1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2026
Model-agnostic information transfer and fusion for classification with label noise
Zhu Guojun, Zhang Sanguo, Ren Mingyang
Label noise presents a fundamental challenge in modern machine learning, especially when large-scale datasets are generated via automated processes. An increasingly common and impo…
stat.ML2022★ 1 cited
Transfer learning for tensor Gaussian graphical models
Mingyang Ren, Yaoming Zhen, Junhui Wang
Tensor Gaussian graphical models (GGMs), interpreting conditional independence structures within tensor data, have important applications in numerous areas. Yet, the available tens…