Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Lingxiao Wu

Assistant Professor

The Hong Kong Polytechnic University

China

Research Interests

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Collaborators (5)

Kam Hung Ng

Associate Head and Associate Professor

The Hong Kong Polytechnic University

HONG KONG

View details

Changmin Jiang

Associate Professor

The Hong Kong Polytechnic University

HONG KONG

View details

Wenbo Sun

The Hong Kong Polytechnic University

HONG KONG

View details

Yong-Hong Kuo

Associate Professor

The University of Hong Kong

HONG KONG

View details

Shuai Jia

The Hong Kong University of Science and Technology

HONG KONG

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Lingxiao Wu

Research Interests

Articles (20)

Promoting green port-hinterland transportation: A branch-and-price algorithm for electric truck charging management

Stabilised branch-and-check method for optimising multi-runway aircraft landing problem modelled through stochastic programming with learning-driven arrival time predictions

Route optimisation of truck-and-drone systems for multi-type rescue tasks: a heuristic approach

Robust optimization for truck-and-drone collaboration with travel time uncertainties

An Exact Algorithm to Solve Vehicle Routing Problem with Drones for Delivery and Surveillance Tasks After Disasters

Data-Driven Predict-then-Optimize framework for landing scheduling with hybrid descent modes

Fleet scheduling for electric towing of aircraft with nonlinear charging profile and on-demand charging strategy

Joint fleet scheduling and cargo flow allocation for air cargo services

Towards automated optimization algorithm design with LLM: An exploratory study in multi-objective weather routing

Deep reinforcement learning approach to solving clustered vehicle routing problems

Robust vessel traffic scheduling with uncertain Berth Service Times in a Seaport

A comprehensive framework for estimating aircraft fuel consumption based on flight trajectories

Rescue network design considering uncertainty and deprivation cost in urban waterlogging disaster relief

A reliable predict-then-optimize approach for minimizing aircraft fuel consumption

The flex-route transit planning problem with meeting points

Tugboat electrification planning for container ports

Risk-averse distributionally robust optimization for construction waste reverse logistics with a joint chance constraint

Fleet sizing with time and voyage-chartered vessels for an oil shipping company under demand uncertainty

Learning-based Pareto-optimum routing of ships incorporating uncertain meteorological and oceanographic forecasts

Multidimensional container shipping alliance decisions among competitors: Impact of capacity constraints and market competition

Collaborators (5)

Kam Hung Ng

Changmin Jiang

Wenbo Sun

Yong-Hong Kuo

Shuai Jia

Make your next move.