Dr. WANG Yue  王越博士
Dr WANG Yue (王越博士)
BSc (Peking University)
MEng (Peking University)
PhD (HKUST)

Associate Professor
Department of Supply Chain and Information Management
MSC-GSCM Associate Programme Director

Tel : (852) 3963 5234


Dr Wang received the Bachelor of Science and Master of Engineering degrees from Peking University, Beijing, China, and the PhD degree from the Hong Kong University of Science and Technology (HKUST). He previously worked in MIT Media Lab as a Research Assistant and HKUST as Research Associate/Visiting Assistant Professor. His research interests include product development, operations management, machine learning, and applied statistics.

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


TopResearch Grants
  1. “Generalised Needs-based Product Configurator Design” (Principal Investigator), Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/E06/18, January 2019 – December 2020, HKD 783,250.
  2. “Configuration-based Recommendation for Online Product Customization in E-commerce” (Principal Investigator), Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/E07/17, January 2018 – December 2019, HKD 828,100.
  3. “Design of Flexible Vehicle Management Systems for Mass Customised and Sustainable Paratransit Services” (Co-Investigator), Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/E06/17, January 2018 – December 2019, HKD 776,322.
  4. “Intelligent Systems for the Digital Future of Supply Chains” (Co-Investigator), Hong Kong Research Grant Council, Inter-Institutional Development Scheme, Project No. UGC/IIDS14/E01/16, January 2017 – December 2017, HKD 541,198.
  5. ?“Relative Attribute Based Configurator Design for Mass Customization” (Principal Investigator), Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/E02/15, January 2016 – December 2017, HKD 783,150.
  6. “A Global Network Decision Support System for Air Passenger and Freight Businesses” (Co-Investigator), Hong Kong Research Grant Council, Faculty Development Scheme, Project No. UGC/FDS14/B03/15, January 2016 – December 2017, HKD 236,900.
  7. ?“Preventing Marginalization in Air Passenger and Freight Business – a Global Network Decision Support System” (Co-Investigator), Public Policy Research (PPR) Funding Scheme, Project No. 2014.B12.001.15A, June 2015 – May 2017, HKD 654,500.
  8. ?“An Investigation of Recommendation Approaches for Custom Product Specification” (Co-Investigator), Hong Kong Research Grant Council, General Research Fund, Project No. 620609, January 2010 – December 2012, HKD 611,691.
  9. “An Investigation of Probability-Based Configurator Design” (Co-Investigator), Hong Kong Research Grant Council, General Research Fund, Project No. 620308, January 2009 – December 2011, HKD 327,937.
TopPublication
  • Y. Wang, X. Li and F. Tsung. 2020. Configuration-based Smart Customization Service: A Multitask Learning Approach. IEEE Transactions on Automation Science and Engineering, accepted, DOI: 10.1109/TASE.2020.2986774.
  • Y. Wang, W. Zhao and X. Wan. 2019. Needs-based Product Configurator Design for Mass Customization Using Hierarchical Attention Network. IEEE Transactions on Automation Science and Engineering, accepted, DOI: 10.1109/TASE.2019.2957136.
  • Mo, D., Y. Wang, L. Leung and M. Tseng. 2019. Optimal Service Parts Contract with Multiple Response Times and On-site Spare Parts. International Journal of Production Research, accepted, DOI: 10.1080/00207543.2019.1625487.
  • Wang, Y., D. Mo and M. M. Tseng. 2019. Relative Preference-based Product Configurator Design. Procedia CIRP, accepted.
  • 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 Na?ve 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.
..........Book Chapter..........
  • M. Tseng. Jack S. Hu and Wang, Y. 2013. Mass Customization. CIRP Encyclopedia of Production Engineering. Springer-Verlag Berlin Heidelberg.
  • M. M. Tseng; Wang, Y.and Wang, Chenjie. 2013. Seasons of Mass Customization, Winter or Spring? KDI/EWC series on Economic Policy, Edward Elgar Publications
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.