Haoxin Wang
Orcid: 0000-0002-8732-6200Affiliations:
- Georgia State University, Atlanta, GA, USA
According to our database1,
Haoxin Wang
authored at least 33 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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on amai-gsu.us
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Bibliography
2025
PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search.
CoRR, October, 2025
CoRR, October, 2025
Proceedings of the 26th International Workshop on Mobile Computing Systems and Applications, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
Crowdsourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing.
IEEE Trans. Veh. Technol., September, 2024
Edge-Assisted Indexing for Highly Dynamic and Static Data in Mixed Reality Connected Autonomous Vehicles.
Intell. Converged Networks, 2024
CarbonCP: Carbon-Aware DNN Partitioning with Conformal Prediction for Sustainable Edge Intelligence.
CoRR, 2024
2023
LEAF + AIO: Edge-Assisted Energy-Aware Object Detection for Mobile Augmented Reality.
IEEE Trans. Mob. Comput., October, 2023
DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks.
IEEE Trans. Intell. Transp. Syst., October, 2023
IEEE Veh. Technol. Mag., September, 2023
Time Efficient Offloading Optimization in Automotive Multi-Access Edge Computing Networks Using Mean-Field Games.
IEEE Trans. Veh. Technol., May, 2023
FAIR: Towards Impartial Resource Allocation for Intelligent Vehicles With Automotive Edge Computing.
IEEE Trans. Intell. Veh., February, 2023
Love of Variety Based Latency Analysis for High Definition Map Updating: Age of Information and Distributional Robust Perspectives.
IEEE Trans. Intell. Veh., February, 2023
Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges.
CoRR, 2023
Proceedings of the 32nd Wireless and Optical Communications Conference, 2023
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring Across Edge Devices.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023
Poster: Real-Time Object Substitution for Mobile Diminished Reality with Edge Computing.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023
Proceedings of the IEEE International Conference on Communications, 2023
High Definition Map Data Optimization for Autonomous Driving in Vehicular Named Data Networks.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
IEEE Internet Things J., 2022
Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022
Proceedings of the IEEE International Conference on Communications, 2022
2021
Energy Drain of the Object Detection Processing Pipeline for Mobile Devices: Analysis and Implications.
IEEE Trans. Green Commun. Netw., 2021
You Can Enjoy Augmented Reality While Running Around: An Edge-based Mobile AR System.
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021
2020
Architectural Design Alternatives Based on Cloud/Edge/Fog Computing for Connected Vehicles.
IEEE Commun. Surv. Tutorials, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
2019
E-Auto: A Communication Scheme for Connected Vehicles with Edge-Assisted Autonomous Driving.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
How Is Energy Consumed in Smartphone Deep Learning Apps? Executing Locally vs. Remotely.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018
A Smart Service Rebuilding Scheme across Cloudlets via Mobile AR Frame Feature Mapping.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
Proceedings of the IEEE International Conference on Communications, 2017