377 citations
- Chinese Academy of SciencesCN43 papers
- University of Chinese Academy of SciencesCN27 papers
- Peking UniversityCN21 papers
- Institute of High Energy PhysicsCN20 papers
- Nanjing UniversityCN19 papers
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- Sun Yat-sen UniversityCN16 papers
- Harbin Institute of TechnologyCN15 papers
- Shanghai Jiao Tong UniversityCN14 papers
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7 papers · 1 filter
STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph
Silu He, Qinyao Luo, Ronghua Du +2
The key to traffic prediction is to accurately depict the temporal dynamics of traffic flow traveling in a road network, so it is important to model the spatial dependence of the r…
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples
Haidong Xie, Jia Tan, Xiaoying Zhang +5
Deep learning is applied to many complex tasks in the field of wireless communication, such as modulation recognition of spectrum waveforms, because of its convenience and efficien…
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness
Haidong Xie, Lixin Qian, Xueshuang Xiang +1
With the growth of interest in the attack and defense of deep neural networks, researchers are focusing more on the robustness of applying them to devices with limited memory. Thus…
Transfer Learning with Dynamic Adversarial Adaptation Network
Chaohui Yu, Jindong Wang, Yiqiang Chen +1
The recent advances in deep transfer learning reveal that adversarial learning can be embedded into deep networks to learn more transferable features to reduce the distribution dis…
Transfer Learning with Dynamic Distribution Adaptation
Jindong Wang, Yiqiang Chen, Wenjie Feng +3
Transfer learning aims to learn robust classifiers for the target domain by leveraging knowledge from a source domain. Since the source and the target domains are usually from diff…
Task-Driven Common Representation Learning via Bridge Neural Network
Yao Xu, Xueshuang Xiang, Meiyu Huang
This paper introduces a novel deep learning based method, named bridge neural network (BNN) to dig the potential relationship between two given data sources task by task. The propo…