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Joint Optimization of Model Partition and Resource Allocation for Split Federated Learning over Vehicular Edge Networks Journal article
Wu Maoqiang, Yang Ruibin, Huang Xumin, Wu Yuan, Kang Jiawen, Xie Shengli. Joint Optimization of Model Partition and Resource Allocation for Split Federated Learning over Vehicular Edge Networks[J]. IEEE Transactions on Vehicular Technology, 2024, 73(10), 15860-15865.
Authors:  Wu Maoqiang;  Yang Ruibin;  Huang Xumin;  Wu Yuan;  Kang Jiawen; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:6.1/6.5 | Submit date：2024/06/05
Split Federated Learning  Model Partition  Resource Allocation  Vehicular Edge Networks  
Long-Term Energy Consumption Minimization in NOMA-Enabled Vehicular Edge Computing Networks Journal article
Qian Liping, Dong Xinyu, Wu Mengru, Wu Yuan, Zhao Lian. Long-Term Energy Consumption Minimization in NOMA-Enabled Vehicular Edge Computing Networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(10), 13717-13728.
Authors:  Qian Liping;  Dong Xinyu;  Wu Mengru;  Wu Yuan;  Zhao Lian
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:7.9/8.3 | Submit date：2024/07/04
Mobile Edge Computing  Non-orthogonal Multiple Access  Resource Allocation  Lyapunov Optimization  Vehicular Networks  
Digital Twin-Assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffics Journal article
Wang, Xiaoxu, Hao, Min, Wu, Maoqiang, Shang, Chen, Yu, Rong, Kang, Jiawen, Xiong, Zehui, Wu, Yuan. Digital Twin-Assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffics[J]. IEEE Internet of Things Journal, 2024.
Authors:  Wang, Xiaoxu;  Hao, Min;  Wu, Maoqiang;  Shang, Chen;  Yu, Rong; et al.
Favorite | TC[Scopus]:0  IF:8.2/9.0 | Submit date：2024/10/10
Dt  Safety Control  Rstc  Vehicular Networks  Mixed-autonomy Traffic  
Predictive Computation Offloading and Resource Allocation in DT-Empowered Vehicular Networks Journal article
Lu Binbin, Fan Bo, Wu Yuan, Qian Liping, Zhang Haixia, Lu Rongxing. Predictive Computation Offloading and Resource Allocation in DT-Empowered Vehicular Networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(6), 5474-5487.
Authors:  Lu Binbin;  Fan Bo;  Wu Yuan;  Qian Liping;  Zhang Haixia; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:7.9/8.3 | Submit date：2024/02/22
Digital Twin  Vehicular Networks  Computation Offloading  Resource Allocation  Pairing Prediction  Deep Reinforcement Learning  
Multi-User Layer-Aware Online Container Migration in Edge-Assisted Vehicular Networks Journal article
Tang Zhiqing, Mou Fangyi, Lou Jiong, Jia Weijia, Wu Yuan, Zhao Wei. Multi-User Layer-Aware Online Container Migration in Edge-Assisted Vehicular Networks[J]. IEEE/ACM Transactions on Networking, 2024, 32(2), 1807-1822.
Authors:  Tang Zhiqing;  Mou Fangyi;  Lou Jiong;  Jia Weijia;  Wu Yuan; et al.
Favorite | TC[WOS]:3 TC[Scopus]:6  IF:3.0/3.6 | Submit date：2024/02/22
Layer-aware Scheduling  Container Migration  Edge Computing  Vehicular Networks  
Sensing-Assisted Communication in Vehicular Networks with Intelligent Surface Journal article
Meng, Kaitao, Wu, Qingqing, Chen, Wen, Li, Deshi. Sensing-Assisted Communication in Vehicular Networks with Intelligent Surface[J]. IEEE Transactions on Vehicular Technology, 2024, 73(1), 876-893.
Authors:  Meng, Kaitao;  Wu, Qingqing;  Chen, Wen;  Li, Deshi
Favorite | TC[WOS]:11 TC[Scopus]:16  IF:6.1/6.5 | Submit date：2024/02/22
Intelligent Surface  Integrated Sensing And Communication  Sensing-assisted Communication  Beamforming  Phase Shift Design  Vehicular Networks  
Federated Split Learning with Data and Label Privacy Preservation in Vehicular Networks Journal article
Wu Maoqiang, Cheng Guoliang, Ye Dongdong, Kang Jiawen, Yu Rong, Wu Yuan, Pan Miao. Federated Split Learning with Data and Label Privacy Preservation in Vehicular Networks[J]. IEEE Transactions on Vehicular Technology, 2024, 73(1), 1223-1238.
Authors:  Wu Maoqiang;  Cheng Guoliang;  Ye Dongdong;  Kang Jiawen;  Yu Rong; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:6.1/6.5 | Submit date：2024/02/22
Contract Theory  Differential Privacy  Federated Split Learning  Incentive Mechanism  Vehicular Networks  
Long-Term Energy Consumption Minimization in NOMA-Enabled Vehicular Edge Computing Conference paper
Wu Mengru, Dong Xinyu, Qian Liping, Li Mingqing, Wu Yuan. Long-Term Energy Consumption Minimization in NOMA-Enabled Vehicular Edge Computing[C]:IEEE, 2023.
Authors:  Wu Mengru;  Dong Xinyu;  Qian Liping;  Li Mingqing;  Wu Yuan
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/02/22
Lyapunov Optimization  Mobile Edge Computing  Non-orthogonal Multiple Access  Resource Allocation  Vehicular Networks  
Efficient DRL-based HD map Dissemination in V2I Communications Conference paper
Chengkai Lou, Fen Hou. Efficient DRL-based HD map Dissemination in V2I Communications[C], 2022, 5041-5046.
Authors:  Chengkai Lou;  Fen Hou
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date：2023/01/30
Vehicular Networks  High-definition Maps  Power Allocation  Data Dissemination  Deep Reinforcement Learning  
Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering Journal article
Qian Liping, Feng Anqi, Yu Ningning, Xu Wenchao, Wu Yuan. Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering[J]. IEEE Internet of Things Journal, 2020, 7(8), 7181-7193.
Authors:  Qian Liping;  Feng Anqi;  Yu Ningning;  Xu Wenchao;  Wu Yuan
Favorite | TC[WOS]:15 TC[Scopus]:18  IF:8.2/9.0 | Submit date：2021/03/11
Autoregressive Moving Average (Ma) Model  Quantized Adaptive Kalman Filter (Qakf)  Vehicle State Predication  Vehicular Networks