Model-Free Load Frequency Control of Nonlinear Power Systems Based on Deep Reinforcement Learning

no code implementations • 7 Mar 2024 • Xiaodi Chen, Meng Zhang, Zhengguang Wu, Ligang Wu, Xiaohong Guan

Load frequency control (LFC) is widely employed in power systems to stabilize frequency fluctuation and guarantee power quality.

Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning

no code implementations • 7 Mar 2024 • Biqing Qi, Junqi Gao, Xingquan Chen, Dong Li, Jianxing Liu, Ligang Wu, BoWen Zhou

However, current EM-based methods retrieves memory globally by performing Vector-to-Vector (V2V) interaction between features corresponding to the input and prototypes stored in EM, neglecting the geometric structure of local features.

Few-Shot Class-Incremental Learning Few-Shot Learning +1

Interactive Continual Learning: Fast and Slow Thinking

1 code implementation • 5 Mar 2024 • Biqing Qi, Xingquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu, BoWen Zhou

Drawing on Complementary Learning System theory, this paper presents a novel Interactive Continual Learning (ICL) framework, enabled by collaborative interactions among models of various sizes.

Continual Learning Outlier Detection +1

Investigating Deep Watermark Security: An Adversarial Transferability Perspective

no code implementations • 26 Feb 2024 • Biqing Qi, Junqi Gao, Yiang Luo, Jianxing Liu, Ligang Wu, BoWen Zhou

The rise of generative neural networks has triggered an increased demand for intellectual property (IP) protection in generated content.