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Journal Articles
- 2024
[j8]Kai Liu
, Xincao Xu, Penglin Dai, Biwen Chen:
Cooperative Sensing and Uploading for Quality-Cost Tradeoff of Digital Twins in VEC. IEEE Trans. Consumer Electron. 70(1): 3614-3625 (2024)- [j7]Xincao Xu, Kai Liu, Penglin Dai, Ruitao Xie, Jingjing Cao, Jiangtao Luo:
Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 25(6): 4876-4891 (2024) - 2023
- [j6]Xincao Xu, Kai Liu, Penglin Dai, Feiyu Jin, Hualing Ren, Choujun Zhan, Songtao Guo:
Joint task offloading and resource optimization in NOMA-based vehicular edge computing: A game-theoretic DRL approach. J. Syst. Archit. 134: 102780 (2023) - [j5]Chunhui Liu, Kai Liu, Hualing Ren, Xincao Xu, Ruitao Xie, Jingjing Cao:
RtDS: real-time distributed strategy for multi-period task offloading in vehicular edge computing environment. Neural Comput. Appl. 35(17): 12373-12387 (2023) - 2021
- [j4]Ke Xiao, Kai Liu, Xincao Xu, Yi Zhou, Liang Feng:
Efficient fog-assisted heterogeneous data services in software defined VANETs. J. Ambient Intell. Humaniz. Comput. 12(1): 261-273 (2021) - [j3]Ke Xiao, Kai Liu, Xincao Xu, Liang Feng, Zhou Wu, Qiangwei Zhao:
Cooperative coding and caching scheduling via binary particle swarm optimization in software-defined vehicular networks. Neural Comput. Appl. 33(5): 1467-1478 (2021) - 2020
- [j2]Xincao Xu, Kai Liu, Ke Xiao, Liang Feng, Zhou Wu, Songtao Guo:
Vehicular Fog Computing Enabled Real-Time Collision Warning via Trajectory Calibration. Mob. Networks Appl. 25(6): 2482-2494 (2020) - 2019
- [j1]Kai Liu, Xincao Xu, Mengliang Chen, Bingyi Liu, Libing Wu, Victor C. S. Lee:
A Hierarchical Architecture for the Future Internet of Vehicles. IEEE Commun. Mag. 57(7): 41-47 (2019)
Conference and Workshop Papers
- 2022
- [c4]Xincao Xu, Kai Liu, Qisen Zhang, Hao Jiang, Ke Xiao, Jiangtao Luo:
Age of View: A New Metric for Evaluating Heterogeneous Information Fusion in Vehicular Cyber-Physical Systems. ITSC 2022: 3762-3767 - 2020
- [c3]Yi Zhou, Kai Liu, Xincao Xu, Songtao Guo, Zhou Wu, Victor Lee, Sang Hyuk Son:
Distributed Scheduling for Time-Critical Tasks in a Two-layer Vehicular Fog Computing Architecture. CCNC 2020: 1-7 - [c2]Chunhui Liu, Kai Liu, Xincao Xu, Hualing Ren, Feiyu Jin, Songtao Guo:
Real-time Task Offloading for Data and Computation Intensive Services in Vehicular Fog Computing Environments. MSN 2020: 360-366 - [c1]Yi Zhou, Kai Liu, Xincao Xu, Chunhui Liu, Liang Feng, Chao Chen:
Multi-period Distributed Delay-Sensitive Tasks Offloading in a Two-Layer Vehicular Fog Computing Architecture. NCAA 2020: 461-474
Informal and Other Publications
- 2022
- [i6]Xincao Xu, Kai Liu, Qisen Zhang, Hao Jiang, Ke Xiao, Jiangtao Luo:
Age of View: A New Metric for Evaluating Heterogeneous Information Fusion in Vehicular Cyber-Physical Systems. CoRR abs/2208.00358 (2022) - [i5]Xincao Xu, Kai Liu, Penglin Dai, Ruitao Xie, Jiangtao Luo:
Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach. CoRR abs/2209.12265 (2022) - [i4]Xincao Xu, Kai Liu, Penglin Dai, Feiyu Jin, Hualing Ren, Choujun Zhan, Songtao Guo:
Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach. CoRR abs/2209.12749 (2022) - [i3]Xincao Xu, Kai Liu, Penglin Dai, Biwen Chen:
Enabling Digital Twin in Vehicular Edge Computing: A Multi-Agent Multi-Objective Deep Reinforcement Learning Solution. CoRR abs/2210.17386 (2022) - [i2]Xincao Xu, Kai Liu, Penglin Dai, Hao Zhang, Ke Xiao:
Maximizing Quality and Minimizing Cost for VCPS in ISAC-Based Vehicular Networks: A Deep Reinforcement Learning Approach. CoRR abs/2211.00007 (2022) - 2020
- [i1]Xincao Xu, Kai Liu, Ke Xiao, Liang Feng, Zhou Wu, Songtao Guo:
Vehicular Fog Computing Enabled Real-time Collision Warning via Trajectory Calibration. CoRR abs/2005.11508 (2020)
Coauthor Index
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