Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction

no code implementations • 8 Jan 2024 • Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, QIngwei Lin, Dongmei Zhang

Using two real-world datasets of disk failure prediction and conducting node prediction experiments in Microsoft Azure, which is a top-tier cloud provider that serves millions of users, we demonstrate Uptake can significantly improve the failure prediction accuracy by 5% on average.

Cloud Computing

Multi-objective Progressive Clustering for Semi-supervised Domain Adaptation in Speaker Verification

no code implementations • 7 Oct 2023 • Ze Li, Yuke Lin, Ning Jiang, Xiaoyi Qin, Guoqing Zhao, Haiying Wu, Ming Li

Utilizing the pseudo-labeling algorithm with large-scale unlabeled data becomes crucial for semi-supervised domain adaptation in speaker verification tasks.

Clustering Denoising +3

The DKU-MSXF Speaker Verification System for the VoxCeleb Speaker Recognition Challenge 2023

no code implementations • 17 Aug 2023 • Ze Li, Yuke Lin, Xiaoyi Qin, Ning Jiang, Guoqing Zhao, Ming Li

For Track 1, we utilize a network structure based on ResNet for training.

Domain Adaptation Semi-supervised Domain Adaptation +2

Polarized hyperspectral imaging with single fiber bundle via incoherent light transmission matrix approach

no code implementations • 11 Jan 2021 • Yitong Li, Zhengbo Zhu, Ze Li, Donglin Ma

The scattering of multispectral incoherent light is a common and unfavorable signal scrambling in natural scenes.