| A comprehensive 3-dimensional random mobility modeling framework for airborne networks J Xie, Y Wan, B Wang, S Fu, K Lu, JH Kim IEEE Access 6, 22849-22862, 2018 | 38 | 2018 |
| On batch-processing based coded computing for heterogeneous distributed computing systems B Wang, J Xie, K Lu, Y Wan, S Fu IEEE Transactions on Network Science and Engineering 8 (3), 2438-2454, 2021 | 35 | 2021 |
| Enabling high-performance onboard computing with virtualization for unmanned aerial systems B Wang, J Xie, S Li, Y Wan, S Fu, K Lu 2018 International Conference on Unmanned Aircraft Systems (ICUAS), 202-211, 2018 | 21 | 2018 |
| Coding for heterogeneous uav-based networked airborne computing B Wang, J Xie, K Lu, Y Wan, S Fu 2019 IEEE Globecom Workshops (GC Wkshps), 1-6, 2019 | 15 | 2019 |
| Computing in the air: An open airborne computing platform B Wang, J Xie, S Li, Y Wan, Y Gu, S Fu, K Lu IET Communications 14 (15), 2410-2419, 2020 | 11 | 2020 |
| Darl1n: Distributed multi-agent reinforcement learning with one-hop neighbors B Wang, J Xie, N Atanasov 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 9 | 2022 |
| 3-d trajectory modeling for unmanned aerial vehicles B Wang, J Xie, Y Wan, GA Guijarro Reyes, LR Garcia Carrillo AIAA Scitech 2019 Forum, 1061, 2019 | 7 | 2019 |
| Coding for distributed multi-agent reinforcement learning B Wang, J Xie, N Atanasov 2021 IEEE International Conference on Robotics and Automation (ICRA), 10625 …, 2021 | 5 | 2021 |
| Data-driven multi-uav navigation in large-scale dynamic environments under wind disturbances B Wang, J Xie, J Chen AIAA Scitech 2021 Forum, 1284, 2021 | 5 | 2021 |
| CFL-HC: a coded federated learning framework for heterogeneous computing scenarios D Wang, B Wang, J Zhang, K Lu, J Xie, Y Wan, S Fu 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 4 | 2021 |
| Multi-agent reinforcement learning based coded computation for mobile ad hoc computing B Wang, J Xie, K Lu, Y Wan, S Fu ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 4 | 2021 |
| Dynamic coded distributed convolution for uav-based networked airborne computing B Zhou, J Xie, B Wang 2022 International Conference on Unmanned Aircraft Systems (ICUAS), 955-961, 2022 | 3 | 2022 |
| Learning and batch-processing based coded computation with mobility awareness for networked airborne computing B Wang, J Xie, K Lu, Y Wan, S Fu IEEE Transactions on Vehicular Technology, 2022 | 2 | 2022 |
| Coded distributed path planning for unmanned aerial vehicles C Douma, B Wang, J Xie AIAA AVIATION 2021 FORUM, 2378, 2021 | 2 | 2021 |
| Exploring Networked Airborne Computing: A Comprehensive Approach with Advanced Simulator and Hardware Testbed H Zhang, B Wang, R Wu, J Xie, Y Wan, S Fu, K Lu Unmanned Systems, 2023 | | 2023 |
| UAV-based Networked Airborne Computing Simulator and Testbed Design and Implementation B Wang, J Xie, K Ma, Y Wan 2023 International Conference on Unmanned Aircraft Systems (ICUAS), 479-486, 2023 | | 2023 |
| Enabling Technologies and Applications for Networked Airborne Computing B Wang University of California, San Diego, 2023 | | 2023 |
| An SDR-based LTE System for Unmanned Aerial Systems J Zhang, B Wang, D Wang, S Fu, K Lu, Y Wan, J Xie 2022 International Conference on Unmanned Aircraft Systems (ICUAS), 1448-1454, 2022 | | 2022 |
