Yuting Jiang
Yuting Jiang is a PhD in Information System Science graduated from Aalto University. Her research focuses on addressing Diversity, Equity, and Inclusion (DEI) challenges in digital markets. She is particularly interested in the application and improvement of computational methods including topic models, transformer architectures, and generative adversarial neural networks. Her work has been published in leading academic journals such as Information & Management, Reliability Engineering & System, and Information Processing & Management.
- Consumer Behavior
- Marketing Strategy on mature markets
- Jiang Y., 2026.A deep learning method to predict ship short-term trajectory for proactive maritime traffic managementReliability Engineering and System Safety, 265, B: 111542
- Jiang Y., Fu . M., Fang J., Rossi . M., Wang Y., Tan C.-W., 2025.Advancing an LDA-GMM-CorEx topic model with prior domain knowledge in information systems researchInformation and Management, 62, 2: 104097
- Jiang Y., 2024.A hybrid deep learning method for the prediction of ship time headway using automatic identification system dataEngineering Applications of Artificial Intelligence, 133, B: 108172
- Jiang Y., 2020.Who contributes what? Scrutinizing the activity data of 4.2 million Zhihu users via immersion scoresInformation Processing & Management, 57, 5: 102274
