Zhenyu Wu

Decoupling Deep Domain Adaptation Method for Class-imbalanced Learning with Domain Discrepancy

2021 · 2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)

In a wide range of classification tasks, training data will produce class-imbalance due to collection difficulties in some classes, which leads to prediction biases on minority classes. For the class-imbalanced problem, existing researches are usually …

SOAR: Scene-debiasing Open-set Action Recognition

2023

Deep learning models have a risk of utilizing spurious clues to make predictions, such as recognizing actions based on the background scene. This issue can severely degrade the open-set action recognition performance when the testing …

An E-health System Recognizing Vegetable Images Using Extreme Learning Machine

2023

Smart devices are increasingly important in daily life as they can provide information and capture usage behavior. This paper proposes a machine learning-based system to assist in human health management on smart devices. The system …