Xiaobo Shen

When Gaussian Process Meets Big Data: A Review of Scalable GPs

2020 · IEEE Transactions on Neural Networks and Learning Systems

The vast quantity of information brought by big data as well as the evolving computer hardware encourages success stories in the machine learning community. In the meanwhile, it poses challenges for the Gaussian process regression …

The Emerging Trends of Multi-Label Learning

2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence

Exabytes of data are generated daily by humans, leading to the growing needs for new efforts in dealing with the grand challenges for multi-label learning brought by big data. For example, extreme multi-label classification is …

Efficient Feature Reconstruction via <i>l</i> _2,1-Norm Regularization for Few-Shot Classification

2023 · IEEE Transactions on Circuits and Systems for Video Technology

Few-shot classification, which aims to recognize novel classes with the aid of learned knowledge and a few labeled samples, remains challenging and draws emerging concerns in computer vision. Metric-based methods incorporate the idea of metric …