- Advanced Image and Video Retrieval Techniques
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
- Explainable Artificial Intelligence (XAI)
- Face and Expression Recognition
- Advanced Graph Neural Networks
- Adversarial Robustness in Machine Learning
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Graph Theory and Algorithms
- Video Surveillance and Tracking Methods
- Semantic Web and Ontologies
Fuzhou University
2023-2024
Existing representation learning approaches lie predominantly in designing models empirically without rigorous mathematical guidelines, neglecting interpretation terms of modeling. In this work, we propose an optimization-derived network that embraces both and extensibility. To ensure interpretability at the design level, adopt a transparent approach customizing from optimization perspective. This involves modularly stitching together components to meet specific requirements, enhancing...
As researchers strive to narrow the gap between machine intelligence and human through development of artificial multimedia technologies, it is imperative that we recognize critical importance trustworthiness in open-world, which has become ubiquitous all aspects daily life for everyone. However, several challenges may create a crisis trust current open-world systems need be bridged: 1) Insufficient explanation predictive results; 2) Inadequate generalization learning models; 3) Poor...