9 citations · 13 across the 5 of their papers we have counts for
5 papers
GMM-ResNext: Combining Generative and Discriminative Models for Speaker Verification
Hui Yan, Zhenchun Lei, Changhong Liu +1
With the development of deep learning, many different network architectures have been explored in speaker verification. However, most network architectures rely on a single deep le…
GMM-ResNet2: Ensemble of Group ResNet Networks for Synthetic Speech Detection
Zhenchun Lei, Hui Yan, Changhong Liu +2
Deep learning models are widely used for speaker recognition and spoofing speech detection. We propose the GMM-ResNet2 for synthesis speech detection. Compared with the previous GM…
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis
Yuanming Shi, Li Zeng, Jingyang Zhu +3
The proliferation of low-earth-orbit (LEO) satellite networks leads to the generation of vast volumes of remote sensing data which is traditionally transferred to the ground server…
Over-the-Air Federated Learning and Optimization
Jingyang Zhu, Yuanming Shi, Yong Zhou +3
Federated learning (FL), as an emerging distributed machine learning paradigm, allows a mass of edge devices to collaboratively train a global model while preserving privacy. In th…
Optimal subsampling for the Cox proportional hazards model with massive survival data
Nan Qiao, Wangcheng Li, Feng Xiao +2
The use of massive survival data has become common in survival analysis. In this study, a subsampling algorithm is proposed for the Cox proportional hazards model with time-depende…