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ORCIDJiang (Linda) Xie
- > Home > Persons > Jiang (Linda) Xie
Publications
- 2024
[j48]Daniel Mawunyo Doe, Dawei Chen, Kyungtae Han, Haoxin Wang, Jiang (Linda) Xie, Zhu Han:
Edge-Assisted Indexing for Highly Dynamic and Static Data in Mixed Reality Connected Autonomous Vehicles. Intell. Converged Networks 5(2): 167-179 (2024)- [c85]Anik Mallik, Dawei Chen, Kyungtae Han, Jiang (Linda) Xie, Zhu Han:
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles. ICC 2024: 1709-1714 - [c82]Daniel Mawunyo Doe, Dawei Chen, Kyungtae Han, Jiang (Linda) Xie, Zhu Han:
Enhancing AR/VR Performance via Optimized Edge-based Object Detection for Connected Autonomous Vehicles. IV 2024: 2841-2847 - [i19]Anik Mallik
, Dawei Chen, Kyungtae Han, Jiang (Linda) Xie, Zhu Han:
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles. CoRR abs/2403.08931 (2024) - 2023
- [j41]Daniel Mawunyo Doe, Dawei Chen, Kyungtae Han, Haoxin Wang, Jiang Xie, Zhu Han:
DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks. IEEE Trans. Intell. Transp. Syst. 24(10): 11225-11237 (2023) - [c80]Anik Mallik, Haoxin Wang, Jiang (Linda) Xie, Dawei Chen, Kyungtae Han:
EPAM: A Predictive Energy Model for Mobile AI. ICC 2023: 954-959 - [c79]Daniel Mawunyo Doe, Dawei Chen, Kyungtae Han, Haoxin Wang, Jiang (Linda) Xie, Zhu Han:
High Definition Map Data Optimization for Autonomous Driving in Vehicular Named Data Networks. ICC 2023: 3970-3976 - [c77]Daniel Mawunyo Doe, Dawei Chen, Kyungtae Han, Yanpeng Dai, Jiang (Linda) Xie, Zhu Han:
Real-Time Search-Driven Content Delivery in Vehicular Networks for AR/VR-Enabled Autonomous Vehicles. ICCC 2023: 1-6 - [c76]Xiaolong Tu, Anik Mallik, Dawei Chen, Kyungtae Han, Onur Altintas, Haoxin Wang, Jiang Xie:
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring Across Edge Devices. SEC 2023: 80-93 - [i13]Anik Mallik, Haoxin Wang, Jiang (Linda) Xie, Dawei Chen, Kyungtae Han:
EPAM: A Predictive Energy Model for Mobile AI. CoRR abs/2303.01509 (2023) - [i12]Yueyang Liu, Xiaolong Tu, Dawei Chen, Kyungtae Han, Onur Altintas, Haoxin Wang, Jiang (Linda) Xie:
Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges. CoRR abs/2307.09666 (2023) - [i11]Xiaolong Tu, Anik Mallik, Dawei Chen, Kyungtae Han, Onur Altintas, Haoxin Wang, Jiang (Linda) Xie:
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices. CoRR abs/2310.18329 (2023)
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