Kun Zhao

Lung Nodule Classification by the Combination of Fusion Classifier and Cascaded Convolutional Neural Networks

2017 · arXiv (Cornell University)

Lung nodule classification is a class imbalanced problem, as nodules are found with much lower frequency than non-nodules. In the class imbalanced problem, conventional classifiers tend to be overwhelmed by the majority class and ignore …

PHYAlert: identity spoofing attack detection and prevention for a wireless edge network

2020 · Journal of Cloud Computing Advances Systems and Applications

Abstract Delivering service intelligence to billions of connected devices is the next step in edge computing. Wi-Fi, as the de facto standard for high-throughput wireless connectivity, is highly vulnerable to packet-injection-based identity spoofing attacks (PI-ISAs). …

SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation

2020 · arXiv (Cornell University)

Incremental learning requires a model to continually learn new tasks from streaming data. However, traditional fine-tuning of a well-trained deep neural network on a new task will dramatically degrade performance on the old task -- …

Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model

2024 · arXiv (Cornell University)

Mammography is crucial for breast cancer surveillance and early diagnosis. However, analyzing mammography images is a demanding task for radiologists, who often review hundreds of mammograms daily, leading to overdiagnosis and overtreatment. Computer-Aided Diagnosis (CAD) …