Shichen Liao

ORCID: 0009-0009-6421-7974
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About
Contact & Profiles
Research Areas
  • 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.

10.1109/tbme.2024.3393453 article EN IEEE Transactions on Biomedical Engineering 2024-04-25

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...

10.48550/arxiv.2402.02165 preprint EN arXiv (Cornell University) 2024-02-03
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