A5072671329- Topic Modeling
- Face recognition and analysis
- Advanced Graph Neural Networks
- Recommender Systems and Techniques
- Generative Adversarial Networks and Image Synthesis
- Educational Games and Gamification
- Consumer Perception and Purchasing Behavior
- Cognitive Abilities and Testing
- Cognitive Science and Mapping
Soochow University
2024
Zhengzhou University of Light Industry
2022-2023
The rise of e-commerce has brought women’s shirt images to the forefront, showcasing complex styles and diverse features. This presents a challenge for consumers in finding their preferred styles. Deep learning, known its speed superior retrieval performance, offers solution by learning image features through multi-layer neural networks extracting high-level semantic information, making it highly effective recognizing classifying clothing ResNet model excels detailed pixel but limitations:...
Recent research shows that intake of the corresponding nutrients can enhancing disease rehabilitation in elderly. The traditional medical question and answer (Q&A) system provide convenient query services for However, Q&A also has defects, instance, is not very targeted to elderly, along with this cannot meet storage needs massive data. In paper, a semantic-based word separation method was proposed, which uses Chinese semantic segmentation obtain keyword information. Meanwhile, we use...