A5030006503- Topic Modeling
- Advanced Graph Neural Networks
- Land Use and Ecosystem Services
- AI in cancer detection
- Recommender Systems and Techniques
- Ecosystem dynamics and resilience
- Digital Imaging for Blood Diseases
- Sustainability and Ecological Systems Analysis
- COVID-19 diagnosis using AI
Shanghai Jiao Tong University
2024
Nanjing University of Information Science and Technology
2020
Shandong University of Science and Technology
2016
With large language models (LLMs) achieving remarkable breakthroughs in NLP domains, LLM-enhanced recommender systems have received much attention and been actively explored currently. In this paper, we focus on adapting empowering a pure model for zero-shot few-shot recommendation tasks. First foremost, identify formulate the lifelong sequential behavior incomprehension problem LLMs i.e., fail to extract useful information from textual context of long user sequence, even if length is far...
Society is more and interested in developing mathematical models to assess forecast the environmental biological health conditions of our planet. However, most existing cannot determine long-range impacts potential policies without considering complex global factors their cross effects systems. In this paper, Markov property Neural Network Ensemble (NNE) are utilized construct an estimated matrix that combines interaction different local factors. With such estimation matrix, we could obtain...
The COVID-19 pandemic situation has created even more difficulties in the quick identification and screening of patients for medical specialists. Therefore, a significant study is necessary detecting cases using an automated diagnosis method, which can aid controlling spreading virus. In this paper, suggests Deep Convolutional Neural Network-based multi-classification approach (COV-MCNet) eight different pre-trained architectures such as VGG16, VGG19, ResNet50V2, DenseNet201, InceptionV3,...