuchuan Fu, Zhenyu Li, Ruijin Sun, Changle Li, F. Richard Yu, Nan Cheng:
A Predictive Integrated Sensing, Communication, and Computation Over-the-Air Approach for IoV: Optimization and Trade-Off Analysis. IEEE J. Sel. Areas Commun. 44: 278-294 (2026)
[j708]
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Hengzhi Wang, Junjie Mai, Lei Zhang, Laizhong Cui, F. Richard Yu, Jiangchuan Liu:
Toward Double-Layer Data Privacy in Communication-Efficient Hierarchical Federated Learning: A Client Sampling Approach. IEEE J. Sel. Areas Commun. 44: 2158-2172 (2026)
[j707]
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Yuzheng Ren, Liuqi Fan, Haijun Zhang, Fei Richard Yu, Xueyan Cao, Wei Huangfu, Ying He:
Adaptive Modeling Methods for 6G Digital Twin Networks: An Intelligence-Based Reinforcement Learning Approach. IEEE Netw. 40(1): 227-237 (2026)
[j706]
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Pengshuai Yin, Jingqi Zhang, Huichou Huang, Ruirui Liu, Yanxia Liu, Qingyao Wu, F. Richard Yu:
Multimodal self-supervised retinal vessel segmentation. Neural Networks 193: 108011 (2026)
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Tao He, Xin Hu, Tongtong Wu, Dongyang Zhang, Ming Li, Yuan-Fang Li, Fei Richard Yu:
Lifelong scene graph generation. Pattern Recognit. 176: 113132 (2026)
[j704]
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Jun Du, Weiwei Xing, Ming Li, Fei Richard Yu:
VSE-MOT: Multi-object tracking in low-quality video scenes guided by visual semantic enhancement. Pattern Recognit. 180: 114038 (2026)
[j703]
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Zhen Tian, Zhou Zhou, Xia Hua, Keyi Li, F. Richard Yu:
CATER: Causal Adaptive Tracking with Environmental Reasoning. Signal Process. 238: 110169 (2026)
[j702]
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Jianbo Du, Jie Gong, Xiaoli Chu, Zehui Xiong, Xianfu Chen, Mianxiong Dong, F. Richard Yu:
QoE-Guaranteed Optimization in MEC-Enabled Metaverse: An Active Inference Deep Reinforcement Learning Approach. IEEE Trans. Cogn. Commun. Netw. 12: 189-203 (2026)
[j701]
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Yuzheng Ren, Zhijun Lv, Haijun Zhang, Fei Richard Yu, Xueyan Cao, Linpei Li:
Task Chain-Oriented Trajectory and Resource Optimization in UAV-Assisted Multi-Agent Wireless Networks via Cognitively Informed Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 12: 6790-6805 (2026)
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Guanhua Chai, Hao Li, Changle Li, Nan Cheng, F. Richard Yu:
Data-Driven Robust Resource Allocation for Vehicular Communications via Deep Support Vector Clustering. IEEE Trans. Cogn. Commun. Netw. 12: 6970-6987 (2026)
[j699]
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Yang Sun, Jitao Yi, Yuwei Bian, Meng Li, Pengbo Si, Fei Richard Yu:
Graph Neural Network-Enhanced Multi-Objective Scheduling and Offloading for Hybrid Applications in Edge-Cloud Networks. IEEE Trans. Cogn. Commun. Netw. 12: 7731-7744 (2026)
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Guanhua Chai, Rui Huang, Guorong Zhou, Changle Li, Nan Cheng, F. Richard Yu:
Deep Reinforcement Learning-Based Robust Wireless Resource Optimization for V2X Networks With Uncertain Channels. IEEE Trans. Cogn. Commun. Netw. 12: 8837-8851 (2026)
[j697]
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Haoyu Wan, Meng Li, Qi Li, Junshi Guo, Pengbo Si, Haijun Zhang, F. Richard Yu:
Performance Optimization for Multi-Cell Aerial Networks-Assisted MEC via Dual-Layer Blockchain-Enabled Federated Election. IEEE Trans. Cogn. Commun. Netw. 12: 11293-11307 (2026)
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Yinshuang Liao, Shu Fu, Liuguo Yin, Fei Richard Yu:
UAV-Assisted Multi-User Downlink Covert Communication Based on Lightweight Agents. IEEE Trans. Commun. 74: 3147-3161 (2026)
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Yuze Zhang, Lingjie Li, Qiuzhen Lin, Ling Wang, Zhong Ming, F. Richard Yu, Victor C. M. Leung:
Unsupervised Band Selection for Hyperspectral Image Classification: Particle Swarm Optimization via Cross-Domain Knowledge Transfer. IEEE Trans. Evol. Comput. 30(2): 867-881 (2026)
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Meihui Li, Meng Li, Qi Li, Pengbo Si, Haijun Zhang, F. Richard Yu:
Intelligent Energy-Balancing Offloading and Routing for IoT in Collaborative GEO-LEO Satellite Networks. IEEE Trans. Green Commun. Netw. 10: 1841-1853 (2026)
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Yin Jia, Li Zhu, F. Richard Yu, Bo Ai, Tao Tang:
Decentralized Learning for Multi-UAV Rail-Line Inspection With Imperfect Information: A Fictitious Self-Play Approach. IEEE Trans. Intell. Transp. Syst. 27(9): 11560-11577 (2026)
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Jiaqi Wu, Shihao Zhang, Simin Chen, Lixu Wang, Zehua Wang, Wei Chen, Fangyuan He, Zijian Tian, F. Richard Yu, Victor C. M. Leung:
Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-Play Neural Network Toolbox Enabling Edge Deployment. IEEE Trans. Mob. Comput. 25(2): 2793-2810 (2026)
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Kaiwen Pan, Meng Li, Suyu Lv, Pengbo Si, Haijun Zhang, F. Richard Yu:
RARTC: Resource Allocation in RIS-UAV and THz Enabled Cloud-Edge-End CPN for IoT Based on Multi-Agent Soft Actor-Critic Approach. IEEE Trans. Netw. Sci. Eng. 13: 7358-7375 (2026)
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Yuxia Cheng, Chengchao Liang, Qianbin Chen, F. Richard Yu:
Online Convex Optimization-Based Resource Allocation in Dynamic Edge Computing-Enabled Networks With Time-Varying Cost and Constraints. IEEE Trans. Netw. Sci. Eng. 13: 9538-9554 (2026)
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Xin Hu, Xiantao Jiang, F. Richard Yu, Victor C. M. Leung:
Enhancing Adaptive Video Streaming Through Bandwidth Prediction With Deep Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. 23: 5122-5137 (2026)
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Jiahui Wu, Ruizhe Yang, Meng Li, Enchang Sun, F. Richard Yu, Dajun Zhang, Pengbo Si:
Efficiency Optimization for Blockchain-Enabled V2V Energy Trading With Dynamic Clustering Based on Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 75(1): 405-418 (2026)
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Feng Ding, Shu Fu, Hongyang Yu, Yujie Tang, Boya Di, Fei Richard Yu:
Joint Optimization of Beamforming, Subchannel, and Power Allocation in Multi-Satellite BH-NOMA Communication System. IEEE Trans. Veh. Technol. 75(2): 3396-3400 (2026)
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Congcong Liu, Junhui Zhao, Jiamin Li, Dongming Wang, F. Richard Yu:
UAV Aided Integrated Sensing, Communication and Computing: Optimization via Federated Learning. IEEE Trans. Veh. Technol. 75(4): 6045-6058 (2026)
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Yanxing Song, Minghui Shi, F. Richard Yu:
Enhancing BEV Perception Through Vehicle-Road Cooperative Systems: An Attention-Based Cross-View Fusion Approach. IEEE Trans. Veh. Technol. 75(5): 7193-7204 (2026)
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Pincan Zhao, Yuchuan Fu, F. Richard Yu, Changle Li:
Rewardless Reinforcement Learning Method for Cooperative Sensing Optimization in Connected and Autonomous Vehicles. IEEE Trans. Veh. Technol. 75(5): 7496-7510 (2026)
[j683]
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Youyang Li, Haoyu Quan, Yibo Li, Jiamin Li, Xiaoming Wang, Junhui Zhao, F. Richard Yu:
Optimal Waveform Design for Integrated Sensing and Communication System in V2X Network. IEEE Trans. Veh. Technol. 75(5): 7612-7625 (2026)
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Fengyi Jiao, Hongli Zhao, Li Zhu, F. Richard Yu:
Handoff Decision Optimization in Train Autonomous Control Systems Using a Rolling Prediction-Decision Framework. IEEE Trans. Veh. Technol. 75(5): 8509-8521 (2026)
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Ying Zhang, Danni Zhu, Shaohan Bian, Haibao Yan, Cui-Hua Zhang, F. Richard Yu, Changchun Hua:
Demand-Oriented Autonomous Navigation for Mobile Robots With Vector-Semantic Mapping in Urban Environments. IEEE Trans. Veh. Technol. 75(6): 9510-9521 (2026)
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Xuehan Li, Tao Jing, F. Richard Yu, Hongwei Wang, Yuzheng Ren, Minghao Zhu, Yu Yan, Shuomei Ma, Yang Li:
Dependable Task Offloading for CAVs in Web3: An Intelligence-Based Active Inference Approach. IEEE Trans. Veh. Technol. 75(7): 14806-14821 (2026)
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Sun Mao, Lei Liu, Kun Yang, F. Richard Yu, Dusit Niyato, Chau Yuen:
Resource Allocation for STAR-RIS-Enhanced Metaverse Systems With Augmented Reality. IEEE Trans. Veh. Technol. 75(7): 15023-15038 (2026)
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Bintao Hu, Wenzhang Zhang, Yue Yin, Jianbo Du, F. Richard Yu, Xiaoli Chu:
Soft Actor-Critic-Based Offloading and Resource Allocation Optimisation for Digital Twin-Aided Vehicular Networks. IEEE Trans. Veh. Technol. 75(7): 15398-15403 (2026)
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Guanhua Chai, Yanyan Zhang, Changle Li, Nan Cheng, Meng Qin, F. Richard Yu:
AoI-Oriented Robust Resource Allocation for V2X Communications With Uncertain Channels. IEEE Trans. Veh. Technol. 75(8): 18277-18291 (2026)
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Devika Sathyan, Vishnu Hari, Pratik Narang, Tejasvi Alladi, F. Richard Yu:
FedSecureFormer: A Fast, Federated and Secure Transformer Framework for Lightweight Intrusion Detection in Connected and Autonomous Vehicles. IEEE Trans. Veh. Technol. 75(9): 18885-18895 (2026)
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Yating Xie, Minghao Zhu, Boyang Zhang, Letian Wang, Bo Gao, Xuehan Li, F. Richard Yu:
RAMA-STGCN: Risk-Aware Multi-Adjacency Spatio-Temporal Graph Convolutional Network for Traffic Flow Prediction. IEEE Trans. Veh. Technol. 75(9): 21641-21655 (2026)
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Jiaxue Yuan, Xiaorong Jing, Hongqing Liu, Chengchao Liang, Qianbin Chen, Fei Richard Yu:
Resource Allocation for STAR-RIS Assisted NOMA-SR With Hybrid Active-Passive Communication. IEEE Trans. Wirel. Commun. 25: 4171-4185 (2026)
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Xifei Song, Jie Feng, Lei Liu, Qingqi Pei, F. Richard Yu, Ning Zhang:
A Deep Reinforcement Learning With Transformer Integration for Directed Acyclic Graph Scheduling in Edge Networks. IEEE Trans. Wirel. Commun. 25: 5506-5520 (2026)
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Luqiao Wang, Changle Li, Yao Zhang, Wenwei Yue, Zifan Sha, Mahdi Boloursaz Mashhadi, Zhili Sun, Nan Cheng, F. Richard Yu:
Lyapunov-Based Tri-Stage Online On-Demand Resource Allocation and Task Offloading in SAGIN. IEEE Trans. Wirel. Commun. 25: 19515-19532 (2026)
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Feng Yang, Meng Li, Pengbo Si, Kan Wang, Haijun Zhang, F. Richard Yu:
Joint Optimization of Handoff Control and Resource Block Allocation in Integrated GEO-Multibeam and LEO-UAV Networks. IEEE Trans. Wirel. Commun. 25: 23280-23296 (2026)
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Qinqin Tang, Renchao Xie, Zeru Fang, Tao Huang, Tianjiao Chen, Ran Zhang, F. Richard Yu:
OEC-H2O: A Hierarchical Framework for Joint Service Orchestration and Computation Offloading in Orbital Edge Computing Networks. IEEE Wirel. Commun. 33(3): 220-226 (2026)
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Yuze Zhang, Lingjie Li, Qiuzhen Lin, Zhong Ming, Fei Yu, Victor C. M. Leung:
M3SR: Multi-Scale Multi-Perceptual Mamba for Efficient Spectral Reconstruction. AAAI 2026: 12979-12987
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Weize Xie, Yi Ding, Ying He, Leilei Wang, Binwen Bai, Zheyi Zhao, Chenyang Wang, F. Richard Yu:
ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation. AAAI 2026: 18665-18673
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Xinxin Zhu, Ying He, Haowen Hou, Ruichong Zhang, Nianbo Zeng, Yulin Peng, Jiongfeng Fang, F. Richard Yu:
PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization. AAAI 2026: 29186-29194
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Zihang Cheng, Wentao Bao, Huiping Zhuang, Chun Li, Xin Meng, Ziqian Zeng, Cen Chen, Ming Li, F. Richard Yu:
X-SG²S: Safe and Generalizable Gaussian Splatting with X-Dimensional Watermarks. ECCV (9) 2026: 678-695
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Ying He, Xinxin Zhu, Peijie Xian, Fei Richard Yu, Guangzheng Zhang, Jianbo Du:
Heterogeneous Multi-Agent Reinforcement Learning for Energy-Aware Resource Scheduling in Cloud Environments. ICC 2026: 1-6
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Yangqianhang Li, Gang Liu, Jiang Guo, Yu Shen, Zheng Ma, F. Richard Yu:
Energy Efficient Sensing-Communication-Computation Resource Allocation in RSMA-Assisted Vehicular Networks. ICC 2026: 1-6
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Haoran Peng, Yuxia Cheng, Chengchao Liang, F. Richard Yu:
Knowledge Base-Aware Resource Allocation for Semantic Communication-Enabled Multi-Cell Networks. ICC Workshops 2026: 1-6
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Haoyan Wan, Chengchao Liang, Qianbin Chen, F. Richard Yu:
Dual-Active Handover-Based Resource Allocation for GEO-LEO Heterogeneous Satellite Networks. ICC Workshops 2026: 1-6
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Feng Yang, Meng Li, F. Richard Yu, Pengbo Si, Ruizhe Yang, Suyu Lv, Enchang Sun:
MAD3QN-Enabled Handover Optimization in Integrated GEO-Multibeam and LEO-UAV Networks. ICC 2026: 1-6
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Pincan Zhao, Xinrui Zhang, Yili Tang, F. Richard Yu:
EABA: Edge-Assisted Batch Authentication for Vehicular Cooperative Perception. ICC 2026: 1-6
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Yutao Ye, Qianxi Qiu, Han Liu, Yinghui Pan, Fei Yu:
C2P-TCL: Category-to-Prompt Generation-Driven Three-Level Contrastive Learning Framework for Feature Embedding in CTR Prediction. ICIC (16) 2026: 571-582
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Meihui Li, Meng Li, Qi Li, Ruizhe Yang, Pengbo Si, F. Richard Yu:
Satellite Communications-Enabled Three-Tier Computing Task Offloading Optimization for Iot Via Multi-Agent Reinforcement Learning. WCNC 2026: 1-6
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Meng Li, Haoyu Wan, F. Richard Yu, Ruizhe Yang, Enchang Sun, Zhuwei Wang:
Performance Optimization for Data Computing in IoT Based on UAVs and HAP-Enabled MEC System. WoWMoM 2026: 351-356
[i119]
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Yuze Zhang, Lingjie Li, Qiuzhen Lin, Zhong Ming, Fei Yu, Victor C. M. Leung:
M3SR: Multi-Scale Multi-Perceptual Mamba for Efficient Spectral Reconstruction. CoRR abs/2601.08293 (2026)
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Amit Chougule, Vinay Chamola, Norbert Herencsar, Fei Richard Yu:
How Safe Is Your Data in Connected and Autonomous Cars: A Consumer Advantage or a Privacy Nightmare ? CoRR abs/2601.12284 (2026)
[i117]
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Weize Xie, Yi Ding, Ying He, Leilei Wang, Binwen Bai, Zheyi Zhao, Chenyang Wang, F. Richard Yu:
ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation. CoRR abs/2601.12925 (2026)
[i116]
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Zhengwei Ni, Zhidu Li, Wei Chen, Zhaoyang Zhang, Zehua Wang, F. Richard Yu, Victor C. M. Leung:
Toward a Sustainable Federated Learning Ecosystem: A Practical Least Core Mechanism for Payoff Allocation. CoRR abs/2602.03387 (2026)
[i115]
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Zhifeng Rao, Wenlong Chen, Lei Xie, Xia Hua, Dongfu Yin, Zhen Tian, F. Richard Yu:
AugVLA-3D: Depth-Driven Feature Augmentation for Vision-Language-Action Models. CoRR abs/2602.10698 (2026)
[i114]
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Chengwei Ma, Zhen Tian, Zhou Zhou, Zhixian Xu, Xiaowei Zhu, Xia Hua, Si Shi, F. Richard Yu:
Beyond Pixels: Vector-to-Graph Transformation for Reliable Schematic Auditing. CoRR abs/2602.11678 (2026)
[i113]
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Sun Mao, Lei Liu, Kun Yang, F. Richard Yu, Dusit Niyato, Chau Yuen:
Resource Allocation for STAR-RIS-enhanced Metaverse Systems with Augmented Reality. CoRR abs/2602.17123 (2026)
[i112]
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Chenxing Wei, Hong Wang, Ying He, Zhongxiang Dai, Bo Jiang, F. Richard Yu, Yao Shu:
Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation. CoRR abs/2603.01375 (2026)
[i111]
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Chenxing Wei, Jiazhen Kang, Hong Wang, Jianqing Zhang, Hao Jiang, Xiaolong Xu, Ningyuan Sun, Ying He, F. Richard Yu, Yao Shu, Bo Jiang:
LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models. CoRR abs/2603.01563 (2026)
[i110]
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Leilei Wang, Longfei Liu, Xi Shen, Xuanlong Yu, Ying Tiffany He, Fei Richard Yu, Yingyi Chen:
OV-DEIM: Real-time DETR-Style Open-Vocabulary Object Detection with GridSynthetic Augmentation. CoRR abs/2603.07022 (2026)
[i109]
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Yulin Peng, Xinxin Zhu, Chenxing Wei, Nianbo Zeng, Leilei Wang, Ying Tiffany He, F. Richard Yu:
SAGE: Multi-Agent Self-Evolution for LLM Reasoning. CoRR abs/2603.15255 (2026)
[i108]
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Yulin Peng, Haowen Hou, Xinxin Zhu, Ying Tiffany He, F. Richard Yu:
SEMAG: Self-Evolutionary Multi-Agent Code Generation. CoRR abs/2603.15707 (2026)
[i107]
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Qitao Chen, Dongfu Yin, F. Richard Yu:
Are the High-weight Neurons the Important Ones in Image Classification Neural Networks? CoRR abs/2607.25529 (2026)
[i106]
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Jinquan Zhang, Dongfu Yin, Run Yang, Yufeng Yan, Zhen Tian, F. Richard Yu:
Structure-Aware Robust Fine-Tuning: Defending Vision-Language-Action Robots Against Physical Attention Hijacking. CoRR abs/2608.03231 (2026)
2025
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Lipika Samal, Sarah W. Chen, Stuart R. Lipsitz, Heather J. Baer, John L. Kilgallon, Michael P. Gannon, Ryan Dunk, Weng Ian Chay, Fei Richard Yu, Michael Sainlaire, Chenxi Gao, Matthew Wien, Pamela M. Garabedian, Edward Wu, Hojjat Salmasian, David W. Bates, Patricia C. Dykes, Adam Wright, Allison B. McCoy:
User Actions within a Clinical Decision Support Alert for the Management of Hypertension in Chronic Kidney Disease. Appl. Clin. Inform. 16(3): 595-603 (2025)
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Li Zhu, Jia Miao, Cheng Chen, Baicheng Yan, Taiyuan Gong, F. Richard Yu, Tao Tang:
IRS-guided policy search in model based reinforcement learning for virtually coupled train sets control. Comput. Ind. Eng. 208: 111372 (2025)
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Xiaojie Wang, Beibei Wang, Yu Wu, Zhaolong Ning, Song Guo, Fei Richard Yu:
A Survey on Trustworthy Edge Intelligence: From Security and Reliability to Transparency and Sustainability. IEEE Commun. Surv. Tutorials 27(3): 1729-1757 (2025)
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Zhaolong Ning, Tengfeng Li, Yu Wu, Xiaojie Wang, Qingqing Wu, Fei Richard Yu, Song Guo:
6G Communication New Paradigm: The Integration of Autonomous Aerial Vehicles and Intelligent Reflecting Surfaces. IEEE Commun. Surv. Tutorials 27(6): 3382-3416 (2025)
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Xiaojie Wang, Zhonghui Zhao, Ling Yi, Zhaolong Ning, Lei Guo, F. Richard Yu, Song Guo:
A Survey on Security of UAV Swarm Networks: Attacks and Countermeasures. ACM Comput. Surv. 57(3): 74:1-74:37 (2025)
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Mengyao Wu, F. Richard Yu, Peter Xiaoping Liu, Ying He:
Facilitating Autonomous Driving Tasks With Large Language Models. IEEE Intell. Syst. 40(1): 45-52 (2025)
[j663]
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Qingqi Pei, F. Richard Yu, Kaoru Ota, Mohammed Atiquzzaman, Youshui Lu:
Next-generation web 3.0 for digitalized industrial applications in the 5G/6G era. Future Gener. Comput. Syst. 173: 107835 (2025)
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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 scoping review. Inf. Fusion 115: 102753 (2025)
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Shoubin Chen, Zehao Wu, Kai Zhang, Chunyu Li, Baiyang Zhang, Fei Ma, Fei Richard Yu, Qingquan Li:
Exploring Embodied Multimodal Large Models: Development, datasets, and future directions. Inf. Fusion 122: 103198 (2025)
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Haowen Hou, Fei Ma, Zihang Li, Fei Richard Yu:
VisualRWKV-HM: Enhancing linear visual-language models via hybrid mixing. Inf. Fusion 124: 103336 (2025)
[j659]
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Jie Guo, Meiting Wang, Hang Yin, Bin Song, Yuhao Chi, Fei Richard Yu, Chau Yuen:
Large Language Models and Artificial Intelligence Generated Content Technologies Meet Communication Networks. IEEE Internet Things J. 12(2): 1529-1553 (2025)
[j658]
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Yuchuan Fu, Xiaojian Niu, Lingling Zhou, Xuelian Cai, F. Richard Yu, Nan Cheng, Changle Li:
A Hierarchical Blockchain-Enabled Secure Aggregation Algorithm for Federated Learning in IoV. IEEE Internet Things J. 12(5): 5876-5890 (2025)
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Yuchuan Fu, Mengyuan Dong, Lingling Zhou, Changle Li, F. Richard Yu, Nan Cheng:
A Distributed Incentive Mechanism to Balance Demand and Communication Overhead for Multiple Federated Learning Tasks in IoV. IEEE Internet Things J. 12(8): 10479-10492 (2025)
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Li Zhu, Zijie Ye, Hongwei Wang, F. Richard Yu, Tao Tang:
IoT-Enhanced Generative AI for Dynamic Train Control in Virtually Coupled Train Set Systems. IEEE Internet Things J. 12(10): 13415-13427 (2025)
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Pincan Zhao, Changle Li, Xinrui Zhang, F. Richard Yu, Yuchuan Fu:
Intelligent Cooperative Sensing for Connected and Autonomous Vehicles: An Improved Decision Transformer Approach. IEEE Internet Things J. 12(11): 15424-15437 (2025)
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Xuelian Cai, Junyi Yang, Tianyu Chang, Yuchuan Fu, F. Richard Yu, Nan Cheng, Changle Li, Yilong Hui:
A Reliable Federated Learning Server Rotation Algorithm in IoV. IEEE Internet Things J. 12(11): 15501-15513 (2025)
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Manli Wang, Zeya Dou, Wei Chen, Zehua Wang, Fei Richard Yu, Victor C. M. Leung:
A Text Detection Method Based on Multiscale Selective Fusion Feature Pyramid and Multisemantic Spatial Network for Visual IoT. IEEE Internet Things J. 12(11): 15997-16008 (2025)
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Ting Yu, Shan Pan, Wei Chen, Zijian Tian, Zehua Wang, F. Richard Yu, Victor C. M. Leung:
Exploiting the Potential of Self-Supervised Monocular Depth Estimation via Patch-Based Self-Distillation. IEEE Internet Things J. 12(11): 18042-18055 (2025)
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Meng Li, Meihui Li, Kan Wang, F. Richard Yu, Zhuwei Wang, Pengbo Si:
Task Offloading and Resource Management for IIoT With Satellite-Terrestrial Integrated Computing Power Network Based on D3QN. IEEE Internet Things J. 12(12): 21770-21783 (2025)
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Xin Liu, Shuhuan Wen, Huaping Liu, F. Richard Yu:
CPL-SLAM: Centralized Collaborative Multirobot Visual-Inertial SLAM Using Point-and-Line Features. IEEE Internet Things J. 12(12): 21866-21875 (2025)
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Dan Wang, Keke Zhu, Bin Song, F. Richard Yu:
Transcoding-Enabled Edge Caching Strategy Optimization: A Dual-Timescale Meta-Learning-Based Stackelberg Game Approach. IEEE Internet Things J. 12(13): 23309-23323 (2025)
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Zijian Tian, Xinlong Li, Hailan Zhang, Wei Chen, Wei Yang, Zehua Wang, Fei Richard Yu, Victor C. M. Leung:
Zero-DCE With Global Information for Low-Light Image Enhancement in Coal Mine IoVT. IEEE Internet Things J. 12(15): 30156-30167 (2025)
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Xuehan Li, Tao Jing, Fei Richard Yu, Minghao Zhu, Hongwei Wang, Zha Liu:
Double-Layer Blockchain and MEC Deployment Enabled Secure and Efficient Entity Interaction Framework for the Industrial IoT. IEEE Internet Things J. 12(17): 35048-35064 (2025)
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Yuan Gao, Haoyu Du, Zhenwei Jiang, Haonan Hu, Jiliang Zhang, Shunqing Zhang, Jianbo Du, F. Richard Yu, Shugong Xu:
A Stochastic-Geometry-Based Analytical Framework for Integrated Localization and Communication Systems. IEEE Internet Things J. 12(18): 38710-38722 (2025)
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Shuai Wang, Shihao Zhang, Jiaqi Wu, Zijian Tian, Wei Chen, Tongzhu Jin, Miaomiao Xue, Zehua Wang, Fei Richard Yu, Victor C. M. Leung:
CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT Under Uneven Illumination. IEEE Internet Things J. 12(20): 41771-41787 (2025)
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Minda Yao, Wei Chen, Zehua Wang, Minglong Cheng, Chuanlei Zhang, Fei Richard Yu, Victor C. M. Leung:
LDA-FedHAR: Federated Human Activity Recognition for Wearable Devices Through Local HAR Data Alignment. IEEE Internet Things J. 12(23): 49442-49455 (2025)
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Ruoyu Zhao, Xiantao Jiang, F. Richard Yu, Victor C. M. Leung, Tao Wang, Shaohu Zhang:
Leveraging Cross-Attention Transformer and Multifeature Fusion for Cross-Linguistic Speech Emotion Recognition. IEEE Internet Things J. 12(23): 50653-50664 (2025)
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Yuanxun Cheng, Qingsong Hu, Wenjie Gao, Zehua Wang, Wei Chen, Yuansheng Zhang, Fei Richard Yu, Victor C. M. Leung:
Environment-Aware IoT UAV Channel Prediction: A Multiparameter Prediction Case Using Multimodal Sensing Data. IEEE Internet Things J. 12(24): 53410-53426 (2025)
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Haiwei Xue, Xiangyang Luo, Zhanghao Hu, Xin Zhang, Xunzhi Xiang, Yuqin Dai, Jianzhuang Liu, Zhensong Zhang, Minglei Li, Jian Yang, Fei Ma, Zhiyong Wu, Changpeng Yang, Zonghong Dai, Fei Richard Yu:
Human Motion Video Generation: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 47(11): 10709-10730 (2025)
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Yi Liu, Haowen Hou, Fei Ma, Shiguang Ni, Fei Richard Yu:
MLLM-TA: Leveraging Multimodal Large Language Models for Precise Temporal Video Grounding. IEEE Signal Process. Lett. 32: 281-285 (2025)
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Fei Ma, Yifan Xie, Yukan Li, Ying He, Yi Zhang, Hongwei Ren, Zhou Liu, Wei Yao, Fuji Ren, Fei Richard Yu, Shiguang Ni:
A Review of Human Emotion Synthesis Based on Generative Technology. IEEE Trans. Affect. Comput. 16(4): 2579-2598 (2025)
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Jianbo Du, Zuting Yu, Aijing Sun, Jing Jiang, Haitao Zhao, Ning Zhang, Celimuge Wu, F. Richard Yu:
Secure Task Offloading in Blockchain-Enabled MEC Networks With Improved PBFT Consensus. IEEE Trans. Cogn. Commun. Netw. 11(2): 1225-1243 (2025)
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Yuchen Zhou, Fei Richard Yu, Mengmeng Ren, Long Yang, Jian Chen:
Resource Allocation for Heterogeneous Statistical QoS Provisioning Over Internet-of-Vehicles via Hierarchical Deep Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 11(6): 4223-4239 (2025)
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Jianbo Du, Jiao Xu, Aijing Sun, Jiawen Kang, Ye Hu, F. Richard Yu, Victor C. M. Leung:
Profit Maximization for Multi-Time-Scale Hierarchical DRL-Based Joint Optimization in MEC-Enabled Air-Ground Integrated Networks. IEEE Trans. Commun. 73(3): 1591-1606 (2025)
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Pengfei Ning, Hongwei Wang, Tao Tang, Jie Zhang, Changji Chen, Dusit Niyato, F. Richard Yu:
Cooperative Relaying for Connected Construction Equipment Networks With Hybrid Hierarchical Proximal Policy Optimization. IEEE Trans. Commun. 73(7): 5184-5197 (2025)
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Linge Tian, Wei Liu, Yanlin Geng, Youlong Wu, Baoming Bai, Fei Richard Yu:
Fundamental Tradeoff Between Computation and Communication With Joint Coding and Interference Management in Wireless Distributed Computing. IEEE Trans. Commun. 73(12): 14137-14152 (2025)
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Zhipeng Xue, Yan Zhang, Ming Li, Chun Li, Yue Liu, Fei Yu:
Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures. IEEE Trans. Image Process. 34: 4328-4342 (2025)
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Pincan Zhao, Changle Li, F. Richard Yu, Yuchuan Fu:
An Enhanced 3D Sensor Deployment Method for Intelligent Cooperative Sensing in Connected and Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 26(4): 5236-5250 (2025)
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Xuelian Cai, Pincan Zhao, Sha Liu, Yuchuan Fu, Changle Li, Fei Richard Yu:
Enhancing Federated Learning in Connected and Autonomous Vehicles Through Cost Optimization and Advanced Model Selection. IEEE Trans. Intell. Transp. Syst. 26(4): 5276-5289 (2025)
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Mengyuan Dong, Yuchuan Fu, Changle Li, Mengqiu Tian, F. Richard Yu, Nan Cheng:
Task Offloading and Resource Allocation in Vehicular Cooperative Perception With Integrated Sensing, Communication, and Computation. IEEE Trans. Intell. Transp. Syst. 26(6): 8481-8496 (2025)
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Changle Li, Pincan Zhao, F. Richard Yu, Yuchuan Fu:
Incentivizing Cooperative Sensing Sharing Ecosystem for Connected and Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 26(8): 12106-12120 (2025)
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Yilun Yang, Ruizhe Yang, Meng Li, Bing Bu, Pengbo Si, F. Richard Yu:
Design and Optimization of Adaptive Cooperative MAC Protocol With Priority Scheduling for Train-to-Train Communications. IEEE Trans. Intell. Transp. Syst. 26(12): 22357-22373 (2025)
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Yuxia Cheng, Chengchao Liang, Qianbin Chen, F. Richard Yu:
An Efficient Resource Allocation Scheme With Uncertain Network Status in Edge Computing-Enabled Networks. IEEE Trans. Mob. Comput. 24(3): 1249-1263 (2025)
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Yuhang Wang, Ying He, F. Richard Yu, Kaishun Wu, Shanzhi Chen:
Intelligence-Based Reinforcement Learning for Dynamic Resource Optimization in Edge Computing-Enabled Vehicular Networks. IEEE Trans. Mob. Comput. 24(3): 2394-2406 (2025)
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Yuzheng Ren, Haijun Zhang, Fei Richard Yu, Wei Li, Pincan Zhao, Ying He:
Industrial Internet of Things With Large Language Models (LLMs): An Intelligence-Based Reinforcement Learning Approach. IEEE Trans. Mob. Comput. 24(5): 4136-4152 (2025)
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Shan Huang, Haipeng Yao, Tianle Mai, Di Wu, Jiaqi Xu, F. Richard Yu:
Multi-Agent Moth-Flame Reinforcement Learning Based Broadcast Beam Optimization. IEEE Trans. Mob. Comput. 24(8): 7223-7236 (2025)
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Haotian Guo, Feng Wang, Wei Zhang, Yifei Zhu, Laizhong Cui, Jiangchuan Liu, Fei Richard Yu, Lei Zhang:
Joint Adaptation for Mobile 360-Degree Video Streaming and Enhancement. IEEE Trans. Mob. Comput. 24(8): 7726-7741 (2025)
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Xin Xiong, Meng Li, F. Richard Yu, Haijun Zhang, Kan Wang, Pengbo Si:
Cloud-Edge-End Collaborative Computing-Enabled Intelligent Sharding Blockchain for Industrial IoT Based on PPO Approach. IEEE Trans. Mob. Comput. 24(9): 8011-8024 (2025)
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Taiyuan Gong, Li Zhu, Yang Li, Shuomei Ma, F. Richard Yu, Tao Tang:
Edge Intelligence Enhanced Monte Carlo Tree Search for Virtually Coupled Train Set Optimal Control. IEEE Trans. Mob. Comput. 24(9): 8475-8491 (2025)
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Zhenyu Li, Yuchuan Fu, Mengqiu Tian, Changle Li, F. Richard Yu, Nan Cheng:
FedSTDN: A Federated Learning-Enabled Spatial-Temporal Prediction Model for Wireless Traffic Prediction. IEEE Trans. Mob. Comput. 24(9): 8945-8958 (2025)
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Jiaqi Wu, Shihao Zhang, Mingshuo Hou, Zehua Wang, Wei Chen, Zijian Tian, F. Richard Yu, Victor C. M. Leung:
CLIP-AE: A Multi-Modal Unsupervised Images Enhancement Method Based on High-Order Adaptive Curve for Visual Disbalance Defects. IEEE Trans. Multim. 27: 4269-4283 (2025)
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Yan Zhang, Ming Li, Chun Li, Zhaoxia Liu, Ye Zhang, Fei Richard Yu:
Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning. IEEE Trans. Multim. 27: 8263-8275 (2025)
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Renchao Xie, Li Feng, Qinqin Tang, Han Zhu, Tao Huang, Ran Zhang, F. Richard Yu, Zehui Xiong:
Priority-Aware Task Scheduling in Computing Power Network-Enabled Edge Computing Systems. IEEE Trans. Netw. Sci. Eng. 12(4): 3191-3205 (2025)
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Renchao Xie, Wen Wen, Wenzheng Wang, Qinqin Tang, Xiaodong Duan, Lu Lu, Tao Sun, Tao Huang, Fei Richard Yu:
Incentive Mechanism Design for Trust-Driven Resources Trading in Computing Force Networks: Contract Theory Approach. IEEE Trans. Netw. Serv. Manag. 22(1): 618-634 (2025)
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Tianhao Ouyang, Haipeng Yao, Wenji He, Tianle Mai, Fu Wang, F. Richard Yu:
Self-Adaptive Dynamic In-Band Network Telemetry Orchestration for Balancing Accuracy and Stability. IEEE Trans. Netw. Serv. Manag. 22(2): 1514-1530 (2025)
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Chenlang Jin, Haipeng Yao, Tianle Mai, Jiaqi Xu, Qi Zhang, F. Richard Yu:
A Resource-Efficient Content Sharing Mechanism in Large-Scale UAV Named Data Networking. IEEE Trans. Netw. 33(1): 114-129 (2025)
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Yujiao Hu, Yining Zhu, Huayu Zhang, Yan Pan, Qingmin Jia, Renchao Xie, Gang Yang, F. Richard Yu:
Deterministic Scheduling and Network Structure Optimization for Time-Critical Computing Tasks in Industrial IoT. IEEE Trans. Netw. 33(6): 3391-3407 (2025)
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Furong Chai, Qi Zhang, Haipeng Yao, Xiangjun Xin, Ran Gao, Di Wu, F. Richard Yu:
A Hybrid NOMA-OMA Framework for Multi-User Offloading in Mobile Edge Computing System. IEEE Trans. Serv. Comput. 18(4): 1881-1892 (2025)
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Weibo Qin, Ying Wang, Haipeng Yao, Jiaqi Xu, Tianle Mai, Yunjie Liu, Zehui Xiong, F. Richard Yu:
Computing Offloading for Digital Twinning Empowered Industrial IoT. IEEE Trans. Serv. Comput. 18(5): 2673-2686 (2025)
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Tiansong Zhou, Yu Li, Xuangeng Chu, Chengkun Cao, Changyin Zhou, Fei Yu, Yebin Liu:
Real-Time High-Resolution View Synthesis of Complex Scenes With Explicit 3D Visibility Reasoning. IEEE Trans. Vis. Comput. Graph. 31(9): 6178-6189 (2025)
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Hao Liang, Li Zhu, F. Richard Yu, Chau Yuen:
Cloud-Edge-End Collaboration for Intelligent Train Regulation Optimization in TACS. IEEE Trans. Veh. Technol. 74(1): 454-465 (2025)
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Youhua Xia, Tiehua Zhang, Jiong Jin, Ying He, F. Richard Yu:
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks. IEEE Trans. Veh. Technol. 74(1): 1551-1569 (2025)
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Zijie Ye, Li Zhu, Yang Li, Hongwei Wang, F. Richard Yu, Tao Tang:
Digital Twin-Driven VCTS Control: An Iterative Apporach Using Model-Based Reinforcement Learning. IEEE Trans. Veh. Technol. 74(3): 3913-3924 (2025)
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Xuehan Li, Tao Jing, Ruinian Li, Xiaoxuan Wang, Yu Yan, Xin Fan, Yan Huo, Fei Richard Yu:
Self-Learning Based Dependable Offloading Optimization in Semi-Trusted Vehicular Edge Computing and Networks. IEEE Trans. Veh. Technol. 74(5): 8141-8157 (2025)
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Ying He, Xinyu Zeng, F. Richard Yu, Zhengjun Zhong, Zhiquan Liu, Guang Zhou:
MD-SLAM: A Multi-Task Deep-Learning-Based Visual SLAM System in Dynamic Environments. IEEE Trans. Veh. Technol. 74(8): 11882-11893 (2025)
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Gang Liu, Jiewen Hu, Zheng Ma, Pingzhi Fan, F. Richard Yu:
Joint Optimization of Communication Latency and Platoon Control Based on Uplink RSMA for Future V2X Networks. IEEE Trans. Veh. Technol. 74(9): 13458-13470 (2025)
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Ameya Deshmukh, Dheeraj Baiju, Atish Atish, Tejasvi Alladi, F. Richard Yu:
An Efficient and Scalable Byzantine Fault Tolerant Consensus for Vehicular Networks. IEEE Trans. Veh. Technol. 74(9): 13480-13491 (2025)
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Ying He, Chao Huang, F. Richard Yu, Zhiquan Liu, Guang Zhou:
Quantum Reinforcement Learning for Cognitive Radio-Assisted UAV Traffic Offloading. IEEE Trans. Veh. Technol. 74(9): 14620-14631 (2025)
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Mofan Luo, Yuchen Zhou, Long Yang, Lu Lv, Zheng Zhang, Fei Richard Yu, Arumugam Nallanathan:
Joint Optimization of Power Control and Receive Beamforming for Security Enhancement in SGF-NOMA Systems: A Distributed MADRL Approach. IEEE Trans. Veh. Technol. 74(10): 16494-16499 (2025)
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Peng Li, Shuhuan Wen, F. Richard Yu, Tony Z. Qiu:
Sequential Descriptors for Visual Place Recognition: Combining EMLA Training With TFA-Net Aggregation. IEEE Trans. Veh. Technol. 74(12): 18385-18395 (2025)
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Kaiwen Pan, Meng Li, Suyu Lv, Pengbo Si, Haijun Zhang, F. Richard Yu:
Adaptive Resource Allocation for IoT With Computing Power Network Based on RIS-UAV-Aided NOMA-THz Communication. IEEE Trans. Veh. Technol. 74(12): 19294-19307 (2025)
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Pengfei Ning, Hongwei Wang, Tao Tang, Jie Zhang, Hongyang Du, Dusit Niyato, F. Richard Yu:
Diffusion-Based Deep Reinforcement Learning for Resource Management in Connected Construction Equipment Networks: A Hierarchical Framework. IEEE Trans. Wirel. Commun. 24(4): 2847-2861 (2025)
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Meng Li, Yudian Huang, F. Richard Yu, Pengbo Si, Haijun Zhang:
Ambient Backscatter Communication-Assisted Intelligent Resource Management for Green Industrial IoT. IEEE Wirel. Commun. 32(1): 174-181 (2025)
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Xunzhi Xiang, Haiwei Xue, Zonghong Dai, Di Wang, Minglei Li, Ye Yue, Fei Ma, Weijiang Yu, Heng Chang, Fei Richard Yu:
ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters. AAAI 2025: 8628-8636
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Yifan Xie, Tao Feng, Xin Zhang, Xiangyang Luo, Zixuan Guo, Weijiang Yu, Heng Chang, Fei Ma, Fei Richard Yu:
PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis. AAAI 2025: 8753-8761
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Leilei Wang, Si Shi, Fei Ma, Fei Richard Yu, Pengteng Li, Ying Tiffany He:
Subgraph Invariant Learning Towards Large-Scale Graph Node Classification. AAAI 2025: 21144-21152
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Hasan Abbasi, Marzieh Amini, F. Richard Yu:
Comprehensive Analysis of Object Detection using RGB Camera for Autonomous Vehicles under Adverse Weather Conditions. CCECE 2025: 602-606
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Haowen Hou, Peigen Zeng, Fei Ma, Fei Richard Yu:
VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models. COLING 2025: 10423-10434
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Wei Ge, Yongwei Nie, Fei Ma, Keke Tang, Fei Richard Yu, Hongmin Cai, Ping Li:
Training-Free Language-Guided Video Summarization via Multi-Grained Saliency Scoring. CVM (3) 2025: 89-104
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Shaoyu Liu, Jianing Li, Guanghui Zhao, Yunjian Zhang, Xin Meng, Fei Richard Yu, Xiangyang Ji, Ming Li:
EventGPT: Event Stream Understanding with Multimodal Large Language Models. CVPR 2025: 29139-29149
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Fan Zhuo, Ying He, F. Richard Yu, Pengshuai Yin, Fei Ma:
ABM++: Learning Generalizable Manipulation Policies with a Mask-Guided World Model. ECAI 2025: 162-169
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Chenxing Wei, Mingwen Ou, Ying He, Yao Shu, Fei Yu:
PAFT: Prompt-Agnostic Fine-Tuning. EMNLP 2025: 694-717
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Haojie Cai, Dongfu Yin, Fei Yu, Siting Xiong:
MFT: Modal Fusion Transformer for Cross-Modal Fusion in 3D Object Detection. ICASSP 2025: 1-5
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Ying He, F. Richard Yu, Fei Ma, Ming Li, Guang Zhou:
DEP-SLAM: A Dynamic Environment Perception SLAM System with Large Language Models. ICASSP 2025: 1-5
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Xinxin Zhu, F. Richard Yu, Ying He, Biao He:
Resource Allocation for Semantic Segmentation Tasks in Autonomous Driving: A Likelihood Active Inference Approach. ICASSP 2025: 1-5
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Kaiwen Pan, Meng Li, Enchang Sun, Pengbo Si, Kan Wang, F. Richard Yu:
Intelligent Resource Optimization for CPN-Enabled IoT by RIS-UAV-Aided NOMA-THz Communication. ICC 2025: 1-6
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Xin Xiong, Meng Li, Ruizhe Yang, Qi Li, Pengbo Si, F. Richard Yu:
Performance Optimization and Improvement of ISAC-Enabled Industrial IoT Based on Intelligent Sharding Blockchain. ICC 2025: 1-6
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Meng Li, Meihui Li, F. Richard Yu, Ruizhe Yang, Enchang Sun, Zhuwei Wang, Anwer Al-Dulaimi:
Joint Optimization of Energy-Efficiency and Delay for IIoT with Satellite-Terrestrial Integrated CPN. ICC 2025: 5169-5174
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Yuxia Cheng, Chengchao Liang, Qianbin Chen, F. Richard Yu:
Active Inference-Enhanced Reinforcement Learning for Adaptive Service Migration in Edge Computing-Enabled Networks. ICC 2025: 5939-5944
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Yufei Shi, Weilong Yan, Gang Xu, Yumeng Li, Yucheng Chen, Zhenxi Li, Fei Yu, Ming Li, Si Yong Yeo:
PVChat: Personalized Video Chat with One-Shot Learning. ICCV 2025: 23321-23331
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Chenyang Wang, Xiaoxu Ren, Ying He, Fei Yu, Victor C. M. Leung:
Congestion Control for Blockchain-enabled SDN in Web 4.0: A Reinforcement Learning Approach through Active Inference. ICDCS 2025: 177-187
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Zuyin Wu, Zixuan Guo, Yifan Xie, Ying Tiffany He, Fei Ma, Fei Richard Yu:
DictAvatar: Expressive Facial Avatar Reconstruction with Facial Feature Dictionary. ICIC (6) 2025: 230-241
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Jiarong Cheng, Xihang Qiu, Qing Zhou, Ming Li, Chun Li, Yao Lu, Fei Richard Yu:
OmniStyle: Attention-Optimized Global and Local Image Stylization with Diffusion Model Inversion. ICME 2025: 1-6
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Tao Feng, Yifan Xie, Xun Guan, Jiyuan Song, Zhou Liu, Fei Ma, F. Richard Yu:
UniSync: A Unified Framework for Audio-Visual Synchronization. ICME 2025: 1-6
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Xiangyang Luo, Junhao Cheng, Yifan Xie, Xin Zhang, Tao Feng, Zhou Liu, Fei Ma, Fei Yu:
Object Isolated Attention for Consistent Story Visualization. ICME 2025: 1-6
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Xin Zhang, Siting Huang, Xiangyang Luo, Yifan Xie, Weijiang Yu, Heng Chang, Fei Ma, Fei Yu:
MuseFace: Text-driven Face Editing via Diffusion-based Mask Generation Approach. ICME 2025: 1-6
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Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu:
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models. ICML 2025
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Songbai Tan, Xuerui Qiu, Yao Shu, Gang Xu, Linrui Xu, Xiangyu Xu, Huiping Zhuang, Ming Li, Fei Richard Yu:
WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models. ICML 2025
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Gan Chen, Ying He, Mulin Yu, F. Richard Yu, Gang Xu, Fei Ma, Ming Li, Guang Zhou:
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction. IJCAI 2025: 774-782
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Haiwei Xue, Zhensong Zhang, Minglei Li, Zonghong Dai, Fei Yu, Fei Ma, Zhiyong Wu:
VideoHumanMIB: Unlocking Appearance Decoupling for Video Human Motion In-betweening. IJCAI 2025: 4254-4262
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Huorong Dong, Ying He, F. Richard Yu, Guangzheng Zhang, Biao He, Jia Wang:
Intelligence-Based Active Inference for Robots with Multimodal Large Language Models and Edge Computing. INFOCOM WKSHPS 2025: 1-6
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Jiayi Chen, Ying He, F. Richard Yu:
TagGuideBot: Enhancing Robot Intelligence with Object Tags and VLMs. IROS 2025: 842-849
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Yao Tu, Jiyuan Song, Aibin Zhu, Bo Zhang, Fei Richard Yu, Qingquan Li:
Bi-directional Cable-driven Ankle Exoskeleton Coupled with Series Elastic Actuator for Compliant Gait Assisting^*. IROS 2025: 10055-10062
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Yongjie Li, Zhou Liu, Wenshuai Yu, Zhangji Lu, Chenyang Wang, Fei Yu, Qingquan Li:
A Two-Stage Lightweight Framework for Efficient Land-Air Bimodal Robot Autonomous Navigation. IROS 2025: 11165-11171
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Zixuan Guo, Yifan Xie, Weijing Xie, Peng Huang, Chenyang Wang, Fei Ma, Fei Yu:
GaussianPU: Color Point Cloud Upsampling via 3D Gaussian Splatting. IROS 2025: 11805-11811
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Fangze Lin, Ying He, Fei Yu, Hong Zhang:
JAM: Keypoint-Guided Joint Prediction after Classification-Aware Marginal Proposal for Multi-Agent Interaction. IROS 2025: 12050-12056
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Jianpeng Wang, Zhen Tian, Wenlong Chen, Dian Yuan, Zhou Zhou, Ming Cen, Xia Hua, Fei Yu:
MobiExo: GPS-SLAM Fusion for Seamless Indoor-Outdoor Mobile Manipulation with Hand-Foot Coordination. IROS 2025: 17360-17367
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Yifan Xie, Fei Ma, Yi Bin, Ying He, Fei Yu:
Audio-Driven Talking Face Video Generation with Joint Uncertainty Learning. ICMR 2025: 1588-1597
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Yihong Ji, Yunze Liu, Yiyao Zhuo, Weijiang Yu, Fei Ma, Joshua Zhexue Huang, Fei Yu:
OnlineHOI: Towards Online Human-Object Interaction Generation and Perception. ACM Multimedia 2025: 9395-9403
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Zihan Su, Xuerui Qiu, Hongbin Xu, Tangyu Jiang, Junhao Zhuang, Chun Yuan, Ming Li, Shengfeng He, Fei Richard Yu:
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking. NeurIPS 2025
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Chenxing Wei, Jiarui Yu, Ying He, Hande Dong, Yao Shu, Fei Richard Yu:
ReDit: Reward Dithering for Improved LLM Policy Optimization. NeurIPS 2025
[c331]
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Yifan Xie, Mingyang Li, Shoujie Li, Xingting Li, Guangyu Chen, Fei Ma, Fei Richard Yu, Wenbo Ding:
Universal Visuo-Tactile Video Understanding for Embodied Interaction. NeurIPS 2025
[c330]
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Yingsha Xie, Rui Min, Zeyu Qin, Fei Ma, Li Shen, Fei Richard Yu, Xiaochun Cao:
RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models. NeurIPS 2025
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Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Zhijun Ding, Fei Richard Yu:
GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback. PAKDD (7) 2025: 426-438
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Dongfu Yin, Run Yang, Lei Xie, F. Richard Yu, Ji Chen, Bing Dai:
A Low-Cost Sensing Glove for Robust and Dexterous Human-Robot Interaction. ROBIO 2025: 2093-2098
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Pengshuai Yin, Tianyi Zhang, Lianzhong You, Si Shi, Zhen Tian, Shoubin Chen, F. Richard Yu, Ming Yang:
OV-Nav: Object Navigation Based on Large Vision Language Models and Hierarchical Scene Graph. UPINLBS 2025: 1-6
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Haojie Cai, Dongfu Yin, Fei Richard Yu, Siting Xiong:
DSTR: Dual Scenes Transformer for Cross-Modal Fusion in 3D Object Detection. WACV 2025: 3064-3073
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Qingxiang Luo, Yashuang Guo, Aoran Zheng, Zhitong Ni, F. Richard Yu, Victor C. M. Leung:
Wireless Semantic Communication Based on Probability Distribution: An Initial Work. WCNC 2025: 1-6
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Ruoyu Zhao, Xiantao Jiang, F. Richard Yu, Victor C. M. Leung, Tao Wang, Shaohu Zhang:
Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition. CoRR abs/2501.10408 (2025)
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He Hu, Yucheng Zhou, Lianzhong You, Hongbo Xu, Qianning Wang, Zheng Lian, Fei Richard Yu, Fei Ma, Laizhong Cui:
EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models. CoRR abs/2502.04424 (2025)
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Zihang Cheng, Huiping Zhuang, Chun Li, Xin Meng, Ming Li, Fei Richard Yu:
X-SG²S: Safe and Generalizable Gaussian Splatting with X-dimensional Watermarks. CoRR abs/2502.10475 (2025)
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Chenxing Wei, Yao Shu, Mingwen Ou, Ying Tiffany He, Fei Richard Yu:
PAFT: Prompt-Agnostic Fine-Tuning. CoRR abs/2502.12859 (2025)
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Gan Chen, Ying He, Mulin Yu, F. Richard Yu, Gang Xu, Fei Ma, Ming Li, Guang Zhou:
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction. CoRR abs/2502.14004 (2025)
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Shoubin Chen, Zehao Wu, Kai Zhang, Chunyu Li, Baiyang Zhang, Fei Ma, Fei Richard Yu, Qingquan Li:
Exploring Embodied Multimodal Large Models: Development, Datasets, and Future Directions. CoRR abs/2502.15336 (2025)
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Shuai Wang, Shihao Zhang, Jiaqi Wu, Zijian Tian, Wei Chen, Tongzhu Jin, Miaomiao Xue, Zehua Wang, Fei Richard Yu, Victor C. M. Leung:
CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT under Uneven Illumination. CoRR abs/2502.19450 (2025)
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Ziyi Wang, Songbai Tan, Gang Xu, Xuerui Qiu, Hongbin Xu, Xin Meng, Ming Li, Fei Richard Yu:
Safe-VAR: Safe Visual Autoregressive Model for Text-to-Image Generative Watermarking. CoRR abs/2503.11324 (2025)
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Tao Feng, Yifan Xie, Xun Guan, Jiyuan Song, Zhou Liu, Fei Ma, Fei Richard Yu:
UniSync: A Unified Framework for Audio-Visual Synchronization. CoRR abs/2503.16357 (2025)
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Yufei Shi, Weilong Yan, Gang Xu, Yumeng Li, Yuchen Li, Zhenxi Li, Fei Richard Yu, Ming Li, Si Yong Yeo:
PVChat: Personalized Video Chat with One-Shot Learning. CoRR abs/2503.17069 (2025)
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Xiangyang Luo, Junhao Cheng, Yifan Xie, Xin Zhang, Tao Feng, Zhou Liu, Fei Ma, Fei Richard Yu:
Object Isolated Attention for Consistent Story Visualization. CoRR abs/2503.23353 (2025)
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Xin Zhang, Siting Huang, Xiangyang Luo, Yifan Xie, Weijiang Yu, Heng Chang, Fei Ma, Fei Yu:
MuseFace: Text-driven Face Editing via Diffusion-based Mask Generation Approach. CoRR abs/2503.23888 (2025)
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Yifan Xie, Fei Ma, Yi Bin, Ying He, Fei Yu:
Audio-Driven Talking Face Video Generation with Joint Uncertainty Learning. CoRR abs/2504.18810 (2025)
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Haowen Hou, Zhiyi Huang, Kaifeng Tan, Rongchang Lu, Fei Richard Yu:
RWKV-X: A Linear Complexity Hybrid Language Model. CoRR abs/2504.21463 (2025)
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  - journals/corr/abs-2505-12667
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Zihan Su, Xuerui Qiu, Hongbin Xu, Tangyu Jiang, Junhao Zhuang, Chun Yuan, Ming Li, Shengfeng He, Fei Richard Yu:
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking. CoRR abs/2505.12667 (2025)
[i90]
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Yifan Xie, Mingyang Li, Shoujie Li, Xingting Li, Guangyu Chen, Fei Ma, Fei Richard Yu, Wenbo Ding:
Universal Visuo-Tactile Video Understanding for Embodied Interaction. CoRR abs/2505.22566 (2025)
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Nianbo Zeng, Haowen Hou, Fei Richard Yu, Si Shi, Ying Tiffany He:
SceneRAG: Scene-level Retrieval-Augmented Generation for Video Understanding. CoRR abs/2506.07600 (2025)
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Runze Cheng, Xihang Qiu, Ming Li, Ye Zhang, Chun Li, Fei Yu:
Robust Brain Tumor Segmentation with Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer. CoRR abs/2507.01254 (2025)
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Zhipeng Xue, Yan Zhang, Ming Li, Chun Li, Yue Liu, Fei Yu:
Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures. CoRR abs/2507.09980 (2025)
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Fangze Lin, Ying He, Fei Yu, Hong Zhang:
JAM: Keypoint-Guided Joint Prediction after Classification-Aware Marginal Proposal for Multi-Agent Interaction. CoRR abs/2507.17152 (2025)
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Dongfu Yin, Xiaotian Chen, Fei Richard Yu, Xuanchen Li, Xinhao Zhang:
MVG4D: Image Matrix-Based Multi-View and Motion Generation for 4D Content Creation from a Single Image. CoRR abs/2507.18371 (2025)
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Yongjie Li, Zhou Liu, Wenshuai Yu, Zhangji Lu, Chenyang Wang, Fei Yu, Qingquan Li:
A Two-Stage Lightweight Framework for Efficient Land-Air Bimodal Robot Autonomous Navigation. CoRR abs/2507.22473 (2025)
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Xuyi Yang, Wenhao Zhang, Hongbo Jin, Lin Liu, Hongbo Xu, Yongwei Nie, Fei Yu, Fei Ma:
Enhancing Long Video Question Answering with Scene-Localized Frame Grouping. CoRR abs/2508.03009 (2025)
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Zhaoyu Chen, Hongnan Lin, Yongwei Nie, Fei Ma, Xuemiao Xu, Fei Yu, Chengjiang Long:
Invert4TVG: A Temporal Video Grounding Framework with Inversion Tasks for Enhanced Action Understanding. CoRR abs/2508.07388 (2025)
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Chaohong Guo, Xun Mo, Yongwei Nie, Xuemiao Xu, Chao Xu, Fei Yu, Chengjiang Long:
TAR-TVG: Enhancing VLMs with Timestamp Anchor-Constrained Reasoning for Temporal Video Grounding. CoRR abs/2508.07683 (2025)
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Jiaqi Wu, Jing Liu, Yang Liu, Lixu Wang, Zehua Wang, Wei Chen, Zijian Tian, Richard Yu, Victor C. M. Leung:
A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks. CoRR abs/2508.18803 (2025)
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  - journals/corr/abs-2509-03883
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Haiwei Xue, Xiangyang Luo, Zhanghao Hu, Xin Zhang, Xunzhi Xiang, Yuqin Dai, Jianzhuang Liu, Zhensong Zhang, Minglei Li, Jian Yang, Fei Ma, Zhiyong Wu, Changpeng Yang, Zonghong Dai, Fei Richard Yu:
Human Motion Video Generation: A Survey. CoRR abs/2509.03883 (2025)
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Yihong Ji, Yunze Liu, Yiyao Zhuo, Weijiang Yu, Fei Ma, Joshua Zhexue Huang, Fei Yu:
OnlineHOI: Towards Online Human-Object Interaction Generation and Perception. CoRR abs/2509.12250 (2025)
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Mengzhu Li, Yunyu Zhou, He Ying, F. Richard Yu:
CDFlow: Generative Gradient Flows for Configuration Space Distance Fields via Neural ODEs. CoRR abs/2509.13771 (2025)
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Jun Du, Weiwei Xing, Ming Li, Fei Richard Yu:
VSE-MOT: Multi-Object Tracking in Low-Quality Video Scenes Guided by Visual Semantic Enhancement. CoRR abs/2509.14060 (2025)
[i75]
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Pengteng Li, Yunfan Lu, Pinhao Song, Weiyu Guo, Huizai Yao, F. Richard Yu, Hui Xiong:
DeblurSplat: SfM-free 3D Gaussian Splatting with Event Camera for Robust Deblurring. CoRR abs/2509.18898 (2025)
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  - journals/corr/abs-2509-23166
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Chenxing Wei, Hong Wang, Ying He, Fei Yu, Yao Shu:
Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs. CoRR abs/2509.23166 (2025)
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  - journals/corr/abs-2512-19983
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Ziyuan Guo, Jie Guo, Zhenghao Chen, Bin Song, Fei Richard Yu:
IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation. CoRR abs/2512.19983 (2025)
[i72]
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  - journals/corr/abs-2512-24345
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Devika S, Vishnu Hari, Pratik Narang, Tejasvi Alladi, F. Richard Yu:
FedSecureFormer: A Fast, Federated and Secure Transformer Framework for Lightweight Intrusion Detection in Connected and Autonomous Vehicles. CoRR abs/2512.24345 (2025)
2024
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Chaowen Liu, Fei Yu, Zhengmin Shi, Menghan Lin, Chenxi Pang, Fasong Wang, Jian-Kang Zhang:
RIS-Assisted Precoding Spatial Modulation: Optimal Design and Performance Analysis. IEEE Access 12: 4399-4412 (2024)
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Huan Zhou, Tian Wang, F. Richard Yu:
Editorial for the special issue on emerging technologies and applications for AIoT. CCF Trans. Pervasive Comput. Interact. 6(4): 297-299 (2024)
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Jie Guo, Hao Chen, Bin Song, Yuhao Chi, Chau Yuen, Fei Richard Yu, Geoffrey Ye Li, Dusit Niyato:
Distributed Task-Oriented Communication Networks with Multimodal Semantic Relay and Edge Intelligence. IEEE Commun. Mag. 62(6): 82-89 (2024)
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Yuan Li, Hao Zhang, Chen Zhang, Tao Huang, F. Richard Yu:
A Survey of Quantum Internet Protocols From a Layered Perspective. IEEE Commun. Surv. Tutorials 26(3): 1606-1634 (2024)
[j592]
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Tao Huang, Renchao Xie, Yuzheng Ren, F. Richard Yu, Zhuang Zou, Lu Han, Yunjie Liu, Demin Cheng, Yinan Li, Tian Liu:
DTAIS: Distributed trusted active identity resolution systems for the Industrial Internet. Digit. Commun. Networks 10(4): 853-862 (2024)
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Chaowen Liu, Anling Zeng, Fei Yu, Zhengmin Shi, Mingyang Liu, Boyang Liu:
Intelligent-Reflecting-Surface-Assisted Single-Input Single-Output Secure Transmission: A Joint Multiplicative Perturbation and Constructive Reflection Perspective. Entropy 26(10): 849 (2024)
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Yang Sun, Yuqing Zhai, Wenjun Wu, Pengbo Si, Fei Richard Yu:
Handover for Multi-Beam LEO Satellite Networks: A Multi-Objective Reinforcement Learning Method. IEEE Commun. Lett. 28(12): 2834-2838 (2024)
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Xi Wu, Zhenwen Ren, F. Richard Yu:
Parameter-Free Shifted Laplacian Reconstruction for Multiple Kernel Clustering. IEEE CAA J. Autom. Sinica 11(4): 1072-1074 (2024)
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Hao Liang, Li Zhu, F. Richard Yu:
Collaborative Edge Intelligence Service Provision in Blockchain Empowered Urban Rail Transit Systems. IEEE Internet Things J. 11(2): 2211-2223 (2024)
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Jianbo Du, Ziwen Kong, Aijing Sun, Jiawen Kang, Dusit Niyato, Xiaoli Chu, F. Richard Yu:
MADDPG-Based Joint Service Placement and Task Offloading in MEC Empowered Air-Ground Integrated Networks. IEEE Internet Things J. 11(6): 10600-10615 (2024)
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Yuchuan Fu, Zhenyu Li, Sha Liu, Changle Li, F. Richard Yu, Nan Cheng:
An Incentive Mechanism for Long-Term Federated Learning in Autonomous Driving. IEEE Internet Things J. 11(9): 15642-15655 (2024)
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Tao Huang, Yudong Huang, Xinyuan Zhang, Shuo Wang, Hongyang Du, Dusit Niyato, Fei Richard Yu, Yun-Jie Liu:
Hirail: Core-Agnostic Deterministic Networks for Long-Distance Time-Sensitive IIoT Applications. IEEE Internet Things J. 11(10): 17198-17209 (2024)
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Vinay Chamola, Amit Chougule, Aishwarya Sam, Amir Hussain, Fei Richard Yu:
Overtaking Mechanisms Based on Augmented Intelligence for Autonomous Driving: Data Sets, Methods, and Challenges. IEEE Internet Things J. 11(10): 17911-17933 (2024)
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Yujiao Hu, Qingmin Jia, Yuan Yao, Yong Lee, Mengjie Lee, Chenyi Wang, Xiaomao Zhou, Renchao Xie, F. Richard Yu:
Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review. IEEE Internet Things J. 11(11): 19143-19167 (2024)
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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): 19823-19837 (2024)
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Jiaqi Wu, Ruihan Zheng, Jiade Jiang, Zijian Tian, Wei Chen, Zehua Wang, Fei Richard Yu, Victor C. M. Leung:
A Lightweight Small Object Detection Method Based on Multilayer Coordination Federated Intelligence for Coal Mine IoVT. IEEE Internet Things J. 11(11): 20072-20087 (2024)
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Yan Liu, Peng Lin, Mengya Zhang, Zhizhong Zhang, F. Richard Yu:
Mobile-Aware Service Offloading for UAV-Assisted IoV: A Multiagent Tiny Distributed Learning Approach. IEEE Internet Things J. 11(12): 21191-21201 (2024)
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Man Ouyang, Ran Zhang, Bingqing Wang, Jiang Liu, Tao Huang, Liang Liu, Jincheng Tong, Ning Xin, F. Richard Yu:
Network Coding-Based Multipath Transmission for LEO Satellite Networks With Domain Cluster. IEEE Internet Things J. 11(12): 21659-21673 (2024)
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Ruizhe Yang, Tonghui Zhao, F. Richard Yu, Meng Li, Dajun Zhang, Xuehui Zhao:
Blockchain-Based Federated Learning With Enhanced Privacy and Security Using Homomorphic Encryption and Reputation. IEEE Internet Things J. 11(12): 21674-21688 (2024)
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Jiaqi Wu, Rui Jing, Yishuo Bai, Zijian Tian, Wei Chen, Shihao Zhang, F. Richard Yu, Victor C. M. Leung:
Small Insulator Defects Detection Based on Multiscale Feature Interaction Transformer for UAV-Assisted Power IoVT. IEEE Internet Things J. 11(13): 23410-23427 (2024)
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Yaqi Mao, Xin Yang, Ling Wang, Dawei Wang, Osama Alfarraj, Keping Yu, Shahid Mumtaz, Fei Richard Yu:
A High-Capacity MAC Protocol for UAV-Enhanced RIS-Assisted V2X Architecture in 3-D IoT Traffic. IEEE Internet Things J. 11(13): 23711-23726 (2024)
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Yujiao Hu, Qingmin Jia, Jinchao Chen, Yuan Yao, Yan Pan, Renchao Xie, F. Richard Yu:
CoRaiS: Lightweight Real-Time Scheduler for Multiedge Cooperative Computing. IEEE Internet Things J. 11(17): 28649-28666 (2024)
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Fucheng Xue, Wei Chen, Meichen Gai, Zehua Wang, Fei Richard Yu, Victor C. M. Leung:
Enhancing Security in UAV-Assisted Image Data Collection for Internet of Things. IEEE Internet Things J. 11(19): 31646-31661 (2024)
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Zhongwei Huang, Fei Richard Yu, Jun Cai:
Knowledge-Collaboration-Based Resource Allocation in 6G IoT: A Graph Attention RL Approach. IEEE Internet Things J. 11(22): 36581-36595 (2024)
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Chaowen Liu, Zhengmin Shi, Menghan Lin, Fei Yu, Tong-Xing Zheng, Jian-Kang Zhang, Guangyue Lu:
Uplink Secure Receive Spatial Modulation Empowered by Intelligent Reflecting Surface. IEEE Internet Things J. 11(22): 36703-36719 (2024)
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Vinay Chamola, Gaurang Bansal, Tridib Kumar Das, Vikas Hassija, Siva Sai, Jiacheng Wang, Sherali Zeadally, Amir Hussain, Fei Richard Yu, Mohsen Guizani, Dusit Niyato:
Beyond Reality: The Pivotal Role of Generative AI in the Metaverse. IEEE Internet Things Mag. 7(4): 126-135 (2024)
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Qinqin Tang, Renchao Xie, Zeru Fang, Tao Huang, Tianjiao Chen, Ran Zhang, F. Richard Yu:
Joint Service Deployment and Task Scheduling for Satellite Edge Computing: A Two-Timescale Hierarchical Approach. IEEE J. Sel. Areas Commun. 42(5): 1063-1079 (2024)
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Yuanfeng Li, Qi Zhang, Haipeng Yao, Ran Gao, Xiangjun Xin, F. Richard Yu:
Stigmergy and Hierarchical Learning for Routing Optimization in Multi-Domain Collaborative Satellite Networks. IEEE J. Sel. Areas Commun. 42(5): 1188-1203 (2024)
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Shuhuan Wen, Simeng Gong, Ziyuan Zhang, F. Richard Yu, Zhiwen Wang:
Vision-and-language navigation based on history-aware cross-modal feature fusion in indoor environment. Knowl. Based Syst. 305: 112610 (2024)
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Tao Huang, Sha Tan, Qinqin Tang, Chen Zhang, Renchao Xie, F. Richard Yu:
NT-SCDC: Realizing Service Customized Networking in Distributed Clouds With NaaS Ticket. IEEE Netw. 38(3): 236-243 (2024)
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Qinqin Tang, Renchao Xie, Li Feng, Fei Richard Yu, Tianjiao Chen, Ran Zhang, Tao Huang:
SIaTS: A Service Intent-Aware Task Scheduling Framework for Computing Power Networks. IEEE Netw. 38(4): 233-240 (2024)
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Yudian Huang, Meng Li, F. Richard Yu, Pengbo Si, Haijun Zhang, Junfei Qiao:
Resources Scheduling for Ambient Backscatter Communication-Based Intelligent IIoT: A Collective Deep Reinforcement Learning Method. IEEE Trans. Cogn. Commun. Netw. 10(2): 634-648 (2024)
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Amit Chougule, Vinay Chamola, Vikas Hassija, Pranav Gupta, Fei Richard Yu:
A Novel Framework for Traffic Congestion Management at Intersections Using Federated Learning and Vertical Partitioning. IEEE Trans. Consumer Electron. 70(1): 1725-1735 (2024)
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Daosen Zhai, Ye Jiang, Qiqi Shi, Ruonan Zhang, Haotong Cao, Fei Richard Yu:
Joint Resource Management and Deployment Optimization for Heterogeneous Aerial Networks With Backhaul Constraints. IEEE Trans. Commun. 72(1): 348-360 (2024)
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Chen Wang, Daosen Zhai, Ruonan Zhang, Huan Li, Fei Richard Yu:
Latency Minimization for UAV-Assisted MEC Networks With Blockchain. IEEE Trans. Commun. 72(11): 6854-6866 (2024)
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Ting Yu, Shuai Wang, Wei Chen, F. Richard Yu, Victor C. M. Leung, Zijian Tian:
Joint Self-Supervised Enhancement and Denoising of Low-Light Images. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1800-1813 (2024)
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Ting Yu, Shuai Wang, Wei Chen, F. Richard Yu, Victor C. M. Leung, Zijian Tian:
Self-Supervised Adaptive Illumination Estimation for Low-Light Image Enhancement. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1882-1893 (2024)
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Yubo Zhao, Jiaqi Wu, Wei Chen, Zehua Wang, Zijian Tian, Fei Richard Yu, Victor C. M. Leung:
A Small Object Real-Time Detection Method for Power Line Inspection in Low-Illuminance Environments. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3936-3950 (2024)
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Qi Li, Pengbo Si, Yibo Zhang, Jingjing Wang, Dajun Zhang, F. Richard Yu:
UAV Altitude, Relay Selection, and User Association Optimization for Cooperative Relay-Transmission in UAV-IRS-Based THz Networks. IEEE Trans. Green Commun. Netw. 8(2): 815-826 (2024)
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Hao Liang, Li Zhu, F. Richard Yu, Zhaowei Ma:
Blockchain-Empowered Edge Intelligence for TACS Obstacle Detection: System Design and Performance Optimization. IEEE Trans. Ind. Informatics 20(1): 85-95 (2024)
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Shuhuan Wen, Sheng Tao, Xin Liu, Artur Babiarz, F. Richard Yu:
CD-SLAM: A Real-Time Stereo Visual-Inertial SLAM for Complex Dynamic Environments With Semantic and Geometric Information. IEEE Trans. Instrum. Meas. 73: 1-8 (2024)
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Li Zhu, Cheng Chen, Hongwei Wang, F. Richard Yu, Tao Tang:
Machine Learning in Urban Rail Transit Systems: A Survey. IEEE Trans. Intell. Transp. Syst. 25(3): 2182-2207 (2024)
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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): 9863-9877 (2024)
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Li Zhu, Taiyuan Gong, Siyu Wei, F. Richard Yu:
Collaborative Train and Edge Computing in Edge Intelligence Based Train Autonomous Operation Control Systems. IEEE Trans. Intell. Transp. Syst. 25(9): 11991-12004 (2024)
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Xuehan Li, Tao Jing, Xiaoxuan Wang, Dengyu Han, Xin Fan, Honghui Dong, Xiangyu Li, Fei Richard Yu:
Two-Stage Offloading for an Enhancing Distributed Vehicular Edge Computing and Networks: Model and Algorithm. IEEE Trans. Intell. Transp. Syst. 25(11): 17744-17761 (2024)
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Qingtian Wu, Nannan Li, Liming Zhang, Fei Richard Yu:
Driver Drowsiness Detection Based on Joint Human Face and Facial Landmark Localization With Cheap Operations. IEEE Trans. Intell. Transp. Syst. 25(12): 19633-19645 (2024)
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Yuchuan Fu, Xinlong Tang, Changle Li, Fei Richard Yu, Nan Cheng:
A Secure Personalized Federated Learning Algorithm for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(12): 20378-20389 (2024)
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Dan Wang, Bo Li, Bin Song, Chen Chen, F. Richard Yu:
HSMH: A Hierarchical Sequence Multi-Hop Reasoning Model With Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36(4): 1638-1649 (2024)
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Ran Zhang, Fangqi Liu, Jiang Liu, Mingzhe Chen, Qinqin Tang, Tao Huang, F. Richard Yu:
CPPer-FL: Clustered Parallel Training for Efficient Personalized Federated Learning. IEEE Trans. Mob. Comput. 23(10): 9424-9436 (2024)
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Tao Huang, Sha Tan, Qinqin Tang, Renchao Xie, Chen Zhang, F. Richard Yu:
Coordinating Services and Networks With NaaS Tickets Towards Service Customization in Distributed Clouds. IEEE Trans. Mob. Comput. 23(12): 10984-10999 (2024)
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Ying He, Jingcheng Fang, F. Richard Yu, Victor C. M. Leung:
Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Computing: An Active Inference Approach. IEEE Trans. Mob. Comput. 23(12): 11253-11264 (2024)
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Tao Huang, Zeru Fang, Qinqin Tang, Renchao Xie, Tianjiao Chen, F. Richard Yu:
Dual-Timescales Optimization of Task Scheduling and Resource Slicing in Satellite-Terrestrial Edge Computing Networks. IEEE Trans. Mob. Comput. 23(12): 14111-14126 (2024)
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Jie Guo, Longyu Wen, Yan Zhou, Bin Song, Yuhao Chi, Fei Richard Yu:
SPACE: Self-Supervised Dual Preference Enhancing Network for Multimodal Recommendation. IEEE Trans. Multim. 26: 8849-8859 (2024)
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Weinan Gao, Na Li, Kyriakos G. Vamvoudakis, Fei Richard Yu, Zhong-Ping Jiang:
Guest Editorial Special Issue on Reinforcement Learning-Based Control: Data-Efficient and Resilient Methods. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3103-3106 (2024)
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Jiali You, Zhenwen Ren, F. Richard Yu, Xiaojian You:
One-Stage Shifted Laplacian Refining for Multiple Kernel Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11501-11513 (2024)
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Junhui Zhao, Qiuping Li, Xiaoting Ma, F. Richard Yu:
Computation Offloading for Edge Intelligence in Two-Tier Heterogeneous Networkss. IEEE Trans. Netw. Sci. Eng. 11(2): 1872-1884 (2024)
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Haotong Cao, Neeraj Kumar, Longxiang Yang, Mohsen Guizani, F. Richard Yu:
Resource Orchestration and Allocation of E2E Slices in Softwarized UAVs-Assisted 6G Terrestrial Networks. IEEE Trans. Netw. Serv. Manag. 21(1): 1032-1047 (2024)
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Jun Cai, Zirui Zhou, Zhongwei Huang, Wenlong Dai, Fei Richard Yu:
Privacy-Preserving Deployment Mechanism for Service Function Chains Across Multiple Domains. IEEE Trans. Netw. Serv. Manag. 21(1): 1241-1256 (2024)
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Yufei An, F. Richard Yu, Ying He, Jianqiang Li, Jianyong Chen, Victor C. M. Leung:
A Deep Learning System for Detecting IoT Web Attacks With a Joint Embedded Prediction Architecture (JEPA). IEEE Trans. Netw. Serv. Manag. 21(6): 6885-6898 (2024)
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Jun Cai, Wei Liu, Zhongwei Huang, Fei Richard Yu:
Task Decomposition and Hierarchical Scheduling for Collaborative Cloud-Edge-End Computing. IEEE Trans. Serv. Comput. 17(6): 4368-4382 (2024)
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Guanhua Chai, Weihua Wu, Qinghai Yang, Meng Qin, Yan Wu, F. Richard Yu:
Platoon Partition and Resource Allocation for Ultra-Reliable V2X Networks. IEEE Trans. Veh. Technol. 73(1): 147-161 (2024)
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Jie Lu, Jingfu Li, F. Richard Yu, Weiheng Jiang, Wenjiang Feng:
UAV-Assisted Heterogeneous Cloud Radio Access Network With Comprehensive Interference Management. IEEE Trans. Veh. Technol. 73(1): 843-859 (2024)
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Yuchen Zhou, Fei Richard Yu, Mengmeng Ren, Jian Chen:
Adaptive Data Transmission and Computing for Vehicles in the Internet-of-Intelligence. IEEE Trans. Veh. Technol. 73(2): 2533-2548 (2024)
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Cui-Qin Dai, Yu Zhang, Fei Richard Yu, Qianbin Chen:
Dynamic Scheduling Scheme With Task Laxity for Data Relay Satellite Networks. IEEE Trans. Veh. Technol. 73(2): 2605-2620 (2024)
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Yujie Fang, Meng Li, F. Richard Yu, Pengbo Si, Ruizhe Yang, Chunhai Gao, Yanhua Sun:
Parallel Offloading and Resource Optimization for Multi-Hop Ad Hoc Network-Enabled CBTC With Mobile Edge Computing. IEEE Trans. Veh. Technol. 73(2): 2684-2698 (2024)
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Li Zhu, Sen Lin, F. Richard Yu, Yang Li:
Collaborative Computing Optimization in Train-Edge-Cloud-Based Smart Train Systems Using Risk-Sensitive Reinforcement Learning. IEEE Trans. Veh. Technol. 73(3): 3129-3141 (2024)
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Qunshu Wang, Xiaowei Pang, Celimuge Wu, Lexi Xu, Nan Zhao, F. Richard Yu:
Transmit Power Minimization for STAR-RIS Aided FD-NOMA Networks. IEEE Trans. Veh. Technol. 73(3): 4389-4394 (2024)
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Jinyuan Tian, Li Zhu, Fei Richard Yu, Hongwei Wang, Tao Tang:
Optimizing Edge Resources in Intelligent Railway Construction: A Two-Level Game Approach. IEEE Trans. Veh. Technol. 73(6): 7589-7602 (2024)
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Taiyuan Gong, Li Zhu, F. Richard Yu, Tao Tang:
Train-to-Edge Cooperative Intelligence for Obstacle Intrusion Detection in Rail Transit. IEEE Trans. Veh. Technol. 73(6): 7669-7680 (2024)
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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): 7722-7732 (2024)
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Peng Lin, Yan Liu, Zhizhong Zhang, F. Richard Yu, Victor C. M. Leung:
Cost-Aware Task Offloading and Migration for Wireless Virtual Reality Using Interactive A3C Approach. IEEE Trans. Veh. Technol. 73(7): 10850-10855 (2024)
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Mengke Yang, Daosen Zhai, Ruonan Zhang, Bin Li, Lin Cai, F. Richard Yu:
Joint Admission and Power Control for Massive Connections via Graph Neural Network. IEEE Trans. Veh. Technol. 73(8): 11806-11820 (2024)
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Jinhong Li, Rong Chai, Chong Liu, Chengchao Liang, Qianbin Chen, F. Richard Yu:
Energy-Aware Joint Route Selection and Resource Allocation in Heterogeneous Satellite Networks. IEEE Trans. Veh. Technol. 73(8): 12067-12081 (2024)
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Devika S, Rishi Rakesh Shrivastava, Pratik Narang, Tejasvi Alladi, F. Richard Yu:
VADGAN: An Unsupervised GAN Framework for Enhanced Anomaly Detection in Connected and Autonomous Vehicles. IEEE Trans. Veh. Technol. 73(9): 12458-12467 (2024)
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Mengyao Wu, F. Richard Yu, Peter Xiaoping Liu:
A Collective and Continuous Rule Learning Framework Towards Enhanced Driving Safety and Decision Transparency. IEEE Trans. Veh. Technol. 73(10): 14275-14290 (2024)
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Amit Chougule, Ishan Kulkarni, Tejasvi Alladi, Vinay Chamola, Fei Richard Yu:
HybridSecNet: In-Vehicle Security on Controller Area Networks Through a Hybrid Two-Step LSTM-CNN Model. IEEE Trans. Veh. Technol. 73(10): 14580-14591 (2024)
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Yang Li, Li Zhu, Shichao Liu, Hongwei Wang, F. Richard Yu, Baigen Cai:
Electric Vehicle Cluster Assisted Multi-Tier Vehicular Edge Computing System: Cross-System Framework Design and Optimization. IEEE Trans. Veh. Technol. 73(11): 17384-17399 (2024)
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Shuyue Zhao, Wenpeng Jing, F. Richard Yu, Xiangming Wen, Zhaoming Lu:
Mobility-Aware Computation Offloading for AR Tasks Over Terahertz Wireless Networks: An Offline Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 73(12): 19111-19124 (2024)
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Yueqiang Xu, Heli Zhang, Xi Li, F. Richard Yu, Hong Ji, Victor C. M. Leung:
Blockchain-Based Edge Collaboration With Incentive Mechanism for MEC-Enabled VR Systems. IEEE Trans. Wirel. Commun. 23(4): 3706-3720 (2024)
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Peng Lin, Zhaolong Ning, Zhizhong Zhang, Yan Liu, F. Richard Yu, Victor C. M. Leung:
Joint Optimization of Preference-Aware Caching and Content Migration in Cost-Efficient Mobile Edge Networks. IEEE Trans. Wirel. Commun. 23(5): 4918-4931 (2024)
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Yanjie Dong, Luya Wang, Jia Wang, Xiping Hu, Haijun Zhang, Fei Richard Yu, Victor C. M. Leung:
Accelerating Wireless Federated Learning via Nesterov's Momentum and Distributed Principal Component Analysis. IEEE Trans. Wirel. Commun. 23(6): 5938-5952 (2024)
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Zhaolong Ning, Hao Hu, Xiaojie Wang, Qingqing Wu, Chau Yuen, F. Richard Yu, Yan Zhang:
Joint User Association, Interference Cancellation, and Power Control for Multi-IRS Assisted UAV Communications. IEEE Trans. Wirel. Commun. 23(10): 13408-13423 (2024)
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Tao Huang, Zeru Fang, Qinqin Tang, Renchao Xie, Tianjiao Chen, Ran Zhang, F. Richard Yu:
Integrated Computing and Networking for LEO Satellite Mega-Constellations: Architecture, Challenges and Open Issues. IEEE Wirel. Commun. 31(5): 92-100 (2024)
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Jiongfeng Fang, Ying He, F. Richard Yu, Jianbo Du:
Resource Allocation for Video Diffusion Task Offloading in Cloud-Edge Networks: A Deep Active Inference Approach. GLOBECOM 2024: 2021-2026
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Peijie Xian, Ying He, F. Richard Yu, Jianbo Du:
A Novel Meta-Hierarchical Active Inference Reinforcement Learning Approach for QoS-Driven Resource Allocation in Dynamic Clouds. GLOBECOM 2024: 3938-3943
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Peigen Zeng, Ying He, F. Richard Yu, Jianbo Du:
A Quantum Temporal Difference Learning Method Based on Quantum World Model. GLOBECOM 2024: 4010-4015
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Zebo Zhao, Chao Qiu, Yunfeng Zhao, Xiaofei Wang, Haipeng Yao, Xiuhua Li, F. Richard Yu:
F²NAS: Flexible Federated Neural Architecture Search in Green Edge Computing. ICC 2024: 1545-1550
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Zeru Fang, Qinqin Tang, Renchao Xie, Tao Huang, Tianjiao Chen, F. Richard Yu:
Dual-timescales Optimization for Resource Slicing and Task Scheduling in Satellite Edge Computing Networks. ICC 2024: 2513-2518
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Tao Huang, Sha Tan, Qinqin Tang, Renchao Xie, Chen Zhang, F. Richard Yu:
Contract Theory-Based Customized Service Scheduling for Predictable QoS in WANs. ICC 2024: 3664-3669
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Pengteng Li, Ying He, F. Richard Yu, Pinhao Song, Xingchen Zhou, Guang Zhou:
OTOcc: Optimal Transport for Occupancy Prediction. IJCAI 2024: 1010-1019
[c317]
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Fan Zhuo, Ying He, Fei Yu, Pengteng Li, Zheyi Zhao, Xilong Sun:
ABM: Attention before Manipulation. IJCAI 2024: 1816-1824
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Xiaomao Zhou, Qingmin Jia, Yujiao Hu, Renchao Xie, Tao Huang, F. Richard Yu:
GenG: An LLM-Based Generic Time Series Data Generation Approach for Edge Intelligence via Cross-Domain Collaboration. INFOCOM (Workshops) 2024: 1-6
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Fangze Lin, Ying He, Fei Yu:
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning. IROS 2024: 5136-5143
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Zheyi Zhao, Ying He, Fei Yu, Pengteng Li, Fan Zhuo, Xilong Sun:
LLaKey: Follow My Basic Action Instructions to Your Next Key State. IROS 2024: 9604-9611
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Zhengjun Zhong, Ying He, Pengteng Li, Fei Yu, Fei Ma:
A Language-Driven Navigation Strategy Integrating Semantic Maps and Large Language Models. IROS 2024: 9753-9760
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Xiangyang Luo, Xin Zhang, Yifan Xie, Xinyi Tong, Weijiang Yu, Heng Chang, Fei Ma, Fei Richard Yu:
CodeSwap: Symmetrically Face Swapping Based on Prior Codebook. ACM Multimedia 2024: 6910-6919
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Yao Shu, Jiongfeng Fang, Ying He, Fei Richard Yu:
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations. NeurIPS 2024
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  - conf/trustcom/YangZFY24
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Qingmei Yang, Pincan Zhao, Yuchuan Fu, F. Richard Yu:
Enhancing Security and Privacy in Connected and Autonomous Vehicles: A Post-Quantum Revocable Ring Signature Approach. TrustCom 2024: 1557-1562
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Rongjing Wang, Hanli Jiang, Qianqian Zhang, Gang Liu, Fei Richard Yu:
Real-Time UWB and IMU Fusion Positioning System for Urban Rail Transit with High Mobility. VTC Spring 2024: 1-7
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Yuxia Cheng, Chengchao Liang, Qianbin Chen, F. Richard Yu:
A Robust Optimization Approach for Resource Allocation in Edge Computing-enabled Networks. WCNC 2024: 1-6
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Yuxia Cheng, Jinhong Li, Chengchao Liang, Rong Chai, Qianbin Chen, F. Richard Yu:
Online Convex Optimization for Resource Allocation Scheme in Edge Computing-enabled Networks. WCNC 2024: 1-6
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Run Qiu, Ying He, F. Richard Yu, Guang Zhou:
SPP-SLAM: Dynamic Visual SLAM with Multiple Constraints based on Semantic Masks and Probabilistic Propagation. WCNC 2024: 1-6
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Yuhang Wang, Ying He, F. Richard Yu, Kaishun Wu:
Intelligence-based Reinforcement Learning for Continuous Dynamic Resource Allocation in Vehicular Networks. WCNC 2024: 1-6
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Haowen Hou, F. Richard Yu:
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks. CoRR abs/2401.09093 (2024)
[i70]
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Yujiao Hu, Qingmin Jia, Meng Shen, Renchao Xie, Tao Huang, F. Richard Yu:
Empowering Computing and Networks Convergence System with Distributed Cooperative Routing. CoRR abs/2402.02381 (2024)
[i69]
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Yao Shu, Jiongfeng Fang, Ying Tiffany He, Fei Richard Yu:
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations. CoRR abs/2402.11427 (2024)
[i68]
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Tiansong Zhou, Yebin Liu, Xuangeng Chu, Chengkun Cao, Changyin Zhou, Fei Yu, Yu Li:
Real-time High-resolution View Synthesis of Complex Scenes with Explicit 3D Visibility Reasoning. CoRR abs/2402.12886 (2024)
[i67]
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Yujiao Hu, Yining Zhu, Huayu Zhang, Yan Pan, Qingmin Jia, Renchao Xie, Gang Yang, F. Richard Yu:
Pioneering Deterministic Scheduling and Network Structure Optimization for Time-Critical Computing Tasks in Industrial IoT. CoRR abs/2402.16870 (2024)
[i66]
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Yujiao Hu, Qingmin Jia, Jinchao Chen, Yuan Yao, Yan Pan, Renchao Xie, F. Richard Yu:
CoRaiS: Lightweight Real-Time Scheduler for Multi-Edge Cooperative Computing. CoRR abs/2403.09671 (2024)
[i65]
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Haowen Hou, Peigen Zeng, Fei Ma, Fei Richard Yu:
VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models. CoRR abs/2406.13362 (2024)
[i64]
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Youhua Xia, Tiehua Zhang, Jiong Jin, Ying He, Fei Yu:
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks. CoRR abs/2407.00141 (2024)
[i63]
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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 abs/2407.03640 (2024)
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Fangze Lin, Ying He, Fei Yu:
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning. CoRR abs/2407.18569 (2024)
[i61]
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Runxi Cheng, Yongxian Wei, Xianglong He, Wanyun Zhu, Songsong Huang, Fei Richard Yu, Fei Ma, Chun Yuan:
Learn To Learn More Precisely. CoRR abs/2408.04590 (2024)
[i60]
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Chenxing Wei, Yao Shu, Ying Tiffany He, Fei Richard Yu:
Flexora: Flexible Low Rank Adaptation for Large Language Models. CoRR abs/2408.10774 (2024)
[i59]
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Haowen Hou, Fei Ma, Binwen Bai, Xinxin Zhu, Fei Richard Yu:
Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression. CoRR abs/2408.15491 (2024)
[i58]
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Zixuan Guo, Yifan Xie, Weijing Xie, Peng Huang, Fei Ma, Fei Richard Yu:
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting. CoRR abs/2409.01581 (2024)
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Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu:
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models. CoRR abs/2409.06277 (2024)
[i56]
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Yudong Huang, Tao Huang, Xinyuan Zhang, Shuo Wang, Hongyang Du, Dusit Niyato, Fei Richard Yu:
CSQF-based Time-Sensitive Flow Scheduling in Long-distance Industrial IoT Networks. CoRR abs/2409.09585 (2024)
[i55]
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Yan Zhang, Ming Li, Chun Li, Zhaoxia Liu, Ye Zhang, Fei Richard Yu:
Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning. CoRR abs/2411.00826 (2024)
[i54]
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Jiaqi Wu, Simin Chen, Zehua Wang, Wei Chen, Zijian Tian, F. Richard Yu, Victor C. M. Leung:
Task-Oriented Real-time Visual Inference for IoVT Systems: A Co-design Framework of Neural Networks and Edge Deployment. CoRR abs/2411.00838 (2024)
[i53]
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Jie Guo, Meiting Wang, Hang Yin, Bin Song, Yuhao Chi, Fei Richard Yu, Chau Yuen:
Large Language Models and Artificial Intelligence Generated Content Technologies Meet Communication Networks. CoRR abs/2411.06193 (2024)
[i52]
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Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Fei Richard Yu:
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning. CoRR abs/2411.14479 (2024)
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Shaoyu Liu, Jianing Li, Guanghui Zhao, Yunjian Zhang, Xin Meng, Fei Richard Yu, Xiangyang Ji, Ming Li:
EventGPT: Event Stream Understanding with Multimodal Large Language Models. CoRR abs/2412.00832 (2024)
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Fei Ma, Yukan Li, Yifan Xie, Ying He, Yi Zhang, Hongwei Ren, Zhou Liu, Wei Yao, Fuji Ren, Fei Richard Yu, Shiguang Ni:
A Review of Human Emotion Synthesis Based on Generative Technology. CoRR abs/2412.07116 (2024)
[i49]
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Yifan Xie, Tao Feng, Xin Zhang, Xiangyang Luo, Zixuan Guo, Weijiang Yu, Heng Chang, Fei Ma, Fei Richard Yu:
PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis. CoRR abs/2412.08504 (2024)
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Jiaqi Wu, Shihao Zhang, Simin Chen, Lixu Wang, Zehua Wang, Wei Chen, Fangyuan He, Zijian Tian, F. Richard Yu, Victor C. M. Leung:
Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deployment. CoRR abs/2412.18230 (2024)
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Hongwei Ren, Fei Ma, Xiaopeng Lin, Yuetong Fang, Hongxiang Huang, Yulong Huang, Yue Zhou, Haotian Fu, Ziyi Yang, Fei Richard Yu, Bojun Cheng:
Frequency-aware Event Cloud Network. CoRR abs/2412.20803 (2024)
2023
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Yuke Zhou, Ran Zhang, Jiang Liu, Tao Huang, Qinqin Tang, F. Richard Yu:
A Hierarchical Digital Twin Network for Satellite Communication Networks. IEEE Commun. Mag. 61(11): 104-110 (2023)
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Xinying Kilpi-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)
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Tejasvi Alladi, Varun Kohli, Vinay Chamola, F. Richard Yu:
A deep learning based misbehavior classification scheme for intrusion detection in cooperative intelligent transportation systems. Digit. Commun. Networks 9(5): 1113-1122 (2023)
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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)
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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)
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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)
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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)
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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)
[j505]
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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)
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Sixing Yin, Kaiyue Wang, Yameng Han, Jundong Pan, Yining Wang, Shufang Li, F. Richard Yu:
Left Ventricle Contouring in Cardiac Images in the Internet of Medical Things via Deep Reinforcement Learning. IEEE Internet Things J. 10(20): 17705-17717 (2023)
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Wenwei Yue, Changle Li, Peibo Duan, Fei Richard Yu:
Revolution on Wheels: A Survey on the Positive and Negative Impacts of Connected and Automated Vehicles in Era of Mixed Autonomy. IEEE Internet Things J. 10(24): 21820-21835 (2023)
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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)
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Hao Liang, Li Zhu, F. Richard Yu:
When Blockchain Meets Urban Rail Transit: Current Prospects, Case Studies, and Future Challenges. IEEE Intell. Transp. Syst. Mag. 15(6): 78-95 (2023)
[j500]
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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)
[j499]
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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)
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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): 230-236 (2023)
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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)
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Guanhua Chai, Weihua Wu, Qinghai Yang, F. Richard Yu:
Data-Driven Resource Allocation and Group Formation for Platoon in V2X Networks With CSI Uncertainty. IEEE Trans. Commun. 71(12): 7117-7132 (2023)
[j495]
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Haoran Li, Yulan Guo, Zhenwen Ren, F. Richard Yu, Jiali You, Xiaojian You:
Explicit Local Coupling Global Structure Clustering. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6649-6660 (2023)
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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)
[j493]
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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)
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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)
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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)
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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)
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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)
[j488]
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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)
[j487]
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Xiaobo Yang, Daosen Zhai, Ruonan Zhang, Lei Liu, F. Richard Yu, Victor C. M. Leung:
Temporal Correlation Characteristics of Air-to-Ground Wireless Channel With UAV Wobble. IEEE Trans. Intell. Transp. Syst. 24(10): 10702-10715 (2023)
[j486]
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Jingwei Liu, Yating Li, Rong Sun, Lei Liu, Ning Zhang, F. Richard Yu, Victor C. M. Leung:
SDSS: Secure Data Sharing Scheme for Edge Enabled IoV Networks. IEEE Trans. Intell. Transp. Syst. 24(11): 12038-12049 (2023)
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Amit Chougule, Varun Kohli, Vinay Chamola, Fei Richard Yu:
Multibranch Reconstruction Error (MbRE) Intrusion Detection Architecture for Intelligent Edge-Based Policing in Vehicular Ad-Hoc Networks. IEEE Trans. Intell. Transp. Syst. 24(11): 13068-13077 (2023)
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Yang Li, Li Zhu, Hongwei Wang, F. Richard Yu, Tao Tang, Dajun Zhang:
Joint Security and Resources Allocation Scheme Design in Edge Intelligence Enabled CBTCs: A Two-Level Game Theoretic Approach. IEEE Trans. Intell. Transp. Syst. 24(12): 13948-13961 (2023)
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Yuchuan Fu, Changle Li, F. Richard Yu, Tom H. Luan, Pincan Zhao:
An Incentive Mechanism of Incorporating Supervision Game for Federated Learning in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 24(12): 14800-14812 (2023)
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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)
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Qinqin Tang, Renchao Xie, Fei Richard Yu, Tianjiao Chen, Ran Zhang, Tao Huang, Yunjie Liu:
Collective Deep Reinforcement Learning for Intelligence Sharing in the Internet of Intelligence-Empowered Edge Computing. IEEE Trans. Mob. Comput. 22(11): 6327-6342 (2023)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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Yueqiang Xu, Heli Zhang, Xi Li, F. Richard Yu, Victor C. M. Leung, Hong Ji:
Trusted Collaboration for MEC-Enabled VR Video Streaming: A Multi-Agent Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 72(9): 12167-12180 (2023)
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Ang Chen, Li Chen, Yunfei Chen, Changsheng You, Guo Wei, F. Richard Yu:
Cramér-Rao Bounds of Near-Field Positioning Based on Electromagnetic Propagation Model. IEEE Trans. Veh. Technol. 72(11): 13808-13825 (2023)
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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)
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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)
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Xu Jiang, Min Sheng, Nan Zhao, Junyu Liu, Dusit Niyato, F. Richard Yu:
Outage Analysis of UAV-Aided Networks With Underlaid Ambient Backscatter Communications. IEEE Trans. Wirel. Commun. 22(11): 7492-7505 (2023)
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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): 152-159 (2023)
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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)
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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)
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Yan Liu, Ying He, Zhong Ming, F. Richard Yu:
A Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions. ECAI 2023: 1560-1567
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Peigen Zeng, Ying He, F. Richard Yu, Victor C. M. Leung:
Quantum Reinforcement Learning with Quantum World Model. GLOBECOM 2023: 1-6
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Ziming Dai, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, F. Richard Yu:
MG²FL: Multi-Granularity Grouping-Based Federated Learning in Green Edge Computing Systems. GLOBECOM 2023: 152-157
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Fei Yu, Chaowen Liu, Menghan Lin, Tong-Xing Zheng, Yi He, Boyang Liu, Guangyue Lu:
Reconfigurable Intelligent Surface Assisted Transmitter Pre-Coding Spatial Modulation. GLOBECOM (Workshops) 2023: 1158-1163
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Chao Huang, Ying He, Fei Yu, Peigen Zeng:
Resource Allocation for Cognitive Radio Inspired Non-Orthogonal Multiple Access Networks: A Quantum Soft Actor-Critic Method. GLOBECOM 2023: 3161-3166
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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: 3457-3462
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Mengke Yang, Daosen Zhai, Ruonan Zhang, Haotong Cao, Lin Cai, F. Richard Yu:
Joint Admission and Power Control for Big Data Access Management Using GAT. GLOBECOM 2023: 4735-4740
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Jingcheng Fang, Ying He, F. Richard Yu, Jianqiang Li, Victor C. M. Leung:
Task Offloading and Resource Allocation for SLAM Back-End Optimization: A Rewardless Active Inference Approach. GLOBECOM 2023: 5487-5492
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Yujie Fang, Meng Li, F. Richard Yu, Pengbo Si, Ruizhe Yang:
Task Offloading and Resource Management for CBTC via Multi-Hop Ad Hoc Network and MEC. GLOBECOM 2023: 5493-5499
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Lin Hua, Kuiyu Li, Lunxin Cheng, Yifan Chen, Dongfu Yin, Fei Richard Yu:
Research on PCB Defect Detection Using 2D and 3D Segmentation. IAIC (2) 2023: 16-28
[c294]
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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
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Pengteng Li, Ying He, Dongfu Yin, F. Richard Yu, Pinhao Song:
Bagging R-CNN: Ensemble for Object Detection in Complex Traffic Scenes. ICASSP 2023: 1-5
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Nan Wang, Yinglei Teng, Gang Hu, F. Richard Yu:
Importance-Driven Data Collection for Efficient Online Learning Over the Wireless Edge. ICC 2023: 410-415
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Gang Hu, Yinglei Teng, Nan Wang, F. Richard Yu:
Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks. ICC 2023: 1175-1180
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Jiayuan Jin, Xiantao Jiang, Wei Li, Tian Song, F. Richard Yu:
An Efficient Merge Mode with Motion Vector Difference Approach for Versatile Video Coding. ICCBN 2023: 32-38
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Tianke Zhang, Xuangeng Chu, Yunfei Liu, Lijian Lin, Zhendong Yang, Zhengzhuo Xu, Chengkun Cao, Fei Yu, Changyin Zhou, Chun Yuan, Yu Li:
Accurate 3D Face Reconstruction with Facial Component Tokens. ICCV 2023: 8999-9008
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Yunfei Liu, Lijian Lin, Fei Yu, Changyin Zhou, Yu Li:
MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions. ICCV 2023: 22963-22972
[c287]
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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
[c286]
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Leiming Duan, Xiantao Jiang, Wei Li, Jiayuan Jin, Tian Song, Fei Richard Yu:
VVC Coding Unit Partitioning Decision based on Naive Bayes Theory. IPMV 2023: 62-65
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Wei Li, Xiantao Jiang, Jiayuan Jin, Tian Song, Fei Richard Yu:
A Fast CU Partitioning Algorithm Based on Texture Characteristics for VVC. IPMV 2023: 93-99
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Pengteng Li, Ying He, F. Richard Yu, Pinhao Song, Dongfu Yin, Guang Zhou:
IGG: Improved Graph Generation for Domain Adaptive Object Detection. ACM Multimedia 2023: 1314-1324
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Pincan Zhao, Changle Li, F. Richard Yu, Yuchuan Fu:
Enhanced 3D Sensor Deployment Method for Cooperative Sensing in Connected and Autonomous Vehicles. DIVANet 2023: 23-30
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Qitao Chen, Kuiyu Li, Dongfu Yin, F. Richard Yu:
Assessment of Perturbability in Module Parameters of Image Classification Networks. RICAI 2023: 975-979
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Hasan Abbasi, Marzieh Amini, F. Richard Yu:
Fog-Aware Adaptive YOLO for Object Detection in Adverse Weather. SAS 2023: 1-6
[c280]
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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
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Jingcheng Fang, Ying He, F. Richard Yu, Jianqiang Li, Victor C. M. Leung:
Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Networks: An Active Inference Approach. VTC Fall 2023: 1-5
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Fei Yu, Zhengmin Shi, Chaowen Liu, Menghan Lin, Tong-Xing Zheng, Boyang Liu, Guangyue Lu:
Secure Uplink Spatial Modulation Enabled by IRS. VTC Fall 2023: 1-6
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Xinyu Zeng, Ying He, F. Richard Yu, Guang Zhou:
A Novel Visual SLAM System for Autonomous Vehicles in Dynamic Environments. VTC Fall 2023: 1-5
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Fei Yu, Chaowen Liu, Zhengmin Shi, Boyang Liu, Menghan Lin, Tong-Xing Zheng:
IRS-Enabled Physical Layer Secure Transmission. WCSP 2023: 731-736
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  - journals/corr/abs-2302-10747
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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)
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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)
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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)
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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)
[i42]
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Yunfei Liu, Lijian Lin, Fei Yu, Changyin Zhou, Yu Li:
MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions. CoRR abs/2307.10008 (2023)
[i41]
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  - journals/corr/abs-2308-06272
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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)
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Xiaojie Wang, Beibei Wang, Yu Wu, Zhaolong Ning, Song Guo, Fei Richard Yu:
Trustworthy Edge Machine Learning: A Survey. CoRR abs/2310.17944 (2023)
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Zhaolong Ning, Tengfeng Li, Yu Wu, Xiaojie Wang, Qingqing Wu, Fei Richard Yu, Song Guo:
Intelligent-Reflecting-Surface-Assisted UAV Communications for 6G Networks. CoRR abs/2310.20242 (2023)
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Zisheng Xu, Qiao Yan, F. Richard Yu, Victor C. M. Leung:
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation. CoRR abs/2311.13233 (2023)
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Zhaolong Ning, Hao Hu, Xiaojie Wang, Qingqing Wu, Chau Yuen, F. Richard Yu, Yan Zhang:
Joint User Association, Interference Cancellation and Power Control for Multi-IRS Assisted UAV Communications. CoRR abs/2312.04786 (2023)
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Yujiao Hu, Qingmin Jia, Yuao Yao, Yong Lee, Mengjie Lee, Chenyi Wang, Xiaomao Zhou, Renchao Xie, F. Richard Yu:
Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review. CoRR abs/2312.16174 (2023)
2022
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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Xinying Kilpi-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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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Yanjie Dong, Haijun Zhang, Jianqiang Li, F. Richard Yu, Song Guo, Victor C. M. Leung:
An Online Zero-Forcing Precoder for Weighted Sum-Rate Maximization in Green CoMP Systems. IEEE Trans. Wirel. Commun. 21(9): 7566-7581 (2022)
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Wenjun Wu, Feng Yang, Yang Gao, Xiaoxi Wang, Pengbo Si, Yanhua Zhang, Fei Richard Yu:
Distributed Handoff Problem in Heterogeneous Networks With End-to-End Network Slicing: Decentralized Markov Decision Process-Based Modeling and Solution. IEEE Trans. Wirel. Commun. 21(12): 11222-11236 (2022)
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Shu Fu, Meng Zhang, Min Liu, Chen Chen, Fei Richard Yu:
Toward Energy-Efficient UAV-Assisted Wireless Networks Using an Artificial Intelligence Approach. IEEE Wirel. Commun. 29(5): 77-83 (2022)
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Wenjun Wu, Junyu Dong, Yang Sun, Fei Richard Yu:
Heterogeneous Markov Decision Process Model for Joint Resource Allocation and Task Scheduling in Network Slicing Enabled Internet of Vehicles. IEEE Wirel. Commun. Lett. 11(6): 1118-1122 (2022)
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