[T-ITS’23]DSORL: Data Source Optimization with Reinforcement Learning Scheme for Vehicular Named Data Networks Daniel Doe, Dawei Chen, Kyungtae Han, Haoxin Wang, Jiang (Linda) Xie, and Zhu Han IEEE Transactions on Intelligent Transportation Systems.
[ICASSP’23 WS]Confidence-Based Federated Distillation for Vision-Based Lane-Centering Yitao Chen, Dawei Chen, Haoxin Wang, Kyungtae Han, and Ming Zhao 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Satellite Workshop: Timely and Private Machine Learning over Networks.
[VTM’23]Metamobility: Connecting Future Mobility with Metaverse Haoxin Wang, Ziran Wang, Dawei Chen, Qiang Liu, Hongyu Ke, and Kyungtae Han IEEE Vehicular Technology Magazine, Accepted.
[ICC’23]High Definition Map Data Optimization for Autonomous Driving in Vehicular Named Data Networks Daniel Doe, Dawei Chen, Haoxin Wang, Kyungtae Han, Jiang (Linda) Xie, and Zhu Han 2023 IEEE International Conference on Communications, Accepted.
[ICC’23]EPAM: A Predictive Energy Model for Mobile AI Anik Mallik, Haoxin Wang, Jiang (Linda) Xie, Dawei Chen, and Kyungtae Han 2023 IEEE International Conference on Communications, Accepted.
[T-IV’23]FAIR: Towards Impartial Resource Allocation for Intelligent Vehicles with Automotive Edge Computing Haoxin Wang, Jiang (Linda) Xie, and Muhana Muslam IEEE Transactions on Intelligent Vehicles, vol.8, no.2, pp.1971-1982, 2023. (IF: 5.009)
2022
[TVT’22]Time Efficient Offloading Optimization in Automotive Multi-access Edge Computing Networks Using Mean-Field Games Yuhan Kang, Haoxin Wang, BaekGyu Kim, Jiang (Linda) Xie, Xiao-Ping Zhang, and Zhu Han IEEE Transactions on Vehicular Technology, Early Access. (IF: 6.239)
[T-IV’22]Love of Variety based Latency Analysis for High Definition Map Updating: Age of Information and Distributional Robust Perspectives Dawei Chen, Yifei Zhu, Dan Wang, Haoxin Wang, Jiang (Linda) Xie, Xiao-Ping Zhang, and Zhu Han IEEE Transactions on Intelligent Vehicles, Early Access. (IF: 5.009)
[TMC’22]LEAF + AIO: Edge-Assisted Energy-Aware Object Detection for Mobile Augmented Reality Haoxin Wang, BaekGyu Kim, Jiang (Linda) Xie, and Zhu Han IEEE Transactions on Mobile Computing, Early Access. (IF: 6.075)
[IOTJ’22]Mobility Digital Twin: Concept, Architecture, Case Studies, and Challenges Ziran Wang, Rohit Gupta, Kyungtae Han, Haoxin Wang, Akila Ganlath, Nejib Ammar, and Prashant Tiwari IEEE Internet of Things Journal, vol.9, no.18, pp.17452-17467, 2022. (IF: 10.238)
[SEC’22]Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing Yueyang Liu, Haoxin Wang, Zhipeng Cai, Dawei Chen, and Kyungtae Han The 7th ACM/IEEE Symposium on Edge Computing, San Jose, CA, December 2021.
[ICC’22]EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing Qiang Liu, Yuru Zhang, and Haoxin Wang IEEE International Conference on Communications, Seoul, South Korea, May 2022.
[MetroCAD’22]A Comparison for End-to-End Architectures for Connected Vehicles Sidi Lu, Nejib Ammar, Akila Ganlath, Haoxin Wang, and Weisong Shi IEEE 5th International Conference on Connected and Autonomous Driving, Detroit, Michigan, April 2022.
2021
[TGCN’21]Energy Drain of the Object Detection Processing Pipeline for Mobile Devices: Analysis and Implications Haoxin Wang, BaekGyu Kim, Jiang (Linda) Xie, and Zhu Han IEEE Transactions on Green Communications and Networking, vol.5, no.1, pp.41-60, 2021 (IF: 3.525)
[SEC’21]You Can Enjoy Augmented Reality While Running Around: An Edge-based Mobile AR System Haoxin Wang and Jiang (Linda) Xie The 6th ACM/IEEE Symposium on Edge Computing, San Jose, CA, December 2021.
Before 2021
[COMST’20]Architectural Design Alternatives based on Cloud/Edge/Fog Computing for Connected Vehicles Haoxin Wang, Tingting Liu, BaekGyu Kim, Chung-Wei Lin, Shinichi Shiraishi, Jiang (Linda) Xie, and Zhu Han IEEE Communications Surveys and Tutorials, vol.22, no.4, pp.2349-2377, Fourthquarter 2020. (IF: 25.25)
[INFOCOM’20]User Preference Based Energy-Aware Mobile AR System with Edge Computing Haoxin Wang and Jiang (Linda) Xie IEEE International Conference on Computer Communications, Toronto, ON, Canada, July 2020. (Acceptance ratio: 19.8%, 268 out of 1354)
[ICC’19]E-Auto: A Communication Scheme for Connected Vehicles with Edge-assisted Autonomous Driving Haoxin Wang, BaekGyu Kim, Jiang (Linda) Xie, and Zhu Han IEEE International Conference on Communications, Shanghai, China, May 2019.
[GLOBECOM’19]How is Energy Consumed in Smartphone Deep Learning Apps? Executing Locally vs. Remotely Haoxin Wang, BaekGyu Kim, Jiang (Linda) Xie, and Zhu Han IEEE Global Communications Conference, Waikoloa, HI, December 2019.
[SECON’18]Rethinking Mobile Devices’ Energy Efficiency in WLAN Management Services Haoxin Wang, Jiang (Linda) Xie, and Xingya Liu IEEE International Conference on Sensing, Communication and Networking, Hongkong, China, June 2018. (Acceptance ratio: 23.2%, 49 out of 211)
[ICC’18]A Smart Service Rebuilding Scheme Across Cloudlets via Mobile AR Frame Feature Mapping Haoxin Wang, Jiang (Linda) Xie, and Tao Han IEEE International Conference on Communications, Kansas City, MO, May 2018.
[ICC’17]V-Handoff: A Practical Energy Efficient Handoff for 802.11 Infrastructure Networks Haoxin Wang, Jiang (Linda) Xie, and Tao Han IEEE International Conference on Communications, Paris, France, May 2017.
Thesis
Fast and Energy-Efficient Mobility Management in Mobile Edge Computing Networks Haoxin Wang Ph.D. Thesis, Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, October 2020. (Advisor: Professor Jiang (Linda) Xie)
