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吴瑞琪
发布日期:2020-07-01 浏览次数:

吴瑞琪,男,1992.1月生,博士,讲师。

电子邮箱:rqwu@haut.edu.cn

研究方向:智能控制、智能机器人、深度强化学习、对抗学习。

教育经历:

 2011.09-2013.06,安阳师范学院人文管理学院,信息管理与信息系统,学士;

2013.09-2015.06,河南师范大学,农业信息化,硕士;

2015.09-2020.12,厦门大学,智能科学与技术,博士;

代表性教科研学术成果:

论文

[1] Ruiqi Wu, Chao Fei, Changle Zhou, Yuxuan Huang, Longzhi Yang, Chih-Min Lin, Xiang Chang, Qiang Shen, and Changjing Shang. "A Developmental Evolutionary Learning Framework for Robotic Chinese Stroke Writing." IEEE Transactions on Cognitive and Developmental Systems (2021). (SCIJCR二区)

[2] Ruiqi Wu, Changle Zhou, Fei Chao*, Longzhi Yang, Chih-Min Lin, and Changjing Shang. Integration of an Actor-Critic Model and Generative Adversarial Networks for a Chinese Calligraphy Robot. Neurocomputing (2020). (SCIJCR一区)

[3] Ruiqi Wu, Changle Zhou, Fei Chao*, Longzhi Yang, Chih-Min Lin, and Changjing Shang. GANCCRobot: Generative Adversarial Nets based Chinese Calligraphy Robot. Information Sciences (2019). (SCIJCR一区)

[4] Ruiqi Wu, Wenyao Peng, Changle Zhou, Fei Chao*, Longzhi Yang, Chih-Min Lin, and Changjing Shang. Towards Deep Learning Based Robot Automatic Choreography System. In International Conference on Intelligent Robotics and Applications, pp. 629-640. Springer, Cham, 2019. (ICIRA会议)

[5] 彭文耀,吴瑞琪,晁飞,周昌乐*.一种基于姿态关系特征的机器人舞蹈生成方法[J].厦门大学学报(自然科学版),2019,58(05):774-780.(中文核心)

[6] Ruiqi Wu, Wubing Fang, Fei Chao*, Xingen Gao, Changle Zhou, Longzhi Yang, Chih-Min Lin, and Changjing Shang. Towards deep reinforcement learning based Chinese calligraphy robot. In 2018 IEEE International Conference on Robotics and Biomimetics, pp. 507-512. IEEE, 2018.(ROBIO会议)

项目:

[1] 粮食信息处理与控制教育部重点实验室开放项目,KFJJ-2021-107,基于深度学习和强化学习的储粮品质检测与管理,2022-01-01至2023-12-31,3万,主持