Yue Wang

Orcid: 0000-0002-0185-6172

Affiliations:
  • Hang Seng Management College, Department of Supply Chain and Information Management, Hong Kong
  • Hong Kong University of Science and Technology, Department of Industrial Engineering and Logistics Management, Hong Kong (PhD 2009)


According to our database1, Yue Wang authored at least 30 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Ensemble learning with soft-prompted pretrained language models for fact checking.
Nat. Lang. Process. J., 2024

2023
Combating the COVID-19 infodemic using Prompt-Based curriculum learning.
Expert Syst. Appl., November, 2023

Maximal Marginal Relevance-Based Recommendation for Product Customisation.
Enterp. Inf. Syst., May, 2023

Perception of time in the online product customization process.
Ind. Manag. Data Syst., 2023

How Choice Fatigue Affects Consumer Decision Making in Online Shopping.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

2022
Bridging the Semantic Gap Between Customer Needs and Design Specifications Using User-Generated Content.
IEEE Trans. Engineering Management, 2022

Effective Mobile Target Searching Using Robots.
Mob. Networks Appl., 2022

Configuring products with natural language: a simple yet effective approach based on text embeddings and multilayer perceptron.
Int. J. Prod. Res., 2022

Redeploying excess inventories with lateral and reverse transshipments.
Int. J. Prod. Res., 2022

COVID-19 personal health mention detection from tweets using dual convolutional neural network.
Expert Syst. Appl., 2022

Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model.
IEEE Access, 2022

2021
Knowledge-Empowered Multitask Learning to Address the Semantic Gap Between Customer Needs and Design Specifications.
IEEE Trans. Ind. Informatics, 2021

Mining Product Reviews for Needs-Based Product Configurator Design: A Transfer Learning-Based Approach.
IEEE Trans. Ind. Informatics, 2021

Needs-Based Product Configurator Design for Mass Customization Using Hierarchical Attention Network.
IEEE Trans Autom. Sci. Eng., 2021

Addressing the Semantic Gap in the Consumer-to-Manufacturer Strategy Using Dual Convolutional Neural Network.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2021

2020
Mass Customizing Paratransit Services With a Ridesharing Option.
IEEE Trans. Engineering Management, 2020

Configuration-Based Smart Customization Service: A Multitask Learning Approach.
IEEE Trans Autom. Sci. Eng., 2020

Optimal service parts contract with multiple response times and on-site spare parts.
Int. J. Prod. Res., 2020

Perception of Time in the Product Configuration Process: An Empirical Study.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Personal Health Mention Identification from Tweets Using Convolutional Neural Network.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

2019
Assessing the cost structure of component reuse in a product family for remanufacturing.
J. Intell. Manuf., 2019

Observational Learning in the Product Configuration Process: The Effect of Information Presentation Format.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

2018
Consolidating Orders in a Crowdsourcing Delivery Network.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

The Effect of Default Options on Consumer Decisions in the Product Configuration Process.
Proceedings of the 20th Configuration Workshop, Graz, Austria, September 27-28, 2018., 2018

2016
Mass Customizing Spare Parts Support Services Based on Response Time With Inventory Pooling Strategies.
IEEE Trans. Engineering Management, 2016

2015
A Naïve Bayes approach to map customer requirements to product variants.
J. Intell. Manuf., 2015

2014
Identifying Emerging Customer Requirements in an Early Design Stage by Applying Bayes Factor-Based Sequential Analysis.
IEEE Trans. Engineering Management, 2014

2013
Customized products recommendation based on probabilistic relevance model.
J. Intell. Manuf., 2013

2012
A Two-Step Hierarchical Product Configurator Design Methodology.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

2011
Adaptive attribute selection for configurator design via Shapley value.
Artif. Intell. Eng. Des. Anal. Manuf., 2011


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