no code implementations • COLING 2022 • Jingqiang Chen, Chaoxiang Cai, Xiaorui Jiang, KeJia Chen
And then, we propose the comparative graph-based summarization (CGSUM) method to create comparative summaries using citations as guidance.
no code implementations • 5 Jun 2023 • Yongqi Dong, KeJia Chen, Zhiyuan Ma
This study systematically compares semi-supervised learning methods applied for anomaly detection in hydraulic condition monitoring systems.
no code implementations • 21 Sep 2022 • Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, KeJia Chen, Hongkuan Zhou, Kai Huang, Alois Knoll
We propose a dual-MDP meta-reinforcement learning method that enables learning new tasks efficiently with symmetrical behaviors and language instructions.
no code implementations • 21 Jul 2022 • Yongqi Dong, KeJia Chen, Yinxuan Peng, Zhiyuan Ma
To enhance the security of in-vehicle networks and promote the research in this area, based upon a large scale of CAN network traffic data with the extracted valuable features, this study comprehensively compared fully-supervised machine learning with semi-supervised machine learning methods for CAN message anomaly detection.