7 citations · 12 across the 4 of their papers we have counts for
4 papers
Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environments
Keqin Li, Jiajing Chen, Denzhi Yu +9
At present, in most warehouse environments, the accumulation of goods is complex, and the management personnel in the control of goods at the same time with the warehouse mobile ro…
Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learning
Keqin Li, Jin Wang, Xubo Wu +7
With the rapid growth of global e-commerce, the demand for automation in the logistics industry is increasing. This study focuses on automated picking systems in warehouses, utiliz…
Rumor Detection with a novel graph neural network approach
Tianrui Liu, Qi Cai, Changxin Xu +4
The wide spread of rumors on social media has caused a negative impact on people's daily life, leading to potential panic, fear, and mental health problems for the public. How to d…
Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach
Changxin Xu, Yuxin Qiao, Zhanxin Zhou +2
Federated Learning (FL) is a distributed machine learning paradigm that allows clients to train models on their data while preserving their privacy. FL algorithms, such as Federate…