Neural-Dynamics-Based Path Planning of a Bionic Robotic Fish. - Zhiwei Yu; Jielian Tao; Jianyu Xiong; Ao Luo; Simon X. Yang (ROBIO, 2019)

Design and Analysis of Path Planning for robotic fish based on Neural dynamics Model. - Zhiwei Yu; Jielian Tao; Jianyu Xiong; Simon X. Yang (Int. J. Robotics Autom., 2021)

An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem. - Kun Lei; Peng Guo; Yi Wang; Jianyu Xiong; Wenchao Zhao (IJCNN, 2022)

Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling. - Jianyu Xiong; Tao Dai 001; Yaohua Zha; Xin Wang 001; Shu-Tao Xia (ICASSP, 2023)

SFR: Semantic-Aware Feature Rendering of Point Cloud. - Yaohua Zha; Rongsheng Li; Tao Dai 001; Jianyu Xiong; Xin Wang 001; Shu-Tao Xia (ICASSP, 2023)

Multi-agent deep reinforcement learning for task offloading in group distributed manufacturing systems. - Jianyu Xiong; Peng Guo; Yi Wang 110; Xiangyin Meng; Jian Zhang 043; Linmao Qian; Zhenglin Yu (Eng. Appl. Artif. Intell., 2023)

A transformer with layer-cross decoding for remaining useful life prediction. - Peng Guo; Qi Liu 003; Shui Yu 001; Jianyu Xiong; Xiang Tan; Chao Guo (J. Supercomput., 2023)

Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation. - Peng Guo; Jianyu Xiong; Yi Wang 110; Xiangyin Meng; Linmao Qian (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud. - Tao Dai 001; Yanzi Wang; Jianyu Xiong; Yaohua Zha; Shu-Tao Xia; Zexuan Zhu (AAAI, 2025)