Xin Yang

Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound

2019 · IEEE Transactions on Medical Imaging

ABUS, or Automated breast ultrasound, is an innovative and promising method of screening for breast examination. Comparing to common B-mode 2D ultrasound, ABUS attains operator-independent image acquisition and also provides 3D views of the whole …

CPT: Efficient Deep Neural Network Training via Cyclic Precision

2021 · arXiv (Cornell University)

Low-precision deep neural network (DNN) training has gained tremendous attention as reducing precision is one of the most effective knobs for boosting DNNs' training time/energy efficiency. In this paper, we attempt to explore low-precision training …

Game-theoretical cyber deception strategy generation based on honeynet and intrusion prediction

2023

Cyber deception is a critical component of proactive cyber defense. It releases false information about devices, applications and networks to attackers to mislead attackers, sabotage attack actions and mitigate impact of intrusion based on cyber …

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention

2024 · Proceedings of the AAAI Conference on Artificial Intelligence

Semantic segmentation's performance is often compromised when applied to unlabeled adverse weather conditions. Unsupervised domain adaptation is a potential approach to enhancing the model's adaptability and robustness to adverse weather. However, existing methods encounter difficulties …