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2020 – today
- 2024
[b1]Jialin Hao:
Machine learning for road active safety in vehicular networks. (Apprentissage pour la sécurité dans les réseaux véhiculaires). Polytechnic Institute of Paris, Palaiseau, France, 2024- [j4]Jialin Hao
, Rola Naja, Djamal Zeghlache:
Adaptive federated reinforcement learning for critical realtime communications in UAV assisted vehicular networks. Comput. Networks 247: 110456 (2024) - [j3]Jialin Hao, He Yan, Hui Liu, Wenshuo Xu, Zhou Min, Daiyin Zhu:
Spaceborne Synthetic Aperture Radar Aerial Moving Target Detection Based on Two-Dimensional Velocity Search. Remote. Sens. 16(13): 2392 (2024) - [j2]Hui Liu, He Yan, Jialin Hao, Wenshuo Xu, Zhou Min, Daiyin Zhu:
Application of Digital Twin Technology in Synthetic Aperture Radar Ground Moving Target Intelligent Detection System. Remote. Sens. 16(15): 2863 (2024) - [j1]He Yan, Hui Liu, Jialin Hao, Wenshuo Xu, Jingdong Zhang, Di Wu, Xudong Wang, Gong Zhang, Daiyin Zhu:
A New Method of Robust Ground Moving Target Detection Under Different Backgrounds of Airborne SAR Based on Spatial Deformable Module. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13000-13015 (2024) - 2023
- [c3]Jialin Hao, Rola Naja, Djamal Zeghlache:
GL-DEAR: Global Dynamic Drone Assisted Lane Change Maneuver for Risk Prevention and Collision Avoidance. ICC 2023: 6584-6590 - [c2]Rui Zhou, Jialin Hao, Ying Zou, Yushi Zhu, Chi Zhang, Fusheng Jin:
Reimagining China-US Relations Prediction: A Multi-modal, Knowledge-Driven Approach with KDSCINet. ICONIP (2) 2023: 317-331 - [i1]Jialin Hao:
Dataset Generation for Drone Optimal Placement Using Machine Learning. CoRR abs/2310.00009 (2023) - 2022
- [c1]Jialin Hao, Rola Naja, Djamal Zeghlache:
Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function. WiMob 2022: 314-320
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