Dr WANG, Yue    王越 博士
Associate Professor
Department of Mathematics and Information Technology
Contact
ORCiD
0000-0002-0185-6172
Phone
(852) 2948 7484
Email
wyue@eduhk.hk
Address
10 Lo Ping Road, Tai Po, New Territories, Hong Kong
Scopus ID
35175219400
SDGs
3 - Good Health and Well-Being
12 - Responsible Consumption and Production
Research Outputs

Journal Publications
Tang, X.P., Tian, Y.Z., Wang, Y., & Wu, C.H. (2025). Zero-truncated Bell-Poisson Mixture Regression Model and its Application to Outpatient Data. Communications in Statistics - Simulation and Computation, Latest Articles, Article Online. https://doi.org/10.1080/03610918.2025.2482730
SDGs infomation: 3 - Good Health and Well-Being
Cai, X., Tian, Y., Wang, Y., Mian, Z. (2025). The classification algorithm based on functional logistic regression model with spatial effects and its application in air quality analysis. Statistical Analysis and Data Mining, 18, Article e70004. https://doi.org/10.1002/sam.70004
Peng, Z., Li, M., Wang, Y., Mo, Y. (2025). Prompt-based contrastive learning to combat the COVID-19 infodemic. Machine Learning, 114, Article 6. https://doi.org/10.1007/s10994-024-06731-8
SDGs infomation: 3 - Good Health and Well-Being
Qi, Y., Tian, Y., Wang, Y., Mian, Z. (2025). An ordinal collaboration network model with zero truncated Poisson latent variables and its application. Stat, 14(1), Article e70040. https://doi.org/10.1002/sta4.70040
Tang, X., Tian, Y., Wang, Y., Wu, C. (2024). A new class of zero-truncated counting models and its application. Communications in Statistics Part B: Simulation and Computation. https://doi.org/10.1080/03610918.2024.2384561
Yang, J., Tian, Y., Wang, Y., Wu, C. (2024). Multiple-response logistic regression modeling with application to an analysis of cirrhosis liver disease data. Computational Statistics. https://doi.org/10.1007/s00180-024-01575-1
Huang, J., Wang, Y., Ng, C., Tsung, F. (2024). Overcoming the semantic gap in the customer-to-manufacturer (C2M) platform: A soft prompts-based approach with pretrained language models. International Journal of Production Economics, 272, Article 109248. https://doi.org/10.1016/j.ijpe.2024.109248

Conference Papers
Wang, Y., & Mo, D.Y.W. (2025, March). Consideration Sets Based Hierarchical Product Configurator Design: A Theoretical Analysis. [Paper presentation]. 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE), Shanghai, China. https://doi.org/10.1109/ICAACE65325.2025.11020269
SDGs infomation: 9 - Industry, Innovation and Infrastructure

Projects

Leveraging Large Language Models for Product Ideation
This project aims to leverange large language models to mine novel customer needs from online product reviews and find the new product development ideas.
Project Start Year: 2025, Principal Investigator(s): WANG, Yue

 
From Classroom to Career: LLM-Driven Curriculum Design and Talent Development in the Age of AI and Emerging Technologies
The aim is to utilize large language models (LLMs) to dynamically identify newly emerging job requirement and technology advancement, and suggest the updated curricula for teachers in fast-changing fields like AI and data science.
Project Start Year: 2025, Principal Investigator(s): WANG, Yue

 
Identifying Novel Customer Needs from User-generated Content
This project deploys natural language processing techniques to mine novel customer needs information from user generated content and facilitate product development.
Project Start Year: 2024, Principal Investigator(s): WANG, Yue