Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation

no code implementations • 7 Nov 2023 • Chenwei Tang, Wenqiang Zhou, Dong Wang, Caiyang Yu, Zhenan He, Jizhe Zhou, Shudong Huang, Yi Gao, Jianming Chen, Wentao Feng, Jiancheng Lv

The advent of Industry 4. 0 has precipitated the incorporation of Artificial Intelligence (AI) methods within industrial contexts, aiming to realize intelligent manufacturing, operation as well as maintenance, also known as industrial intelligence.

Few-Shot Learning Open Set Learning +1

Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning

1 code implementation • ICCV 2023 • Jizhe Zhou, Xiaochen Ma, Xia Du, Ahmed Y. Alhammadi, Wentao Feng

We argue that contrastive learning is more suitable to tackle the data insufficiency problem for IML.

Contrastive Learning Image Manipulation +1

GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model

no code implementations • 9 May 2023 • Caiyang Yu, Xianggen Liu, Wentao Feng, Chenwei Tang, Jiancheng Lv

Neural Architecture Search (NAS) has emerged as one of the effective methods to design the optimal neural network architecture automatically.

Neural Architecture Search

Sample-Level Multi-View Graph Clustering

no code implementations • CVPR 2023 • Yuze Tan, Yixi Liu, Shudong Huang, Wentao Feng, Jiancheng Lv

Multi-view clustering have hitherto been studied due to their effectiveness in dealing with heterogeneous data.

Clustering Graph Clustering

Partial Differential Equations Meet Deep Neural Networks: A Survey

no code implementations • 27 Oct 2022 • Shudong Huang, Wentao Feng, Chenwei Tang, Jiancheng Lv

Many problems in science and engineering can be represented by a set of partial differential equations (PDEs) through mathematical modeling.