| A multi-agent reinforcement learning method for swarm robots in space collaborative exploration Y Huang, S Wu, Z Mu, X Long, S Chu, G Zhao 2020 6th international conference on control, automation and robotics (ICCAR …, 2020 | 36 | 2020 |
| Revising the observation satellite scheduling problem based on deep reinforcement learning Y Huang, Z Mu, S Wu, B Cui, Y Duan Remote Sensing 13 (12), 2377, 2021 | 35 | 2021 |
| Reinforcement learning based dynamic distributed routing scheme for mega LEO satellite networks Y Huang, WU Shufan, K Zeyu, MU Zhongcheng, H Huang, WU Xiaofeng, ... Chinese Journal of Aeronautics 36 (2), 284-291, 2023 | 20 | 2023 |
| A GA-SA hybrid planning algorithm combined with improved clustering for LEO observation satellite missions X Long, S Wu, X Wu, Y Huang, Z Mu Algorithms 12 (11), 231, 2019 | 13 | 2019 |
| Sequential dynamic resource allocation in multi-beam satellite systems: A learning-based optimization method H Yixin, WU Shufan, Z Zhankui, K Zeyu, MU Zhongcheng, H HUANG Chinese Journal of Aeronautics, 2022 | 7* | 2022 |
| Analysis of satellite observation task clustering based on the improved clique partition algorithm X Long, S Wu, B Cui, Z Mu, Y Huang, S Chu 2019 IEEE Congress on Evolutionary Computation (CEC), 1314-1321, 2019 | 5 | 2019 |
| A Routing Optimization Method for LEO Satellite Networks with Stochastic Link Failure G Zhao, Z Kang, Y Huang, S Wu Aerospace 9 (6), 322, 2022 | 2 | 2022 |
| Routing Optimization Study for LEO Satellite Networks Using the Hybrid GA-SA Algorithm Y Duan, S Wu, Y Huang, Z Mu International Conference on Aerospace System Science and Engineering, 473-486, 2021 | | 2021 |
| SSS-2A: A 3U CubeSat Project for an In-Orbit Formation Flying Mission Y Huang, Z Mu, S Chu, S Wu International Conference on Aerospace System Science and Engineering, 311-328, 2021 | | 2021 |
