6 papers
MSCENet: A Multi-Scale Correlation Enhanced Network for Anomaly Detection
Long Zhao, Shixun Ji, Zhipeng Wang +2
In the field of multivariate time series anomaly detection, against the backdrop of increasing data complexity and complex dependencies across multiple temporal scales, traditional…
Enhanced Feature Extraction for IoT Network Intrusion Detection Using GNNs and KAN
Long Zhao, Shixun Ji, Bin Cheng +1
Recent advancements in the Internet of Things (IoT) emphasize the urgent need for advanced network security, as IoT networks feature dynamic topologies, imbalanced traffic, and com…
IDEA: Insensitive to Dynamics Mismatch via Effect Alignment for Sim-to-Real Transfer in Multi-Agent Control
Chenlong Liu, Zhuohui Zhang, Xinyan Chen +3
Complex multi-agent control tasks remain challenging for traditional rule-based and model-based approaches, motivating the adoption of learning-based methods. However, learning-bas…
DLM: Unified Decision Language Models for Offline Multi-Agent Sequential Decision Making
Zhuohui Zhang, Bin Cheng, Bin He
Building scalable and reusable multi-agent decision policies from offline datasets remains a challenge in offline multi-agent reinforcement learning (MARL), as existing methods oft…
Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems
Zhuohui Zhang, Bin He, Bin Cheng +1
Multi-agent systems must learn to communicate and understand interactions between agents to achieve cooperative goals in partially observed tasks. However, existing approaches lack…
PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication
Zhuohui Zhang, Bin Cheng, Zhipeng Wang +5
For partially observable cooperative tasks, multi-agent systems must develop effective communication and understand the interplay among agents in order to achieve cooperative goals…