Flow Diversion Approaches for Shipment Routing in Automatic Shipment Handling Systems. - Raymond K. Cheung; Allen W. Lee; Daniel Y. Mo (ICRA, 2006)

Flow Diversion Strategies for Routing in Integrated Automatic Shipment Handling Systems. - Daniel Y. Mo; Raymond K. Cheung; Allen W. Lee; G. K. Law (IEEE Trans Autom. Sci. Eng., 2009)

Design of inventory pools in spare part support operation systems. - Daniel Y. Mo; Mitchell M. Tseng; Raymond K. Cheung (Int. J. Syst. Sci., 2014)

Mass Customizing Spare Parts Support Services Based on Response Time With Inventory Pooling Strategies. - Daniel Y. Mo; Mitchell M. Tseng; Yue Wang 042 (IEEE Trans. Engineering Management, 2016)

The Effect of Default Options on Consumer Decisions in the Product Configuration Process. - Yue Wang 042; Daniel Yiu-Wing Mo (ConfWS, 2018)

Consolidating Orders in a Crowdsourcing Delivery Network. - Daniel Y. Mo; Yue Wang 042; Nicole Chan (IEEM, 2018)

A Fuzzy-AHP Approach for Strategic Evaluation and Selection of Digital Marketing Tools. - Ka Ho Leung; Daniel Y. Mo (IEEM, 2019)

Observational Learning in the Product Configuration Process: The Effect of Information Presentation Format. - Yue Wang 042; Daniel Y. Mo (IEEM, 2019)

Revamping NetApp's Service Parts Operations by Process Optimization. - Daniel Y. Mo; Stephen C. H. Ng; David Tai (INFORMS J. Appl. Anal., 2019)

Assessing the cost structure of component reuse in a product family for remanufacturing. - Wenyuan Wang; Daniel Y. Mo; Yue Wang 042; Mitchell M. Tseng (J. Intell. Manuf., 2019)

Personal Health Mention Identification from Tweets Using Convolutional Neural Network. - Yue Wang 042; Xiang Li; Daniel Y. Mo (IEEM, 2020)

Perception of Time in the Product Configuration Process: An Empirical Study. - Yue Wang 042; Daniel Y. Mo (SMC, 2020)

Optimal service parts contract with multiple response times and on-site spare parts. - Daniel Y. Mo; Yue Wang 042; Lawrence C. Leung; Mitchell M. Tseng (Int. J. Prod. Res., 2020)

Modelling near-real-time order arrival demand in e-commerce context: a machine learning predictive methodology. - Ka Ho Leung; Daniel Y. Mo; George T. S. Ho; Chun-Ho Wu; George Q. Huang (Ind. Manag. Data Syst., 2020)

Mass Customizing Paratransit Services With a Ridesharing Option. - Daniel Y. Mo; Yue Wang 042; Y. C. E. Lee; Mitchell M. Tseng (IEEE Trans. Engineering Management, 2020)

Closed-loop digital twin system for air cargo load planning operations. - Eugene Yin Cheung Wong; Daniel Y. Mo; Stuart C. K. So (Int. J. Comput. Integr. Manuf., 2021)

Enhancing data-driven elderly appointment services in domestic care communities under COVID-19. - Hoi Yan Lam; George To Sum Ho; Daniel Y. Mo; Valerie Tang (Ind. Manag. Data Syst., 2021)

Knowledge-Empowered Multitask Learning to Address the Semantic Gap Between Customer Needs and Design Specifications. - Yue Wang 042; Xiang Li; Daniel Y. Mo (IEEE Trans. Ind. Informatics, 2021)

Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model. - Linkai Luo; Yue Wang 042; Daniel Y. Mo (IEEE Access, 2022)

Theoretical model of investigating determinants for a successful Electronic Assessment System (EAS) in higher education. - Daniel Y. Mo; Yuk-Ming Tang; Edmund Y. Wu; Valerie Tang (Educ. Inf. Technol., 2022)

Redeploying excess inventories with lateral and reverse transshipments. - Daniel Y. Mo; Yue Wang 042; Danny C. K. Ho; Ka Ho Leung (Int. J. Prod. Res., 2022)

Configuring products with natural language: a simple yet effective approach based on text embeddings and multilayer perceptron. - Yue Wang 042; Xiang Li; Linda L. Zhang; Daniel Y. Mo (Int. J. Prod. Res., 2022)

Solving Capacitated and Time-constrained Vehicle Routing Problems by Deep Reinforcement Learning-based Method. - Yung Po Tsang; Daniel Y. Mo; K. T. Chung; Carman Ka Man Lee (IEEM, 2023)

How Choice Fatigue Affects Consumer Decision Making in Online Shopping. - Yue Wang 042; Daniel Y. Mo; George T. S. Ho (IEEM, 2023)

Perception of time in the online product customization process. - Yue Wang 042; Daniel Y. Mo; Hoi-Lam Ma (Ind. Manag. Data Syst., 2023)

Mining Novel Customer Needs from Online Product Review. - Shaoqin Huang; Yue Wang 042; Daniel Y. Mo; Hai Liu 001 (ICDSM, 2024)

Online reinforcement learning-based inventory control for intelligent E-Fulfilment dealing with nonstationary demand. - Daniel Y. Mo; Yung Po Tsang; Y. Wang; Weikun Xu (Enterp. Inf. Syst., 2024)

DeepPack3D: A Python package for online 3D bin packing optimization by deep reinforcement learning and constructive heuristics. - Yung Po Tsang; Daniel Yiu-Wing Mo; K. T. Chung; Carman Ka Man Lee (Softw. Impacts, 2025)

A Domain Knowledge Integrated Convolutional Neural Network for Translating Customer Needs Into Configuration Choices in Mass Customization. - Xiang Li; Yue Wang 042; Daniel Y. Mo (IEEE Trans. Engineering Management, 2025)

Prompt-based contrastive learning to combat the COVID-19 infodemic. - Zifan Peng; Mingchen Li; Yue Wang 042; Daniel Y. Mo (Mach. Learn., 2025)

Impact of passenger unused baggage capacity on air cargo delivery. - Hoi-Lam Ma; Yige Sun; Daniel Y. Mo; Yue Wang 042 (Ann. Oper. Res., 2025)

Transforming cold chain logistics: a reversible vehicle routing approach for sustainable and efficient delivery of perishable goods. - Hoi Yan Lam; George To Sum Ho; Daniel Y. Mo; Lap Wong (Enterp. Inf. Syst., 2025)

Mapping customer needs to product technical specifications in quality function deployment using graphical convolutional networks. - Xiang Li; Yue Wang 042; C. H. Wu; Daniel Y. Mo (Enterp. Inf. Syst., 2025)