Research InterestsResearch GrantsPublicationConference Presentation |
TopResearch Interests |
- Production and operations management
- Business intelligence and design informatics
- Sustainable design and product life cycle engineering
- Machine learning and applied statistics
- Brain-computer interface and its application in consumer behavior and user experience
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TopResearch Grants |
- PI: “MetaConfigurator: A Resource-Effective Method to Develop Needs-Based Configurators for Product Customisation,” Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/E05/22, January 2023– December 2025, HKD 1,261,600.
- PI: “AutoQFD: A Smart Quality Function Deployment Method for Product Development,” Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/E08/21, January 2022 – December 2024, HKD 1,209,850.
- PI: “Applying Deep Learning in Identification of Personal Health Mention Related to COVID-19 from Tweets,” Interdisciplinary and Strategic Research Project, The Hang Seng University of Hong Kong, July 2021 – December 2022, HKD 240,000.
- PI: “Identifying Novel Customer Needs from User-Generated Content for Product Development,” Faculty Development Grant, School of Decision Sciences, The Hang Seng University of Hong Kong, March 2020 – February 2021, HKD 100,000.
- PI: “Generalised Needs-based Product Configurator Design,” Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/E06/18, January 2019 – June 2021, HKD 783,250.
- PI: “Configuration-based Recommendation for Online Product Customization in E-commerce,” Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/E07/17, January 2018 – June 2020, HKD 828,100.
- Co-I: “Design of Flexible Vehicle Management Systems for Mass Customised and Sustainable Paratransit Services,” Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/E06/17, January 2018 – December 2019, HKD 776,322.
- Co-I: “Intelligent Systems for the Digital Future of Supply Chains,” Hong Kong Research Grant Council, Inter-Institutional Development Scheme, Project No. UGC/IIDS14/E01/16, January 2017 – December 2017, HKD 541,198.
- PI - “Relative Attribute Based Configurator Design for Mass Customization,” Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/E02/15, January 2016 – December 2017, HKD 783,150.
- Co-I: “A Global Network Decision Support System for Air Passenger and Freight Businesses,” Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/B03/15, January 2016 – December 2017, HKD 236,900.
- Co-I: “Preventing Marginalization in Air Passenger and Freight Business – a Global Network Decision Support System,” Public Policy Research (PPR) Funding Scheme, Project No. 2014.B12.001.15A, June 2015 – May 2017, HKD 654,500.
- Co-I: “An Investigation of Recommendation Approaches for Custom Product Specification,” Hong Kong Research Grant Council, General Research Fund, Project No. 620609, January 2010 – December 2012, HKD 611,691.
- Co-I: “An Investigation of Probability-Based Configurator Design,” Hong Kong Research Grant Council, General Research Fund, Project No. 620308, January 2009 – December 2011, HKD 327,937.
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TopPublication |
*: Corresponding author
- 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.
- 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.
- 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.
- 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.
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TopConference Presentation |
- Wang, Y. and M. M. Tseng. 2013. Product Configurator Design Based on Gini Index. Proceedings of The 19th International Conference on Engineering Design, Seoul, August 19 - 22, 2013.
- Wang, Y. and M. M. Tseng. 2012.A Two-step Hierarchical Product Configurator Design Methodology. Lecture Notes in Computer Science.
- H. H. Chou; Wang, Y., C.C.Chieng and M. M. Tseng.2010. Process Design for Customized Service.
- Wang, Y. and M. M. Tseng.2010. Consideration Set Based Product Configurator Design. Proceedings of International Conference on Mass Customization and Personalization, Taipei, Taiwan, December 2010.
- Wang, Y. and M. M. Tseng.2009. Attribute Selection for Configurator Design Based on Probabilistic Relevance Model. Proceedings of ASME International Design Engineering Technical Conferences &Computers and Information in Engineering Conference (IDETC/CIE 2009), San Diego.
- Wang, Y. and M. M. Tseng.2009. Adaptive Recommendation for Custom Product via Probability Ranking Principle. Proceedings of IEEE International Conference on Industrial Engineering and Engineering Management, Hong Kong, 7-10, December 2009.
- Wang, Y. and M. M. Tseng.2008. Defining Specifications for Custom Products: A Bayesian Probabilistic Approach. Proceedings of ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2008), New York City.
- Wang, Y. and M. M. Tseng.2007. An Approach to Improve the Efficiency of Configurators. Proceedings of IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 2-5, December 2007.
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