Profile of Dr WANG, Yue 王越 - The Education University of Hong Kong


Associate Head / Associate Professor	Department of Mathematics and Information Technology

Contact

ORCiD

0000-0002-0185-6172

Phone

(852) 2948 7484

wyue@eduhk.hk

Address

10 Lo Ping Road, Tai Po, New Territories, Hong Kong

Website

https://pappl.eduhk.hk/rich/web/person.xhtml?pid=312078&name=WANG, Yue

Scopus ID

35175219400

SDGs

3 - Good Health and Well-Being
12 - Responsible Consumption and Production

Research Outputs


Journal Publications S. Huang, H. Qin, T.-T. Chan, and Y. Wang (2026). Identifying novel customer needs from user-generated content for product development using pre-trained language model. Journal of Engineering Design, 37(3), 681-701. https://doi.org/10.1080/09544828.2025.2504850 SDGs infomation: 8 - Decent Work and Economic Growth, 9 - Industry, Innovation and Infrastructure, 12 - Responsible Consumption and Production S Huang, H Qin, Y Wang (2026). Mining novel customer needs for product design from user-generated content through large language model-enabled data augmentation and ensemble learning. International Journal of Production Research. https://doi.org/10.1080/00207543.2026.2625971 SDGs infomation: 9 - Industry, Innovation and Infrastructure Y. P. Tsang, C. H. Wu, Yue Wang, and W. H. Ip (2025). Semantic-driven internet of behaviours for enhancing supply chain ESG capabilities through generative AI. International Journal on Semantic Web and Information Systems, 21(1), 1-33. https://doi.org/10.4018/IJSWIS.385572 SDGs infomation: 9 - Industry, Innovation and Infrastructure, 12 - Responsible Consumption and Production Hoi-Lam Ma, Yige Sun, Daniel Y. Mo & Yue Wang (2025). Impact of passenger unused baggage capacity on air cargo delivery. Annals of Operations Research, 348, 1069-1085. https://doi.org/10.1007/s10479-023-05248-y SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities Qi Yang, Yuzhu Tian, Yijing Zhang &Yue Wang (2025). Modelling and forecasting tourism revenue with quantile neural networks: An empirical study from China. Applied Economics. https://doi.org/10.1080/00036846.2025.2553867 SDGs infomation: 3 - Good Health and Well-Being, 8 - Decent Work and Economic Growth Ting Xu, Yuzhu Tian, Yue Wang, Zhibao Mian (2025). Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction. Statistical Analysis and Data Mining: An ASA Data Science Journal, 18(5), Article e70046. https://doi.org/10.1002/sam.70046 SDGs infomation: 9 - Industry, Innovation and Infrastructure Shuqing Liang, Yuzhu Tian, Xianping Tang, Yue Wang & Chunho Wu (2025). Joint composite quantile regression modeling analysis of multivariate longitudinal data with its application to A liver cirrhosis dataset. Journal of Statistical Computation and Simulation, 95(18), 3938-3969. https://doi.org/10.1080/00949655.2025.2550345 SDGs infomation: 3 - Good Health and Well-Being Xiang Li, Yue Wang, C. H. Wu & Daniel Y. Mo (2025). Mapping customer needs to product technical specifications in quality function deployment using graphical convolutional networks. Enterprise Information Systems, 19(7-8), Article 2510346. https://doi.org/10.1080/17517575.2025.2510346 SDGs infomation: 8 - Decent Work and Economic Growth, 9 - Industry, Innovation and Infrastructure, 12 - Responsible Consumption and Production Xiang Li, Yue Wang, Daniel Y. Mo (2025). A domain knowledge integrated convolutional neural network for translating customer needs into configuration choices in mass customization. IEEE Transactions on Engineering Management, 72, 3567-3583. https://doi.org/10.1109/TEM.2025.3598853 SDGs infomation: 9 - Industry, Innovation and Infrastructure, 12 - Responsible Consumption and Production Yuzhu Tian, Xiaoyu Niu, Yue Wang, Maozai Tian & Chunho Wu (2025). Joint conditional quantiles inference of multivariate response regression model with VAR(q) error and its application in evaluating energy efficiency. Statistical Papers, 66, Article 126. https://doi.org/10.1007/s00362-025-01734-6 SDGs infomation: 7 - Affordable and Clean Energy Hong-Xia Zhang, Yu-Zhu Tian, Yue Wang, Mao-Zai Tian (2025). The joint quantile regression modeling of mixed ordinal and continuous responses with its application to an obesity risk data. Statistical Methods in Medical Research, 34(4), 663-682. https://doi.org/10.1177/09622802251316974 SDGs infomation: 3 - Good Health and Well-Being 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 Yue Wang, Daniel Mo (2025, August). Extracting and mapping product review keywords to product specifications for product customization. Proceedings of 2025 2nd International Conference on Digital Society and Artificial Intelligence, DSAI 2025 https://doi.org/10.1145/3748825.3748866 SDGs infomation: 12 - Responsible Consumption and Production 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 S. Ye, M.-Y. Chang, T.-T. Chan, H. Liu, Y. Wang, and L. Yu (2024, October). Effective search strategy for moving targets in unknown environments using multiple robots. IEEE International Conference on Parallel and Distributed Systems (ICPADS), Belgrade, Serbia. https://doi.org/10.1109/ICPADS63350.2024.00020 SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities, 15 - Life on Land

Journal Publications
S. Huang, H. Qin, T.-T. Chan, and Y. Wang (2026). Identifying novel customer needs from user-generated content for product development using pre-trained language model. Journal of Engineering Design, 37(3), 681-701. https://doi.org/10.1080/09544828.2025.2504850
SDGs infomation: 8 - Decent Work and Economic Growth, 9 - Industry, Innovation and Infrastructure, 12 - Responsible Consumption and Production
S Huang, H Qin, Y Wang (2026). Mining novel customer needs for product design from user-generated content through large language model-enabled data augmentation and ensemble learning. International Journal of Production Research. https://doi.org/10.1080/00207543.2026.2625971
SDGs infomation: 9 - Industry, Innovation and Infrastructure
Y. P. Tsang, C. H. Wu, Yue Wang, and W. H. Ip (2025). Semantic-driven internet of behaviours for enhancing supply chain ESG capabilities through generative AI. International Journal on Semantic Web and Information Systems, 21(1), 1-33. https://doi.org/10.4018/IJSWIS.385572
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 12 - Responsible Consumption and Production
Hoi-Lam Ma, Yige Sun, Daniel Y. Mo & Yue Wang (2025). Impact of passenger unused baggage capacity on air cargo delivery. Annals of Operations Research, 348, 1069-1085. https://doi.org/10.1007/s10479-023-05248-y
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
Qi Yang, Yuzhu Tian, Yijing Zhang &Yue Wang (2025). Modelling and forecasting tourism revenue with quantile neural networks: An empirical study from China. Applied Economics. https://doi.org/10.1080/00036846.2025.2553867
SDGs infomation: 3 - Good Health and Well-Being, 8 - Decent Work and Economic Growth
Ting Xu, Yuzhu Tian, Yue Wang, Zhibao Mian (2025). Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction. Statistical Analysis and Data Mining: An ASA Data Science Journal, 18(5), Article e70046. https://doi.org/10.1002/sam.70046
SDGs infomation: 9 - Industry, Innovation and Infrastructure
Shuqing Liang, Yuzhu Tian, Xianping Tang, Yue Wang & Chunho Wu (2025). Joint composite quantile regression modeling analysis of multivariate longitudinal data with its application to A liver cirrhosis dataset. Journal of Statistical Computation and Simulation, 95(18), 3938-3969. https://doi.org/10.1080/00949655.2025.2550345
SDGs infomation: 3 - Good Health and Well-Being
Xiang Li, Yue Wang, C. H. Wu & Daniel Y. Mo (2025). Mapping customer needs to product technical specifications in quality function deployment using graphical convolutional networks. Enterprise Information Systems, 19(7-8), Article 2510346. https://doi.org/10.1080/17517575.2025.2510346
SDGs infomation: 8 - Decent Work and Economic Growth, 9 - Industry, Innovation and Infrastructure, 12 - Responsible Consumption and Production
Xiang Li, Yue Wang, Daniel Y. Mo (2025). A domain knowledge integrated convolutional neural network for translating customer needs into configuration choices in mass customization. IEEE Transactions on Engineering Management, 72, 3567-3583. https://doi.org/10.1109/TEM.2025.3598853
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 12 - Responsible Consumption and Production
Yuzhu Tian, Xiaoyu Niu, Yue Wang, Maozai Tian & Chunho Wu (2025). Joint conditional quantiles inference of multivariate response regression model with VAR(q) error and its application in evaluating energy efficiency. Statistical Papers, 66, Article 126. https://doi.org/10.1007/s00362-025-01734-6
SDGs infomation: 7 - Affordable and Clean Energy
Hong-Xia Zhang, Yu-Zhu Tian, Yue Wang, Mao-Zai Tian (2025). The joint quantile regression modeling of mixed ordinal and continuous responses with its application to an obesity risk data. Statistical Methods in Medical Research, 34(4), 663-682. https://doi.org/10.1177/09622802251316974
SDGs infomation: 3 - Good Health and Well-Being
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
Yue Wang, Daniel Mo (2025, August). Extracting and mapping product review keywords to product specifications for product customization. Proceedings of 2025 2nd International Conference on Digital Society and Artificial Intelligence, DSAI 2025 https://doi.org/10.1145/3748825.3748866
SDGs infomation: 12 - Responsible Consumption and Production
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
S. Ye, M.-Y. Chang, T.-T. Chan, H. Liu, Y. Wang, and L. Yu (2024, October). Effective search strategy for moving targets in unknown environments using multiple robots. IEEE International Conference on Parallel and Distributed Systems (ICPADS), Belgrade, Serbia. https://doi.org/10.1109/ICPADS63350.2024.00020
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities, 15 - Life on Land

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