1 citations · 1 across the 3 of their papers we have counts for
6 papers
LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems
Xiaofeng Xiao, Jianhong Chen, Qiuzhuang Sun +2
Textual event records, such as alarm logs, have become an increasingly common data source in engineering and manufacturing systems. Beyond identifying correlations or recurring pat…
MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security
Yongjian Guo, Puzhuo Liu, Wanlun Ma +5
The Model Context Protocol (MCP) has emerged as a universal standard that enables AI agents to seamlessly connect with external tools, significantly enhancing their functionality.…
RL-VLA: A Flexible and Asynchronous Reinforcement Learning Framework for VLA Training
Haoran Sun, Yongjian Guo, Zhong Guan +13
Reinforcement learning (RL) has emerged as a critical paradigm for post-training Vision-Language-Action (VLA) models, enabling embodied agents to adapt and improve through environm…
CausalGDP: Causality-Guided Diffusion Policies for Reinforcement Learning
Xiaofeng Xiao, Xiao Hu, Yang Ye +1
Reinforcement learning (RL) has achieved remarkable success in a wide range of sequential decision-making problems. Recent diffusion-based policies further improve RL by modeling c…
Causality-informed Anomaly Detection in Partially Observable Sensor Networks: Moving beyond Correlations
Xiaofeng Xiao, Bo Shen, Xubo Yue
Nowadays, as AI-driven manufacturing becomes increasingly popular, the volume of data streams requiring real-time monitoring continues to grow. However, due to limited resources, i…
Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing
Xiaofeng Xiao, Khawlah Alharbi, Pengyu Zhang +2
Causal inference has recently gained notable attention across various fields like biology, healthcare, and environmental science, especially within explainable artificial intellige…