Selected Publications

Below are a list of recent and selected publications. An up-to-date full publication list can be found here.

Refereed Publications

  • DeepEn2023: Energy Datasets for Edge Artificial Intelligence [pdf][presentation][dataset]
    Xiaolong Tu, Anik Mallik, Jiang Xie, and Haoxin Wang, in Proceedings of Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS ’23) Workshop on Tackling Climate Change with Machine Learning, 2023. 
  • Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices [pdf][presentation][code][dataset]
    Xiaolong Tu, Anik Mallik, Dawei Chen, Kyungtae Han, Onur Altintas, Haoxin Wang, and Jiang Xie, in Proceedings of The Eighth ACM/IEEE Symposium on Edge Computing (SEC), 2023.
    (Acceptance Ratio: 18/71=25.3%)
  • Poster: Real-Time Object Substitution for Mobile Diminished Reality with Edge Computing [pdf]
    Hongyu Ke and Haoxin Wang, in Proceedings of The Eighth ACM/IEEE Symposium on Edge Computing (SEC), 2023.
  • Metamobility: Connecting Future Mobility with the Metaverse [pdf]
    Haoxin Wang, Ziran Wang, Dawei Chen, Qiang Liu, Hongyu Ke, and Kyungtae Han, in IEEE Vehicular Technology Magazine, 2023.
  • DSORL: Data Source Optimization with Reinforcement Learning Scheme for Vehicular Named Data Networks [pdf]
    Daniel Doe, Dawei Chen, Kyungtae Han, Haoxin Wang, Jiang Xie, and Zhu Han, in IEEE Transactions on Intelligent Transportation Systems, 2023.
  • Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges [pdf]
    Yueyang Liu, Xiaolong Tu, Dawei Chen, Kyungtae Han, Onur Altintas, Haoxin Wang, and Jiang Xie, in Proceedings of The 20th IEEE International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2023.
  • LEAF + AIO: Edge-Assisted Energy-Aware Object Detection for Mobile Augmented Reality [pdf]
    Haoxin Wang, BaekGyu Kim, Jiang Xie, and Zhu Han, in IEEE Transactions on Mobile Computing, 2023.
  • FAIR: Towards Impartial Resource Allocation for Intelligent Vehicles with Automotive Edge Computing [pdf]
    Haoxin Wang, Jiang Xie, and Muhana Muslam, in IEEE Transactions on Intelligent Vehicles, 2023.
  • Time Efficient Offloading Optimization in Automotive Multi-access Edge Computing Networks Using Mean-Field Games [pdf]
    Yuhan Kang, Haoxin Wang, BaekGyu Kim, Jiang Xie, Xiao-Ping Zhang, and Zhu Han, in IEEE Transactions on Vehicular Technology, 2023.
  • Love of Variety based Latency Analysis for High Definition Map Updating: Age of Information and Distributional Robust Perspectives [pdf]
    Dawei Chen, Yifei Zhu, Dan Wang, Haoxin Wang, Jiang Xie, Xiao-Ping Zhang, and Zhu Han, in IEEE Transactions on Intelligent Vehicles, 2023.
  • Confidence-Based Federated Distillation for Vision-Base Lane Centering [pdf]
    Yitao Chen, Dawei Chen, Haoxin Wang, Kyungtae Han, and Ming Zhao, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023) Satellite Workshop: Timely and Private Machine Learning over Networks, 2023.
  • High Definition Map Data Optimization for Autonomous Driving in Vehicular Named Data Networks [pdf]
    Daniel Doe, Dawei Chen, Haoxin Wang, Kyungtae Han, Jiang Xie, and Zhu Han, in Proceedings of IEEE International Conference on Communications (ICC), 2023.
  • EPAM: A Predictive Energy Model for Mobile AI [pdf]
    Anik Mallik, Haoxin Wang, Jiang Xie, Dawei Chen, and Kyungtae Han, in Proceedings of IEEE International Conference on Communications (ICC), 2023.
  • Adaptive Delivery for High Definition Map Using A Multi-Arm Bandit Approach [pdf]
    Dawei Chen, Haoxin Wang, and Kyungtae Han, in Proceedings of IEEE 32nd Wireless and Optical Communications Conference (WOCC), 2023.
  • Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing [pdf]
    Yueyang Liu, Haoxin Wang, Zhipeng Cai, Dawei Chen, and Kyungtae Han, in Proceedings of The Seventh ACM/IEEE Symposium on Edge Computing (SEC), 2022.
  • EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing [pdf]
    Qiang Liu, Yuru Zhang, and Haoxin Wang, in Proceedings of IEEE International Conference on Communications (ICC), 2022.
  • A Comparison for End-to-End Architectures for Connected Vehicles [pdf]
    Sidi Lu, Nejib Ammar, Akila Ganlath, Haoxin Wang, and Weisong Shi, in Proceedings of The Fifth International Conference on Connected and Autonomous Driving (MetroCAD), 2022.
  • Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges [pdf]
    Ziran Wang, Rohit Gupta, Kyungtae Han, Haoxin Wang, Akila Ganlath, Nejib Ammar, and Prashant Tiwari, in IEEE Internet of Things Journal, 2022.
  • Energy Drain of the Object Detection Processing Pipeline for Mobile Devices: Analysis and Implications [pdf]
    Haoxin Wang, BaekGyu Kim, Jiang Xie, and Zhu Han, in IEEE Transactions on Green Communications and Networking, 2021.
  • You Can Enjoy Augmented Reality While Running Around: An Edge-based Mobile AR System [pdf]
    Haoxin Wang and Jiang Xie, in Proceedings of The Sixth ACM/IEEE Symposium on Edge Computing (SEC), 2021.
  • User Preference Based Energy-Aware Mobile AR System with Edge Computing [pdf][presentation]
    Haoxin Wang and Jiang Xie, in Proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2020.
    (Acceptance Ratio: 268/1354=19.8%)
  • Architectural Design Alternatives based on Cloud/Edge/Fog Computing for Connected Vehicles [pdf]
    Haoxin Wang, Tingting Liu, BaekGyu Kim, Chung-Wei Lin, Shinichi Shiraishi, Jiang Xie, and Zhu Han, in IEEE Communications Surveys and Tutorials, 2020.
  • E-Auto: A Communication Scheme for Connected Vehicles with Edge-assisted Autonomous Driving [pdf]
    Haoxin Wang, BaekGyu Kim, Jiang Xie, and Zhu Han, in Proceedings of IEEE International Conference on Communications (ICC), 2019.
  • How is Energy Consumed in Smartphone Deep Learning Apps? Executing Locally vs. Remotely [pdf]
    Haoxin Wang, BaekGyu Kim, Jiang Xie, and Zhu Han, in Proceedings of IEEE Global Communications Conference (GLOBECOM), 2019.
  • Rethinking Mobile Devices’ Energy Efficiency in WLAN Management Services [pdf]
    Haoxin Wang, Jiang Xie, and Xingya Liu, in Proceedings of International Conference on Sensing, Communication and Networking (SECON), 2018.
    (Acceptance Ratio: 49/211=23.3%)
  • A Smart Service Rebuilding Scheme Across Cloudlets via Mobile AR Frame Feature Mapping [pdf]
    Haoxin Wang, Jiang Xie, and Tao Han, in Proceedings of IEEE International Conference on Communications (ICC), 2018.
  • V-Handoff: A Practical Energy Efficient Handoff for 802.11 Infrastructure Networks [pdf]
    Haoxin Wang, Jiang Xie, and Tao Han, in Proceedings of IEEE International Conference on Communications (ICC), 2017.

Granted U.S. Patents

  • Systems and Methods for Improving Task Offload Scheduling in an Edge-Computing Environment [Google Patents]
    Haoxin Wang, and BaekGyu Kim, US11688208B2.
  • Data Offloading Rate Determination Using Mean Field Games [Google Patents]
    Yuhan Kang, Haoxin Wang, and BaekGyu Kim, US11659028B2.
  • Systems and Methods for Generating a Task Offloading Strategy for a Vehicular Edge-Computing Environment [Google Patents]
    Haoxin Wang and BaekGyu Kim, US11427215B2.
  • Systems and Methods for Simulating Edge-Computing Deployment in Diverse Terrains [Google Patents]
    Haoxin Wang and BaekGyu Kim, US11585667B2.