2011.09-2015.07 哈尔滨理工大学 测控技术与通信工程学院 传感网技术 学士
2015.09-2016.06 北京科技大学 自动化学院 控制科学与工程 硕士

2024.10-至今 北京科技大学博士后

智能感知、能量采集及网络资源管理、自适应动态规划与深度强化学习

[1] Jiang C. P., Chen W. C., Chen X. C., Zhang S., Xiao W. D. Deep reinforcement learning approach with hybrid action space for mobile charging in wireless rechargeable sensor networks[J]. Expert Systems with Applications, 2024, Part C, 249:123752.
[2] Jiang C. P., Chen W. C., Wang J., Wang Z. Y., Xiao W. D. Deep Reinforcement Learning-based Joint Sequence Scheduling and Trajectory Planning in Wireless Rechargeable Sensor Networks[J]. IEEE Sensors Journal, 2024.
[3] Jiang C. P., Chen W. C., Wang J., Wang Z. Y., Xiao W. D. An improved deep Q-network approach for charging sequence scheduling with optimal mobile charging cost and charging efficiency in wireless rechargeable sensor networks[J]. Ad Hoc Networks, 2024, 157: 103458.
[4] Jiang C. P., Chen S., Li J. L., Xiao W. D., et al. Mobile Charging Scheduling Approach for Wireless Rechargeable Sensor Networks Based on Multiple Discrete-Action Space Deep Q-Network[J]. Applied Sciences, 2023, 13(14): 8513.
[5] Jiang C. P., Wang Z. Y., Chen S., Li J. L., Xiao W. D., et al. Attention-Shared Multi-Agent Actor–Critic-Based Deep Reinforcement Learning Approach for Mobile Charging Dynamic Scheduling in Wireless Rechargeable Sensor Networks[J]. Entropy, 2022, 24(7): 965.

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