Synopsis of recent research by authors named "Shiguang Shan"
- Shiguang Shan's recent research spans various fields, including computational biology, semi-supervised learning, and artificial intelligence, reflecting a multidisciplinary approach to addressing complex challenges in data analysis and recognition systems.
- Key findings include the characterization of multi-drug adapted fungal strains impacting human health, revealing how these strains adapt to various stressors, and advancements in semi-supervised learning methods to enhance performance despite distribution inconsistencies.
- Additionally, Shan's work on facial recognition technologies emphasizes the use of computer-based analysis for genetic syndrome identification and the development of innovative models to improve recognition accuracy under challenging conditions.
