158 citations · 909 across the 20 of their papers we have counts for
20 papers
GP-NAS-ensemble: a model for NAS Performance Prediction
Kunlong Chen, Liu Yang, Yitian Chen +3
It is of great significance to estimate the performance of a given model architecture without training in the application of Neural Architecture Search (NAS) as it may take a lot o…
Across-Layer Sliding Ferroelectricity in Graphene-Based Heterolayers: Asymmetry of Next Neighbor Interlayer Couplings
Liu Yang, Menghao Wu
Although most two-dimensional (2D) materials are non-ferroelectric with highly symmetric lattices, symmetry breaking may take place in their bilayers upon certain stacking order, g…
Generative Adversarial Learning for Trusted and Secure Clustering in Industrial Wireless Sensor Networks
Liu Yang, Simon X. Yang, Yun Li +2
Traditional machine learning techniques have been widely used to establish the trust management systems. However, the scale of training dataset can significantly affect the securit…
PathProx: A Proximal Gradient Algorithm for Weight Decay Regularized Deep Neural Networks
Liu Yang, Jifan Zhang, Joseph Shenouda +3
Weight decay is one of the most widely used forms of regularization in deep learning, and has been shown to improve generalization and robustness. The optimization objective drivin…
Generative Adversarial Learning for Intelligent Trust Management in 6G Wireless Networks
Liu Yang, Yun Li, Simon X. Yang +3
Emerging six generation (6G) is the integration of heterogeneous wireless networks, which can seamlessly support anywhere and anytime networking. But high Quality-of-Trust should b…
An Evolutionary Game based Secure Clustering Protocol with Fuzzy Trust Evaluation and Outlier Detection for Wireless Sensor Networks
Liu Yang, Yinzhi Lu, Simon X. Yang +3
Trustworthy and reliable data delivery is a challenging task in Wireless Sensor Networks (WSNs) due to unique characteristics and constraints. To acquire secured data delivery and…