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Mr Tian Xuecheng

Mr Tian Xuecheng

PhD Student

Tian Xuecheng received his MSc (2022) in Wuhan University and BSc (2019) in Dalian Maritime University. He is currently a PhD student under the supervision of Prof. Hans Wang Shuaian.

Education and Academic Qualifications

  • BSc (2019), Transportation, Dalian Maritime University
  • MSc (2022), Management Science and Engineering, Wuhan University

Research Outputs

Journal Publications

  1. Tian, X., Yan, R., Liu, Y., & Wang, S. (2023). A smart predict-then-optimize method for targeted and cost-effective maritime transportation. Transportation Research Part B: Methodological, 172(2), 32–52.
  2. Wang, T., Tian, X., & Wang, Y. (2020). Container slot allocation and dynamic pricing of time-sensitive cargoes considering port congestion and uncertain demand. Transportation Research Part E: Logistics and Transport Review, 144, 102149
  3. Tian, X., Yan, R., Wang, S., & Laporte, G. (2023). Prescriptive analytics for a maritime routing problem. Ocean & Coastal Management, 242(1), 106695.
  4. Yan, R., Tian, X., Wang, S., & Peng, C. (2023). Development of computer vision informed container crane operator alarm methods. Transportmetrica A: Transport Science. [in press]
  5. Wang, H., Yi, W., Tian, X., & Zhen, L. (2023). Prescriptive analytics for intelligent transportation systems with uncertain demand. ASCE Journal of Transportation Engineering, Part A: Systems. [in press]
  6. Wang, T., Tian, X., & Guan, X. (2023). An approximate dynamic programming algorithm for multi-period maritime fleet renewal problem under uncertain market. International Journal of Shipping and Transport Logistics, 16(1–2), 96–119.
  7. Tian, X., Guan, Y., & Wang, S. (2023). A decision-focused learning framework for vessel selection problem. Mathematics, 11(16), 3503.
  8. Tian, X., Yan, R., Wang, S., & Liu, Y. (2023). Tutorial on prescriptive analytics for logistics: What to predict and how to predict. Electronic Research Archive, 31(4), 2265–2285.
  9. Shangguan, Y., Tian, X., Jin, S., Gao, K., Hu, X., Yi, W., Guo, Y., & Wang, S. (2023). On the fundamental diagram for freeway traffic: Exploring the lower bound of the fitting error and correcting the generalized linear regression models. Mathematics, 11(16), 3460.
  10. Wang, S., & Tian, X. (2023). A deficiency of the predict-then-optimize framework: Decreased decision quality with increased data size. Mathematics, 11(15), 3359.
  11. Wang, S., & Tian, X. (2023). A deficiency of the weighted sample average approximation (wSAA) framework: Unveiling the gap between data-driven policies and oracles. Applied Sciences, 13(14), 8355.
  12. Tian, X., & Wang, S. (2022). Cost-sensitive Laplacian logistic regression for ship detention prediction. Mathematics, 11(1), 119.
  13. Tian, X., & Zhu, X. (2022). Data analytics in transport: Does Simpson’s paradox exist in rule of ship selection for port state control? Electronic Research Archive, 31(1), 251–272.
  14. Tian, X., Yan, R., Qi, J., Zhuge, D., & Wang, H. (2022). A bi-level programming model for China’s marine domestic emission control area design. Sustainability, 14(6), 3562.
  15. Wang, S., Tian, X., Yan, R., & Liu, Y. (2022). A deficiency of prescriptive analytics—No perfect predicted value or predicted distribution exists. Electronic Research Archive, 30(10), 3586–3954.
  16. Xin, X., Wang, X., Tian, X., Chen, Z., & Chen, K. (2019). Green scheduling model of shuttle tanker fleet considering carbon tax and variable speed factor. Journal of Cleaner Production, 234(2), 1134–1143.


Working Paper

  1. Tian, X., Liu, Y., & Wang, S. Navigating uncertain ship fuel prices for liner shipping. Under review.
  2. Tian, X., Wang, S., Laporte, G., & Yang, Y. Contextual nonlinear optimization: Estimating conditional distributions with machine learning. Under review.
  3. Tian, X., Wang, S., Laporte, G., & Yang, Y. Determinism vs uncertainty: Examining the worst-case relative regrets of data-driven policies. Under review.
  4. Tian, X., Guan, Y., & Wang, S. Data transformation in the predict-then-optimize framework: Enhancing decision making under uncertainty. Under review.
  5. Wang, T., Meng, Q., & Tian, X. Dynamic container slot allocation for a liner shipping service. Under review.


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