no code implementations • 26 Feb 2024 • Man Wu, Xin Zheng, Qin Zhang, Xiao Shen, Xiong Luo, Xingquan Zhu, Shirui Pan
Graph learning plays a pivotal role and has gained significant attention in various application scenarios, from social network analysis to recommendation systems, for its effectiveness in modeling complex data relations represented by graph structural data.
1 code implementation • 29 Jun 2021 • Yang Xu, Bohao Huang, Xiong Luo, Kyle Bradbury, Jordan M. Malof
Recently deep neural networks (DNNs) have achieved tremendous success for object detection in overhead (e. g., satellite) imagery.
no code implementations • 9 Apr 2021 • Zhongju Wang, Long Wang, Chao Huang, Xiong Luo
This paper proposes an automatic Chinese text categorization method for solving the emergency event report classification problem.
no code implementations • 9 May 2019 • Xiaoqin Zhang, Yunfei Li, Huimin Ma, Xiong Luo
Pretraining reinforcement learning methods with demonstrations has been an important concept in the study of reinforcement learning since a large amount of computing power is spent on online simulations with existing reinforcement learning algorithms.