Patent Analytics Based on Feature Vector Space Model: A Case of IoT. - Lei Lei 004; Jiaju Qi; Kan Zheng (IEEE Access, 2019)

Patent Analytic Citation-Based VSM: Challenges and Applications. - Jiaju Qi; Lei Lei 004; Kan Zheng; Xianbin Wang 001 (IEEE Access, 2020)

Federated Reinforcement Learning: Techniques, Applications, and Open Challenges. - Jiaju Qi; Qihao Zhou; Lei Lei 004; Kan Zheng (CoRR, 2021)

Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning. - Jiaju Qi; Lei Lei 004; Kan Zheng; Simon X. Yang; Xuemin Shen (IEEE Internet Things J., 2023)

Hierarchical Deep Reinforcement Learning for Charging Scheduling of Electric Buses with Uncertainties. - Jiaju Qi; Lei Lei 004; Thorsteinn Jonsson (ITSC, 2024)

Electric Bus Charging Schedules Relying on Real Data-Driven Targets Based on Hierarchical Deep Reinforcement Learning. - Jiaju Qi; Lei Lei 004; Thorsteinn Jonsson; Lajos Hanzo (IEEE Access, 2025)

Optimizing Electric Bus Charging Scheduling With Uncertainties Using Hierarchical Deep Reinforcement Learning. - Jiaju Qi; Lei Lei 004; Thorsteinn Jonsson; Dusit Niyato (IEEE Internet Things J., 2025)