[1] Li, G., Li, N., & Sethi, S. P. (2021). Does CSR reduce idiosyncratic risk? Roles of operational efficiency and AI innovation. Production and Operations Management, 30(7), 2027-2045.
[2] Li, N., & Li, G. (2022). Hybrid partheno-genetic algorithm for multi-depot perishable food delivery problem with mixed time windows. Annals of Operations Research, DOI:10.1007/s10479-022-04747-8.
[3] Li, G., Li, N., Sambandam, N., Sethi, S. P., & Zhang, F. (2018). Flow shop scheduling with jobs arriving at different times. International Journal of Production Economics, 206, 250-260.
[4] Li, G., Xue, J., Li, N., & Ivanov, D. (2022). Blockchain-supported business model design, supply chain resilience, and firm performance. Transportation Research Part E: Logistics and Transportation Review, 163, 102773.
[5] Li, G., & Li, N. (2019). Customs classification for cross-border e-commerce based on text-image adaptive convolutional neural network. Electronic Commerce Research, 19, 779-800.
[6] Xue, J., Li, G., & Li, N. (2022). Does green and sustainable engagement benefit online platforms in supply chains? The role of green and public concern. International Journal of Logistics Research and Applications, 25(4-5), 678-693.
[1] Outstanding Graduates of Beijing Institute of Technology, 2023
[2] Outstanding doctoral dissertation, 2023
[3] National Doctoral Scholarship, 2021
[4] Outstanding Graduate Student Model of Beijing Institute of Technology, 2021
[5] Second Prize for Excellent Thesis of the China Logistics Society, 2021
Served as an anonymous reviewer for journals such as Transportation Research Part E: Logistics and Transportation Review, Annals of Operations Research and Electronic Commerce Research.
Doctoral courses taught
l Big data models and methods in Logistics
Postgraduate courses taught
l Machine learning and Big data analysis in Logistics