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Jiaxing LI

Queen Mary University of London

Mile End Road

London , E1 4NS

United Kingdom

SCHOLARLY PAPERS

3

DOWNLOADS

186

TOTAL CITATIONS

1

Scholarly Papers (3)

1.

Enhancing Airport Ground Movement Operations through Data: A Review with a Focus on Uncertainty Management

Number of pages: 52 Posted: 19 Mar 2026
Queen Mary University of London, Queen Mary University of London - School of Engineering & Materials Science, Independent, Independent, Independent, Queen Mary University of London - School of Engineering & Materials Science, Heriot-Watt University - Heriot (Dubai Campus), University of Stirling, University of Leicester, University of Sheffield - University of Sheffield, Independent, Beihang University (BUAA), Independent, Civil Aviation Management Institute of China, Nanjing University of Aeronautics and Astronautics, Shanghai University, Central South University, Independent, Independent, Independent, Queen Mary University of London and Queen Mary University of London
Downloads 100 (777,583)
Citation 1

Abstract:

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Airport ground movement, uncertainty management, data-driven approaches, human factors, decision support systems

2.

A robust multi-objective optimisation method for airport ground movement

Number of pages: 30 Posted: 01 Oct 2025
Jiaxing LI, Jun Chen and Xinwei Wang
Queen Mary University of London, Queen Mary University of London and Queen Mary University of London
Downloads 66 (916,100)

Abstract:

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Airport ground movement, Multi-objective optimisation, Chance-constrained programming, Monte Carlo simulation, Taxiing time and fuel consumption uncertainties

3.

Deep Reinforcement Learning Based Multi-Objective Optimization for Energy-Aware Task Scheduling of Data Relay Satellite Network

Number of pages: 65 Posted: 18 Apr 2026
Queen Mary University of London, Central South University, affiliation not provided to SSRN, Central South University and Queen Mary University of London
Downloads 20 (1,500,778)

Abstract:

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Multi-objective optimization, Data relay satellite network, Deep reinforcement learning, Task Scheduling, Energy
consumption