Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function. - Jialin Hao; Rola Naja; Djamal Zeghlache (WiMob, 2022)

GL-DEAR: Global Dynamic Drone Assisted Lane Change Maneuver for Risk Prevention and Collision Avoidance. - Jialin Hao; Rola Naja; Djamal Zeghlache (ICC, 2023)

Reimagining China-US Relations Prediction: A Multi-modal, Knowledge-Driven Approach with KDSCINet. - Rui Zhou; Jialin Hao; Ying Zou 023; Yushi Zhu; Chi Zhang; Fusheng Jin (ICONIP (2), 2023)

Dataset Generation for Drone Optimal Placement Using Machine Learning. - Jialin Hao (CoRR, 2023)

Adaptive federated reinforcement learning for critical realtime communications in UAV assisted vehicular networks. - Jialin Hao; Rola Naja; Djamal Zeghlache (Comput. Networks, 2024)

A New Method of Robust Ground Moving Target Detection Under Different Backgrounds of Airborne SAR Based on Spatial Deformable Module. - He Yan; Hui Liu; Jialin Hao; Wenshuo Xu; Jingdong Zhang; Di Wu 015; Xudong Wang; Gong Zhang 002; Daiyin Zhu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Machine learning for road active safety in vehicular networks. (Apprentissage pour la sécurité dans les réseaux véhiculaires). - Jialin Hao (2024)

Spaceborne Synthetic Aperture Radar Aerial Moving Target Detection Based on Two-Dimensional Velocity Search. - Jialin Hao; He Yan; Hui Liu; Wenshuo Xu; Zhou Min; Daiyin Zhu (Remote. Sens., 2024)

Application of Digital Twin Technology in Synthetic Aperture Radar Ground Moving Target Intelligent Detection System. - Hui Liu; He Yan; Jialin Hao; Wenshuo Xu; Zhou Min; Daiyin Zhu (Remote. Sens., 2024)