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Maoqiang Wu
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2020 – today
- 2025
- [j12]Qiyong Chen
, Chunhai Li, Mingfeng Chen, Maoqiang Wu, Gen Zhang:
Digital twin assisted multi-task offloading for vehicular edge computing under SAGIN with blockchain. IET Commun. 19(1) (2025) - [j11]Xiaoxu Wang
Digital-Twin-Assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffic. IEEE Internet Things J. 12(1): 472-487 (2025) - [j10]Zirui Zhang, Xumin Huang
Toward High-Accuracy and Low-Latency Group Vehicle Trajectory Prediction With Linear UNet-Enhanced Fully Connected Spatial-Temporal Graph Neural Network. IEEE Internet Things J. 12(9): 11797-11811 (2025) - [j9]Wuchang Zhong, Jinglin Huang, Maoqiang Wu, Weinan Luo, Rong Yu:
Large language model based system with causal inference and Chain-of-Thoughts reasoning for traffic scene risk assessment. Knowl. Based Syst. 319: 113630 (2025) - 2024
- [j8]Maoqiang Wu
Federated Split Learning With Data and Label Privacy Preservation in Vehicular Networks. IEEE Trans. Veh. Technol. 73(1): 1223-1238 (2024) - [j7]Maoqiang Wu
Joint Optimization of Model Partition and Resource Allocation for Split Federated Learning Over Vehicular Edge Networks. IEEE Trans. Veh. Technol. 73(10): 15860-15865 (2024) - [j6]Yaqi Hu
D-Tracking: Digital Twin Enabled Trajectory Tracking System of Autonomous Vehicles. IEEE Trans. Veh. Technol. 73(11): 16457-16469 (2024) - [j5]Maoqiang Wu, Guoliang Cheng
Split Learning with Differential Privacy for Integrated Terrestrial and Non-Terrestrial Networks. IEEE Wirel. Commun. 31(3): 177-184 (2024) - 2023
- [c9]Maoqiang Wu, Guoliang Cheng, Pavana Prakash
Resting Your Car for Cash: Incentive Mechanism Based TNC Car Scheduling for Carbon Neutrality. ITSC 2023: 1429-1434 - 2022
- [j4]Dian Shi
To Talk or to Work: Dynamic Batch Sizes Assisted Time Efficient Federated Learning Over Future Mobile Edge Devices. IEEE Trans. Wirel. Commun. 21(12): 11038-11050 (2022) - 2021
- [j3]Maoqiang Wu, Dongdong Ye, Chaorui Zhang, Rong Yu:
Spears and shields: attacking and defending deep model co-inference in vehicular crowdsensing networks. EURASIP J. Adv. Signal Process. 2021(1): 114 (2021) - [j2]Maoqiang Wu
Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach. IEEE Internet Things J. 8(13): 10639-10651 (2021) - [c8]Pavana Prakash
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices. GLOBECOM 2021: 1-6 - [c7]Xinyue Zhang
Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data. WACV 2021: 1168-1177 - [i2]Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan:
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices. CoRR abs/2111.00637 (2021) - 2020
- [i1]Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Van Nguyen, Rong Yu, Miao Pan, Stephen T. Wong:
Evaluation of Inference Attack Models for Deep Learning on Medical Data. CoRR abs/2011.00177 (2020)
2010 – 2019
- 2019
- [j1]Jiawen Kang
Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks. IEEE Internet Things J. 6(3): 4660-4670 (2019) - 2017
- [c6]Dongdong Ye, Maoqiang Wu, Jiawen Kang
Optimized Workload Allocation in Vehicular Edge Computing: A Sequential Game Approach. ChinaCom (2) 2017: 542-551 - [c5]Maoqiang Wu, Dongdong Ye, Jiawen Kang
Collaborative data collection with hybrid vehicular crowd sensing in smart cities. WCSP 2017: 1-6 - 2016
- [c4]Dongdong Ye, Maoqiang Wu, Shensheng Tang, Rong Yu:
Scalable Fog Computing with Service Offloading in Bus Networks. CSCloud 2016: 247-251 - [c3]Maoqiang Wu, Dongdong Ye, Shensheng Tang, Rong Yu:
Collaborative vehicle sensing in bus networks: A Stackelberg game approach. ICCC 2016: 1-6 - [c2]Xumin Huang, Jiawen Kang
A Hierarchical Pseudonyms Management Approach for Software-Defined Vehicular Networks. VTC Spring 2016: 1-5 - [c1]Maoqiang Wu, Dongdong Ye, Jiawen Kang
Optimal and Cooperative Energy Replenishment in Mobile Rechargeable Networks. VTC Spring 2016: 1-5
Coauthor Index
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