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2020 – today
- 2026
[j6]Tingting Wu, Qingwei Dong, Wei Yu, Zheng Li, Manxue Guo:
A general learning rate improvement strategy for deep neural networks training. Complex Intell. Syst. 12(3) (2026)- 2025
- [j5]Qingwei Dong
, Tingting Wu, Peng Zeng, Chuanzhi Zang, Guangxi Wan, Shijie Cui:
Enhancing Robot Learning Through Cognitive Reasoning Trajectory Optimization Under Unknown Dynamics. IEEE Robotics Autom. Lett. 10(6): 5401-5408 (2025) - [i1]Guangxi Wan, Peng Zeng, Xiaoting Dong, Chunhe Song, Shijie Cui, Dong Li, Qingwei Dong, Yiyang Liu, Hongfei Bai:
Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems. CoRR abs/2511.00806 (2025) - 2024
- [j4]Qingwei Dong, Peng Zeng, Guangxi Wan, Yunpeng He, Xiaoting Dong:
Kalman Filter-Based One-Shot Sim-to-Real Transfer Learning. IEEE Robotics Autom. Lett. 9(1): 311-318 (2024) - [j3]Qingwei Dong, Peng Zeng, Yunpeng He, Guangxi Wan, Xiaoting Dong:
Mitigating Catastrophic Forgetting in Robot Continual Learning: A Guided Policy Search Approach Enhanced With Memory-Aware Synapses. IEEE Robotics Autom. Lett. 9(12): 11242-11249 (2024) - 2023
- [j2]Yunpeng He, Chuanzhi Zang, Peng Zeng, Qingwei Dong, Ding Liu, Yuqi Liu:
Convolutional Shrinkage Neural Networks Based Model-Agnostic Meta-Learning for Few-Shot Learning. Neural Process. Lett. 55(1): 505-518 (2023) - 2022
- [j1]Guangxi Wan, Xiaoting Dong, Qingwei Dong, Yunpeng He, Peng Zeng:
Design and implementation of agent-based robotic system for agile manufacturing: A case study of ARIAC 2021. Robotics Comput. Integr. Manuf. 77: 102349 (2022) - 2021
- [c1]Qingwei Dong, Chuanzhi Zang, Peng Zeng, Guangxi Wan, Yunpeng He, Xiaoting Dong:
Implementation of assembly task based on guided policy search algorithm. IECON 2021: 1-6
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