Human in the Loop: Industry 4.0 Technologies and Scenarios for Worker Mediation of Automated Manufacturing. - Christopher Turner 001; Ruidong Ma; Jingyu Chen; John Oyekan (IEEE Access, 2021)

Graph-based semantic planning for adaptive human-robot-collaboration in assemble-to-order scenarios. - Ruidong Ma; Jingyu Chen; John Oyekan (RO-MAN, 2023)

A learning from demonstration framework for adaptive task and motion planning in varying package-to-order scenarios. - Ruidong Ma; Jingyu Chen; John Oyekan (Robotics Comput. Integr. Manuf., 2023)

A deep multi-agent reinforcement learning framework for autonomous aerial navigation to grasping points on loads. - Jingyu Chen; Ruidong Ma; John Oyekan (Robotics Auton. Syst., 2023)

Spiking Generative Adversarial Network for Controllable Affective Music Creation. - Yuan Zhao; Xianghong Lin; Zequn Zhang; Chengyang Xie; Ruidong Ma (ICIC (2), 2024)

Applying vision-guided graph neural networks for adaptive task planning in dynamic human robot collaborative scenarios. - Ruidong Ma; Yanan Liu; Erich W. Graf; John Oyekan (Adv. Robotics, 2024)

Spiking Convolutional Neural Networks with ECA Mechanism for EEG-Based Motor Imagery Classification. - Ruidong Ma; XiangHong Lin; Chun Li; Xiangwen Wang; ShunChang Su (ICIC (12), 2025)

A meta-reinforcement learning method for adaptive payload transportation with variations. - Jingyu Chen; Ruidong Ma; Meng Xu; Fethi Candan; Lyudmila Mihaylova; John Oyekan (Neurocomputing, 2025)

Quantize More, Lose Less: Autoregressive Generation from Residually Quantized Speech Representations. - Yichen Han; Xiaoyang Hao; Keming Chen; Weibo Xiong; Jun He; Ruonan Zhang; Junjie Cao; Yue Liu; Bowen Li; Dongrui Zhang; Hui Xia; Huilei Fu; et al. (CoRR, 2025)