- Sparse and Compressive Sensing Techniques
- Digital Imaging for Blood Diseases
- AI in cancer detection
- Adversarial Robustness in Machine Learning
- Indoor and Outdoor Localization Technologies
- Advanced Adaptive Filtering Techniques
- Advanced Optimization Algorithms Research
- Direction-of-Arrival Estimation Techniques
- Retinal Imaging and Analysis
Soochow University
2024
University of Chinese Academy of Sciences
2024
Optical Coherence Tomography (OCT) images can provide non-invasive visualization of fundus lesions; however, scanners from different OCT manufacturers largely vary each other, which often leads to model deterioration unseen due domain shift.
Establishing robust policies is essential to counter attacks or disturbances affecting deep reinforcement learning (DRL) agents. Recent studies explore state-adversarial robustness and suggest the potential lack of an optimal policy (ORP), posing challenges in setting strict constraints. This work further investigates ORP: At first, we introduce a consistency assumption (CAP) stating that actions Markov decision process remain consistent with minor perturbations, supported by empirical...