Yingjie Fan

Orcid: 0000-0003-0403-2619

Affiliations:
  • Leiden University, Leiden Institute of Advanced Computer Science (LIACS), The Netherlands
  • University of Hamburg, Germany (PhD 2017)


According to our database1, Yingjie Fan authored at least 15 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives.
CoRR, January, 2026

A Benchmark Study of Deep Reinforcement Learning Algorithms for the Container Stowage Planning Problem.
Proceedings of the Dynamics in Logistics, 2026

Enhancing Car-Sharing Efficiency: Incentives and Situational Factors in Vehicle Relocation.
Proceedings of the Dynamics in Logistics, 2026

Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Multi-Objective Optimisation.
CoRR, November, 2025

Multi-action Sampling with Deep Reinforcement Learning for Traveling Salesman Problem.
Proceedings of the Learning and Intelligent Optimization - 19th International Conference, 2025

2024
Multi-objective Optimization for Green Delivery Routing Problems with Flexible Time Windows.
Appl. Artif. Intell., December, 2024

Catastrophe insurance and flexible planning for supply chain disruption management: a stochastic simulation case study.
Int. J. Prod. Res., February, 2024

ACO-NSGAII: A Novel Metaheuristics for Bi-Objective Electric Vehicle Routing Problems.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

A Corridor Model Evolutionary Algorithm for Fast Converging Green Vehicle Routing Problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Cluster-Centric Local Search Strategies for Enhanced Multi-Objective Logistics Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2017
Stochastic programming for global supply chain planning.
PhD thesis, 2017

Stochastic Programming for Global Supply Chain Planning Under Uncertainty: An Outline.
Proceedings of the Computational Logistics - 8th International Conference, 2017

2016
Data-Intensive Analytics for Cat Bonds by Considering Supply Chain Risks.
Proceedings of the Design, User Experience, and Usability: Technological Contexts, 2016

2015
Supply Chain Risk Management in the Era of Big Data.
Proceedings of the Design, User Experience, and Usability: Design Discourse, 2015


  Loading...