Publications in Refereed Journals

*: corresponding author

• Huang, J., Y. Wang*, S. C. H. Ng, and F. Tsung. 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, accepted.

• Yang, J. N., Y. Tian, Y. Wang, and C.-H. Wu, 2024. Multiple-Response Logistic Regression Modeling With Application to An Analysis Of Cirrhosis Liver Disease Data, Computational Statistics, accepted.

• Peng, Z., M. Li, Y. Wang*, and D. Mo. 2024. Prompt-Based Contrastive Learning to Combat the COVID-19 Infodemic, Machine Learning (CCF-B journal), accepted.

• Tang, X., Y. Tian, C.-H. Wu, Y. Wang, Z.-B. Mian. 2024. A New Class of Zero-truncated Counting Models and Its Application, Communications in Statistics – Simulation and Computation, accepted.

• Huang, S., Y. Wang*, E. Y. C. Wong, and L. Yu. 2024. Ensemble Learning with Soft-Prompted Large Language Model for Fact Checking, Natural Language Processing Journal, accepted.

• Cai, X., Y. Tian, Y. Wang, and M. Tian, 2024. The Classification Algorithm Based on Functional Logistic Regression Model with Spatial Effects and Its Application in Air Quality Analysis, Statistical Analysis and Data Mining, accepted.

• Peng, Z., M. Li, Y. Wang*, and G. Ho. 2023. Combating the COVID-19 Infodemic Using Prompt-Based Curriculum Learning, Expert Systems with Applications (impact factor 8.665), accepted.

• Wang, Y., D. Mo and H. Ma. 2023. Perception of Time in the Online Product Customization Process. Industrial Management & Data Systems (impact factor 4.224), 123(2), 369-385.

• Wu, C.H., Y. Wang*, and J. Ma. 2023. Maximal Marginal Relevance-Based Recommendation for Product Customization. Enterprise Information Systems (impact factor 4.407), 17(5), 1992018.

• Mo, D., Y. Tseng, Y. Wang and W. Xu. 2023. Online Reinforcement Learning-Based Inventory Control for  Intelligent E-Fulfilment Dealing with Nonstationary Demand, Enterprise Information Systems (impact factor 4.407), accepted.

• Luo, L., Y. Wang*, and D. Mo. 2023. Identifying Heart Disease Risk Factors from Electronic Health Records Using an Ensemble of Deep Learning Method, IISE Transactions on Healthcare Systems Engineering, accepted.

• Ma, H., Y. Sun, D. Mo and Y. Wang. 2023. Impact of Passenger Unused Baggage Capacity on Air Cargo Delivery. Annals of Operations Research, accepted.

• Wang, Y.*, L. Luo and H. Liu. 2022. Bridging the Semantic Gap Between Customer Needs and Design Specifications Using User-Generated Content. IEEE Transactions on Engineering Management, 69(4): 1622 - 1634. [code and data] 

• Wang, Y., D. Mo and H. Ma. 2022. Perception of Time in the Online Product Customization Process. Industrial Management & Data Systems, accepted, DOI: 10.1108/IMDS-03-2022-0159.

• Luo, L., Y. Wang*, and H. Liu. 2022. COVID-19 Personal Health Mention Detection from Tweets Using Dual Convolutional Neural Network, Expert Systems With Applications, 200: 117139. 

• Mo. D. Y., Y. Wang, D. Ho and K. H. Leung. 2022. Redeploying Excess Inventories with Lateral and Reverse Transshipments. International Journal of Production Research, 60(10): 3031 - 3046.

• Mo. D. Y., C. Y. T. Ma, D. C. K. Ho, Y. Wang. 2022. Design of Reverse Logistics Systems with Internet of Things for Service Parts Management. Sustainability, 1914685. 

• Wong, W. K., S. Ye, H. Liu, Y. Wang. 2022. Effective Mobile Target Searching Using Robots. Mobile Networks and Applications, 27: 249 - 265. 

• Luo, L., Y. Wang*, and D. Mo. 2022. Identifying COVID-19 Personal Health Mentions from Tweets Using Masked Attention Model, IEEE Access, 10: 59068 - 59077. 

• Wang, Y.*, X. Li and D. Mo. 2021. Knowledge-Empowered Multi-Task Learning to Address the Semantic Gap Between Customer Needs and Design Specifications. IEEE Transactions on Industrial Informatics, 17(12): 8397 - 8405. 

• Wang, Y.*, W. Zhao and X. Wan. 2021. Needs-based Product Configurator Design for Mass Customization Using Hierarchical Attention Network. IEEE Transactions on Automation Science and Engineering, 18(1): 195-204. [code]

• Wang, Y.*, X. Li, L. Zhang and D. Mo. 2021. Configuring Products With Natural Language: A Simple Yet Effective Approach Based on Text Embeddings and Multilayer Perceptron. International Journal of Production Research, accepted. 

• J. Wu, Y. Wang*, and J. Ma. 2021. Maximal Marginal Relevance-Based Recommendation for Product Customization. Enterprise Information Systems, accepted. 

• Wang, Y.*, C. Wong, T. Cheung and E. Wu. 2021. How Influential Factors Affect Aviation Networks: A Bayesian Network Analysis. Journal of Air Transport Management, 91: 101995. 

• Wang, Y.* and X. Li. 2021. Mining Product Reviews for Needs-Based Product Configurator Design: A Transfer Learning-Based Approach. IEEE Transactions on Industrial Informatics, 17(9): 6192 - 6199. 

• Wang, Y.*, X. Li and F. Tsung. 2020. Configuration-based Smart Customization Service: A Multitask Learning Approach. IEEE Transactions on Automation Science and Engineering, 17(4): 2038-2047. 

• Mo, D., Y. Wang, L. Leung and M. Tseng. 2020. Optimal Service Parts Contract with Multiple Response Times and On-site Spare Parts. International Journal of Production Research, 58(10): 3049-3065. 

• Mo, D., Y. Wang, and M. Tseng. 2020. Mass Customizing Paratransit Services with a Ridesharing Option. IEEE Transactions on Engineering Management, 67(1): 234-245. 

• Wang, Y.*, D. Mo and M. M. Tseng. 2019. Relative Preference-based Product Configurator Design. Procedia CIRP, 83: 575-578. 

• Mo, D., W. Wang, Y. Wang and M. M. Tseng. 2019. Assessing the Cost Structure of Components Reuse in a Product Family for Remanufacturing. Journal of Intelligent Manufacturing, 30(2): 575-587. 

• Cheung, T., C. Wong, A. Zhang and Y. Wang. 2019. Is Spatial Dispersal the Dominant Trend in Global Air Transport Development? A Global Analysis for 2006–2015. Journal of Air Transport Management, 74(1): 1-12.

• Wang, Y., D. Mo and M. M. Tseng. 2018. Mapping Customer Needs to Design Parameters in the Front End of Product Design by Applying Deep Learning. CIRP Annals-Manufacturing Technology, 67(1): 145-148.

• Wang, W., Y. Wang*, D. Mo and M. M. Tseng. 2017. Managing Component Reuse in Remanufacturing under Product Diffusion Dynamics. International Journal of Production Economics, 183(1):551-560.

• Wang, W., Y. Wang*, D. Mo and M. M. Tseng. 2017. Component Reuse in Remanufacturing Across Multiple Product Generations. Procedia CIRP, 63: 704-708.

• Mo, D., Y. Wang and M. M. Tseng. 2016. Mass Customizing Spare Parts Support Services Based on Response Time with Inventory Pooling Strategies. IEEE Transactions on Engineering Management, 63(3): 305-315.

• Wang, Y.* and M. M. Tseng. 2015. A Naïve Bayes approach to Map Customer Requirements to Product Variants. Journal of Intelligent Manufacturing, 26(3): 501-509.

• Yan, J., Y. Wang, and M. M. Tseng. 2015. An Agent-based Approach for Resource Allocation in Customized Housing Construction. Procedia CIRP, 52: 161-166.

• Wang, Y.* and M. M. Tseng. 2014. Attribute selection for product configurator design based on Gini index. International Journal of Production Research, 52(20): 6136-6145.

• Wang, Y.* and M. M. Tseng. 2014. Identifying Emerging Customer Requirements in Early Design Stage by Applying Bayes Factor Based Sequential Analysis. IEEE Transactions on Engineering Management, 61(1): 129-137.

• Wang, Y. and M. M. Tseng. 2014. Incorporating Tolerances of Customers’ Requirements for Customized Products. CIRP Annals-Manufacturing Technology, 63(1): 129-132

• Chou, H. H., Y. Wang and C. C. Chieng. 2013. Dynamic Service Product Family for Mass Service Customization. International Journal of Innovative Research, 2(11): 6575-6585

• Wang, Y.* and M. M. Tseng. 2013. Customized Products Recommendation Based on Probabilistic Relevance Model, Journal of Intelligent Manufacturing, 24 (5): 951-960

• Wang, Y. and M. M. Tseng. 2012. A Two-step Hierarchical Product Configurator Design Methodology, Lecture Notes in Computer Science, 7661: 343-348

• Wang, Y.* and M. M. Tseng. 2011. Adaptive Attribute Selection for Configurator Design via Shapley Value. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 25 (1): 189–199.

• Wang, Y. and M. M. Tseng. 2011. Integrating Comprehensive Customer Requirements into Product Design. CIRP Annals-Manufacturing Technology, 60(1): 175-178.

• Chen, S., Y. Wang and M. M. Tseng. 2009. Mass Customization as a Collaborative Engineering Effort. International Journal of Collaborative Engineering, 1(2): 152-167.

• Wang, Y. and M. M. Tseng. 2008. Incorporating Probabilistic Model of Customers’ Preferences in Concurrent Engineering. CIRP Annals-Manufacturing Technology, 58(1): 137-140.

• Ma, B., L. Zhao, J. Shen and Y. Wang. 2006. Research of Product Configuration Technology for Mass Customization. Industrial Engineering and Management, 11(6): 96-106.